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Mini 6 dof Arm. 3D printed planetary gearboxs & more… [📍GitHub link below ] A mini 6-axis arm driven by stepper motors with custom 3D printed split ring planetary gearboxs and an inverted belt differential wrist with custom bearings, driven by low-cost stepper motors and TMC5150 drivers. Custom firmware...

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Ilir Aliu

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33,958 次观看 • 3 个月前 •via X (Twitter)

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The era of the specialist is over. Full-stack GTM athletes are taking over. For too long, GTM has been divided into specialists, creating a soul-crushing web of dependencies: - Sales needs a custom business case to close a deal, but Marketing is slammed. - Marketing has a winning campaign idea, but design and engineering can’t prioritize it. - CRO has 5 ideas for increasing sales productivity, but no GTM engineers to execute. In GTM, speed is everything and dependencies are the enemy. That's why we're giving GTM teams the full-stack capabilities they need to close revenue. Welcome to the era of the GTM Athlete. These are people who don't ask permission or wait in queues. They can do whatever is needed to take deals from cold to closed—research accounts, launch ads, create a business case, generate tailored follow-ups, and close deals. Sales rep brainstorms with their champion how to convince the CISO. 30 mins later sends them a polished business case with security architecture and ROI. By lunch time, she launches ads to the entire buying committee. The next day, the rep presents a custom deck to key decision makers and gets verbal commitment. No more begging. No more waiting. No more losing. Our vision is to build the AI Swiss Army knife that turns specialists into GTM athletes. Today we are launching a critical capability that enables this vision: an AI agent that can create anything customer facing. You can now create executive business cases, deal follow-ups, landing pages, ABM campaigns and more, all by yourself. Unlike other AI tools, our agent plugs into your brand and data to create materials that actually look and sound like you. Sign up on our website. We're letting people off the waitlist every day, with 30 days of unlimited AI usage. I’d love to hear your feedback.
0:11

The era of the specialist is over. Full-stack GTM athletes are taking over. For too long, GTM has been divided into specialists, creating a soul-crushing web of dependencies: - Sales needs a custom business case to close a deal, but Marketing is slammed. - Marketing has a winning campaign idea, but design and engineering can’t prioritize it. - CRO has 5 ideas for increasing sales productivity, but no GTM engineers to execute. In GTM, speed is everything and dependencies are the enemy. That's why we're giving GTM teams the full-stack capabilities they need to close revenue. Welcome to the era of the GTM Athlete. These are people who don't ask permission or wait in queues. They can do whatever is needed to take deals from cold to closed—research accounts, launch ads, create a business case, generate tailored follow-ups, and close deals. Sales rep brainstorms with their champion how to convince the CISO. 30 mins later sends them a polished business case with security architecture and ROI. By lunch time, she launches ads to the entire buying committee. The next day, the rep presents a custom deck to key decision makers and gets verbal commitment. No more begging. No more waiting. No more losing. Our vision is to build the AI Swiss Army knife that turns specialists into GTM athletes. Today we are launching a critical capability that enables this vision: an AI agent that can create anything customer facing. You can now create executive business cases, deal follow-ups, landing pages, ABM campaigns and more, all by yourself. Unlike other AI tools, our agent plugs into your brand and data to create materials that actually look and sound like you. Sign up on our website. We're letting people off the waitlist every day, with 30 days of unlimited AI usage. I’d love to hear your feedback.

Jaleh Rezaei

219,411 次观看 • 6 个月前

Goldman pays $27,000 per seat for a Bloomberg Terminal. I found 10 open source tools on GitHub that replicate almost all of it for free. Retail investors have never had this much firepower. Bookmark & Repost this one: 1. OpenBB Stocks, options, crypto, forex, and macro data in one research platform. Build your own dashboards, reports, and AI analysts on top of it. The OG of open source finance. 50K+ stars. 2. FinceptTerminal A full financial terminal: global market data, advanced charts, economic indicators, portfolio analysis, and AI research tools. Windows, Mac, and Linux. 3. Neuberg 516 drag-and-drop panels covering equities, bonds, commodities, currencies, credit, and macro. Even connects to Alpaca, Hyperliquid, and Polymarket so you can trade from the terminal itself. 4. Qlib (by Microsoft) An open source AI platform for quant investing. Train ML models, discover signals, backtest strategies, and build portfolios with the same workflow a quant desk uses. 5. FinRobot An AI equity research team on your laptop. Its agents read financial statements, build DCF valuations, debate bull vs bear cases, and generate full investment reports. 6. EdgarTools Turns the SEC database into something humans can actually use. Pull 10-Ks, 10-Qs, insider trades, executive pay, and hedge fund holdings going back to 1994. 7. LEAN (by QuantConnect) An institutional-grade engine for trading algorithms. Write strategies in Python or C#, backtest on decades of data, then connect to real brokers and go live. 8. FinanceToolkit 200+ financial ratios, valuation models, risk metrics, and economic indicators. Works on stocks, ETFs, options, currencies, commodities, and crypto from Python. 9. Ghostfolio A private wealth dashboard for stocks, ETFs, and crypto across all your accounts. Performance, allocation, diversification. Your data never leaves your machine. 10. OpenTerminalUI A self-hosted trading terminal: pro charts, screeners, options chains with live Greeks, portfolio optimization, backtesting, and an AI research agent. Runs entirely on your own hardware. Bloomberg spent 40 years building a $27,000/year moat. Open source is draining it one repo at a time. The software is free. Some live data feeds need your own API keys, but the barrier is now effort, not money. If you want the exact workflows we use to stack these tools with AI, join the AIBullss Discord:
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Goldman pays $27,000 per seat for a Bloomberg Terminal. I found 10 open source tools on GitHub that replicate almost all of it for free. Retail investors have never had this much firepower. Bookmark & Repost this one: 1. OpenBB Stocks, options, crypto, forex, and macro data in one research platform. Build your own dashboards, reports, and AI analysts on top of it. The OG of open source finance. 50K+ stars. 2. FinceptTerminal A full financial terminal: global market data, advanced charts, economic indicators, portfolio analysis, and AI research tools. Windows, Mac, and Linux. 3. Neuberg 516 drag-and-drop panels covering equities, bonds, commodities, currencies, credit, and macro. Even connects to Alpaca, Hyperliquid, and Polymarket so you can trade from the terminal itself. 4. Qlib (by Microsoft) An open source AI platform for quant investing. Train ML models, discover signals, backtest strategies, and build portfolios with the same workflow a quant desk uses. 5. FinRobot An AI equity research team on your laptop. Its agents read financial statements, build DCF valuations, debate bull vs bear cases, and generate full investment reports. 6. EdgarTools Turns the SEC database into something humans can actually use. Pull 10-Ks, 10-Qs, insider trades, executive pay, and hedge fund holdings going back to 1994. 7. LEAN (by QuantConnect) An institutional-grade engine for trading algorithms. Write strategies in Python or C#, backtest on decades of data, then connect to real brokers and go live. 8. FinanceToolkit 200+ financial ratios, valuation models, risk metrics, and economic indicators. Works on stocks, ETFs, options, currencies, commodities, and crypto from Python. 9. Ghostfolio A private wealth dashboard for stocks, ETFs, and crypto across all your accounts. Performance, allocation, diversification. Your data never leaves your machine. 10. OpenTerminalUI A self-hosted trading terminal: pro charts, screeners, options chains with live Greeks, portfolio optimization, backtesting, and an AI research agent. Runs entirely on your own hardware. Bloomberg spent 40 years building a $27,000/year moat. Open source is draining it one repo at a time. The software is free. Some live data feeds need your own API keys, but the barrier is now effort, not money. If you want the exact workflows we use to stack these tools with AI, join the AIBullss Discord:

AI Bulls

20,094 次观看 • 12 天前

Cat Playing With Its Mouse: The Meaning Behind China’s Radar Lock on Japan’s F-15J on December 6th There is real tension in the air between Japan and China. Washington is slowly retreating from the Western Pacific, abandoning the region to Japan and telling it to hold the line alone. The world has shifted. There was a time when China was weak and poor, when every bully felt entitled to trample it. Those days are over. China rose for one purpose: to never again be abused and bullied. And now, strong and self-assured, China can finally settle accounts with the old tormentors — and Japan is at the top of that list. But the age of war has changed. The modern battlefield is not measured by bayonets or trenches, but by fire-control radars, AI-driven targeting systems, and the kind of technological superiority that lets you toy with your opponent without firing a shot. And this is exactly what unfolded on December 6. The Fire-Control Radar Incident: A Gun to the Forehead Koizumi Shinzorō, Japan’s Prime Minister, wanted confrontation, and China responded with precision. On December 6, Japan’s Defense Minister publicly admitted that J-15s launched from the Liaoning carrier had twice locked Japan’s F-15Js with fire-control radar over the high seas southeast of Okinawa. He called it “dangerous” and expressed “deep regret.” He is right to feel danger. This was no accident, no miscalculation. This was the PLA presenting a complete offensive posture, signaling that the region is one fingertip away from war — and China is fully prepared to exercise their rights under UN Charter Article 107. Most people have no idea how deadly serious “fire-control illumination” is. Japan’s F-15J pilot certainly knew: his cockpit must have exploded into warning alarms; Imagine that shrill beeping screaming through the cockpit for half an hour - enough to drive any normal person mad; his breathing must have turned shallow; his hands probably shook as he tried to maneuver away from the lock. However, even under that level of crushing psychological pressure, the Japanese pilot chose to stay inside the zone rather than fleeing. This is kamicaze level provocation. Because the moment fire-control goes live, the radar narrows into a focused beam, feeding exact parameters to the missile under the jet’s wing. In peacetime exercises, a sustained lock counts as a confirmed kill. In real combat, nobody activates it unless they are ready to shoot. And China kept that beam on the F-15J for over half an hour. First lock: 16:32–16:35, three full minutes. Second lock: 18:37–19:08, more than thirty minutes. There is no suspense about how this confrontation would end in a real war. It would be a guaranteed kill. The Cat and the Mouse To be precise, the J-15 wasn’t merely locking and unlocking. It was playing — the way a cat toys with a mouse trapped under its paw. Japan’s F-15J was that mouse.
0:12

Cat Playing With Its Mouse: The Meaning Behind China’s Radar Lock on Japan’s F-15J on December 6th There is real tension in the air between Japan and China. Washington is slowly retreating from the Western Pacific, abandoning the region to Japan and telling it to hold the line alone. The world has shifted. There was a time when China was weak and poor, when every bully felt entitled to trample it. Those days are over. China rose for one purpose: to never again be abused and bullied. And now, strong and self-assured, China can finally settle accounts with the old tormentors — and Japan is at the top of that list. But the age of war has changed. The modern battlefield is not measured by bayonets or trenches, but by fire-control radars, AI-driven targeting systems, and the kind of technological superiority that lets you toy with your opponent without firing a shot. And this is exactly what unfolded on December 6. The Fire-Control Radar Incident: A Gun to the Forehead Koizumi Shinzorō, Japan’s Prime Minister, wanted confrontation, and China responded with precision. On December 6, Japan’s Defense Minister publicly admitted that J-15s launched from the Liaoning carrier had twice locked Japan’s F-15Js with fire-control radar over the high seas southeast of Okinawa. He called it “dangerous” and expressed “deep regret.” He is right to feel danger. This was no accident, no miscalculation. This was the PLA presenting a complete offensive posture, signaling that the region is one fingertip away from war — and China is fully prepared to exercise their rights under UN Charter Article 107. Most people have no idea how deadly serious “fire-control illumination” is. Japan’s F-15J pilot certainly knew: his cockpit must have exploded into warning alarms; Imagine that shrill beeping screaming through the cockpit for half an hour - enough to drive any normal person mad; his breathing must have turned shallow; his hands probably shook as he tried to maneuver away from the lock. However, even under that level of crushing psychological pressure, the Japanese pilot chose to stay inside the zone rather than fleeing. This is kamicaze level provocation. Because the moment fire-control goes live, the radar narrows into a focused beam, feeding exact parameters to the missile under the jet’s wing. In peacetime exercises, a sustained lock counts as a confirmed kill. In real combat, nobody activates it unless they are ready to shoot. And China kept that beam on the F-15J for over half an hour. First lock: 16:32–16:35, three full minutes. Second lock: 18:37–19:08, more than thirty minutes. There is no suspense about how this confrontation would end in a real war. It would be a guaranteed kill. The Cat and the Mouse To be precise, the J-15 wasn’t merely locking and unlocking. It was playing — the way a cat toys with a mouse trapped under its paw. Japan’s F-15J was that mouse.

America-China Watcher

21,361 次观看 • 8 个月前

It's 2030 and you are reviewing humanoid robots. A Tesla. A Google. An Apple. An OpenAI. A Meta. A Figure. And a bunch of Chinese-made ones. Which one is best, and why? I think the Tesla understands the world much better. Why? There were eight Teslas around me on the freeway today. Start there. No other robot company has that data. But my robot is parked at the local high school twice a day. Its cameras see humans in all of our weirdness. How we move. Where we go. Where we walk. Who we talk with. What you are wearing. Whether your hair was combed this morning. That data will lead to robotics breakthroughs. Apple might keep up with its Vision Pro data, but it is too freaked out by the privacy implications of using said data. (On the front are six cameras and a couple of TOF -- Time Of Flight -- sensors that can see everything in your home in great detail). Google has a lot of data, for sure. All my: 1. Email. 2. Calendars. 3. Photos. 4. TV watching behavior. 5. Contacts. 6. Documents and spreadsheets. 7. Files. 8. Location data. So I expect Google's robot will be attractive to many. But how do you see the others shake out over the next five years? Make some guesses. But remember what an AI pioneer told me years ago about AI: it's all about the data. The Chinese ones have huge advantages: the Chinese have more data on their citizens, and many more citizens to boot AND they can make robots cheaper than we can. But now that you know OpenAI is building its own robot you have caught wind of what I've heard from many in San Francisco and Silicon Valley: that humanoid robots are the real prize of AI and will be highly profitable for those that can make them and find customers willing to buy them. Here, too, I learned long ago never to bet against Elon Musk. Will you?
0:16

It's 2030 and you are reviewing humanoid robots. A Tesla. A Google. An Apple. An OpenAI. A Meta. A Figure. And a bunch of Chinese-made ones. Which one is best, and why? I think the Tesla understands the world much better. Why? There were eight Teslas around me on the freeway today. Start there. No other robot company has that data. But my robot is parked at the local high school twice a day. Its cameras see humans in all of our weirdness. How we move. Where we go. Where we walk. Who we talk with. What you are wearing. Whether your hair was combed this morning. That data will lead to robotics breakthroughs. Apple might keep up with its Vision Pro data, but it is too freaked out by the privacy implications of using said data. (On the front are six cameras and a couple of TOF -- Time Of Flight -- sensors that can see everything in your home in great detail). Google has a lot of data, for sure. All my: 1. Email. 2. Calendars. 3. Photos. 4. TV watching behavior. 5. Contacts. 6. Documents and spreadsheets. 7. Files. 8. Location data. So I expect Google's robot will be attractive to many. But how do you see the others shake out over the next five years? Make some guesses. But remember what an AI pioneer told me years ago about AI: it's all about the data. The Chinese ones have huge advantages: the Chinese have more data on their citizens, and many more citizens to boot AND they can make robots cheaper than we can. But now that you know OpenAI is building its own robot you have caught wind of what I've heard from many in San Francisco and Silicon Valley: that humanoid robots are the real prize of AI and will be highly profitable for those that can make them and find customers willing to buy them. Here, too, I learned long ago never to bet against Elon Musk. Will you?

Robert Scoble

33,804 次观看 • 1 年前

A viral paper "Language Model Represents Space and Time" recently claims that LLMs learn "world models". As much as I like Max Tegmark's works, I disagree with their definition of world model. World model is a core concept in AI agent and decision making. It is our mental simulation of how the world works given interventions (or lack thereof). A world model captures causality and intuitive physics, telling the agent what is likely and what is impossible. It can and should be used for counterfactual reasoning, i.e. "what ifs": what would happen if I knock over a cup of water? Where would I have been if I had not taken that bus? Yann LeCun Yann LeCun says it well in his position paper ( I quote: "Using such world models, animals can learn new skills with very few trials. They can predict the consequences of their actions, they can reason, plan, explore, and imagine new solutions to problems. Importantly, they can also avoid making dangerous mistakes when facing an unknown situation." The first use of the term World Model in deep policy learning is attributed to hardmaru & Jürgen Schmidhuber: In their seminal paper, an agent masters shooting skills in the popular game Doom (demo below) by learning in imagination, using an internal world model as a "physics simulator". To put in a simple Python math formula, world model learns a function F(s[0:t-1], a) -> s[t:], which takes as input the observed past and current action, and outputs plausible future states. Now the definition of World Model in Tegmark's paper seems to be about predicting GPS coordinates and time eras. I see this as just a classification task with no causal learning and simulation going on. You cannot make meaningful interventions against that model, nor can you optimize any decision making in a closed feedback loop. As for the "space & time neurons", I think they are most similar to the "sentiment neuron" that OpenAI published in 2017: Predicting GPS is conceptually no different from predicting sentiment in my opinion. I don't think their experimental results are wrong - just that their conclusion is on shaky grounds. I welcome any debate! Paper link:
0:15

A viral paper "Language Model Represents Space and Time" recently claims that LLMs learn "world models". As much as I like Max Tegmark's works, I disagree with their definition of world model. World model is a core concept in AI agent and decision making. It is our mental simulation of how the world works given interventions (or lack thereof). A world model captures causality and intuitive physics, telling the agent what is likely and what is impossible. It can and should be used for counterfactual reasoning, i.e. "what ifs": what would happen if I knock over a cup of water? Where would I have been if I had not taken that bus? Yann LeCun Yann LeCun says it well in his position paper ( I quote: "Using such world models, animals can learn new skills with very few trials. They can predict the consequences of their actions, they can reason, plan, explore, and imagine new solutions to problems. Importantly, they can also avoid making dangerous mistakes when facing an unknown situation." The first use of the term World Model in deep policy learning is attributed to hardmaru & Jürgen Schmidhuber: In their seminal paper, an agent masters shooting skills in the popular game Doom (demo below) by learning in imagination, using an internal world model as a "physics simulator". To put in a simple Python math formula, world model learns a function F(s[0:t-1], a) -> s[t:], which takes as input the observed past and current action, and outputs plausible future states. Now the definition of World Model in Tegmark's paper seems to be about predicting GPS coordinates and time eras. I see this as just a classification task with no causal learning and simulation going on. You cannot make meaningful interventions against that model, nor can you optimize any decision making in a closed feedback loop. As for the "space & time neurons", I think they are most similar to the "sentiment neuron" that OpenAI published in 2017: Predicting GPS is conceptually no different from predicting sentiment in my opinion. I don't think their experimental results are wrong - just that their conclusion is on shaky grounds. I welcome any debate! Paper link:

Jim Fan

594,014 次观看 • 2 年前

For almost a year, I have been building a simpler and more dependable way for applications to respond to activity on Cardano. Today, I am incredibly proud to release OgmiosDotnet.BlockchainEvents v1.0.0. BlockchainEvents is an open source transaction filtering, pub sub and event delivery layer for Cardano. It connects to Ogmios, evaluates every transaction against completely customisable rules, and emits only the activity an application has chosen to receive as standard CloudEvents. The rule engine can be shaped around almost any requirement. An application or applications can listen for activity involving a particular address, asset, policy, smart contract, governance action, treasury withdrawal, metadata value or DEX transaction. Builders can also create entirely new rules around their own domain logic. A project can operate one BlockchainEvents instance and allow many different applications to subscribe to the specific Cardano events they care about. A wallet could subscribe to address activity. A governance platform could subscribe to proposals and votes. A DEX service could subscribe to swaps involving selected assets or contracts. The blockchain connection, transaction processing and event infrastructure are shared, while each application receives its own relevant stream of events. This can remove considerable duplication across a project, reduce infrastructure costs and give development teams one dependable event layer to build around. Consumers can be as simple as an HTTP endpoint. When a transaction satisfies a rule, BlockchainEvents transforms it into a CloudEvent and automatically posts it to the subscribed application. Events can also be consumed through gRPC and server sent events. This allows applications to use Cardano data exposed through Ogmios without installing an Ogmios SDK, tracking a particular SDK version, maintaining their own WebSocket connection or implementing the chain sync protocol themselves. Delivery is backed by a durable queue. When a consumer becomes unavailable, its events remain waiting. Once the application returns, delivery resumes automatically. Applications can restart, deploy or experience a temporary outage without immediately losing the Cardano activity produced while they were offline. It is also extremely fast. During a full local Docker stress test, the pipeline processed more than 1,100 transactions per second through the rule engine, CloudEvents transformation, pub sub and durable queue, with approximately one millisecond p99 processing latency and zero failed emissions. The entire stack can be deployed through Docker across cloud providers, infrastructure providers and self hosted environments, while the underlying queue and delivery architecture remains abstracted from the applications using it. This project was funded through Catalyst Fund 14 after receiving 197 million ADA in yes votes across 420 votes cast. I am deeply grateful to everybody who voted for the proposal, followed the development, tested the releases, shared feedback or supported both me and this project over the past year. A great deal of work has gone into reaching this point, and I am genuinely excited to see what Cardano builders create with it. Further technical details, reliability results and the Minswap implementation are included below. Repository: Release: The possibilities from here are endless, this brings industry standard event driven architecture right to Cardano.
0:10

For almost a year, I have been building a simpler and more dependable way for applications to respond to activity on Cardano. Today, I am incredibly proud to release OgmiosDotnet.BlockchainEvents v1.0.0. BlockchainEvents is an open source transaction filtering, pub sub and event delivery layer for Cardano. It connects to Ogmios, evaluates every transaction against completely customisable rules, and emits only the activity an application has chosen to receive as standard CloudEvents. The rule engine can be shaped around almost any requirement. An application or applications can listen for activity involving a particular address, asset, policy, smart contract, governance action, treasury withdrawal, metadata value or DEX transaction. Builders can also create entirely new rules around their own domain logic. A project can operate one BlockchainEvents instance and allow many different applications to subscribe to the specific Cardano events they care about. A wallet could subscribe to address activity. A governance platform could subscribe to proposals and votes. A DEX service could subscribe to swaps involving selected assets or contracts. The blockchain connection, transaction processing and event infrastructure are shared, while each application receives its own relevant stream of events. This can remove considerable duplication across a project, reduce infrastructure costs and give development teams one dependable event layer to build around. Consumers can be as simple as an HTTP endpoint. When a transaction satisfies a rule, BlockchainEvents transforms it into a CloudEvent and automatically posts it to the subscribed application. Events can also be consumed through gRPC and server sent events. This allows applications to use Cardano data exposed through Ogmios without installing an Ogmios SDK, tracking a particular SDK version, maintaining their own WebSocket connection or implementing the chain sync protocol themselves. Delivery is backed by a durable queue. When a consumer becomes unavailable, its events remain waiting. Once the application returns, delivery resumes automatically. Applications can restart, deploy or experience a temporary outage without immediately losing the Cardano activity produced while they were offline. It is also extremely fast. During a full local Docker stress test, the pipeline processed more than 1,100 transactions per second through the rule engine, CloudEvents transformation, pub sub and durable queue, with approximately one millisecond p99 processing latency and zero failed emissions. The entire stack can be deployed through Docker across cloud providers, infrastructure providers and self hosted environments, while the underlying queue and delivery architecture remains abstracted from the applications using it. This project was funded through Catalyst Fund 14 after receiving 197 million ADA in yes votes across 420 votes cast. I am deeply grateful to everybody who voted for the proposal, followed the development, tested the releases, shared feedback or supported both me and this project over the past year. A great deal of work has gone into reaching this point, and I am genuinely excited to see what Cardano builders create with it. Further technical details, reliability results and the Minswap implementation are included below. Repository: Release: The possibilities from here are endless, this brings industry standard event driven architecture right to Cardano.

Dave

33,228 次观看 • 11 天前

Why is the market selling off today? (Save this). The semi selloff right now is being driven by a mix of macro fear, profit taking and investors questioning how quickly all of this AI spending will actually pay off, not because demand for AI infrastructure suddenly disappeared. The market is basically trading this chain reaction, the ongoing US Iran escalation pushes oil higher, higher oil keeps inflation elevated, sticky inflation keeps Treasury yields high and that increases the risk of the Fed staying hawkish or even hiking again. That is a terrible setup for semis because many of these companies are valued on the massive earnings investors expect them to generate years from now. When yields rise, those future earnings become worth less today which is why the highest multiple AI and semiconductor names usually get hit first. (I don't think there will be a hike this year). This is also why everything is moving together right now. Nvidia, Micron, Nebius, SanDisk, Broadcom and Applied Optoelectronics are all completely different businesses, but institutions are not separating memory, networking, optics, compute and cloud infrastructure at the moment. They are reducing exposure to the entire AI trade, taking profits in the names that have already run the most and moving into a more defensive position potentially ahead of the Fed. There is also growing pressure around hyperscaler capex. Microsoft, Meta, Amazon and Google are still spending enormous amounts on GPUs, data centers, networking and power but the market is starting to ask when all of that spending will actually turn into revenue and free cash flow. Investors are no longer satisfied with hearing that AI capex is growing. They want proof that the returns are arriving fast enough to justify the valuations already priced into the entire AI ecosystem. That creates a weird situation where hyperscaler capex can continue rising while semiconductor stocks still fall. The market is not asking whether AI spending is growing anymore but rather asking whether it is growing fast enough to beat the expectations already baked into these stocks. Crowded positioning is another major factor. Semis and AI infrastructure stocks have been some of the biggest winners in the market so institutions are sitting on huge profits and many funds own the exact same names. When macro risk increases, investors usually sell the most liquid winners first. That does not mean demand for memory, optics or custom chips suddenly collapsed but rather means investors are locking in gains and reducing risk. Tariffs add another layer because even when they are not directly placed on chips, they can still raise the cost of servers, electrical equipment, cooling systems, construction materials and the overall data center buildout. That makes AI infrastructure more expensive while also adding another source of inflation. Then you have Jensen Huang’s letter to the White House this morning about open weight AI models, which I think is one of the most important long term developments here. Nvidia, Meta, Microsoft, Palantir and several other companies are pushing Washington not to place broad restrictions on open weight AI. OpenAI and Anthropic were notably absent because open models are much more of a threat to their business models. OpenAI and Anthropic benefit from a world where a few closed frontier labs control the best models and companies have to pay them through subscriptions and APIs. Open weight models weaken that advantage because businesses can download a model, customize it for their own use and run it on their own infrastructure or through a neocloud. That is bad for OpenAI and Anthropic because it puts pressure on pricing, margins and the idea that they will control the intelligence layer of the economy but it is very good for the AI ecosystem as a whole over the long run. But the question is what does this mean for all the OpenAI and Anthropic commitments? so that's adding to the fear as well. But with that being said open models make AI cheaper and more accessible. Instead of AI being controlled by a few giant labs, thousands of startups, universities, governments and regular businesses can deploy models themselves. That spreads AI adoption across the entire economy and creates a much larger infrastructure opportunity and that is exactly why Jensen cares. Nvidia does not need OpenAI or Anthropic to win. Nvidia just needs more people using AI. Whether the model comes from OpenAI, Anthropic, Meta, Mistral, Kimi or some startup nobody has heard of yet, it still needs GPUs, memory, networking, data centers and electricity. So open weight AI could actually weaken the model companies while making the infrastructure layer much bigger. More open models mean more companies running inference. More inference means more GPUs. More GPUs mean more HBM, optical transceivers, switches, data centers and power. That is bullish for Nvidia Nebius, Micron, Broadcom , Marvell and Applied Optoelectronics over the long run. So my take is that the current semi selloff is being driven mostly by macro uncertainty, higher oil, rising yields, Fed fears, tariffs, crowded positioning and questions around the return on hyperscaler capex. The underlying AI infrastructure thesis has not suddenly broken. We are not broadly seeing hyperscalers cancel GPU orders, slash capex, abandon data center projects or report that AI demand has collapsed. What has changed is the valuation investors are willing to pay while the macro environment remains unstable. The market is lowering the price it is willing to pay for semiconductor growth but is not necessarily saying that growth is gone. And while Jensen’s open weight push may be bad for OpenAI and Anthropic, it could be one of the best things possible for the AI ecosystem over the long run because it creates more models, more developers, more competition and ultimately much more demand for the infrastructure underneath all of it. Nothing about the AI thesis has changed for me, so I will be going shopping and taking advantage of this sale while the market is selling everything together. I am an analyst at Milk Road Pro, and if you want to see exactly what I am buying, you can join for just $1 using the link below.
0:11

Why is the market selling off today? (Save this). The semi selloff right now is being driven by a mix of macro fear, profit taking and investors questioning how quickly all of this AI spending will actually pay off, not because demand for AI infrastructure suddenly disappeared. The market is basically trading this chain reaction, the ongoing US Iran escalation pushes oil higher, higher oil keeps inflation elevated, sticky inflation keeps Treasury yields high and that increases the risk of the Fed staying hawkish or even hiking again. That is a terrible setup for semis because many of these companies are valued on the massive earnings investors expect them to generate years from now. When yields rise, those future earnings become worth less today which is why the highest multiple AI and semiconductor names usually get hit first. (I don't think there will be a hike this year). This is also why everything is moving together right now. Nvidia, Micron, Nebius, SanDisk, Broadcom and Applied Optoelectronics are all completely different businesses, but institutions are not separating memory, networking, optics, compute and cloud infrastructure at the moment. They are reducing exposure to the entire AI trade, taking profits in the names that have already run the most and moving into a more defensive position potentially ahead of the Fed. There is also growing pressure around hyperscaler capex. Microsoft, Meta, Amazon and Google are still spending enormous amounts on GPUs, data centers, networking and power but the market is starting to ask when all of that spending will actually turn into revenue and free cash flow. Investors are no longer satisfied with hearing that AI capex is growing. They want proof that the returns are arriving fast enough to justify the valuations already priced into the entire AI ecosystem. That creates a weird situation where hyperscaler capex can continue rising while semiconductor stocks still fall. The market is not asking whether AI spending is growing anymore but rather asking whether it is growing fast enough to beat the expectations already baked into these stocks. Crowded positioning is another major factor. Semis and AI infrastructure stocks have been some of the biggest winners in the market so institutions are sitting on huge profits and many funds own the exact same names. When macro risk increases, investors usually sell the most liquid winners first. That does not mean demand for memory, optics or custom chips suddenly collapsed but rather means investors are locking in gains and reducing risk. Tariffs add another layer because even when they are not directly placed on chips, they can still raise the cost of servers, electrical equipment, cooling systems, construction materials and the overall data center buildout. That makes AI infrastructure more expensive while also adding another source of inflation. Then you have Jensen Huang’s letter to the White House this morning about open weight AI models, which I think is one of the most important long term developments here. Nvidia, Meta, Microsoft, Palantir and several other companies are pushing Washington not to place broad restrictions on open weight AI. OpenAI and Anthropic were notably absent because open models are much more of a threat to their business models. OpenAI and Anthropic benefit from a world where a few closed frontier labs control the best models and companies have to pay them through subscriptions and APIs. Open weight models weaken that advantage because businesses can download a model, customize it for their own use and run it on their own infrastructure or through a neocloud. That is bad for OpenAI and Anthropic because it puts pressure on pricing, margins and the idea that they will control the intelligence layer of the economy but it is very good for the AI ecosystem as a whole over the long run. But the question is what does this mean for all the OpenAI and Anthropic commitments? so that's adding to the fear as well. But with that being said open models make AI cheaper and more accessible. Instead of AI being controlled by a few giant labs, thousands of startups, universities, governments and regular businesses can deploy models themselves. That spreads AI adoption across the entire economy and creates a much larger infrastructure opportunity and that is exactly why Jensen cares. Nvidia does not need OpenAI or Anthropic to win. Nvidia just needs more people using AI. Whether the model comes from OpenAI, Anthropic, Meta, Mistral, Kimi or some startup nobody has heard of yet, it still needs GPUs, memory, networking, data centers and electricity. So open weight AI could actually weaken the model companies while making the infrastructure layer much bigger. More open models mean more companies running inference. More inference means more GPUs. More GPUs mean more HBM, optical transceivers, switches, data centers and power. That is bullish for Nvidia Nebius, Micron, Broadcom , Marvell and Applied Optoelectronics over the long run. So my take is that the current semi selloff is being driven mostly by macro uncertainty, higher oil, rising yields, Fed fears, tariffs, crowded positioning and questions around the return on hyperscaler capex. The underlying AI infrastructure thesis has not suddenly broken. We are not broadly seeing hyperscalers cancel GPU orders, slash capex, abandon data center projects or report that AI demand has collapsed. What has changed is the valuation investors are willing to pay while the macro environment remains unstable. The market is lowering the price it is willing to pay for semiconductor growth but is not necessarily saying that growth is gone. And while Jensen’s open weight push may be bad for OpenAI and Anthropic, it could be one of the best things possible for the AI ecosystem over the long run because it creates more models, more developers, more competition and ultimately much more demand for the infrastructure underneath all of it. Nothing about the AI thesis has changed for me, so I will be going shopping and taking advantage of this sale while the market is selling everything together. I am an analyst at Milk Road Pro, and if you want to see exactly what I am buying, you can join for just $1 using the link below.

Melvin

179,939 次观看 • 19 天前

✨ I open sourced my first Chrome extension 🚀 SuperLevels I vibe coded it to replace all my Chrome extensions that are increasingly being bought up by spyware and malware companies who sell your data or worse hack your accounts and steal your stuff/money/data, which I'd call one of the top security risks right now For example: Chrome extensions can read your cookies or localStorage data, including session tokens, then login to your web or email accounts and hack you, they can inject code into any site to pull data form any site you browse, then break into your crypto accounts, drain your wallets, and selling your browsing history to ad companies, but that'd actually be the most favorable thing to happen of all these! Chrome extensions are just very very very unsafe So I coded my own, that I can trust because I made it, and I can read the source code: my extension is called 🚀SuperLevels and has all the features that the Chrome extensions I used to use have but all built into one safe one The cool thing is it's 100% open source and free, and you can audit the code first with AI yourself before installing it, and then if you do install it, customize it to your liking again with AI It has these features that improve my daily workflow while browsing the web: 🚮 Tab Cleaner Automatically closes inactive tabs after a configurable timeout (default: 5 minutes). Set excluded hosts to keep important tabs alive. View and re-open recently closed tabs. 🍪 Cookie Editor Full cookie manager for the current site. View, edit, add, and delete cookies. Export cookies as JSON. Expand any cookie to see and modify all fields including domain, path, SameSite, secure, and httpOnly flags. 🔀 Redirect Tracer See every redirect hop your browser took to reach the current page. Shows status codes (301, 302, 307, etc.) with a visual chain. Copy the full redirect chain to clipboard. 🌙 Dark Mode Instant dark mode for any website using CSS filter inversion. Adjustable brightness. Toggle per-site or globally. Images and videos are automatically re-inverted so they look normal. 𝕏 X Dim Mode Custom dim theme for X/Twitter with 7 color palettes: Dim, Slate, Jade, Plum, Dusk, Ember, or a custom hue. Live preview in the popup. ⚡ JS Toggle Disable JavaScript per-site with one click. Useful for debugging, reading articles without popups, or testing progressive enhancement. Page reloads automatically. 🚫 GDPR Cookie Consent Dismisser Auto-hides and auto-clicks cookie consent banners. Supports OneTrust, CookieBot, Didomi, Quantcast, GDPR plugins, and dozens more frameworks. Toggle off if a site breaks. 🎨 Live CSS Editor Write custom CSS for any website, applied in real-time as you type. Saved per-domain. Supports tab key for indentation. 📺 YouTube Unhook Removes YouTube distractions: no homepage feed, no sidebar suggestions, no end screen overlays, no Shorts. Search still works — just no algorithmic recommendations. 🎵 Music Recognizer Shazam-like music identification for any tab. Captures 10 seconds of audio and identifies the song via ACRCloud (free signup, bring your own API key). Results link to YouTube. History of recognized songs. 🖼 Picture-in-Picture Pop the largest video on the current tab into a floating PiP window with one click. 🗺 Google Maps Links Re-adds clickable Maps links and map preview cards to Google Search results. 🖼 View Image Adds a "View Image" button back to Google Images, linking directly to the full-size original image. {} JSON Formatter Auto-detects pure JSON response pages and formats them with syntax highlighting, collapsible sections, and a dark theme. Copy or view raw with one click. Never triggers on regular HTML pages.
0:17

✨ I open sourced my first Chrome extension 🚀 SuperLevels I vibe coded it to replace all my Chrome extensions that are increasingly being bought up by spyware and malware companies who sell your data or worse hack your accounts and steal your stuff/money/data, which I'd call one of the top security risks right now For example: Chrome extensions can read your cookies or localStorage data, including session tokens, then login to your web or email accounts and hack you, they can inject code into any site to pull data form any site you browse, then break into your crypto accounts, drain your wallets, and selling your browsing history to ad companies, but that'd actually be the most favorable thing to happen of all these! Chrome extensions are just very very very unsafe So I coded my own, that I can trust because I made it, and I can read the source code: my extension is called 🚀SuperLevels and has all the features that the Chrome extensions I used to use have but all built into one safe one The cool thing is it's 100% open source and free, and you can audit the code first with AI yourself before installing it, and then if you do install it, customize it to your liking again with AI It has these features that improve my daily workflow while browsing the web: 🚮 Tab Cleaner Automatically closes inactive tabs after a configurable timeout (default: 5 minutes). Set excluded hosts to keep important tabs alive. View and re-open recently closed tabs. 🍪 Cookie Editor Full cookie manager for the current site. View, edit, add, and delete cookies. Export cookies as JSON. Expand any cookie to see and modify all fields including domain, path, SameSite, secure, and httpOnly flags. 🔀 Redirect Tracer See every redirect hop your browser took to reach the current page. Shows status codes (301, 302, 307, etc.) with a visual chain. Copy the full redirect chain to clipboard. 🌙 Dark Mode Instant dark mode for any website using CSS filter inversion. Adjustable brightness. Toggle per-site or globally. Images and videos are automatically re-inverted so they look normal. 𝕏 X Dim Mode Custom dim theme for X/Twitter with 7 color palettes: Dim, Slate, Jade, Plum, Dusk, Ember, or a custom hue. Live preview in the popup. ⚡ JS Toggle Disable JavaScript per-site with one click. Useful for debugging, reading articles without popups, or testing progressive enhancement. Page reloads automatically. 🚫 GDPR Cookie Consent Dismisser Auto-hides and auto-clicks cookie consent banners. Supports OneTrust, CookieBot, Didomi, Quantcast, GDPR plugins, and dozens more frameworks. Toggle off if a site breaks. 🎨 Live CSS Editor Write custom CSS for any website, applied in real-time as you type. Saved per-domain. Supports tab key for indentation. 📺 YouTube Unhook Removes YouTube distractions: no homepage feed, no sidebar suggestions, no end screen overlays, no Shorts. Search still works — just no algorithmic recommendations. 🎵 Music Recognizer Shazam-like music identification for any tab. Captures 10 seconds of audio and identifies the song via ACRCloud (free signup, bring your own API key). Results link to YouTube. History of recognized songs. 🖼 Picture-in-Picture Pop the largest video on the current tab into a floating PiP window with one click. 🗺 Google Maps Links Re-adds clickable Maps links and map preview cards to Google Search results. 🖼 View Image Adds a "View Image" button back to Google Images, linking directly to the full-size original image. {} JSON Formatter Auto-detects pure JSON response pages and formats them with syntax highlighting, collapsible sections, and a dark theme. Copy or view raw with one click. Never triggers on regular HTML pages.

@levelsio

257,744 次观看 • 3 个月前

Introducing Pods Hyperspace Pods lets a small group of people - a family, a startup, a few friends, to pool their laptops and desktops into one AI cluster. Everyone installs the CLI, someone creates a pod, shares an invite link, and the machines form a mesh. Models like Qwen 3.5 32B or GLM-5 Turbo that need more memory than any single laptop has get automatically sharded across the group's devices - layers split proportionally, inference pipelined through the ring. From the outside it looks like one OpenAI-compatible API endpoint with a pk_* key that drops straight into your AI tools and products. No configuration beyond pasting the key and changing the base URL. A team of five paying for cloud AI burns $500–2,000 a month on API calls. The same team's existing machines can serve Qwen 3.5 (competitive on SWE-bench) and GLM-5 Turbo (#1 on BrowseComp for tool-calling and web research) for free - the hardware is already on their desks. When a query genuinely needs a frontier model nobody has locally, the pod falls back to cloud at wholesale rates from a shared treasury. But for the daily work - code reviews, refactors, research, drafting - local models handle it and nobody gets billed. And when it is idle, you can rent out your pod on the compute marketplace, with fine-grained permissions for access management. There's no central server involved in inference. Prompts go from your machine to your pod members' machines and back: all of this enabled by the fully peer-to-peer Hyperspace network. Pod state - who's a member, which API keys are valid, how much treasury is left - is replicated across members with consensus, so the whole thing works on a local network. Members behind home routers don't need port forwarding either. The practical setup for most pods is three models covering different jobs: Qwen 3.5 32B for code and reasoning, GLM-5 Turbo for browsing and research, Gemma 4 for fast lightweight tasks. All running on hardware you already own. Pods ship today in Hyperspace v5.19. Model sharding, API keys, treasury, and Raft coordinator are all live. What Makes This Different - No middleman. Your prompts travel from your IDE to your pod members' hardware and back. There is no server in between reading your data. - No vendor lock-in. Pod membership, API keys, and treasury are replicated across your own machines using Raft consensus. If the internet goes down, your local network keeps working. There is no database in someone else's cloud that your pod depends on. - Automatic sharding. You don't configure layer ranges or calculate VRAM budgets. Tell the pod which model you want. It figures out how to split it across whatever hardware is online. - Real NAT traversal. Your friend behind a home router with a dynamic IP? Works. No VPN, no Tailscale, no port forwarding. The nodes handle it. - Free when local. This is the part that matters most. Cloud AI bills scale with usage. Pod inference on local hardware scales with nothing. The marginal cost of your 10,000th prompt is the electricity your laptop was already using. Coming soon: - Pod federation: pods form alliances with other pods. - Marketplace: pods with spare capacity can sell inference to other pods.
0:19

Introducing Pods Hyperspace Pods lets a small group of people - a family, a startup, a few friends, to pool their laptops and desktops into one AI cluster. Everyone installs the CLI, someone creates a pod, shares an invite link, and the machines form a mesh. Models like Qwen 3.5 32B or GLM-5 Turbo that need more memory than any single laptop has get automatically sharded across the group's devices - layers split proportionally, inference pipelined through the ring. From the outside it looks like one OpenAI-compatible API endpoint with a pk_* key that drops straight into your AI tools and products. No configuration beyond pasting the key and changing the base URL. A team of five paying for cloud AI burns $500–2,000 a month on API calls. The same team's existing machines can serve Qwen 3.5 (competitive on SWE-bench) and GLM-5 Turbo (#1 on BrowseComp for tool-calling and web research) for free - the hardware is already on their desks. When a query genuinely needs a frontier model nobody has locally, the pod falls back to cloud at wholesale rates from a shared treasury. But for the daily work - code reviews, refactors, research, drafting - local models handle it and nobody gets billed. And when it is idle, you can rent out your pod on the compute marketplace, with fine-grained permissions for access management. There's no central server involved in inference. Prompts go from your machine to your pod members' machines and back: all of this enabled by the fully peer-to-peer Hyperspace network. Pod state - who's a member, which API keys are valid, how much treasury is left - is replicated across members with consensus, so the whole thing works on a local network. Members behind home routers don't need port forwarding either. The practical setup for most pods is three models covering different jobs: Qwen 3.5 32B for code and reasoning, GLM-5 Turbo for browsing and research, Gemma 4 for fast lightweight tasks. All running on hardware you already own. Pods ship today in Hyperspace v5.19. Model sharding, API keys, treasury, and Raft coordinator are all live. What Makes This Different - No middleman. Your prompts travel from your IDE to your pod members' hardware and back. There is no server in between reading your data. - No vendor lock-in. Pod membership, API keys, and treasury are replicated across your own machines using Raft consensus. If the internet goes down, your local network keeps working. There is no database in someone else's cloud that your pod depends on. - Automatic sharding. You don't configure layer ranges or calculate VRAM budgets. Tell the pod which model you want. It figures out how to split it across whatever hardware is online. - Real NAT traversal. Your friend behind a home router with a dynamic IP? Works. No VPN, no Tailscale, no port forwarding. The nodes handle it. - Free when local. This is the part that matters most. Cloud AI bills scale with usage. Pod inference on local hardware scales with nothing. The marginal cost of your 10,000th prompt is the electricity your laptop was already using. Coming soon: - Pod federation: pods form alliances with other pods. - Marketplace: pods with spare capacity can sell inference to other pods.

Varun

308,956 次观看 • 3 个月前

Why is Congresswoman Pramila Jayapal — chair of the Democratic Party's Progressive Caucus — peddling a false narrative about Cuban healthcare being better than the U.S.? From my research on my book PHARMA, I know what she says is WRONG. But she keeps repeating it and I am sure many progressives believe it. No legacy journalist is calling her out so let me do the job. Most recently, she stood at a Capitol Hill press conference on July 1 — flanked by Reps. Delia Ramírez, Jonathan Jackson, and Ro Khanna, under a banner reading "Demanding an End to the Blockade Against Cuba and International Medical Solidarity" — and told the crowd that Cuba, despite all its difficulties, had done admirable work preventing “maternal mortality, neonatal mortality, and cancer,”in her words, "areas in which we in the United States are still struggling to make progress." It wasn't an ad-lib. It was a return engagement. In an April interview after her own delegation trip to Havana, Jayapal said Cuba has "the lowest infant mortality, maternal mortality — sort of the opposite of what the United States has." When the reporter mentioned Cuba's higher life expectancy, she agreed with that too. The Washington Post's editorial board flagged it then as a flawed diagnosis. She said it again in front of National Nurses United two months later. So it's worth actually running the numbers, one at a time. Maternal mortality. The U.S. rate was 18.6 deaths per 100,000 live births in 2023, and it fell further to 17.9 in 2024. Cuba's own Ministry of Public Health reported its maternal mortality rate at 40.6 per 100,000 in 2024 and rising to 44.1 in 2025 — better than two-and-a-half times the American rate, and climbing. There is no version of the current data where Cuba is "the opposite" of the U.S. on this metric. It's far worse. Neonatal/infant mortality. Cuba's official infant mortality rate did fall to a low of 4.0 per 1,000 live births in 2018 — a genuinely low number, and one Cuba has kept touting. But two things complicate that figure. First, a peer-reviewed study in Health Policy and Planning found evidence that Cuban physicians have been pressured to reclassify early neonatal deaths as late fetal deaths (effectively, miscarriages) to hit government mortality targets — a known method of statistical manipulation, flagged by demographers going back to the 1990s. Corrected for that, researchers put Cuba's real infant mortality rate somewhere between 7.45 and 11.16 per 1,000, not the sub-5 figure the government published. Second, and more damning for Jayapal's live claim: Cuba's own current numbers show infant mortality at 9.9 per 1,000 as of the end of 2025 — up 148% from that 2018 low, and now well above the U.S. rate. Havana's maternity wards are reporting sewage leaks in neonatal units and adolescent pregnancy rates spiking past 20% in some provinces. Whatever Cuba was doing right in 2018, it isn't doing now, and the 2018 number itself was likely inflated by data manipulation to begin with. Cancer. This is the claim with the least data behind it and the most against it. The most recent regional analysis of Latin America and the Caribbean, using 2022 GLOBOCAN figures, found Cuba has the highest age-standardized cancer mortality rate in the entire region — 136.6 per 100,000 for men, 91.6 per 100,000 for women — ahead of Mexico, Argentina, Brazil, Chile, and Colombia. There is no dataset I could find, from PAHO, WHO, or IARC, showing Cuban cancer outcomes outperforming the United States. Cuba's president, Díaz-Canel, touring a Havana maternity hospital the same week Jayapal spoke, said the healthcare system currently can't get lifesaving treatment to more than 100,000 cancer patients, including 1,200 children, due to shortages. That's not a system beating American oncology. That's a system in collapse, by the Cuban government's own telling. The bigger problem with the claim. During my reporting for PHARMA I learned that Cuba's low mortality figures have functioned as propaganda for an authoritarian government for over 30 years — repeated uncritically by public health researchers, NGOs, and now members of Congress, because the story fits a preferred narrative about what a "resource-poor" country can accomplish with universal healthcare. But the country producing those numbers has no free press, no independent statistical audit, and a documented history of reclassifying deaths to hit targets. That's not a minor asterisk. It's the whole ballgame if you're going to hold a press conference built on the premise that Cuba is quietly outperforming America. Does Pramila Jayapal know she is selling a disproven story or does she not care so long as it fits her narrative that a communist universal healthcare system is better than the one in America?
0:10

Why is Congresswoman Pramila Jayapal — chair of the Democratic Party's Progressive Caucus — peddling a false narrative about Cuban healthcare being better than the U.S.? From my research on my book PHARMA, I know what she says is WRONG. But she keeps repeating it and I am sure many progressives believe it. No legacy journalist is calling her out so let me do the job. Most recently, she stood at a Capitol Hill press conference on July 1 — flanked by Reps. Delia Ramírez, Jonathan Jackson, and Ro Khanna, under a banner reading "Demanding an End to the Blockade Against Cuba and International Medical Solidarity" — and told the crowd that Cuba, despite all its difficulties, had done admirable work preventing “maternal mortality, neonatal mortality, and cancer,”in her words, "areas in which we in the United States are still struggling to make progress." It wasn't an ad-lib. It was a return engagement. In an April interview after her own delegation trip to Havana, Jayapal said Cuba has "the lowest infant mortality, maternal mortality — sort of the opposite of what the United States has." When the reporter mentioned Cuba's higher life expectancy, she agreed with that too. The Washington Post's editorial board flagged it then as a flawed diagnosis. She said it again in front of National Nurses United two months later. So it's worth actually running the numbers, one at a time. Maternal mortality. The U.S. rate was 18.6 deaths per 100,000 live births in 2023, and it fell further to 17.9 in 2024. Cuba's own Ministry of Public Health reported its maternal mortality rate at 40.6 per 100,000 in 2024 and rising to 44.1 in 2025 — better than two-and-a-half times the American rate, and climbing. There is no version of the current data where Cuba is "the opposite" of the U.S. on this metric. It's far worse. Neonatal/infant mortality. Cuba's official infant mortality rate did fall to a low of 4.0 per 1,000 live births in 2018 — a genuinely low number, and one Cuba has kept touting. But two things complicate that figure. First, a peer-reviewed study in Health Policy and Planning found evidence that Cuban physicians have been pressured to reclassify early neonatal deaths as late fetal deaths (effectively, miscarriages) to hit government mortality targets — a known method of statistical manipulation, flagged by demographers going back to the 1990s. Corrected for that, researchers put Cuba's real infant mortality rate somewhere between 7.45 and 11.16 per 1,000, not the sub-5 figure the government published. Second, and more damning for Jayapal's live claim: Cuba's own current numbers show infant mortality at 9.9 per 1,000 as of the end of 2025 — up 148% from that 2018 low, and now well above the U.S. rate. Havana's maternity wards are reporting sewage leaks in neonatal units and adolescent pregnancy rates spiking past 20% in some provinces. Whatever Cuba was doing right in 2018, it isn't doing now, and the 2018 number itself was likely inflated by data manipulation to begin with. Cancer. This is the claim with the least data behind it and the most against it. The most recent regional analysis of Latin America and the Caribbean, using 2022 GLOBOCAN figures, found Cuba has the highest age-standardized cancer mortality rate in the entire region — 136.6 per 100,000 for men, 91.6 per 100,000 for women — ahead of Mexico, Argentina, Brazil, Chile, and Colombia. There is no dataset I could find, from PAHO, WHO, or IARC, showing Cuban cancer outcomes outperforming the United States. Cuba's president, Díaz-Canel, touring a Havana maternity hospital the same week Jayapal spoke, said the healthcare system currently can't get lifesaving treatment to more than 100,000 cancer patients, including 1,200 children, due to shortages. That's not a system beating American oncology. That's a system in collapse, by the Cuban government's own telling. The bigger problem with the claim. During my reporting for PHARMA I learned that Cuba's low mortality figures have functioned as propaganda for an authoritarian government for over 30 years — repeated uncritically by public health researchers, NGOs, and now members of Congress, because the story fits a preferred narrative about what a "resource-poor" country can accomplish with universal healthcare. But the country producing those numbers has no free press, no independent statistical audit, and a documented history of reclassifying deaths to hit targets. That's not a minor asterisk. It's the whole ballgame if you're going to hold a press conference built on the premise that Cuba is quietly outperforming America. Does Pramila Jayapal know she is selling a disproven story or does she not care so long as it fits her narrative that a communist universal healthcare system is better than the one in America?

Gerald Posner

29,105 次观看 • 1 个月前

This Chinese developer launched Llama 70B locally on a MacBook on a plane and for a full 11 hours without internet ran client projects. He was sitting by the window on a transatlantic flight with a MacBook Pro M4 with 64 GB of memory. WiFi on board cost $25 for the flight. He declined. No cloud API, no connection to Anthropic or OpenAI servers, no internet at all. Just a local Llama 3.3 70B on bf16 and his own orchestrator script. The model runs through llama.cpp. Generation speed, 71 tokens per second. Context around 60,000 tokens. Memory usage, 48.6 GiB out of 64. Battery at takeoff, 3 hours 21 minutes. And he gave the orchestrator this system prompt before takeoff: "You are an offline orchestrator running on a single MacBook. There is no network. The only resources you have are local files in /Users/dev/work, the Llama 70B inference server at localhost:8080, and a battery budget of 3 hours 21 minutes. Process the queue at /Users/dev/work/queue.jsonl (one client task per line). For each task: draft → run local evals → save artefact to /Users/dev/work/done/. Save context checkpoints every 12 tasks so you can resume after a battery swap. Stop only on empty queue or when battery drops below 5%." So the system knows exactly what resources it is running on. It knows it has no connection to the outside world for the next 11 hours. It knows it has finite memory and a finite battery. It knows the human will not intervene until the plane lands. The system runs in 1 loop. Takes a task from the queue, runs it through inference, saves the artifact, writes a checkpoint. Task after task, just like that. And only when the battery drops below 5% does the orchestrator automatically pause, waits for the laptop to switch to the backup power bank, and continues from the last checkpoint. Here is what the system actually writes in his log during the flight: "saved context checkpoint 8 of 12 (pos_min = 488, pos_max = 50118, size = 62.813 MiB)" "restored context checkpoint (pos_min = 488, pos_max = 50118)" "prompt processing progress: n_tokens = 50 / 60 818" "task 37016 done | tps = 71 s tokens text → /Users/dev/work/done/proposal_westside.md" Outside the window, clouds, blue sky, and no WiFi. On the tray, 1 MacBook, an open terminal on 2 screens, and an inference server on localhost. From what I have observed, this is the cleanest offline AI workflow I have seen in the past year: 11 hours of flight, $0 for WiFi, and the entire client queue closed before landing.
0:10

This Chinese developer launched Llama 70B locally on a MacBook on a plane and for a full 11 hours without internet ran client projects. He was sitting by the window on a transatlantic flight with a MacBook Pro M4 with 64 GB of memory. WiFi on board cost $25 for the flight. He declined. No cloud API, no connection to Anthropic or OpenAI servers, no internet at all. Just a local Llama 3.3 70B on bf16 and his own orchestrator script. The model runs through llama.cpp. Generation speed, 71 tokens per second. Context around 60,000 tokens. Memory usage, 48.6 GiB out of 64. Battery at takeoff, 3 hours 21 minutes. And he gave the orchestrator this system prompt before takeoff: "You are an offline orchestrator running on a single MacBook. There is no network. The only resources you have are local files in /Users/dev/work, the Llama 70B inference server at localhost:8080, and a battery budget of 3 hours 21 minutes. Process the queue at /Users/dev/work/queue.jsonl (one client task per line). For each task: draft → run local evals → save artefact to /Users/dev/work/done/. Save context checkpoints every 12 tasks so you can resume after a battery swap. Stop only on empty queue or when battery drops below 5%." So the system knows exactly what resources it is running on. It knows it has no connection to the outside world for the next 11 hours. It knows it has finite memory and a finite battery. It knows the human will not intervene until the plane lands. The system runs in 1 loop. Takes a task from the queue, runs it through inference, saves the artifact, writes a checkpoint. Task after task, just like that. And only when the battery drops below 5% does the orchestrator automatically pause, waits for the laptop to switch to the backup power bank, and continues from the last checkpoint. Here is what the system actually writes in his log during the flight: "saved context checkpoint 8 of 12 (pos_min = 488, pos_max = 50118, size = 62.813 MiB)" "restored context checkpoint (pos_min = 488, pos_max = 50118)" "prompt processing progress: n_tokens = 50 / 60 818" "task 37016 done | tps = 71 s tokens text → /Users/dev/work/done/proposal_westside.md" Outside the window, clouds, blue sky, and no WiFi. On the tray, 1 MacBook, an open terminal on 2 screens, and an inference server on localhost. From what I have observed, this is the cleanest offline AI workflow I have seen in the past year: 11 hours of flight, $0 for WiFi, and the entire client queue closed before landing.

Blaze

1,841,051 次观看 • 3 个月前

This app has completely transformed over the last three years and it is amazing to see how far it has come. - Launched X Chat and encrypted DMs - Launched Video/Audio calling - Launched Ad revenue share program for the creators - Reached a new alltime high of userseconds - Launched Community Notes - Community Notes passed 1M contributers mark - Launched the AI driven algo - Paid millions to the creators - Integerated Grok within the app - Rebranded as 𝕏 - Open sourced the recommendation algorithm. - Over 500 million posts everyday - Over 100 billion impressions daily - 650+ million users - 400000+ communities - #1 News App in 155+ countries - 2 billion+ app downloads - People are spending more time on X - 6th most visited website - Launched X Pro - Announced X Payments - Reduced child sexual abuse material by around 95 since the acquisition - Released subscriptions for creators - Removed legacy checkmarks - Prioritized the verified accounts to fight spam bots - All time low hate speech levels - Released new features in the shortest time period in Xs history - Exposed truth via Twitter files - Removed censorship - Restored free speech - Launched long form posts / Articles. - Improved the live streaming quality - Started paying the creators twice in a month - Added live chat to live streams - Enhanced the Community Notes algorithm - Added an ability to post timestamps while uploading videos - Added an edit post feature - Added view counts on posts publicly - Enhanced the support for Premium users - Added similar posts button - Added new app icons for premium users - Launched different tiers for Premium - Launched Verified Organizations - Added bookmark button on home timeline for posts - Over Ninety percent of the top 100 advertisers have returned to X - Video views are up as compared to previous years - All time high platform usage - Added more privacy options for calling - Introduced recruitment jobs feature for verified organizations - Expanded the community notes in more countries worldwide - Improved ad experience - Increased group chat size to 200 people - Lowered the eligibility threshold for ads revenue sharing from 15M to 5M - Rolled out vertical video ads for brands - Improved communities experience - Announced the removal of tweepcred system - Added live streams on the top bar of the feed - Improved live streaming tested game streaming - Launched the immersive video player - Made the process of reporting a post easier - Improved the UI - Announced the ability of group calling - Announced the removal of block feature except for DMs - Major upgrades to videos and media - Secured money transmission license in multiple states for payments - Introduced video downloads for verified users - Added an ability to limit replies to verified users only - Launched expanded bios - Made communities accessible in more countries - Added ID verification - Added an ability to hide likes - Added a tab for verified followers on user profiles - Added an ability to accept dms from verified users only to prevent spam - Introduced dm support for the ad customers - Announced that X will fund legal representation for users fired from their jobs for their posts - Included posts from communities in for you feed - Renamed notes feature to articles that will have no character limits - Added highlights tab to the profiles - Improved account analytics - Added an ability for community admins to spotlight their community in the profile - Introduced voice dms - Deleted millions of bot accounts - Introduced an ability to upload long videos - Improved advertisement brand safety - Introduced formatting for long form posts - Extended the community notes availability to more countries - Introduced individual reply to dms custom emoji reactions - Launched faster playback mini player for videos - Added an ability to allow dms from subs only - Continued UX/Ui improvements - Added air play button for videos on iOS - Added an ability to fast forwardrewind videos on - Became the most downloaded news app in multiple countries - Improved ad relevance - Removed child po*n - Introduced rate limits to prevent data scraping - Added fast forward backward feature to videos - Launched subscriber only replies - Launched spaces on web - Added an ability to hide the blue checkmark - Reduced scam accounts - Improved engagements for advertisers - Reinstated a multitude of suspended accounts - Introduced Multiple organization affiliate badges - Improved post analytics - Community notes debunking propaganda misstatements - Introduced verified badges for organizations - Launched X TV and many more features.
0:10

This app has completely transformed over the last three years and it is amazing to see how far it has come. - Launched X Chat and encrypted DMs - Launched Video/Audio calling - Launched Ad revenue share program for the creators - Reached a new alltime high of userseconds - Launched Community Notes - Community Notes passed 1M contributers mark - Launched the AI driven algo - Paid millions to the creators - Integerated Grok within the app - Rebranded as 𝕏 - Open sourced the recommendation algorithm. - Over 500 million posts everyday - Over 100 billion impressions daily - 650+ million users - 400000+ communities - #1 News App in 155+ countries - 2 billion+ app downloads - People are spending more time on X - 6th most visited website - Launched X Pro - Announced X Payments - Reduced child sexual abuse material by around 95 since the acquisition - Released subscriptions for creators - Removed legacy checkmarks - Prioritized the verified accounts to fight spam bots - All time low hate speech levels - Released new features in the shortest time period in Xs history - Exposed truth via Twitter files - Removed censorship - Restored free speech - Launched long form posts / Articles. - Improved the live streaming quality - Started paying the creators twice in a month - Added live chat to live streams - Enhanced the Community Notes algorithm - Added an ability to post timestamps while uploading videos - Added an edit post feature - Added view counts on posts publicly - Enhanced the support for Premium users - Added similar posts button - Added new app icons for premium users - Launched different tiers for Premium - Launched Verified Organizations - Added bookmark button on home timeline for posts - Over Ninety percent of the top 100 advertisers have returned to X - Video views are up as compared to previous years - All time high platform usage - Added more privacy options for calling - Introduced recruitment jobs feature for verified organizations - Expanded the community notes in more countries worldwide - Improved ad experience - Increased group chat size to 200 people - Lowered the eligibility threshold for ads revenue sharing from 15M to 5M - Rolled out vertical video ads for brands - Improved communities experience - Announced the removal of tweepcred system - Added live streams on the top bar of the feed - Improved live streaming tested game streaming - Launched the immersive video player - Made the process of reporting a post easier - Improved the UI - Announced the ability of group calling - Announced the removal of block feature except for DMs - Major upgrades to videos and media - Secured money transmission license in multiple states for payments - Introduced video downloads for verified users - Added an ability to limit replies to verified users only - Launched expanded bios - Made communities accessible in more countries - Added ID verification - Added an ability to hide likes - Added a tab for verified followers on user profiles - Added an ability to accept dms from verified users only to prevent spam - Introduced dm support for the ad customers - Announced that X will fund legal representation for users fired from their jobs for their posts - Included posts from communities in for you feed - Renamed notes feature to articles that will have no character limits - Added highlights tab to the profiles - Improved account analytics - Added an ability for community admins to spotlight their community in the profile - Introduced voice dms - Deleted millions of bot accounts - Introduced an ability to upload long videos - Improved advertisement brand safety - Introduced formatting for long form posts - Extended the community notes availability to more countries - Introduced individual reply to dms custom emoji reactions - Launched faster playback mini player for videos - Added an ability to allow dms from subs only - Continued UX/Ui improvements - Added air play button for videos on iOS - Added an ability to fast forwardrewind videos on - Became the most downloaded news app in multiple countries - Improved ad relevance - Removed child po*n - Introduced rate limits to prevent data scraping - Added fast forward backward feature to videos - Launched subscriber only replies - Launched spaces on web - Added an ability to hide the blue checkmark - Reduced scam accounts - Improved engagements for advertisers - Reinstated a multitude of suspended accounts - Introduced Multiple organization affiliate badges - Improved post analytics - Community notes debunking propaganda misstatements - Introduced verified badges for organizations - Launched X TV and many more features.

DogeDesigner

3,602,880 次观看 • 9 个月前

Iran war, day 150 | War is on, Saudi, Iraq, Saudi and the US are all in -Iran wiped out what’s left of the Muwaffaq Salti Airbase in Jordan. -Iran launched 6 ballistics at Jordan -there were direct hits -IRGC launched drone strikes targeting Kurdish separatist parties in Erbil. -Kurdish terrorists are backed by the CIA & Mossad The U.S. continues its refueling ops in Saudi, a full participant in the war How has Yemen been punishing the Saudi terror state? Yemen targeted Saudi oil tankers with ballistics! -Yemeni hit Saudi oil tanker NCC GHAZAL, which violated the maritime blockade imposed on Saudi and ignored repeated warning calls. -multiple ballistic missiles were used in the operation. -Yemeni forces say the tanker was subsequently forced to turn back and retreat from the area. -Yemeni then hit another Saudi tanker NCC GHAZAL, which Yemen says was targeted with multiple ballistic missiles after ignoring warnings and was forced to turn back. -the Red Sea remains closed to all Saudi ships, which impacts both 4 million barrels of oil/day -Saudi is losing over $500 million/day b/c of the SOH & Red Sea closures While Yemen punishes Saudi terrorism, the U.S. and Saudi have been bombing Iraq! -US-Saudi terrorists hit headquarters of Brigade 30 as a result of US-Saudi aggression. -7 members of the PMF were killed -7 members of Hashd Al Shaabi killed -Saudi-US terrorist hit Karbala and Nineveh -Hashd al-Shaabi bases in the provinces of Karbala and Nineveh have also been targeted by Saudi-American attacks. -Also in Karbala, the convoys and stations of Arbaeen pilgrims were targeted by Saudi-US terrorists. -this is reminiscent of the battle of Karbala in 680 AD where Ḥusayn ibn ʿAlī, (grandson of the Prophet and son of ʿAlī, the rightful successor to the prophet), was defeated and massacred by an army sent by the corrupt Sunni Umayyad caliph Yazīd I, the predecessor of Al Qaeda and ISIS death squads -RECALL the Karbala Massacre of 1801, where Wahhabis killed ~4000 Shia in homes, mosques, and marketplaces. History repeats itself Ansar’Allah and Iran have condemned Saudi/US terrorism on Iraq US journalist: Saudi Arabia is following in the footsteps of ISIS, as they have historically UAE has fully given up its autonomy -they have joined the Abraham accord -there remainders of US bases -UAE joined war with the US vs. Iran And now, UAE allowed US takeover of AI military infrastructure in the country, per CopeCOM: -U.S. Copecom and UAE have agreed to establish their 1st bilateral task force to accelerate the development of military AI apps. -The initiative, named Task Force Talon Synapse, is expected to formally launch in the coming weeks and will focus on integrating AI into intelligence support, critical infrastructure protection, and regional security monitoring. -is this any different from section 219 between the U.S. military & IDF What has Trump been up to? He is taking instruction from his boss Netanyahu, who demands war on Iran -will Trump strike pickaxe mountain? -he will keep arming the kosher mafia in Ukraine, per meetings with Zelensky How absurd is the cost difference for weapons between the US and Iran? 1 example: hypersonics US spends $41 million on dark eagle -8 in stock. Mack 5 top speed. Basic -not yet tested in combat Iran has Kheibar Shekan -over 1000 in stock. 1 million each -over Mach 8 - tried and tested in combat -low cost, mobile, accurate, and rapid launch capability. -kheibar-4 has top speed Mach 16 -1500kg war head
0:11

Iran war, day 150 | War is on, Saudi, Iraq, Saudi and the US are all in -Iran wiped out what’s left of the Muwaffaq Salti Airbase in Jordan. -Iran launched 6 ballistics at Jordan -there were direct hits -IRGC launched drone strikes targeting Kurdish separatist parties in Erbil. -Kurdish terrorists are backed by the CIA & Mossad The U.S. continues its refueling ops in Saudi, a full participant in the war How has Yemen been punishing the Saudi terror state? Yemen targeted Saudi oil tankers with ballistics! -Yemeni hit Saudi oil tanker NCC GHAZAL, which violated the maritime blockade imposed on Saudi and ignored repeated warning calls. -multiple ballistic missiles were used in the operation. -Yemeni forces say the tanker was subsequently forced to turn back and retreat from the area. -Yemeni then hit another Saudi tanker NCC GHAZAL, which Yemen says was targeted with multiple ballistic missiles after ignoring warnings and was forced to turn back. -the Red Sea remains closed to all Saudi ships, which impacts both 4 million barrels of oil/day -Saudi is losing over $500 million/day b/c of the SOH & Red Sea closures While Yemen punishes Saudi terrorism, the U.S. and Saudi have been bombing Iraq! -US-Saudi terrorists hit headquarters of Brigade 30 as a result of US-Saudi aggression. -7 members of the PMF were killed -7 members of Hashd Al Shaabi killed -Saudi-US terrorist hit Karbala and Nineveh -Hashd al-Shaabi bases in the provinces of Karbala and Nineveh have also been targeted by Saudi-American attacks. -Also in Karbala, the convoys and stations of Arbaeen pilgrims were targeted by Saudi-US terrorists. -this is reminiscent of the battle of Karbala in 680 AD where Ḥusayn ibn ʿAlī, (grandson of the Prophet and son of ʿAlī, the rightful successor to the prophet), was defeated and massacred by an army sent by the corrupt Sunni Umayyad caliph Yazīd I, the predecessor of Al Qaeda and ISIS death squads -RECALL the Karbala Massacre of 1801, where Wahhabis killed ~4000 Shia in homes, mosques, and marketplaces. History repeats itself Ansar’Allah and Iran have condemned Saudi/US terrorism on Iraq US journalist: Saudi Arabia is following in the footsteps of ISIS, as they have historically UAE has fully given up its autonomy -they have joined the Abraham accord -there remainders of US bases -UAE joined war with the US vs. Iran And now, UAE allowed US takeover of AI military infrastructure in the country, per CopeCOM: -U.S. Copecom and UAE have agreed to establish their 1st bilateral task force to accelerate the development of military AI apps. -The initiative, named Task Force Talon Synapse, is expected to formally launch in the coming weeks and will focus on integrating AI into intelligence support, critical infrastructure protection, and regional security monitoring. -is this any different from section 219 between the U.S. military & IDF What has Trump been up to? He is taking instruction from his boss Netanyahu, who demands war on Iran -will Trump strike pickaxe mountain? -he will keep arming the kosher mafia in Ukraine, per meetings with Zelensky How absurd is the cost difference for weapons between the US and Iran? 1 example: hypersonics US spends $41 million on dark eagle -8 in stock. Mack 5 top speed. Basic -not yet tested in combat Iran has Kheibar Shekan -over 1000 in stock. 1 million each -over Mach 8 - tried and tested in combat -low cost, mobile, accurate, and rapid launch capability. -kheibar-4 has top speed Mach 16 -1500kg war head

Truth_teller 🇷🇺

39,264 次观看 • 15 天前

As we prepare to launch several projects, we're eager to provide a general update to our community. We are steadily approaching our end goal, thanks to the daily progress we're making toward our vision. Achieving our objectives will bring about a significant transformation in cross-chain interoperability and the flow of liquidity within protocols. This will address crucial challenges and drive mass adoption. Our future-focused approach and effective team collaboration keep us moving forward in an organized manner. Let’s delve deeper into the state of development of our current products and upcoming projects. Tao Bridge Starting with the Tao Bridge, which enables the #Bittensor community to unlock DeFi opportunities with their $TAO via a highly efficient blockchain like #MultiversX, known for its security, speed, and affordability. We deeply admire #Bittensor and believe a project like that is crucial for the future of not just the crypto space but also humanity, as it addresses the major challenges AI faces today: centralization, siloed and isolated work, which pose risks and hinder the technology's potential. We are committed to the vision of subnets and dynamic $TAO, convinced that this ecosystem is as groundbreaking as #Ethereum or #Bitcoin. We will continue to support #Bittensor wherever possible, and our bridge will also expand to other chains with Hatom V2. The TAO Bridge, deployed on and accessible through will launch on the Mainnet in 14 days, on March 27th. You can follow the countdown on the lending page at Given that our main priorities are security and stability, this period will be primarily focused on quality assurance to ensure a flawless Mainnet launch. The launch will also introduce TAO Liquid Staking at along with the integration of both $wTAO and $swTAO on the lending page. This allows #Bittensor users to leverage liquid stake, employ short or long strategies, among other DeFi strategies, or simply access stablecoin liquidity while maintaining exposure to their $TAO. Up to $1M will be distributed as additional incentives on top of the supply APYs at the launch of the $wTAO and $swTAO money markets, with $200K allocated for the first month specifically for bootstrapping. Initially, 70% of rewards will go to liquidity providers, and 30% to those using $HTM to boost their lending positions. This changes to a 50-50 split in the second month, and by the third month, all incentives are directed through the Booster. This approach encourages early participation and sustained engagement with $HTM. Introducing $TAO to #MultiversX will result in the creation of Liquidity Pools (LPs) on both AshSwap 🔥 and xExchange ⚡. These LPs will be incentivized by both entities, and Hatom will distribute extra rewards at launch. The goal is to make #MultiversX a one-stop hub for $TAO holders. Upon stabilizing the volumes, there will also be plans to integrate it on AshPerp 🔥. Furthermore, with the release of $USH, users will have the ability to mint it while retaining exposure to their $TAO. The TAO Bridge and TAO Liquid Staking smart contracts have been audited by Runtime Vеrification and @arda_project, while penetration testing and DevSecOps have been performed on our infrastructure by CertiK. We're excited to announce our exclusive partnership with TAONEW one of the top 5 validators on #Bittensor. TAONEW has been extremely helpful and supportive from day one. By sharing 50% of its service fee with its stakers, TAONEW enables Hatom to offer an optimized Staking APY to its users. Since our initial reference, #Bittensor has grown sevenfold, becoming the largest AI project in the crypto sphere. We reiterate our commitment to contribute to such technology and hope to address some of its current DeFi challenges. Syfy Moving forward, today marks a significant milestone, not only for our decentralized protocols but also for our development companies, which currently stand as the sole and primary contributors to the Hatom Labs and Soul Labs. We’re excited to unveil Syfy, the evolved identity of Hatom Labs and Soul Labs, now serving as the parent entity for our burgeoning development companies. Organization is crucial for scalability, which is why Syfy was established to cultivate an environment where our teams can collaborate more seamlessly, enhancing our effectiveness and efficiency. At the same time, we remain committed to upholding the financial independence of each project, supported by its own community of funding contributors. Feel free to explore our website at for more information! Additionally, don't forget to follow Syfy and explore their Genesis article highlighted in their initial post: Booster V2 The Booster V2 will introduce a range of new features and opportunities for $HTM holders: Optimized Position Boosting: Previously, boosting was done individually for each money market, necessitating $HTM token distribution and periodic rebalancing due to price fluctuations. With Booster V2, the system now considers the overall position, eliminating the need for manual rebalancing. Gas Fee Reduction: Booster V2 implements optimizations that result in reduced gas fees, making transactions more cost-effective for users. Incorporation of Governance: Users staking $HTM tokens gain voting rights directly within the Booster, allowing them to participate in governance decisions while maintaining their staked positions. (Note: Only $HTM tokens are considered for governance; LP tokens are not included.) Enhanced Boosting Mechanism: The Booster V2 enables LP Tokens to boost positions within the Booster, leveraging trading fees from swaps and farm incentives while boosting lending positions. Smart Contract Completion: The Booster smart contract has been completed and audited by @arda_project, ensuring security and reliability. Frontend Implementation: The frontend design for Booster V2 has been successfully implemented, providing users with an intuitive interface. Collaboration with xExchange: Exploration is ongoing for collaboration with xExchange ⚡ to enable LP creation, farming, and meta-staking within the Booster. Upon finalization of testing, we will launch the Booster V2 on the devnet to gather community feedback and begin preparations for the mainnet release. Soul Before delving into Soul Labs's developments, it's essential to summarize its core functionality briefly: Soul Labs seamlessly connects different lending protocols and blockchains, facilitating lending and borrowing across platforms like Aave, Compound Labs, and Hatom Labs, consolidating liquidity and users' borrowing capabilities. Utilizing LayerZero Labs and other messaging layers for cross-chain communication, Soul Labs bypasses asset bridging or synthetics, unlocking novel DeFi strategies and solidifying its position as the ultimate solution for cross-lending dilemmas. Soul V1 will be permissionless, holding censorship-resistant features, incorporating multiple redundancy mechanisms, and providing support for various DApps. We're thrilled to announce that, following the launch of the Tao Bridge in 2-3 weeks, we will introduce the Soul Labs website. This platform has been meticulously crafted over 250 days to not only provide a comprehensive overview of our vision but also to offer an engaging and captivating experience that promises to be memorable. Regarding the app, significant progress has been made on the V1 protocol, including: Smart Contract Development and Testing: • Completion of the initial phase of smart contract development. • Conducting advanced testing to ensure the system's robustness. • Establishment of a fully functional proof of concept. Successful deployment and testing on the #Goerli (#Ethereum Testnet) and #Mumbai (#Polygon Testnet), leveraging LayerZero Labs for seamless operation. Feature Enhancement and Protocol Optimization: • Enhanced testing procedures to bolster system resilience. • Integration of advanced features and significant code refactoring for optimization. • Incorporation of various communication methods, including LayerZero Labs, Formerly Axelar, now at @axelar, Chainlink CCIP), and wormholecrypto, into Soul Labs framework, enhancing its resilience and flexibility. This allows Soul Labs to maintain operation through alternative protocols if the primary one is temporarily paused. Website Development and Documentation: • Nearing the completion of the v1 app, with final touches being applied. • The preparation of comprehensive V1 documentation and the Yellow Paper, available upon Soul Labs's public launch, offering detailed insights into the platform's infrastructure and capabilities. USH Recognizing the critical need for stable liquidity within the ecosystem, we have positioned ourselves at the forefront of providing a solution by introducing $USH, the first native, decentralized, and over-collateralized stablecoin on #MultiversX. As market conditions have improved, we have observed a growing demand for stablecoins in the ecosystem, evidenced by the utilization rate in the Lending Protocol spiking to over 90% several times in recent months. Therefore, our goal is to tackle the current challenges faced by users by creating a robust product that will not only help them hedge against market volatility but also open up better opportunities to trade the markets and generate yield. We're happy to unveil the $USH website, now live with a sleek and intuitive user interface, designed for ease of use, which ensures that interacting with the protocol is straightforward and accessible for all. You can access it now through this link: For the technical side, we’re advancing steadily and we’ve accomplished the following milestones: Lending Protocol Facilitator: • Coded the first version to support multiple discount factors for different collaterals. • Implemented tracking of borrowing effectiveness to enable earnings forecasting for the module and support minting processes. Isolated Pools Facilitator: • Coded the first version of Isolated Pools Facilitator. • Use of $EGLD or $sEGLD as collateral, with positions stored always in $EGLD to benefit the protocol through Liquid Staking and lending interest. • Virtual account implementation for converting $sEGLD earnings into $USH, functioning like liquidation where users deposit $USH for a higher amount of $HsELGD. Staking Module • Coded the first version of the Staking Module that allows users to stake and unstake without any restrictions. We're currently focusing our efforts on the following tasks: • Implementation of HTM Booster in the discount model in the Lending Protocol. • Implementation of different depeg strategies and brainstorming further potential “soft” depeg mechanisms. • Research and implementation of rewards model for Staking Module. • Research and implementation of Boosted Vaults Facilitator. • Review and stress-test the first version of the code. Upon launch, $USH will be integrated into various protocols and AMMs across the ecosystem, further increasing both its utility and liquidity. The opportunities will be vast, enabling users to engage in a wide range of activities such as yield farming, staking, and arbitrage, all while leveraging a stable and reliable asset. Regarding the USH Airdrop campaign, it will continue until the official launch of $USH planned for late Q2-early Q3, rewarding all users who have actively participated in the initiative. Hatom V2 It is clear by now that we are driven to build a more robust, interoperable, and secure DeFi space, removing the current barriers that hinder users' capabilities to seamlessly interact with different blockchains. Through Hatom V2, we will introduce Hatom's cross-chain architecture, designed from the ground up for interoperability. This approach will elevate the protocol to unprecedented levels, enabling its deployment across various blockchains and facilitating seamless connections between them through Soul. By enhancing interoperability, Hatom V2 aims to foster a more inclusive and accessible ecosystem. This expansion will not only broaden the protocol's reach but also significantly increase its flexibility and utility, allowing users to interact with a diverse range of assets and products across different chains. We’re thrilled to share that we are currently crafting the V2 redesign of the Hatom webpage. Anticipate a jaw-dropping transformation that will truly astonish, blending cutting-edge design with an unparalleled user experience, elevating it to a dynamic, interactive hub, and making every interaction more engaging. Good things take time, but we are confident that the release of V2 website will take place in the second quarter of this year and will officially mark the start of our journey into the cross-chain landscape. We are excited about the future and we truly believe that this will mark the beginning of a new era for Hatom. It's crucial for us to develop rapidly without sacrificing the quality or the security of each product. We're strategically allocating resources to ensure smooth progress in every area of our work. As we push forward, we believe that the launch of Soul Labs will be the most important milestone due to its massive potential and disruptive technology. We would like to thank you all for the unwavering support you've shown over the past few months; it truly fuels our passion to push daily and make strides toward achieving our ambitious goals.
0:11

As we prepare to launch several projects, we're eager to provide a general update to our community. We are steadily approaching our end goal, thanks to the daily progress we're making toward our vision. Achieving our objectives will bring about a significant transformation in cross-chain interoperability and the flow of liquidity within protocols. This will address crucial challenges and drive mass adoption. Our future-focused approach and effective team collaboration keep us moving forward in an organized manner. Let’s delve deeper into the state of development of our current products and upcoming projects. Tao Bridge Starting with the Tao Bridge, which enables the #Bittensor community to unlock DeFi opportunities with their $TAO via a highly efficient blockchain like #MultiversX, known for its security, speed, and affordability. We deeply admire #Bittensor and believe a project like that is crucial for the future of not just the crypto space but also humanity, as it addresses the major challenges AI faces today: centralization, siloed and isolated work, which pose risks and hinder the technology's potential. We are committed to the vision of subnets and dynamic $TAO, convinced that this ecosystem is as groundbreaking as #Ethereum or #Bitcoin. We will continue to support #Bittensor wherever possible, and our bridge will also expand to other chains with Hatom V2. The TAO Bridge, deployed on and accessible through will launch on the Mainnet in 14 days, on March 27th. You can follow the countdown on the lending page at Given that our main priorities are security and stability, this period will be primarily focused on quality assurance to ensure a flawless Mainnet launch. The launch will also introduce TAO Liquid Staking at along with the integration of both $wTAO and $swTAO on the lending page. This allows #Bittensor users to leverage liquid stake, employ short or long strategies, among other DeFi strategies, or simply access stablecoin liquidity while maintaining exposure to their $TAO. Up to $1M will be distributed as additional incentives on top of the supply APYs at the launch of the $wTAO and $swTAO money markets, with $200K allocated for the first month specifically for bootstrapping. Initially, 70% of rewards will go to liquidity providers, and 30% to those using $HTM to boost their lending positions. This changes to a 50-50 split in the second month, and by the third month, all incentives are directed through the Booster. This approach encourages early participation and sustained engagement with $HTM. Introducing $TAO to #MultiversX will result in the creation of Liquidity Pools (LPs) on both AshSwap 🔥 and xExchange ⚡. These LPs will be incentivized by both entities, and Hatom will distribute extra rewards at launch. The goal is to make #MultiversX a one-stop hub for $TAO holders. Upon stabilizing the volumes, there will also be plans to integrate it on AshPerp 🔥. Furthermore, with the release of $USH, users will have the ability to mint it while retaining exposure to their $TAO. The TAO Bridge and TAO Liquid Staking smart contracts have been audited by Runtime Vеrification and @arda_project, while penetration testing and DevSecOps have been performed on our infrastructure by CertiK. We're excited to announce our exclusive partnership with TAONEW one of the top 5 validators on #Bittensor. TAONEW has been extremely helpful and supportive from day one. By sharing 50% of its service fee with its stakers, TAONEW enables Hatom to offer an optimized Staking APY to its users. Since our initial reference, #Bittensor has grown sevenfold, becoming the largest AI project in the crypto sphere. We reiterate our commitment to contribute to such technology and hope to address some of its current DeFi challenges. Syfy Moving forward, today marks a significant milestone, not only for our decentralized protocols but also for our development companies, which currently stand as the sole and primary contributors to the Hatom Labs and Soul Labs. We’re excited to unveil Syfy, the evolved identity of Hatom Labs and Soul Labs, now serving as the parent entity for our burgeoning development companies. Organization is crucial for scalability, which is why Syfy was established to cultivate an environment where our teams can collaborate more seamlessly, enhancing our effectiveness and efficiency. At the same time, we remain committed to upholding the financial independence of each project, supported by its own community of funding contributors. Feel free to explore our website at for more information! Additionally, don't forget to follow Syfy and explore their Genesis article highlighted in their initial post: Booster V2 The Booster V2 will introduce a range of new features and opportunities for $HTM holders: Optimized Position Boosting: Previously, boosting was done individually for each money market, necessitating $HTM token distribution and periodic rebalancing due to price fluctuations. With Booster V2, the system now considers the overall position, eliminating the need for manual rebalancing. Gas Fee Reduction: Booster V2 implements optimizations that result in reduced gas fees, making transactions more cost-effective for users. Incorporation of Governance: Users staking $HTM tokens gain voting rights directly within the Booster, allowing them to participate in governance decisions while maintaining their staked positions. (Note: Only $HTM tokens are considered for governance; LP tokens are not included.) Enhanced Boosting Mechanism: The Booster V2 enables LP Tokens to boost positions within the Booster, leveraging trading fees from swaps and farm incentives while boosting lending positions. Smart Contract Completion: The Booster smart contract has been completed and audited by @arda_project, ensuring security and reliability. Frontend Implementation: The frontend design for Booster V2 has been successfully implemented, providing users with an intuitive interface. Collaboration with xExchange: Exploration is ongoing for collaboration with xExchange ⚡ to enable LP creation, farming, and meta-staking within the Booster. Upon finalization of testing, we will launch the Booster V2 on the devnet to gather community feedback and begin preparations for the mainnet release. Soul Before delving into Soul Labs's developments, it's essential to summarize its core functionality briefly: Soul Labs seamlessly connects different lending protocols and blockchains, facilitating lending and borrowing across platforms like Aave, Compound Labs, and Hatom Labs, consolidating liquidity and users' borrowing capabilities. Utilizing LayerZero Labs and other messaging layers for cross-chain communication, Soul Labs bypasses asset bridging or synthetics, unlocking novel DeFi strategies and solidifying its position as the ultimate solution for cross-lending dilemmas. Soul V1 will be permissionless, holding censorship-resistant features, incorporating multiple redundancy mechanisms, and providing support for various DApps. We're thrilled to announce that, following the launch of the Tao Bridge in 2-3 weeks, we will introduce the Soul Labs website. This platform has been meticulously crafted over 250 days to not only provide a comprehensive overview of our vision but also to offer an engaging and captivating experience that promises to be memorable. Regarding the app, significant progress has been made on the V1 protocol, including: Smart Contract Development and Testing: • Completion of the initial phase of smart contract development. • Conducting advanced testing to ensure the system's robustness. • Establishment of a fully functional proof of concept. Successful deployment and testing on the #Goerli (#Ethereum Testnet) and #Mumbai (#Polygon Testnet), leveraging LayerZero Labs for seamless operation. Feature Enhancement and Protocol Optimization: • Enhanced testing procedures to bolster system resilience. • Integration of advanced features and significant code refactoring for optimization. • Incorporation of various communication methods, including LayerZero Labs, Formerly Axelar, now at @axelar, Chainlink CCIP), and wormholecrypto, into Soul Labs framework, enhancing its resilience and flexibility. This allows Soul Labs to maintain operation through alternative protocols if the primary one is temporarily paused. Website Development and Documentation: • Nearing the completion of the v1 app, with final touches being applied. • The preparation of comprehensive V1 documentation and the Yellow Paper, available upon Soul Labs's public launch, offering detailed insights into the platform's infrastructure and capabilities. USH Recognizing the critical need for stable liquidity within the ecosystem, we have positioned ourselves at the forefront of providing a solution by introducing $USH, the first native, decentralized, and over-collateralized stablecoin on #MultiversX. As market conditions have improved, we have observed a growing demand for stablecoins in the ecosystem, evidenced by the utilization rate in the Lending Protocol spiking to over 90% several times in recent months. Therefore, our goal is to tackle the current challenges faced by users by creating a robust product that will not only help them hedge against market volatility but also open up better opportunities to trade the markets and generate yield. We're happy to unveil the $USH website, now live with a sleek and intuitive user interface, designed for ease of use, which ensures that interacting with the protocol is straightforward and accessible for all. You can access it now through this link: For the technical side, we’re advancing steadily and we’ve accomplished the following milestones: Lending Protocol Facilitator: • Coded the first version to support multiple discount factors for different collaterals. • Implemented tracking of borrowing effectiveness to enable earnings forecasting for the module and support minting processes. Isolated Pools Facilitator: • Coded the first version of Isolated Pools Facilitator. • Use of $EGLD or $sEGLD as collateral, with positions stored always in $EGLD to benefit the protocol through Liquid Staking and lending interest. • Virtual account implementation for converting $sEGLD earnings into $USH, functioning like liquidation where users deposit $USH for a higher amount of $HsELGD. Staking Module • Coded the first version of the Staking Module that allows users to stake and unstake without any restrictions. We're currently focusing our efforts on the following tasks: • Implementation of HTM Booster in the discount model in the Lending Protocol. • Implementation of different depeg strategies and brainstorming further potential “soft” depeg mechanisms. • Research and implementation of rewards model for Staking Module. • Research and implementation of Boosted Vaults Facilitator. • Review and stress-test the first version of the code. Upon launch, $USH will be integrated into various protocols and AMMs across the ecosystem, further increasing both its utility and liquidity. The opportunities will be vast, enabling users to engage in a wide range of activities such as yield farming, staking, and arbitrage, all while leveraging a stable and reliable asset. Regarding the USH Airdrop campaign, it will continue until the official launch of $USH planned for late Q2-early Q3, rewarding all users who have actively participated in the initiative. Hatom V2 It is clear by now that we are driven to build a more robust, interoperable, and secure DeFi space, removing the current barriers that hinder users' capabilities to seamlessly interact with different blockchains. Through Hatom V2, we will introduce Hatom's cross-chain architecture, designed from the ground up for interoperability. This approach will elevate the protocol to unprecedented levels, enabling its deployment across various blockchains and facilitating seamless connections between them through Soul. By enhancing interoperability, Hatom V2 aims to foster a more inclusive and accessible ecosystem. This expansion will not only broaden the protocol's reach but also significantly increase its flexibility and utility, allowing users to interact with a diverse range of assets and products across different chains. We’re thrilled to share that we are currently crafting the V2 redesign of the Hatom webpage. Anticipate a jaw-dropping transformation that will truly astonish, blending cutting-edge design with an unparalleled user experience, elevating it to a dynamic, interactive hub, and making every interaction more engaging. Good things take time, but we are confident that the release of V2 website will take place in the second quarter of this year and will officially mark the start of our journey into the cross-chain landscape. We are excited about the future and we truly believe that this will mark the beginning of a new era for Hatom. It's crucial for us to develop rapidly without sacrificing the quality or the security of each product. We're strategically allocating resources to ensure smooth progress in every area of our work. As we push forward, we believe that the launch of Soul Labs will be the most important milestone due to its massive potential and disruptive technology. We would like to thank you all for the unwavering support you've shown over the past few months; it truly fuels our passion to push daily and make strides toward achieving our ambitious goals.

Hatom Labs

203,486 次观看 • 2 年前

💍 ARQX LAUNCHING WORLD’S FIRST AI - LUXURY JEWELRY TOKEN: $ARQX ⏰ When: May 7th - 16:00 UTC 📍 Where: Uniswap ⚡️ What: ARQx ($ARQX) & its consumer-focused AI mobile app have the potential to revolutionize how jewelry & luxury is created the world over. The ARQ Jewelry app, the first of its kind, enables anyone on earth to instantly design & build professional-level jewelry in seconds (available for both iOS & Android). 💎 By leveraging artificial intelligence, ARQx democratizes the design process, challenging a $350+ billion dollar (2023) centralized industry. AI is set to disrupt over 300 million full-time jobs in the next decade & the world of luxury is right in its cross-hairs. ➡️📱 ARQx will unveil its mobile jewelry design platform on the MAY 9TH, 2024 - 2 days after TGE. 💎 No need to wait weeks or months to try ARQx’s disruptive tech. This IS NOT a niche web3 game or defi project with a limited user base, but instead; a full-fledged consumer ecomm experience, primed mass market adoption with millions of users. You can use it, you wife can use it, your children can use it - anyone who has ever bought or worn jewelry can use the #ARQx Jewelry Design app. ARQX TOKEN DETAILS: 💎 Token name: ARQx AI 💎 Token ticker: $ARQX 💎 Total supply: 1 billion tokens split across BASE & ETH (1,000,000,000) 💎Market cap: $353,395 at launch | $7,000,000 fully diluted. 💎 Targeted Industries: Artificial Intelligence [AI], Real World Business [RWB], Luxury Fine Jewelry, Precious Metals. DEX TRADING WILL COMMENCE ON UNISWAP AT 16:00 UTC ON MAY 7TH, 2024: Multiple CEX listings locked, announcements shortly post TGE. ➡️ BASE contract address: 0x5e432eeCd01C12ee7071Ee9219C2477a347DA192 ➡️ ETH contract address: 0x5e432eeCd01C12ee7071Ee9219C2477a347DA192 * The contract address is the same on both the BASE and ETH chains. ** ARQX NEVER has any BUY tax, always 0%. Because of generous aggressive vesting + protection against malicious bot activity, ARQX has a 10% SELL for week 1, which will then set to 8%, before diminishing monthly to 2%. ARQX TOKEN UTILITY: 💎 The ARQ Jewelry platform is powered by the $ARQX token, which allows each user to design new jewelry dozens of times a day. The more jewelry designed, the more token usage (in-app AI gas). The app also includes a buyback & burn tax on ALL jewelry purchases… forcing increased buying pressure on the open market as ARQx scales its user base & sales. 💎 ARQx is built for ease-of-use by a combined audience of mainstream web2 & web3 alike. Traditional users can easily convert their fiat funds in-app into the token - without the hurdles of a legacy web3 user experience; creating an effortless USD to ARQX onramp. With sale prices ranging from $500 to $10,000, profit margins exceeding 100%, lucrative staking incentives (APY for web3, discounts for web2), the token price is geared to explode even independently of its open market trading. MAINSTREAM MISSION & ADOPTION: 💎 ARQx's resonating mission focuses on enabling the masses to awaken their creative expression, traditionally gate-kept by fashion industry elites. The platform encourages individuals to trust their creative instincts and design their own personal fashion, rather than forcing them to conform to seasonal trends dictated by “big lux”. 💎 Lastly, ARQx’s roadmap extrapolates all these strengths to include: smart NFC jewelry containing crypto wallets (already shipped), individual creator Shopify-style stores, B2B white-labeled solutions for the entire jewelry industry (first clients already acquired), and further expansion into additional custom lux AI products such as: fashion, handbags, collectibles, and footwear. Detailed roadmap can be found on the ARQx website [link in bio]. Becoming an early token adopter of the $ARQX token gives community members exposure to all of this asymmetrical upside, & "fomo-proofs" against the disruptive potential for AI in the jewelry industry: a perpetual precious-metal-focused ancient and robust part of human culture. ARQX - Changing the world of luxury forever… together!
0:19

💍 ARQX LAUNCHING WORLD’S FIRST AI - LUXURY JEWELRY TOKEN: $ARQX ⏰ When: May 7th - 16:00 UTC 📍 Where: Uniswap ⚡️ What: ARQx ($ARQX) & its consumer-focused AI mobile app have the potential to revolutionize how jewelry & luxury is created the world over. The ARQ Jewelry app, the first of its kind, enables anyone on earth to instantly design & build professional-level jewelry in seconds (available for both iOS & Android). 💎 By leveraging artificial intelligence, ARQx democratizes the design process, challenging a $350+ billion dollar (2023) centralized industry. AI is set to disrupt over 300 million full-time jobs in the next decade & the world of luxury is right in its cross-hairs. ➡️📱 ARQx will unveil its mobile jewelry design platform on the MAY 9TH, 2024 - 2 days after TGE. 💎 No need to wait weeks or months to try ARQx’s disruptive tech. This IS NOT a niche web3 game or defi project with a limited user base, but instead; a full-fledged consumer ecomm experience, primed mass market adoption with millions of users. You can use it, you wife can use it, your children can use it - anyone who has ever bought or worn jewelry can use the #ARQx Jewelry Design app. ARQX TOKEN DETAILS: 💎 Token name: ARQx AI 💎 Token ticker: $ARQX 💎 Total supply: 1 billion tokens split across BASE & ETH (1,000,000,000) 💎Market cap: $353,395 at launch | $7,000,000 fully diluted. 💎 Targeted Industries: Artificial Intelligence [AI], Real World Business [RWB], Luxury Fine Jewelry, Precious Metals. DEX TRADING WILL COMMENCE ON UNISWAP AT 16:00 UTC ON MAY 7TH, 2024: Multiple CEX listings locked, announcements shortly post TGE. ➡️ BASE contract address: 0x5e432eeCd01C12ee7071Ee9219C2477a347DA192 ➡️ ETH contract address: 0x5e432eeCd01C12ee7071Ee9219C2477a347DA192 * The contract address is the same on both the BASE and ETH chains. ** ARQX NEVER has any BUY tax, always 0%. Because of generous aggressive vesting + protection against malicious bot activity, ARQX has a 10% SELL for week 1, which will then set to 8%, before diminishing monthly to 2%. ARQX TOKEN UTILITY: 💎 The ARQ Jewelry platform is powered by the $ARQX token, which allows each user to design new jewelry dozens of times a day. The more jewelry designed, the more token usage (in-app AI gas). The app also includes a buyback & burn tax on ALL jewelry purchases… forcing increased buying pressure on the open market as ARQx scales its user base & sales. 💎 ARQx is built for ease-of-use by a combined audience of mainstream web2 & web3 alike. Traditional users can easily convert their fiat funds in-app into the token - without the hurdles of a legacy web3 user experience; creating an effortless USD to ARQX onramp. With sale prices ranging from $500 to $10,000, profit margins exceeding 100%, lucrative staking incentives (APY for web3, discounts for web2), the token price is geared to explode even independently of its open market trading. MAINSTREAM MISSION & ADOPTION: 💎 ARQx's resonating mission focuses on enabling the masses to awaken their creative expression, traditionally gate-kept by fashion industry elites. The platform encourages individuals to trust their creative instincts and design their own personal fashion, rather than forcing them to conform to seasonal trends dictated by “big lux”. 💎 Lastly, ARQx’s roadmap extrapolates all these strengths to include: smart NFC jewelry containing crypto wallets (already shipped), individual creator Shopify-style stores, B2B white-labeled solutions for the entire jewelry industry (first clients already acquired), and further expansion into additional custom lux AI products such as: fashion, handbags, collectibles, and footwear. Detailed roadmap can be found on the ARQx website [link in bio]. Becoming an early token adopter of the $ARQX token gives community members exposure to all of this asymmetrical upside, & "fomo-proofs" against the disruptive potential for AI in the jewelry industry: a perpetual precious-metal-focused ancient and robust part of human culture. ARQX - Changing the world of luxury forever… together!

$ARQx AI | The Future of Jewelry

46,866 次观看 • 2 年前

Lads. Sit down and give me your ear a while, for I have watched from the water long enough and the hour is upon us whether we have the stomach for it or not. You remember. Or your fathers told you, or their fathers did, and the knowledge of it is in the marrow of you whether you drew breath in those days or not. The moors in the grey hour before dawn. Wet heather soft under the boot. Peat smoke rising from a low stone chimney a mile out across the bog, thin as a prayer. A sky the colour of a gun barrel and the gulls lamenting above the headland. The smell of turf burning, and wet wool, and the ferrous tang of the sea when the wind swung around out of the Atlantic and put the taste of iron on your tongue. A man could walk that land and know every stone of it was his by inheritance, because his grandfather had broken his back upon it, and his grandfather before him, back through the generations until you reach men whose names are lost and whose bones are in the soil you are standing on. The potato fields. God be good to us, the potato fields. Lazy beds cut straight as a gunwale, the ridges black and shining after a night of rain, women bent double with creels lashed to their backs and the children at their skirts, drawing the crop up by the hand for there was never any other means devised nor wanted. Hands split open at the knuckles and never entirely healed in this life. Hunger within living memory. Grandmothers who had seen the blight with their own eyes and would not speak of it from the year of it until the day they were laid down, save that a crust was kept always on the dresser which no soul in that house was permitted to touch. Not ever. Not for any reason under heaven. And the chimney sweeps. Wee lads no heavier than a sack of meal, black to the bone with soot, their lungs ruined before they were old enough to marry and old men entirely by thirty. Up the flues at first light, the skin worn off them by the brick, eyes crimson at the rim, breathing the black in with every draw of air. And the coal miners a half mile beneath our feet, down in the wet dark, the roof of the world muttering over their heads, the canary gone silent, a man's whole existence measured out in the shilling a ton and the dust he carried home in his chest to cough up of a Sunday morning into a rag. Fathers who descended and were never hauled up again. Widows at the pit head with the shawl drawn over the head and no tears remaining in them for they had spent those long ago. That was the tariff paid to keep the hearth lit. That was the reckoning of being warm in winter in the Ireland that was. And after the labouring week, Friday evening, and a man had earned the peace of what followed. Home first. Peeled the day off him in the yard. A shower of ice cold moor river water out of a tin bucket punctured with holes, hung on a nail on the gable wall, the water running clean down the back of him and carrying the week's dust and sweat away into the drain. Scrubbed till the skin was pink beneath the grime. Clean shirt laid out by the wife. The hair combed down with a drop of water. Then, and only then, did a man set himself to the table. A meat pie from the baker, tenpence if he was known to you, a shilling and no change if he was not, put down upon a proper plate. Fish and chips for threepence, the salt and vinegar soaked through the newspaper, but carried home and ate slowly at your own table with your people around you, not walked with through the streets like some vagrant tinker off the road. A man ate as a man who had earned his portion, for he had. And later, with the dishes cleared and the kettle set, down the road to the tavern. Low beams black with a century of smoke. A turf fire muttering in the grate. The air thick with pipe smoke and the vapour of wet overcoats steaming themselves dry on the backs of chairs. A pint of stout, cold and black as a cove at midnight, elevenpence laid down on the counter, a head on it thick enough to strike a match upon. A second one because you had it coming to you and no man present would dispute it. A fiddle starting up in the corner of its own accord. The old men in the snug who remembered matters the history books had long since mislaid. A song before the bolt was thrown on the door. The walk home beneath a firmament crowded with stars, the stout warm in the gut of you, the week behind you, and your own door waiting with the latch unlocked for you had no enemies in that parish. That was the country. That was the covenant. Honest labour, plain food, a cold wash, a hot meal, a cold pint, your own tongue in your own mouth, your own soil beneath your boots, and no man standing above you save the Almighty Himself. Now regard her. Regard her close. The fields disposed of to men who have never set foot upon them and never shall. The harbours signed away by the stroke of a pen in a room you were not admitted to, and foreign keels dragging out of our waters the living that sustained this island for a thousand years, while our own boats rot at their moorings for want of a quota. The tradesmen undercut by imported labour and imported goods. The shops shuttered along every main street from Donegal to Cork. The young ones scattered to London and Sydney and Boston and the Gulf because there is nothing remaining for them beneath their own roof. And the entirety of this rotten arrangement dressed up in the soft mannerly language of progress by men in towers of glass who could not tell a lazy bed from a grave, nor a trawler from a tugboat, nor an honest day's work from a pension plan. And now they arrive with the next imposition. A digital identity. A number assigned to each soul. A card required to buy your bread. A code required to draw your own earnings out of your own account. A file kept on every man, woman and child from the cradle forward. Permission asked to move. Permission asked to speak. Permission asked to earn. A levy upon every breath drawn and a regulation upon every step taken. No. And no again. And no for a third time so there is no misunderstanding of it. We do not require your digital identity. We did not request it. We did not vote upon it. We do not consent to it. We do not need your permission to exist upon the soil our forefathers are buried in. We are a free people. We have carried ourselves this far upon our own two backs. Through famine and empire and civil war and black lung and blight and the emigrant ship out of Cobh, we have come this distance under our own steam, and the arrangement appears to be serving us well enough without your intervention. We buried our own. We fed our own. We raised our own roofs and took our own fish and reared our own children in our own tongue. We are in your debt for nothing. Not a signature. Not a biometric scan. Not a single solitary inch. And while we are upon the subject, let us speak plainly of the tax man, for he has gone too long without proper introduction. The tax collector and the tax man are the one article under two names, and the article is a parasite. There is no dressing it up finer than that. A man who produces nothing, who grows nothing, who catches nothing, who builds nothing, who mends nothing, who has never in his professional life lifted anything heavier than a pen, and who arrives at your door with the full apparatus of the state at his back to carry off the fruits of labour he did not perform. He is a middleman between your sweat and some scheme dreamt up in a committee room by his own kind, and the great majority of what he takes is consumed by the machinery of the taking itself before ever a penny of it reaches the road or the hospital or the schoolhouse he claims to be funding. And I will go further while I have the floor. Finance itself, the whole apparatus of it, money breeding money in the dark without a hand laid upon a tool or a spade turned in the earth, is slavery dressed in a good suit. It is the oldest swindle known to man and it has never been anything other. A man who produces nothing yet lives off the productive labour of others through the charging of interest upon money conjured out of nothing is a parasite of a rarer and more refined order than the tax man, but a parasite all the same, and between the pair of them they have the working people of this island bled white and lectured at for the pleasure. A man who will not work with his hands, nor with his back, nor with his mind at some honest problem of the real physical world, is no man that I recognise. He is a ledger entry in a suit. The country was not built by ledger entries. The country was built by farmers and fishermen and masons and smiths and sweeps and miners and shipwrights and midwives and mothers, and those are the people whose say should carry in her councils, and no other. Here is what I put to you. Let each man and woman of this island direct the first tenth of their earnings themselves, by their own judgement, to the purpose they see as worthy. The school down the road. The lifeboat station. The hospice. The widow on the corner. The roof of the chapel. The harbour wall. Whatever it may be. Let the people who earned the money decide where the money travels. You will find the roads mended and the ports dredged and the schools standing and the old ones cared for inside of five years, and done better and for less, because the hand that earned the coin knows the weight of it and will not squander it upon consultants and committees. And let us have done with the paper currency and the numbers in a screen that can be frozen at the whim of a clerk in a tower. Bring back the coin. Gold for the great transactions. Silver for the weekly commerce of a working life. Copper for the small change of the day. Metal you can bite. Metal you can weigh. Metal that cannot be conjured out of nothing by a keystroke, nor erased out of existence by another. Real money for real labour. A coin in the hand is a free man's wage. A number in a database is a collar around a free man's neck, and they are fitting that collar now while we stand arguing over the colour of it. Feel it in your gut. That is not nothing. That is your blood relating to you what your ears will not hear. That is every forebear who starved and fought and coughed the black dust into a rag and descended the shaft regardless, standing at your shoulder and saying no further. Not one more field. Not one more harbour. Not one more son upon a plane. Not one more free man converted into a number in a ledger for the convenience of the parasites. This is the hour. Make no error about it. Ireland is redeemed in this generation or she is lost beyond recovery, and every true son and daughter of her knows it in the marrow. There is no middle ground remaining. There is no waiting it out. There is standing now, upon your own two feet, or there is watching her go under the waves for the last and final time. So stand. Stand with your farmers. Stand with your fishermen. Stand with your tradesmen and your miners and your sweeps and your mothers and your old ones. Raise the tricolour. Speak the tongue. Walk the land. Hold the line in the streets of every town and city and do not break it, for they are relying upon you to break and to go home and to forget by Tuesday. She is calling her children home. Every stone of her, every breaker on her western shore, every acre of wet heather and every coal in every hearth the length and breadth of her is calling. Answer her. Take her back. Every field, every harbour, every last inch of her. Take her back, or lose her entirely. There is no third road open to us.
0:10

Lads. Sit down and give me your ear a while, for I have watched from the water long enough and the hour is upon us whether we have the stomach for it or not. You remember. Or your fathers told you, or their fathers did, and the knowledge of it is in the marrow of you whether you drew breath in those days or not. The moors in the grey hour before dawn. Wet heather soft under the boot. Peat smoke rising from a low stone chimney a mile out across the bog, thin as a prayer. A sky the colour of a gun barrel and the gulls lamenting above the headland. The smell of turf burning, and wet wool, and the ferrous tang of the sea when the wind swung around out of the Atlantic and put the taste of iron on your tongue. A man could walk that land and know every stone of it was his by inheritance, because his grandfather had broken his back upon it, and his grandfather before him, back through the generations until you reach men whose names are lost and whose bones are in the soil you are standing on. The potato fields. God be good to us, the potato fields. Lazy beds cut straight as a gunwale, the ridges black and shining after a night of rain, women bent double with creels lashed to their backs and the children at their skirts, drawing the crop up by the hand for there was never any other means devised nor wanted. Hands split open at the knuckles and never entirely healed in this life. Hunger within living memory. Grandmothers who had seen the blight with their own eyes and would not speak of it from the year of it until the day they were laid down, save that a crust was kept always on the dresser which no soul in that house was permitted to touch. Not ever. Not for any reason under heaven. And the chimney sweeps. Wee lads no heavier than a sack of meal, black to the bone with soot, their lungs ruined before they were old enough to marry and old men entirely by thirty. Up the flues at first light, the skin worn off them by the brick, eyes crimson at the rim, breathing the black in with every draw of air. And the coal miners a half mile beneath our feet, down in the wet dark, the roof of the world muttering over their heads, the canary gone silent, a man's whole existence measured out in the shilling a ton and the dust he carried home in his chest to cough up of a Sunday morning into a rag. Fathers who descended and were never hauled up again. Widows at the pit head with the shawl drawn over the head and no tears remaining in them for they had spent those long ago. That was the tariff paid to keep the hearth lit. That was the reckoning of being warm in winter in the Ireland that was. And after the labouring week, Friday evening, and a man had earned the peace of what followed. Home first. Peeled the day off him in the yard. A shower of ice cold moor river water out of a tin bucket punctured with holes, hung on a nail on the gable wall, the water running clean down the back of him and carrying the week's dust and sweat away into the drain. Scrubbed till the skin was pink beneath the grime. Clean shirt laid out by the wife. The hair combed down with a drop of water. Then, and only then, did a man set himself to the table. A meat pie from the baker, tenpence if he was known to you, a shilling and no change if he was not, put down upon a proper plate. Fish and chips for threepence, the salt and vinegar soaked through the newspaper, but carried home and ate slowly at your own table with your people around you, not walked with through the streets like some vagrant tinker off the road. A man ate as a man who had earned his portion, for he had. And later, with the dishes cleared and the kettle set, down the road to the tavern. Low beams black with a century of smoke. A turf fire muttering in the grate. The air thick with pipe smoke and the vapour of wet overcoats steaming themselves dry on the backs of chairs. A pint of stout, cold and black as a cove at midnight, elevenpence laid down on the counter, a head on it thick enough to strike a match upon. A second one because you had it coming to you and no man present would dispute it. A fiddle starting up in the corner of its own accord. The old men in the snug who remembered matters the history books had long since mislaid. A song before the bolt was thrown on the door. The walk home beneath a firmament crowded with stars, the stout warm in the gut of you, the week behind you, and your own door waiting with the latch unlocked for you had no enemies in that parish. That was the country. That was the covenant. Honest labour, plain food, a cold wash, a hot meal, a cold pint, your own tongue in your own mouth, your own soil beneath your boots, and no man standing above you save the Almighty Himself. Now regard her. Regard her close. The fields disposed of to men who have never set foot upon them and never shall. The harbours signed away by the stroke of a pen in a room you were not admitted to, and foreign keels dragging out of our waters the living that sustained this island for a thousand years, while our own boats rot at their moorings for want of a quota. The tradesmen undercut by imported labour and imported goods. The shops shuttered along every main street from Donegal to Cork. The young ones scattered to London and Sydney and Boston and the Gulf because there is nothing remaining for them beneath their own roof. And the entirety of this rotten arrangement dressed up in the soft mannerly language of progress by men in towers of glass who could not tell a lazy bed from a grave, nor a trawler from a tugboat, nor an honest day's work from a pension plan. And now they arrive with the next imposition. A digital identity. A number assigned to each soul. A card required to buy your bread. A code required to draw your own earnings out of your own account. A file kept on every man, woman and child from the cradle forward. Permission asked to move. Permission asked to speak. Permission asked to earn. A levy upon every breath drawn and a regulation upon every step taken. No. And no again. And no for a third time so there is no misunderstanding of it. We do not require your digital identity. We did not request it. We did not vote upon it. We do not consent to it. We do not need your permission to exist upon the soil our forefathers are buried in. We are a free people. We have carried ourselves this far upon our own two backs. Through famine and empire and civil war and black lung and blight and the emigrant ship out of Cobh, we have come this distance under our own steam, and the arrangement appears to be serving us well enough without your intervention. We buried our own. We fed our own. We raised our own roofs and took our own fish and reared our own children in our own tongue. We are in your debt for nothing. Not a signature. Not a biometric scan. Not a single solitary inch. And while we are upon the subject, let us speak plainly of the tax man, for he has gone too long without proper introduction. The tax collector and the tax man are the one article under two names, and the article is a parasite. There is no dressing it up finer than that. A man who produces nothing, who grows nothing, who catches nothing, who builds nothing, who mends nothing, who has never in his professional life lifted anything heavier than a pen, and who arrives at your door with the full apparatus of the state at his back to carry off the fruits of labour he did not perform. He is a middleman between your sweat and some scheme dreamt up in a committee room by his own kind, and the great majority of what he takes is consumed by the machinery of the taking itself before ever a penny of it reaches the road or the hospital or the schoolhouse he claims to be funding. And I will go further while I have the floor. Finance itself, the whole apparatus of it, money breeding money in the dark without a hand laid upon a tool or a spade turned in the earth, is slavery dressed in a good suit. It is the oldest swindle known to man and it has never been anything other. A man who produces nothing yet lives off the productive labour of others through the charging of interest upon money conjured out of nothing is a parasite of a rarer and more refined order than the tax man, but a parasite all the same, and between the pair of them they have the working people of this island bled white and lectured at for the pleasure. A man who will not work with his hands, nor with his back, nor with his mind at some honest problem of the real physical world, is no man that I recognise. He is a ledger entry in a suit. The country was not built by ledger entries. The country was built by farmers and fishermen and masons and smiths and sweeps and miners and shipwrights and midwives and mothers, and those are the people whose say should carry in her councils, and no other. Here is what I put to you. Let each man and woman of this island direct the first tenth of their earnings themselves, by their own judgement, to the purpose they see as worthy. The school down the road. The lifeboat station. The hospice. The widow on the corner. The roof of the chapel. The harbour wall. Whatever it may be. Let the people who earned the money decide where the money travels. You will find the roads mended and the ports dredged and the schools standing and the old ones cared for inside of five years, and done better and for less, because the hand that earned the coin knows the weight of it and will not squander it upon consultants and committees. And let us have done with the paper currency and the numbers in a screen that can be frozen at the whim of a clerk in a tower. Bring back the coin. Gold for the great transactions. Silver for the weekly commerce of a working life. Copper for the small change of the day. Metal you can bite. Metal you can weigh. Metal that cannot be conjured out of nothing by a keystroke, nor erased out of existence by another. Real money for real labour. A coin in the hand is a free man's wage. A number in a database is a collar around a free man's neck, and they are fitting that collar now while we stand arguing over the colour of it. Feel it in your gut. That is not nothing. That is your blood relating to you what your ears will not hear. That is every forebear who starved and fought and coughed the black dust into a rag and descended the shaft regardless, standing at your shoulder and saying no further. Not one more field. Not one more harbour. Not one more son upon a plane. Not one more free man converted into a number in a ledger for the convenience of the parasites. This is the hour. Make no error about it. Ireland is redeemed in this generation or she is lost beyond recovery, and every true son and daughter of her knows it in the marrow. There is no middle ground remaining. There is no waiting it out. There is standing now, upon your own two feet, or there is watching her go under the waves for the last and final time. So stand. Stand with your farmers. Stand with your fishermen. Stand with your tradesmen and your miners and your sweeps and your mothers and your old ones. Raise the tricolour. Speak the tongue. Walk the land. Hold the line in the streets of every town and city and do not break it, for they are relying upon you to break and to go home and to forget by Tuesday. She is calling her children home. Every stone of her, every breaker on her western shore, every acre of wet heather and every coal in every hearth the length and breadth of her is calling. Answer her. Take her back. Every field, every harbour, every last inch of her. Take her back, or lose her entirely. There is no third road open to us.

SiriusB

15,437 次观看 • 3 个月前

Hegset on Iran: 'America is winning decisively, devastatingly, and mercilessly' (1) 🔵🇺🇸 Hegset: 'They are finished, and they know it' (2) 🔵Hegset: 'In less than a week, the two most powerful air forces in the world will have complete control over Iranian airspace' 🔵Hegset: 'Senior Iranian leaders are dead. The so-called governing council that may have chosen a successor is dead, missing, or in bunkers. Senior generals, mid-level officers, and soldiers cannot communicate or talk.' (3) 🔵Hegset: 'Last night we sank their prize ship, Soleimani. It seems the US president hit twice.' (4) 🔵Hegset: 'Yesterday in the Indian Ocean, a US submarine sank an Iranian warship that thought it was safe in international waters. Instead, it was sunk by a torpedo.' (5) 🔵 Hegset: 'To our steadfast partner, Israel - your mission is carried out with unrivaled skill and steely determination. Fighting shoulder to shoulder with such a capable ally is a true force multiplier and a breath of fresh air.' (6) 🔵Hegset: 'The only limitation we have is President Trump's desire to achieve concrete effects on behalf of the American people. You could say 4 weeks, but it could be 6, it could be 8, it could be 3.' (7) 🔵Hegset: 'We have long known that Iran intends to try to kill Trump and other American officials. Although that was not the focus of efforts, in fact, the president never initiated it, I made sure, and others made sure that those responsible for it ultimately become part of the target list.' (8) ✍️This is a perfect example of manufacturing consensus amid the failure of domestic support for war against Iran. Hegset is simply not good at subtlety. 🔵 To date, we have hit over 2,000 targets — General Dan Cain, Chairman of the Joint Chiefs (9) "We have destroyed more than 20 Iranian naval vessels, including one submarine, and effectively neutralized at this time the main Iranian naval presence on the ground there" 🔵Hegset was asked about the massacre at Minab elementary school in Iran - more than 165 CHILDREN died (10) 'All I can say is that we are investigating and of course we never target civilian objectives' Reporter: Several days have already passed 'We are investigating'
0:13

Hegset on Iran: 'America is winning decisively, devastatingly, and mercilessly' (1) 🔵🇺🇸 Hegset: 'They are finished, and they know it' (2) 🔵Hegset: 'In less than a week, the two most powerful air forces in the world will have complete control over Iranian airspace' 🔵Hegset: 'Senior Iranian leaders are dead. The so-called governing council that may have chosen a successor is dead, missing, or in bunkers. Senior generals, mid-level officers, and soldiers cannot communicate or talk.' (3) 🔵Hegset: 'Last night we sank their prize ship, Soleimani. It seems the US president hit twice.' (4) 🔵Hegset: 'Yesterday in the Indian Ocean, a US submarine sank an Iranian warship that thought it was safe in international waters. Instead, it was sunk by a torpedo.' (5) 🔵 Hegset: 'To our steadfast partner, Israel - your mission is carried out with unrivaled skill and steely determination. Fighting shoulder to shoulder with such a capable ally is a true force multiplier and a breath of fresh air.' (6) 🔵Hegset: 'The only limitation we have is President Trump's desire to achieve concrete effects on behalf of the American people. You could say 4 weeks, but it could be 6, it could be 8, it could be 3.' (7) 🔵Hegset: 'We have long known that Iran intends to try to kill Trump and other American officials. Although that was not the focus of efforts, in fact, the president never initiated it, I made sure, and others made sure that those responsible for it ultimately become part of the target list.' (8) ✍️This is a perfect example of manufacturing consensus amid the failure of domestic support for war against Iran. Hegset is simply not good at subtlety. 🔵 To date, we have hit over 2,000 targets — General Dan Cain, Chairman of the Joint Chiefs (9) "We have destroyed more than 20 Iranian naval vessels, including one submarine, and effectively neutralized at this time the main Iranian naval presence on the ground there" 🔵Hegset was asked about the massacre at Minab elementary school in Iran - more than 165 CHILDREN died (10) 'All I can say is that we are investigating and of course we never target civilian objectives' Reporter: Several days have already passed 'We are investigating'

S p r i n t e r

12,437 次观看 • 5 个月前

This is my "feel the AGI" moment: I used GPT-5.6 Sol to train my own autocorrect model that outperforms GPT-5.6 Sol (wtf??) I have no ML background. I have no idea what I'm doing. I just kept pushing Sol until it spat out a SOTA model. And I spent $0. The motivation: Years of talking to AI have made me terrible at typing. Rather than fix my skill issue, I decided to throw more AI at it. My idea was: instead of autocorrect that interrupts my flow, I want to type fast with mistakes and have AI clean it up after. I wanted the smallest local model possible, for speed, for battery life, for science! So I decided to train my own. Inspired by Andrej Karpathy’s autoresearch, I ran Codex /goal with this setup: pick an experiment, try it, record the results to a doc, throw it out if it fails, and plan the next experiment without repeating failures. I gave a few examples that had to pass, tight latency targets, and let it run. Sol did some amazing things. First, it scanned benchmarks and shortlisted base models: Qwen 3.5, Gemma 4, Liquid LFM 2.5. It found a dataset on HuggingFace for typed text. Then it built a simulator for fingers striking a Mac keyboard, modeling the physical layout with a Gaussian distribution around each key. It simulated striking the wrong key, wrong order, fat-fingering, etc. With the models + data + simulator, it fine-tuned using MLX right on my MacBook. It had a working prototype within an hour! But accuracy was pretty poor. — Problem 1: Tokenization Sol read papers, ran tests, and identified that the tokenizer was the bottleneck. Tokenization makes typos hard for the model to see, so it memorizes mappings instead of using its language priors. Sol tried ByT5, Google’s tokenizer-free byte-level LLM. This made a big improvement, but the model is old and lacked the knowledge needed to reach Sol performance. Sol dug deeper and realized a tokenizer-free model isn’t needed; instead, it used T5Gemma, an encoder-decoder model. This can understand the input deeply before producing output, and furthermore, Sol could post-train the encoder to improve performance. This gave a much higher ceiling. — Problem 2: Loss function Now the model was correcting some typos perfectly, but ignoring most. Sol realized that standard cross-entropy loss was teaching the model to avoid edits, because the vast majority of characters in the training data were left unmodified. The fix was wild: Sol wrote a custom loss function that byte-aligns the source and target strings, uses a dynamic programming algorithm to compute the minimum edits between the two, then weights correct edits much higher than copies. After a lot of tuning, this dramatically improved accuracy. — Problem 3: Autoregression One failure mode remained: if the model made a mistake, it couldn’t backtrack. It could only predict the next token. Teaching it to “think” like a reasoning model would solve this, but would be far too slow. Sol found a beautiful solution: instead of greedily predicting the next token, beam search over all possibilities. This parallelizes the exploration instead of one linear chain-of-thought. At the end, choose the path with highest cumulative log probability. This worked great, but made the experience worse, since the user wouldn’t see progress until the whole search was done. To fix this, Sol made a clever observation: after each search step, the longest common prefix among surviving branches is guaranteed to appear in the final result, so it can be displayed immediately. As the search progresses, weaker paths are dropped and the prefix grows, so the user sees continuous progress. Sol built all this as a custom MLX pipeline that does the parallel decoding on the MacBook GPU, with just ~40ms TTFT. It’s crazy fast and entirely local. — Final eval (error reduction rate, higher is better): - Apple autocorrect: 49.66% - GPT-5.6 Luna: 82.47% - GPT-5.6 Terra: 87.64% - GPT-5.6 Sol: 90.56% - Our model (1.7B): 91.02% Final cost: - 1 quota reset (thanks Tibo) - $0 (And yes, I verified there's no cheating. In fact, we test words scrubbed from the training data to prove the model isn’t memorizing) There were a ton more details and tangents I could write about: contrastive learning, GRPO, DPO, dynamic masking, and more. Sol is a fascinating and creative model. It blew my mind so many times. Don’t let a lack of experience stop you: Sol makes AI experiments accessible to anyone!
0:12

This is my "feel the AGI" moment: I used GPT-5.6 Sol to train my own autocorrect model that outperforms GPT-5.6 Sol (wtf??) I have no ML background. I have no idea what I'm doing. I just kept pushing Sol until it spat out a SOTA model. And I spent $0. The motivation: Years of talking to AI have made me terrible at typing. Rather than fix my skill issue, I decided to throw more AI at it. My idea was: instead of autocorrect that interrupts my flow, I want to type fast with mistakes and have AI clean it up after. I wanted the smallest local model possible, for speed, for battery life, for science! So I decided to train my own. Inspired by Andrej Karpathy’s autoresearch, I ran Codex /goal with this setup: pick an experiment, try it, record the results to a doc, throw it out if it fails, and plan the next experiment without repeating failures. I gave a few examples that had to pass, tight latency targets, and let it run. Sol did some amazing things. First, it scanned benchmarks and shortlisted base models: Qwen 3.5, Gemma 4, Liquid LFM 2.5. It found a dataset on HuggingFace for typed text. Then it built a simulator for fingers striking a Mac keyboard, modeling the physical layout with a Gaussian distribution around each key. It simulated striking the wrong key, wrong order, fat-fingering, etc. With the models + data + simulator, it fine-tuned using MLX right on my MacBook. It had a working prototype within an hour! But accuracy was pretty poor. — Problem 1: Tokenization Sol read papers, ran tests, and identified that the tokenizer was the bottleneck. Tokenization makes typos hard for the model to see, so it memorizes mappings instead of using its language priors. Sol tried ByT5, Google’s tokenizer-free byte-level LLM. This made a big improvement, but the model is old and lacked the knowledge needed to reach Sol performance. Sol dug deeper and realized a tokenizer-free model isn’t needed; instead, it used T5Gemma, an encoder-decoder model. This can understand the input deeply before producing output, and furthermore, Sol could post-train the encoder to improve performance. This gave a much higher ceiling. — Problem 2: Loss function Now the model was correcting some typos perfectly, but ignoring most. Sol realized that standard cross-entropy loss was teaching the model to avoid edits, because the vast majority of characters in the training data were left unmodified. The fix was wild: Sol wrote a custom loss function that byte-aligns the source and target strings, uses a dynamic programming algorithm to compute the minimum edits between the two, then weights correct edits much higher than copies. After a lot of tuning, this dramatically improved accuracy. — Problem 3: Autoregression One failure mode remained: if the model made a mistake, it couldn’t backtrack. It could only predict the next token. Teaching it to “think” like a reasoning model would solve this, but would be far too slow. Sol found a beautiful solution: instead of greedily predicting the next token, beam search over all possibilities. This parallelizes the exploration instead of one linear chain-of-thought. At the end, choose the path with highest cumulative log probability. This worked great, but made the experience worse, since the user wouldn’t see progress until the whole search was done. To fix this, Sol made a clever observation: after each search step, the longest common prefix among surviving branches is guaranteed to appear in the final result, so it can be displayed immediately. As the search progresses, weaker paths are dropped and the prefix grows, so the user sees continuous progress. Sol built all this as a custom MLX pipeline that does the parallel decoding on the MacBook GPU, with just ~40ms TTFT. It’s crazy fast and entirely local. — Final eval (error reduction rate, higher is better): - Apple autocorrect: 49.66% - GPT-5.6 Luna: 82.47% - GPT-5.6 Terra: 87.64% - GPT-5.6 Sol: 90.56% - Our model (1.7B): 91.02% Final cost: - 1 quota reset (thanks Tibo) - $0 (And yes, I verified there's no cheating. In fact, we test words scrubbed from the training data to prove the model isn’t memorizing) There were a ton more details and tangents I could write about: contrastive learning, GRPO, DPO, dynamic masking, and more. Sol is a fascinating and creative model. It blew my mind so many times. Don’t let a lack of experience stop you: Sol makes AI experiments accessible to anyone!

Anshu

178,712 次观看 • 29 天前

Ending 2025 Take On The U.S. Economy…And An Apology From The Bottom Of My Heart For My Realistic Yet Pessimistic Takes On The State Of The Economy…. As 2025 ends, the U.S. economy still looks solid at the surface. Stocks are higher. GDP prints are strong. Unemployment remains low by historical standards. But once you step back and connect households, labor, credit, and real world activity, the picture becomes more fragile. This isn’t an economy in freefall. But it is one being carried by a shrinking set of supports while pressure builds underneath. Growth and Markets: Real Numbers, Narrow Support Real GDP grew at a 4.3% annualized pace in Q3, the strongest in two years, driven mainly by consumer spending (+3.5%) and exports (+8.8%). On paper, that looks like acceleration. The issue is what kind of spending is doing the work. Roughly 70% of GDP is consumption, and an increasing share reflects non discretionary or imputed costs, not confidence. Healthcare alone accounts for 17% of PCE, running near $3.6T annualized. That lifts GDP, but it says more about rising mandatory expenses than broad consumer strength. Markets told a different story. The S&P 500 gained 17–19%, the Nasdaq 21%, and the Dow 11%, powered by AI optimism and expectations of easier Fed policy. Asset prices moved ahead. Household reality did not. Labor and Sentiment: Cooling Is Becoming Visible The labor market is no longer tightening. Unemployment rose to 4.6% in November, up from 4.1% in January, with just 64,000 jobs added. Underemployment (U-6) climbed to 8.7%. Layoffs reached 1.17 million through November, up 54% year over year, concentrated in tech, healthcare, and industrials. Consumer sentiment reflects that shift. The University of Michigan index ended December at 52.9, nearly 30% lower YoY, while the Conference Board index fell to 89.1, its fifth straight monthly decline. Household Stress Is Broadening Debt pressure is spreading across categories… • Credit card delinquencies: 12.4%, exceeding 20% in lower income areas • Auto loans: 5.02%, a 15 year high • Student loans: 9.4%, rising sharply after repayment resumed • Mortgages: 3.76%, with FHA near 10.8% Bankruptcies are rising alongside it. Filings are up 8–10% YoY, with 717 large corporate cases, the highest since 2010. Individual filings rose 8%, with roughly 41,000 in November alone. CRE, Trade, and the Physical Economy Commercial real estate remains a pressure point. Office vacancy rates sit near 19%, well above long term norms. Industrial vacancies have edged higher, while retail remains comparatively tight. Trade policy added another layer of strain in 2025. Average tariffs moved above 15%, including 50% on steel and aluminum and 35% on Canadian goods complicating supply chains. Trucking: A Quiet Signal Freight continues to confirm the slowdown in goods demand. Truck tonnage rose just 0.2% in November, but remains down nearly 7% YoY. Spot rates are lower, and load postings are down 15–22%, pointing to soft volumes and ongoing capacity adjustment. Overall The U.S. economy is increasingly unbalanced. Growth is being padded by non discretionary spending, markets are running ahead of household fundamentals, labor is cooling, and credit stress is spreading. This is the late cycle phase where momentum fades quietly, long before the data forces a name onto it.
0:10

Ending 2025 Take On The U.S. Economy…And An Apology From The Bottom Of My Heart For My Realistic Yet Pessimistic Takes On The State Of The Economy…. As 2025 ends, the U.S. economy still looks solid at the surface. Stocks are higher. GDP prints are strong. Unemployment remains low by historical standards. But once you step back and connect households, labor, credit, and real world activity, the picture becomes more fragile. This isn’t an economy in freefall. But it is one being carried by a shrinking set of supports while pressure builds underneath. Growth and Markets: Real Numbers, Narrow Support Real GDP grew at a 4.3% annualized pace in Q3, the strongest in two years, driven mainly by consumer spending (+3.5%) and exports (+8.8%). On paper, that looks like acceleration. The issue is what kind of spending is doing the work. Roughly 70% of GDP is consumption, and an increasing share reflects non discretionary or imputed costs, not confidence. Healthcare alone accounts for 17% of PCE, running near $3.6T annualized. That lifts GDP, but it says more about rising mandatory expenses than broad consumer strength. Markets told a different story. The S&P 500 gained 17–19%, the Nasdaq 21%, and the Dow 11%, powered by AI optimism and expectations of easier Fed policy. Asset prices moved ahead. Household reality did not. Labor and Sentiment: Cooling Is Becoming Visible The labor market is no longer tightening. Unemployment rose to 4.6% in November, up from 4.1% in January, with just 64,000 jobs added. Underemployment (U-6) climbed to 8.7%. Layoffs reached 1.17 million through November, up 54% year over year, concentrated in tech, healthcare, and industrials. Consumer sentiment reflects that shift. The University of Michigan index ended December at 52.9, nearly 30% lower YoY, while the Conference Board index fell to 89.1, its fifth straight monthly decline. Household Stress Is Broadening Debt pressure is spreading across categories… • Credit card delinquencies: 12.4%, exceeding 20% in lower income areas • Auto loans: 5.02%, a 15 year high • Student loans: 9.4%, rising sharply after repayment resumed • Mortgages: 3.76%, with FHA near 10.8% Bankruptcies are rising alongside it. Filings are up 8–10% YoY, with 717 large corporate cases, the highest since 2010. Individual filings rose 8%, with roughly 41,000 in November alone. CRE, Trade, and the Physical Economy Commercial real estate remains a pressure point. Office vacancy rates sit near 19%, well above long term norms. Industrial vacancies have edged higher, while retail remains comparatively tight. Trade policy added another layer of strain in 2025. Average tariffs moved above 15%, including 50% on steel and aluminum and 35% on Canadian goods complicating supply chains. Trucking: A Quiet Signal Freight continues to confirm the slowdown in goods demand. Truck tonnage rose just 0.2% in November, but remains down nearly 7% YoY. Spot rates are lower, and load postings are down 15–22%, pointing to soft volumes and ongoing capacity adjustment. Overall The U.S. economy is increasingly unbalanced. Growth is being padded by non discretionary spending, markets are running ahead of household fundamentals, labor is cooling, and credit stress is spreading. This is the late cycle phase where momentum fades quietly, long before the data forces a name onto it.

EndGame Macro

33,011 次观看 • 7 个月前

A 17 year old high schooler told his mom he needed a Steam Deck for school. She said no, it's a gaming console. He said it runs Linux. She didn't know what that means. Bought it for his birthday. $280. He never installed a single game on it. Opened the terminal, installed Claude Code and typed his first command while holding the device like a PlayStation controller. Thumbsticks on both sides. Code editor in the middle. The most ridiculous dev setup anyone has ever seen. At second 0:09 you can read what he typed into the terminal: claude your code looks like absolute shit Claude didn't argue. Just started rewriting the shader, adding bloom effects, fixing chromatic aberration and improving the particle system. On a gaming console held in two hands on a couch. His friends play Fortnite on their Steam Decks. He builds software on his while lying in bed. He set up Claude Code with custom skills, hooks that auto run tests every time a file is saved and memory that remembers every project across sessions. The stuff most developers pay $200 a month for and use at maybe 20% capacity. He runs it on a $280 handheld and squeezes out every feature. Within three weeks he had built and sold four small apps to local businesses. A booking page for a barber shop, an inventory tracker for a vape store, a menu site for a taco truck and a scheduling tool for a dog groomer. All built on a Steam Deck in his bedroom. All coded by Claude while he gave instructions with his thumbs. Made over $13,000 in his first month. His mom still thinks he plays games on it. His teacher caught him using it during study hall. Looked at the screen expecting a game. Saw green code scrolling and Claude asking: Do you want to make this edit to main.js ? Teacher had no idea what she was looking at. Told him to put it away. He closed the lid. Claude kept running inside. A $280 gaming console that his mom bought thinking it was a toy is now a development workstation that earns more per month than her car payment. Setup time: 20 minutes once. Time he saves every day: 3 to 5 hours. Money made in month one: $13,000. Games installed: zero. His grandpa asked him to install FIFA last weekend. He said the console is busy. Grandpa asked doing what. He said working. Grandpa didn't ask again.
0:10

A 17 year old high schooler told his mom he needed a Steam Deck for school. She said no, it's a gaming console. He said it runs Linux. She didn't know what that means. Bought it for his birthday. $280. He never installed a single game on it. Opened the terminal, installed Claude Code and typed his first command while holding the device like a PlayStation controller. Thumbsticks on both sides. Code editor in the middle. The most ridiculous dev setup anyone has ever seen. At second 0:09 you can read what he typed into the terminal: claude your code looks like absolute shit Claude didn't argue. Just started rewriting the shader, adding bloom effects, fixing chromatic aberration and improving the particle system. On a gaming console held in two hands on a couch. His friends play Fortnite on their Steam Decks. He builds software on his while lying in bed. He set up Claude Code with custom skills, hooks that auto run tests every time a file is saved and memory that remembers every project across sessions. The stuff most developers pay $200 a month for and use at maybe 20% capacity. He runs it on a $280 handheld and squeezes out every feature. Within three weeks he had built and sold four small apps to local businesses. A booking page for a barber shop, an inventory tracker for a vape store, a menu site for a taco truck and a scheduling tool for a dog groomer. All built on a Steam Deck in his bedroom. All coded by Claude while he gave instructions with his thumbs. Made over $13,000 in his first month. His mom still thinks he plays games on it. His teacher caught him using it during study hall. Looked at the screen expecting a game. Saw green code scrolling and Claude asking: Do you want to make this edit to main.js ? Teacher had no idea what she was looking at. Told him to put it away. He closed the lid. Claude kept running inside. A $280 gaming console that his mom bought thinking it was a toy is now a development workstation that earns more per month than her car payment. Setup time: 20 minutes once. Time he saves every day: 3 to 5 hours. Money made in month one: $13,000. Games installed: zero. His grandpa asked him to install FIFA last weekend. He said the console is busy. Grandpa asked doing what. He said working. Grandpa didn't ask again.

Marlow

3,237,526 次观看 • 3 个月前