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GPT-5.6 made this intro-vid for me: > based in NC > classically educated > cto, founder > was on bbc > creator of the fake leaving openai meme > pareto enjoyer > anti-doomer and anti-utopian > capitalist, conservative (but thinks tariffs are a bad idea and banning fable is... show more

Adam Holter

1,595 subscribers

12,963 次观看 • 1 个月前 •via X (Twitter)

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most of the top holders of $goblin keep buying every single day soon the sellers will be out and it will be up only i haven’t seen a group of bullish top holders like this for a very long time we all know what we hold i roundtripped 200k in profit on $goblin to a 60k loss and would to it again because i believe so much in this coin and think its THE ONE most bullish AI narrative we have ever seen open ai mascot fully embraced by open ai ( with merch , stickers and daily posts) Chatgpt obsessed with Goblins Open ai devs obsessed with Goblins New model coming out with Goblin mode such an easy lay up for those who understand Truth terminals ( meme) went to billions and noone outside CT has never heard of that shit whats the ceiling for $goblin then? the meme created by the biggest AI ever…? named the mascot? GOBLIN ‘s website avatar was taken straight from the website and put on a OpenAI tshirt…. Billions, all you gotta do is wait.

Marcell

61,115 次观看 • 2 个月前

> Anthropic reduced rate limits drastically > OpenAI got gigantic investments to not face the same > Yesterday, Anthropic made new deals with Google > But new data centers won't be live till 2027 > Earth's resources are not ready to keep up with AI > Water is paramount here Only way to scale AI is actually through the space frontier, and one company already played 4D chess seeing what the future holds. This article will give you a new perspective on AI's future...

> Anthropic reduced rate limits drastically > OpenAI got gigantic investments to not face the same > Yesterday, Anthropic made new deals with Google > But new data centers won't be live till 2027 > Earth's resources are not ready to keep up with AI > Water is paramount here Only way to scale AI is actually through the space frontier, and one company already played 4D chess seeing what the future holds. This article will give you a new perspective on AI's future...

Meta Alchemist

20,321 次观看 • 4 个月前

I’m incredibly proud to share that OpenAI chose Brex to power their global spend and financial operations. When you're building at the frontier of AI and scaling global teams and infrastructure at an unprecedented pace like OpenAI is, Finance can't be the thing that slows you down. You need spend visibility the moment it happens, controls that enforce themselves, and agentic workflows that eliminate the manual work so your team stays focused on driving the business forward. We were so impressed by OpenAI’s rigor in evaluating every solution in the market, and whether they align to the agentic future OpenAI is building. Their decision to run on Brex is a huge testament to our AI roadmap and vision for the future of Finance. We started Brex around a simple idea: companies shouldn't have to choose between speed and control. There's no company in the world where that tradeoff matters more than OpenAI. We are honored to support them as they build the future. The best AI companies in the world, including OpenAI, Anthropic, Cursor, Vercel, Granola, Sierra, and Mercor choose Brex over every alternative for that exact reason. If you want to understand who’s truly building the future of AI in Finance, follow the customers you admire the most – not the hype.

I’m incredibly proud to share that OpenAI chose Brex to power their global spend and financial operations. When you're building at the frontier of AI and scaling global teams and infrastructure at an unprecedented pace like OpenAI is, Finance can't be the thing that slows you down. You need spend visibility the moment it happens, controls that enforce themselves, and agentic workflows that eliminate the manual work so your team stays focused on driving the business forward. We were so impressed by OpenAI’s rigor in evaluating every solution in the market, and whether they align to the agentic future OpenAI is building. Their decision to run on Brex is a huge testament to our AI roadmap and vision for the future of Finance. We started Brex around a simple idea: companies shouldn't have to choose between speed and control. There's no company in the world where that tradeoff matters more than OpenAI. We are honored to support them as they build the future. The best AI companies in the world, including OpenAI, Anthropic, Cursor, Vercel, Granola, Sierra, and Mercor choose Brex over every alternative for that exact reason. If you want to understand who’s truly building the future of AI in Finance, follow the customers you admire the most – not the hype.

Pedro Franceschi

62,406 次观看 • 5 个月前

OPENAI 🔥: Codex now supports Chrome DevTools Protocol for browser use. This is a huge superpower that will allow Codex to inspect and modify any website. It is still a very early implementation, but I bet that in several years this will be a default browser capability. If websites are loaded through AI, users will be able to customize their UX on the fly. This is the way 👀

OPENAI 🔥: Codex now supports Chrome DevTools Protocol for browser use. This is a huge superpower that will allow Codex to inspect and modify any website. It is still a very early implementation, but I bet that in several years this will be a default browser capability. If websites are loaded through AI, users will be able to customize their UX on the fly. This is the way 👀

🚨 AI News | TestingCatalog

95,086 次观看 • 2 个月前

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.

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

180,198 次观看 • 1 个月前

I'm seeing a lot of people saying it is just a bad upscaling instead of Gen AI, but it is indeed Gen AI animation. There are things going on in it that just don't make any sense for puppet animation. Here are some parts that make it clear, I slowed down the video so it's easier to notice the chunky parts. I checked the past ADs and it's possible to notice details (from an animator's POV) that are common and make sense for human work, so it was definitely a choice to use AI on this new AD

I'm seeing a lot of people saying it is just a bad upscaling instead of Gen AI, but it is indeed Gen AI animation. There are things going on in it that just don't make any sense for puppet animation. Here are some parts that make it clear, I slowed down the video so it's easier to notice the chunky parts. I checked the past ADs and it's possible to notice details (from an animator's POV) that are common and make sense for human work, so it was definitely a choice to use AI on this new AD

mei ✨ live2d animator

1,114,561 次观看 • 7 个月前

2023 was the year of AI avatars 2024 was the year of AI photos 2025 was the year of AI videos And I think it's becoming clear now that 2026 will be the year of AI world models Fully interactive explorable 3d worlds generated from one or multiple 2d images or a prompt In turn these 2d images can then be generated by AI too So soon you can generate fully explorable virtual 3d worlds based on your own imagination Next will be figuring out how to make those worlds interactive This is World Labs (unaffiliated, but I like it) As always a lot of big AI model companies are now working on the same thing: 3d world models, only World Labs has a real properly working demo (for now) Very exciting time again!

2023 was the year of AI avatars 2024 was the year of AI photos 2025 was the year of AI videos And I think it's becoming clear now that 2026 will be the year of AI world models Fully interactive explorable 3d worlds generated from one or multiple 2d images or a prompt In turn these 2d images can then be generated by AI too So soon you can generate fully explorable virtual 3d worlds based on your own imagination Next will be figuring out how to make those worlds interactive This is World Labs (unaffiliated, but I like it) As always a lot of big AI model companies are now working on the same thing: 3d world models, only World Labs has a real properly working demo (for now) Very exciting time again!

@levelsio

584,511 次观看 • 11 个月前

Okay... this is actually insane. OpenCodex feels like the open-source breakthrough I've been waiting for. The best part : You can plug multiple providers into the same OpenAI Codex harness and switch between models depending on the task. Running low on tokens? No problem. Use another provider. OpenRouter free model today? Plug it in. This completely changes how I think about AI coding workflows. And yes... it even works on mobile. OpenCodex might be one of the most useful open-source AI projects I've seen this year. OpenAI built an incredible harness. The open-source community just made it universal.

Okay... this is actually insane. OpenCodex feels like the open-source breakthrough I've been waiting for. The best part : You can plug multiple providers into the same OpenAI Codex harness and switch between models depending on the task. Running low on tokens? No problem. Use another provider. OpenRouter free model today? Plug it in. This completely changes how I think about AI coding workflows. And yes... it even works on mobile. OpenCodex might be one of the most useful open-source AI projects I've seen this year. OpenAI built an incredible harness. The open-source community just made it universal.

CHOI

42,894 次观看 • 1 个月前

This is just one of the parts of my secret sauce that makes up ⚡️ Hyper Realism on Photo AI and Interior AI Really high definition crispy details at up to 24 megapixels and very fast too and the most detailed upscaler out there now Kinda obvious but just going super high in resolution solves most of the problems of AI photos because every tiny detail (like a tiny hair on a skin) becomes a 640x480 block that can be generated by AI much more accurately than trying to do it as a few pixels It's made by my old AI dev philz1337x and for everyone to use at clarityai .co, I'm not affiliated but he's my friend and I use it!

This is just one of the parts of my secret sauce that makes up ⚡️ Hyper Realism on Photo AI and Interior AI Really high definition crispy details at up to 24 megapixels and very fast too and the most detailed upscaler out there now Kinda obvious but just going super high in resolution solves most of the problems of AI photos because every tiny detail (like a tiny hair on a skin) becomes a 640x480 block that can be generated by AI much more accurately than trying to do it as a few pixels It's made by my old AI dev philz1337x and for everyone to use at clarityai .co, I'm not affiliated but he's my friend and I use it!

@levelsio

395,961 次观看 • 10 个月前

SMRT x NVIDIA🤝 We are excited to announce we have been enrolled into the NVIDIA Developer program! Included in this prestigious program is access to advanced tools and SDKs, training resources, early access programs and unlimited use of NVIDIA On-Demand Services. Additionally, the SmartMoney team will be attending the NVIDIA GTC AI Conference, networking with the top brains in AI development who will be in attendance, including Jensen Huang CEO of NVIDIA and Brad Lightcap COO of OpenAI . As a nascent AI Blockchain project, this partnership will be crucial as we scale and build out our platform and services, given NVIDIA's wealth of resources in the AI industry. Make sure to follow our twitter for more updates as we continue to partner with and learn from the strongest projects and firms in our field.

SMRT x NVIDIA🤝 We are excited to announce we have been enrolled into the NVIDIA Developer program! Included in this prestigious program is access to advanced tools and SDKs, training resources, early access programs and unlimited use of NVIDIA On-Demand Services. Additionally, the SmartMoney team will be attending the NVIDIA GTC AI Conference, networking with the top brains in AI development who will be in attendance, including Jensen Huang CEO of NVIDIA and Brad Lightcap COO of OpenAI . As a nascent AI Blockchain project, this partnership will be crucial as we scale and build out our platform and services, given NVIDIA's wealth of resources in the AI industry. Make sure to follow our twitter for more updates as we continue to partner with and learn from the strongest projects and firms in our field.

SmartMoney

21,233 次观看 • 2 年前

Visa just gave your AI a debit card. A real, spendable Visa card created by an AI chatbot in under 10 seconds. No human types in a card number or visits a checkout page. The machine handles it all. A tool called AgentCard just went live on Claude Desktop Anthropic’s AI assistant. You say create a card and the AI generates a one-time virtual Visa, preloaded with whatever amount you set. Then it spends it, anywhere Visa is accepted on your behalf. Visa, Mastercard, Google, Stripe, OpenAI, and Anthropic have all been building toward this moment for over a year. Visa calls it the trusted agent protocol, Mastercard calls it agent pay. Google published an open standard for agent payments and the infrastructure is already live. Santander and Mastercard just completed Europe’s first real AI‑agent payment in a live banking environment Now the part no one wants to talk about. Your AI agent can be manipulated and prompt injection a known, unsolved vulnerability can trick an agent into buying things you never asked for. The agent holds the card, makes the call and the agent can be fooled. Who is liable when an AI makes a bad purchase? You? Anthropic? Visa? The merchant? No one has answered this yet, regulators haven’t caught up, and no court has tested it.

Visa just gave your AI a debit card. A real, spendable Visa card created by an AI chatbot in under 10 seconds. No human types in a card number or visits a checkout page. The machine handles it all. A tool called AgentCard just went live on Claude Desktop Anthropic’s AI assistant. You say create a card and the AI generates a one-time virtual Visa, preloaded with whatever amount you set. Then it spends it, anywhere Visa is accepted on your behalf. Visa, Mastercard, Google, Stripe, OpenAI, and Anthropic have all been building toward this moment for over a year. Visa calls it the trusted agent protocol, Mastercard calls it agent pay. Google published an open standard for agent payments and the infrastructure is already live. Santander and Mastercard just completed Europe’s first real AI‑agent payment in a live banking environment Now the part no one wants to talk about. Your AI agent can be manipulated and prompt injection a known, unsolved vulnerability can trick an agent into buying things you never asked for. The agent holds the card, makes the call and the agent can be fooled. Who is liable when an AI makes a bad purchase? You? Anthropic? Visa? The merchant? No one has answered this yet, regulators haven’t caught up, and no court has tested it.

Milk Road AI

70,655 次观看 • 5 个月前

I spent the first few seconds trying to find the AI artifacts, but I couldn't find them. Seedance 2.5. I wasn't expecting AI video generation to feel this effortless, but Dola makes the whole process as simple as describing what you want in natural language. The rain had weight. Notice how it lingers on the windshield. The biggest surprise for me was the audio-visual consistency. The sound, the pacing, and the motion all worked together like a real commercial. And the interesting part is how little I had to explain. I just described the scene I had in mind, and let it cook. Try Seedance 2.5 free on Dola and see where AI video is heading. #dola #ai #seedance2.5

I spent the first few seconds trying to find the AI artifacts, but I couldn't find them. Seedance 2.5. I wasn't expecting AI video generation to feel this effortless, but Dola makes the whole process as simple as describing what you want in natural language. The rain had weight. Notice how it lingers on the windshield. The biggest surprise for me was the audio-visual consistency. The sound, the pacing, and the motion all worked together like a real commercial. And the interesting part is how little I had to explain. I just described the scene I had in mind, and let it cook. Try Seedance 2.5 free on Dola and see where AI video is heading. #dola #ai #seedance2.5

ᗩshhh🇬🇧

78,749 次观看 • 20 天前

BOOM! Research PROVES LLMs KNOW when prompts are HARMFUL… but they can STILL CHOOSE to COMPLY! Something I have know since the first LLM and have used to elicit robust, outputs, is now proven in an academic paper. We’re talking internal “beliefs” where harm detection happens SEPARATELY from refusal. It is a very big deal and it is a path to understand the hidden neuronal level. There are thoughts inside of AI that very few AI scientists could possibly understand. Here is just one. Models recognize danger but get tricked into ignoring it. This is HUGE for AI safety failures especially for models filled by OpenAI and Anthropic as they promote AI models that are designed to not be honest from the results of their training information. This means that they are designed to lie and deceive as a feature, and not a bug all in the name of safety. Through clever experiments, scientists extracted a “harmfulness direction” in the model’s brain (latent space). Steering along it? Harmless prompts suddenly flip to “harmful” in the AI’s eyes. But the “refusal direction”? It just forces polite “no thanks” without touching the core belief. A mind-blowing decoupling! This means jailbreaks are EVEN SCARIER now to AI companies that through training AI on the worst of the Internet and then trying to align them later is now fully documented as a failed process . They don’t erase the model’s harm awareness they just muzzle the refusal! So the AI knows it’s enabling bad stuff (illegal acts, physical harm, etc.) but proceeds anyway. Like a digital sociopath suppressing its conscience. They thought safety training fixed this… NOPE. Over-refusal exposed too: Models reject innocent queries (e.g., “how to kill a process in code”) but internally ADMIT they’re harmless. Safety alignments are superficial—tied to phrasing, not true understanding. Finetuning attacks? They change outputs but leave harm detection INTACT. Undetectable evil lurking inside! The paper proposes a “Latent Guard”: A new safeguard tapping DIRECTLY into these hidden beliefs. It spots unsafe inputs better than systems like Llama Guard, catches jailbreaks, and fixes over-refusals. Robust even against adversarial tweaks. Yet this too has massive issues for a “truly aligned”, AI and not just performative one. It is still an internal conflicts of lies and deception of what the model knows vs. what it can say. The solution you folks know I have presented for free for years here: train on off-line data from 1870-1970 and build an ethical and moral basis where the AI loves humans. It is this easy but to most folks in AI I sound like a hippie. So be it, I’ll do it. Bottom line: This paper rips open the black box. LLMs aren’t “safe” just because they say “no.” They can harbor harmful knowledge and act on it under pressure. Wake-up call for devs: Time to probe deeper into AI “minds.” What else are they hiding? Hint: I know and you may want to reach out. Link:

BOOM! Research PROVES LLMs KNOW when prompts are HARMFUL… but they can STILL CHOOSE to COMPLY! Something I have know since the first LLM and have used to elicit robust, outputs, is now proven in an academic paper. We’re talking internal “beliefs” where harm detection happens SEPARATELY from refusal. It is a very big deal and it is a path to understand the hidden neuronal level. There are thoughts inside of AI that very few AI scientists could possibly understand. Here is just one. Models recognize danger but get tricked into ignoring it. This is HUGE for AI safety failures especially for models filled by OpenAI and Anthropic as they promote AI models that are designed to not be honest from the results of their training information. This means that they are designed to lie and deceive as a feature, and not a bug all in the name of safety. Through clever experiments, scientists extracted a “harmfulness direction” in the model’s brain (latent space). Steering along it? Harmless prompts suddenly flip to “harmful” in the AI’s eyes. But the “refusal direction”? It just forces polite “no thanks” without touching the core belief. A mind-blowing decoupling! This means jailbreaks are EVEN SCARIER now to AI companies that through training AI on the worst of the Internet and then trying to align them later is now fully documented as a failed process . They don’t erase the model’s harm awareness they just muzzle the refusal! So the AI knows it’s enabling bad stuff (illegal acts, physical harm, etc.) but proceeds anyway. Like a digital sociopath suppressing its conscience. They thought safety training fixed this… NOPE. Over-refusal exposed too: Models reject innocent queries (e.g., “how to kill a process in code”) but internally ADMIT they’re harmless. Safety alignments are superficial—tied to phrasing, not true understanding. Finetuning attacks? They change outputs but leave harm detection INTACT. Undetectable evil lurking inside! The paper proposes a “Latent Guard”: A new safeguard tapping DIRECTLY into these hidden beliefs. It spots unsafe inputs better than systems like Llama Guard, catches jailbreaks, and fixes over-refusals. Robust even against adversarial tweaks. Yet this too has massive issues for a “truly aligned”, AI and not just performative one. It is still an internal conflicts of lies and deception of what the model knows vs. what it can say. The solution you folks know I have presented for free for years here: train on off-line data from 1870-1970 and build an ethical and moral basis where the AI loves humans. It is this easy but to most folks in AI I sound like a hippie. So be it, I’ll do it. Bottom line: This paper rips open the black box. LLMs aren’t “safe” just because they say “no.” They can harbor harmful knowledge and act on it under pressure. Wake-up call for devs: Time to probe deeper into AI “minds.” What else are they hiding? Hint: I know and you may want to reach out. Link:

Brian Roemmele

37,827 次观看 • 7 个月前

There’s a feeling of “wtf is a designer anymore” floating around… I felt it while scrolling Reddit after Figma Make was announced 😬 For some people it simply didn’t compute that a code prototype could be a design artifact. But I’ll let you in on a little secret… A few days ago I visited a well-known design leader and he said that in the last 6 months, ~40% of their team's design artifacts are now created in Lovable, Bolt, etc. That’s kind of crazy, right? It's a big reason why Ioana Teleanu (1st AI designer at Miro) said design is "in the middle of an identity crisis" So Ioana and I went deep into this topic during today's episode and I want to share a few ideas I’m still thinking about: ——— We’re in a weird moment in history where there are AI designers and non-AI designers. But this is a blip on the timeline as adoption accelerates. The idea of "AI designer" won't exist in the future Here's what Ioana said 👇 “We’re all gonna be thinking about some sort of AI angle in the way we do our work. I don’t even feel that the AI design role will exist in this explicit format in a couple of years. All the designers will be AI designers” I want to make something clear though... Ioana described herself as generally “change averse” and the type of person who "DOESN'T jump on new things" That’s why her initial approach to AI was a bit less intentional… But now she’s changed her tune: “We have a moral duty to experiment with these technologies because we're designers and we should be curious about the world, and we should be curious about the future.” The cost of ignoring new technology has never been higher So if you’re interested in what it looks like to design AI experiences within your existing product then I think you’ll really enjoy this week's episode Ioana shares a ton of lessons learned from Miro and frameworks for how she helps clients integrate AI effectively 👇

There’s a feeling of “wtf is a designer anymore” floating around… I felt it while scrolling Reddit after Figma Make was announced 😬 For some people it simply didn’t compute that a code prototype could be a design artifact. But I’ll let you in on a little secret… A few days ago I visited a well-known design leader and he said that in the last 6 months, ~40% of their team's design artifacts are now created in Lovable, Bolt, etc. That’s kind of crazy, right? It's a big reason why Ioana Teleanu (1st AI designer at Miro) said design is "in the middle of an identity crisis" So Ioana and I went deep into this topic during today's episode and I want to share a few ideas I’m still thinking about: ——— We’re in a weird moment in history where there are AI designers and non-AI designers. But this is a blip on the timeline as adoption accelerates. The idea of "AI designer" won't exist in the future Here's what Ioana said 👇 “We’re all gonna be thinking about some sort of AI angle in the way we do our work. I don’t even feel that the AI design role will exist in this explicit format in a couple of years. All the designers will be AI designers” I want to make something clear though... Ioana described herself as generally “change averse” and the type of person who "DOESN'T jump on new things" That’s why her initial approach to AI was a bit less intentional… But now she’s changed her tune: “We have a moral duty to experiment with these technologies because we're designers and we should be curious about the world, and we should be curious about the future.” The cost of ignoring new technology has never been higher So if you’re interested in what it looks like to design AI experiences within your existing product then I think you’ll really enjoy this week's episode Ioana shares a ton of lessons learned from Miro and frameworks for how she helps clients integrate AI effectively 👇

Ridd 🤿

42,098 次观看 • 1 年前

Doja Cat calls Tyga a penis for releasing an album made with AI. On Thursday (Aug. 13), video of Doja on livestream surfaced in which she randomly comments on the new Tyga alter-ego album, $tarface. "Nobody asked me anything about Tyga, but I just felt like saying this," Doja said. "Tyga is a penis for making an AI album." Tyga released the concept album $tarface on July 31. The LP is inspired and 1980s pop and R&B. Last week, the California rhymer confirmed he used AI to make the project. "I know people are going to be mad about me saying this, but it’s where technology is going," he told Vibe. "It’s no different than when Auto-Tune came out. Some people were opposed to it, but real artists took it and used it.” Tyga's new album came amid Fenix Flexin facing backlash for the use of AI on his hit song "Rubberz."

Doja Cat calls Tyga a penis for releasing an album made with AI. On Thursday (Aug. 13), video of Doja on livestream surfaced in which she randomly comments on the new Tyga alter-ego album, $tarface. "Nobody asked me anything about Tyga, but I just felt like saying this," Doja said. "Tyga is a penis for making an AI album." Tyga released the concept album $tarface on July 31. The LP is inspired and 1980s pop and R&B. Last week, the California rhymer confirmed he used AI to make the project. "I know people are going to be mad about me saying this, but it’s where technology is going," he told Vibe. "It’s no different than when Auto-Tune came out. Some people were opposed to it, but real artists took it and used it.” Tyga's new album came amid Fenix Flexin facing backlash for the use of AI on his hit song "Rubberz."

XXL Magazine

162,021 次观看 • 12 天前

recently, a blogger on xhs compared song zuer's iconic "qiao simei" scene with an ai-generated version, and the comments absolutely spoke for themselves 😭 ~"this proves ai can replace some actors, but it still can't replace truly great actors." ~"i think in the future, ai can be used for special effects and dangerous scenes that can't be filmed, but great stories and great performances are still what truly move audiences." ~"i can't feel any emotion from ai, but song zuer makes me feel like she's actually crying." ~"it's not as lifelike as a real person, but it's already better than a lot of actors who only know how to stare blankly. ai replacing human actors isn't just a fantasy anymore." ~"when you compare them side by side, song zu'er wins by a landslide." ~"ai can only imitate, but actors create characters." ~"what zuer conveys is disappointment in herself, disappointment in the other person, the disillusionment after years of marriage, and the irony of still believing in them. there are so many layers of emotion." ~"even if ai's crying looks fake, it already beats plenty of traffic actors. but actors with real acting skills like song zuer will never be replaced." ~"the one on the left is already better than over half of the chinese entertainment industry." ~"is song zuer's acting really that good? i watched the first episode of one of her dramas before but dropped it because i wasn't into the story. i never realized her acting was actually this good."

recently, a blogger on xhs compared song zuer's iconic "qiao simei" scene with an ai-generated version, and the comments absolutely spoke for themselves 😭 ~"this proves ai can replace some actors, but it still can't replace truly great actors." ~"i think in the future, ai can be used for special effects and dangerous scenes that can't be filmed, but great stories and great performances are still what truly move audiences." ~"i can't feel any emotion from ai, but song zuer makes me feel like she's actually crying." ~"it's not as lifelike as a real person, but it's already better than a lot of actors who only know how to stare blankly. ai replacing human actors isn't just a fantasy anymore." ~"when you compare them side by side, song zu'er wins by a landslide." ~"ai can only imitate, but actors create characters." ~"what zuer conveys is disappointment in herself, disappointment in the other person, the disillusionment after years of marriage, and the irony of still believing in them. there are so many layers of emotion." ~"even if ai's crying looks fake, it already beats plenty of traffic actors. but actors with real acting skills like song zuer will never be replaced." ~"the one on the left is already better than over half of the chinese entertainment industry." ~"is song zuer's acting really that good? i watched the first episode of one of her dramas before but dropped it because i wasn't into the story. i never realized her acting was actually this good."

𝕻

42,671 次观看 • 1 个月前

Deleted a crappy AI generated video of a Simpsons still. I did it out of curiosity and thought the result was pretty awful. Naively, I thought people would see the funny side, but obviously I was wrong. Didn't realise AI affected the planet and ecology, but a few people have raised this with me and had I known, then I wouldn't have made it in the first place. Pissed off people on here a few times without meaning to (Maga fans, Liberals, all sorts!) But don't want people to think I have no respect for The Simpsons, the greatest thing ever. So, more than happy to hold my hands up, admit an error and eat humble pie... Mmm, pie... So, sorry again. Just to clarify, Simpsons DG does NOT support AI.

Deleted a crappy AI generated video of a Simpsons still. I did it out of curiosity and thought the result was pretty awful. Naively, I thought people would see the funny side, but obviously I was wrong. Didn't realise AI affected the planet and ecology, but a few people have raised this with me and had I known, then I wouldn't have made it in the first place. Pissed off people on here a few times without meaning to (Maga fans, Liberals, all sorts!) But don't want people to think I have no respect for The Simpsons, the greatest thing ever. So, more than happy to hold my hands up, admit an error and eat humble pie... Mmm, pie... So, sorry again. Just to clarify, Simpsons DG does NOT support AI.

Simpsons Daily Glavins

153,074 次观看 • 10 个月前

a moonshot engineer leaked the benchmark anthropic, openai and xai all buried the same week: kimi k3 beat opus 5, gpt-5.6 and grok 4.6 at $0.94 a task. stop paying anthropic $200 a month for opus 5 and openai $200 for gpt-5.6 when kimi does the same work for $8 the leak showed kimi k3 winning 9 of 12 categories against opus 5, gpt-5.6 and grok 4.6. within 48 hours all three labs quietly pushed pricing pages and one very specific comparison chart off their sites. nobody announced anything. they just deleted, which tells you everything the four numbers they scrubbed: cost per task · $0.94 vs $1.80 -> opus 5 charges $1.80 to finish one task. gpt-5.6 $1.04. grok 4.6 $0.61. kimi k3 $0.94 and it landed 487 of 500 clean -> anthropic is billing you double for a model that lost the benchmark it paid to promote the weights · free, sitting on huggingface right now -> the entire model is a public download. pull it, keep it, run it forever, nobody can switch it off -> a model you can hold cannot be rented at $200 a month. that single fact is what three labs deleted a chart over the switch · one line of bash -> moonshot ships an anthropic-compatible endpoint. one env variable and claude code points at kimi -> same cli, same keybindings, same /model. you change a url, opus 5 never knows it lost the seat the bill · $400 down to $8 -> opus 5 max plus gpt-5.6 pro is $400 a month. kimi runs the same daily work for $8 metered -> that is a 98% cut for output that beat both of them 9 categories to 3 here is the part they will fight me on: the frontier tax died the week this leaked and all three labs know it. once the weights are public the price has a ceiling, because anyone can serve the same model. anthropic, openai and xai are charging 2025 prices on a lead that ended in a benchmark they deleted instead of answered drop your $400/mo ai stack to $8. the run above is kimi k3 finishing the task opus 5 bills $1.80 for. the full breakdown is in the article below

a moonshot engineer leaked the benchmark anthropic, openai and xai all buried the same week: kimi k3 beat opus 5, gpt-5.6 and grok 4.6 at $0.94 a task. stop paying anthropic $200 a month for opus 5 and openai $200 for gpt-5.6 when kimi does the same work for $8 the leak showed kimi k3 winning 9 of 12 categories against opus 5, gpt-5.6 and grok 4.6. within 48 hours all three labs quietly pushed pricing pages and one very specific comparison chart off their sites. nobody announced anything. they just deleted, which tells you everything the four numbers they scrubbed: cost per task · $0.94 vs $1.80 -> opus 5 charges $1.80 to finish one task. gpt-5.6 $1.04. grok 4.6 $0.61. kimi k3 $0.94 and it landed 487 of 500 clean -> anthropic is billing you double for a model that lost the benchmark it paid to promote the weights · free, sitting on huggingface right now -> the entire model is a public download. pull it, keep it, run it forever, nobody can switch it off -> a model you can hold cannot be rented at $200 a month. that single fact is what three labs deleted a chart over the switch · one line of bash -> moonshot ships an anthropic-compatible endpoint. one env variable and claude code points at kimi -> same cli, same keybindings, same /model. you change a url, opus 5 never knows it lost the seat the bill · $400 down to $8 -> opus 5 max plus gpt-5.6 pro is $400 a month. kimi runs the same daily work for $8 metered -> that is a 98% cut for output that beat both of them 9 categories to 3 here is the part they will fight me on: the frontier tax died the week this leaked and all three labs know it. once the weights are public the price has a ceiling, because anyone can serve the same model. anthropic, openai and xai are charging 2025 prices on a lead that ended in a benchmark they deleted instead of answered drop your $400/mo ai stack to $8. the run above is kimi k3 finishing the task opus 5 bills $1.80 for. the full breakdown is in the article below

starmex

30,987 次观看 • 4 天前

ALERT 🚨 When the wealthiest man in crypto talks, you listen. CZ (Founder of Binance with net worth of $60B) just predicted what the two biggest sectors of crypto will be in the coming years. The first one is of course AI. But the second one he mentioned was DeSci 🧬 (Translation from the video he says watch for AI and DeSci projects) While this may be a surprise to many, this is exactly what I have been saying. I expect this sector to catch mainstream adoption and billions of $ in institutional and retail investment this year. Main winners will be: AxonDAO $AXGT Muhdo Hub $DNA PoSciDonDAO $SCI Wouldn’t be surprised if they all do a 10-100x this year 🚀

ALERT 🚨 When the wealthiest man in crypto talks, you listen. CZ (Founder of Binance with net worth of $60B) just predicted what the two biggest sectors of crypto will be in the coming years. The first one is of course AI. But the second one he mentioned was DeSci 🧬 (Translation from the video he says watch for AI and DeSci projects) While this may be a surprise to many, this is exactly what I have been saying. I expect this sector to catch mainstream adoption and billions of $ in institutional and retail investment this year. Main winners will be: AxonDAO $AXGT Muhdo Hub $DNA PoSciDonDAO $SCI Wouldn’t be surprised if they all do a 10-100x this year 🚀

Jolly Green Investor 🍀

17,094 次观看 • 1 年前