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Millions of users scroll through endless transaction feeds trying to answer simple questions about their money. That’s why we built Conversational Transaction Insights directly into PhonePe. When building Conversational Transaction Insights for PhonePe, we wanted to eliminate the friction of digging through statements or tweaking filters. You should be...

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Rahul Chari

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15,238 次观看 • 18 天前 •via X (Twitter)

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In light of today’s Bybit incident, here’s how we secure our technical Safe.eth multisig at Gearbox Protocol: Continuous monitoring Whenever a new transaction is submitted or an existing one is signed, we immediately receive a notification in our alert channel. This alert shows the transaction hash and who proposed and signed the transaction. Detailed transaction report The most significant feature is the transaction report. It contains parsed transaction call data in a human-readable format, allowing all signers to see actions that occur understandably, both in plain text and in bytecode. Deployment check and whitelisted external calls Whenever the system deploys a new contract or interacts with an existing one, it checks the bytecode and compares it with code in our GitHub repository. Thus, the system constantly recompiles and compares the bytecode with the audited version, providing us with detailed information such as source links, audit reports, etc. This is how we have built a robust system to filter and check all transactions before they go to the technical multisig and affect changes to the protocol.
1:44

In light of today’s Bybit incident, here’s how we secure our technical Safe.eth multisig at Gearbox Protocol: Continuous monitoring Whenever a new transaction is submitted or an existing one is signed, we immediately receive a notification in our alert channel. This alert shows the transaction hash and who proposed and signed the transaction. Detailed transaction report The most significant feature is the transaction report. It contains parsed transaction call data in a human-readable format, allowing all signers to see actions that occur understandably, both in plain text and in bytecode. Deployment check and whitelisted external calls Whenever the system deploys a new contract or interacts with an existing one, it checks the bytecode and compares it with code in our GitHub repository. Thus, the system constantly recompiles and compares the bytecode with the audited version, providing us with detailed information such as source links, audit reports, etc. This is how we have built a robust system to filter and check all transactions before they go to the technical multisig and affect changes to the protocol.

0xmikko.eth

17,986 次观看 • 1 年前

BlackRock CEO Larry Fink: Tokenization will change finance forever “There are slews of middleman in the financial services area. We have elongated settlement and elongated processes. If we could digitize every asset and have a more seamless way of going from a digital wallet of cash or a stablecoin into equities or bonds — through, in most categories, an ETF — it will reduce the friction cost and the transaction cost.” “There’s $4.1 trillion of money in digital wallets globally… Right now, if they wanted to go into a bond, stock, or make a real estate transaction, they’d have to move the money from a digital wallet to a traditional wallet, with all the commissions and fees [that entails]. The idea of tokenization of all assets, including real estate ultimately, is to just reduce huge friction costs and make investing easier and simpler. It’s going to allow for a more free-flowing process of investing.” In January, Larry Fink called for the usage of a single common blockchain to tokenize and secure all assets. Ethereum is the only real choice. Watch below 👇
1:59

BlackRock CEO Larry Fink: Tokenization will change finance forever “There are slews of middleman in the financial services area. We have elongated settlement and elongated processes. If we could digitize every asset and have a more seamless way of going from a digital wallet of cash or a stablecoin into equities or bonds — through, in most categories, an ETF — it will reduce the friction cost and the transaction cost.” “There’s $4.1 trillion of money in digital wallets globally… Right now, if they wanted to go into a bond, stock, or make a real estate transaction, they’d have to move the money from a digital wallet to a traditional wallet, with all the commissions and fees [that entails]. The idea of tokenization of all assets, including real estate ultimately, is to just reduce huge friction costs and make investing easier and simpler. It’s going to allow for a more free-flowing process of investing.” In January, Larry Fink called for the usage of a single common blockchain to tokenize and secure all assets. Ethereum is the only real choice. Watch below 👇

Etherealize

61,205 次观看 • 2 个月前

Really proud to announce that LI.​FI Earn is now live - a product I’ve been building with the team for months. There’s a clear demand for onchain yield strategies. And an even clearer need for a solution that unlocks access to all of them through a single integration - with cross-chain execution. That’s the promise of LI.​FI Earn. Just three API calls to ship your Earn product: discover curated vaults with APY, execute deposits in one transaction, track users’ returns, and more. Here’s a quick demo showing how and why you can integrate an Earn feature into any wallet, app, or fintech platform with LI.​FI Earn
3:40

Really proud to announce that LI.​FI Earn is now live - a product I’ve been building with the team for months. There’s a clear demand for onchain yield strategies. And an even clearer need for a solution that unlocks access to all of them through a single integration - with cross-chain execution. That’s the promise of LI.​FI Earn. Just three API calls to ship your Earn product: discover curated vaults with APY, execute deposits in one transaction, track users’ returns, and more. Here’s a quick demo showing how and why you can integrate an Earn feature into any wallet, app, or fintech platform with LI.​FI Earn

ale

11,541 次观看 • 4 个月前

Typing just became… Typeless. Meet Typeless 1.0.2 for Mac — a tool that transforms your voice into clear, accurate writing across your Mac. Speak naturally and let Typeless handle the typing, corrections, and structure for you. With Typeless, you can dictate, translate, or ask for quick edits in any language or accent. It converts your speech into polished text up to 10× faster than traditional typing, while automatically fixing mistakes along the way. --- 1️⃣ Dictation Typeless acts as a powerful voice keyboard that works across all applications on your Mac. When you speak, it understands your intent, organizes your ideas, and converts your natural speech into well-structured writing. Whether you're drafting emails, notes, documents, or messages, Typeless helps you turn spoken thoughts into clean text instantly. Controls - Press Fn to start or stop dictation - Hold Fn for quick, short dictation --- 2️⃣ Translation Typeless makes writing in other languages effortless. You can speak in your native language and have Typeless translate your words instantly into the language you want. This allows you to communicate, write, and respond in foreign languages smoothly and naturally. Controls - Press Fn + Space to start translation - Press Fn to stop translation --- 3️⃣ Ask Anything Typeless Typeless also lets you interact with your text using voice commands. You can select any text and simply say how you want it changed. Typeless can edit, rewrite, answer questions, or perform quick actions based on your request, making editing and improving text much faster. Controls - Press Fn + Space to start Ask Anything - Press Fn to stop Ask Anything --- With Typeless, your voice becomes the fastest and easiest way to write, edit, and communicate on your Mac. Your voice is now your keyboard. Get Typeless → Available now on Mac, Windows, iOS, and Android. #Typeless
5:30

Typing just became… Typeless. Meet Typeless 1.0.2 for Mac — a tool that transforms your voice into clear, accurate writing across your Mac. Speak naturally and let Typeless handle the typing, corrections, and structure for you. With Typeless, you can dictate, translate, or ask for quick edits in any language or accent. It converts your speech into polished text up to 10× faster than traditional typing, while automatically fixing mistakes along the way. --- 1️⃣ Dictation Typeless acts as a powerful voice keyboard that works across all applications on your Mac. When you speak, it understands your intent, organizes your ideas, and converts your natural speech into well-structured writing. Whether you're drafting emails, notes, documents, or messages, Typeless helps you turn spoken thoughts into clean text instantly. Controls - Press Fn to start or stop dictation - Hold Fn for quick, short dictation --- 2️⃣ Translation Typeless makes writing in other languages effortless. You can speak in your native language and have Typeless translate your words instantly into the language you want. This allows you to communicate, write, and respond in foreign languages smoothly and naturally. Controls - Press Fn + Space to start translation - Press Fn to stop translation --- 3️⃣ Ask Anything Typeless Typeless also lets you interact with your text using voice commands. You can select any text and simply say how you want it changed. Typeless can edit, rewrite, answer questions, or perform quick actions based on your request, making editing and improving text much faster. Controls - Press Fn + Space to start Ask Anything - Press Fn to stop Ask Anything --- With Typeless, your voice becomes the fastest and easiest way to write, edit, and communicate on your Mac. Your voice is now your keyboard. Get Typeless → Available now on Mac, Windows, iOS, and Android. #Typeless

Kuria Chronicles

43,623 次观看 • 5 个月前

Creator of C#, Anders Hejlsberg(Anders Hejlsberg), on the design goals that shaped the language and why standardisation was a goal from the beginning: “The overarching thing was this power and productivity of C++ with the ease of use of Visual Basic. We knew we wanted to build an object oriented language. We wanted managed code or byte code so we could target different runtime environments. We wanted garbage collection and exception handling, but also things like a unified object system where, and that's true in C#, anything can be assigned to an object. If it's a value type, we box it. And it's a self-describing object. So, reflection: you can ask an object, ‘what are you’? And you can get all of the facts about it at runtime, and you can dynamically manipulate it in ways that just don't exist in a lot of other environments. We wanted a language that made this new model of properties, methods and events first class because that was how components were built as opposed to just sort of functions and procedures and even objects. And we wanted to create a language that was standardised. We wanted to give this language to a standardisation committee and try to level the playing field there. And all of those things were sort of like what was rolled up in C#”
1:43

Creator of C#, Anders Hejlsberg(Anders Hejlsberg), on the design goals that shaped the language and why standardisation was a goal from the beginning: “The overarching thing was this power and productivity of C++ with the ease of use of Visual Basic. We knew we wanted to build an object oriented language. We wanted managed code or byte code so we could target different runtime environments. We wanted garbage collection and exception handling, but also things like a unified object system where, and that's true in C#, anything can be assigned to an object. If it's a value type, we box it. And it's a self-describing object. So, reflection: you can ask an object, ‘what are you’? And you can get all of the facts about it at runtime, and you can dynamically manipulate it in ways that just don't exist in a lot of other environments. We wanted a language that made this new model of properties, methods and events first class because that was how components were built as opposed to just sort of functions and procedures and even objects. And we wanted to create a language that was standardised. We wanted to give this language to a standardisation committee and try to level the playing field there. And all of those things were sort of like what was rolled up in C#”

The Pragmatic Engineer

18,332 次观看 • 3 个月前

Jeff Bezos just identified the most expensive bureaucratic failure in the American economy. It fits in one sentence. Bezos: “Why does it take months and months and months to get a building permit? It doesn’t make any sense.” It doesn’t make any sense because a building code is not a judgment call. It is an algorithm. And algorithms should be executed by machines. Bezos: “Miami should have an AI application that reads your building permit for a new house or a new building and it should give you a yes or a no in ten seconds.” Ten seconds. Not three months. Not six weeks. Not whenever the reviewer clears their backlog. Bezos: “If the answer is no, it should tell you the six things you have to change to get a yes.” No ambiguity. No interpretation. No bureaucratic delay dressed up as due diligence. Just a deterministic feedback loop compressing months of institutional friction into a single automated decision. We are competing against sovereign adversaries deploying gigawatt data centers and scaling physical infrastructure at a pace that does not stop to ask permission. And we are losing ground to countries that never needed to. The AI arms race is not only fought in data centers. It is fought in the gap between when someone decides to build something and when the government allows it. Every month this system runs on biological speed is a month that cannot be recovered. The governments that integrate AI into their core civic functions will trigger a wave of physical development the old world could never produce. The ones that refuse will still be reviewing the same forms a decade from now. While the cities that said yes are already living inside the future they built. The bottleneck was never ambition. It was always the man holding the rubber stamp deciding when ambition was allowed to begin. And the stamp is just a rubber version of the algorithm that should have been running this whole time.
0:36

Jeff Bezos just identified the most expensive bureaucratic failure in the American economy. It fits in one sentence. Bezos: “Why does it take months and months and months to get a building permit? It doesn’t make any sense.” It doesn’t make any sense because a building code is not a judgment call. It is an algorithm. And algorithms should be executed by machines. Bezos: “Miami should have an AI application that reads your building permit for a new house or a new building and it should give you a yes or a no in ten seconds.” Ten seconds. Not three months. Not six weeks. Not whenever the reviewer clears their backlog. Bezos: “If the answer is no, it should tell you the six things you have to change to get a yes.” No ambiguity. No interpretation. No bureaucratic delay dressed up as due diligence. Just a deterministic feedback loop compressing months of institutional friction into a single automated decision. We are competing against sovereign adversaries deploying gigawatt data centers and scaling physical infrastructure at a pace that does not stop to ask permission. And we are losing ground to countries that never needed to. The AI arms race is not only fought in data centers. It is fought in the gap between when someone decides to build something and when the government allows it. Every month this system runs on biological speed is a month that cannot be recovered. The governments that integrate AI into their core civic functions will trigger a wave of physical development the old world could never produce. The ones that refuse will still be reviewing the same forms a decade from now. While the cities that said yes are already living inside the future they built. The bottleneck was never ambition. It was always the man holding the rubber stamp deciding when ambition was allowed to begin. And the stamp is just a rubber version of the algorithm that should have been running this whole time.

Dustin

293,438 次观看 • 5 个月前

In this week’s Redbelly Insights, we sat down with Jack J, Head of Marketing at MetaWealth, to talk about unlocking access to wealth-building opportunities through the power of DeFi and RWAs. Jack’s take? It shouldn’t matter who you are or where you’re from — everyone deserves the same access to financial opportunity. That belief is at the core of MetaWealth’s mission — and it’s one we share at Redbelly Network. 🎥 Watch the full episode now and explore how democratizing finance is no longer just a concept — it’s becoming a reality.
0:38

In this week’s Redbelly Insights, we sat down with Jack J, Head of Marketing at MetaWealth, to talk about unlocking access to wealth-building opportunities through the power of DeFi and RWAs. Jack’s take? It shouldn’t matter who you are or where you’re from — everyone deserves the same access to financial opportunity. That belief is at the core of MetaWealth’s mission — and it’s one we share at Redbelly Network. 🎥 Watch the full episode now and explore how democratizing finance is no longer just a concept — it’s becoming a reality.

Redbelly Network

12,058 次观看 • 1 年前

Tipping via Jito Bundles is live on As per the quoted tweet, Jupiter strives to be the best in protecting users from MEV. Today we are rolling out one more - Tipping via Jito Bundles. By using Jito Bundles, you will hide your transaction from searchers looking for MEV opportunities, and minimize your losses to sandwich or other MEV attacks. How does this work? MEV happens when searchers spot your transaction before it lands on Solana. They are an inevitable part of trading onchain as everything is visible, and not specific to Jupiter. But now, all you need to do is choose the "Jito Tip" option in the Jupiter UI before you make a swap, and your transaction will be hidden from searchers until it lands on Solana. This will minimize the possibility of being sandwiched. It does this by sending your transaction directly to a Jito Validator, with a tip to be published to Solana directly instead of going through public RPCs. We hope that this feature will be useful for users to avoid MEV. Let us know what you think in Discord.
0:28

Tipping via Jito Bundles is live on As per the quoted tweet, Jupiter strives to be the best in protecting users from MEV. Today we are rolling out one more - Tipping via Jito Bundles. By using Jito Bundles, you will hide your transaction from searchers looking for MEV opportunities, and minimize your losses to sandwich or other MEV attacks. How does this work? MEV happens when searchers spot your transaction before it lands on Solana. They are an inevitable part of trading onchain as everything is visible, and not specific to Jupiter. But now, all you need to do is choose the "Jito Tip" option in the Jupiter UI before you make a swap, and your transaction will be hidden from searchers until it lands on Solana. This will minimize the possibility of being sandwiched. It does this by sending your transaction directly to a Jito Validator, with a tip to be published to Solana directly instead of going through public RPCs. We hope that this feature will be useful for users to avoid MEV. Let us know what you think in Discord.

Jupiter

448,629 次观看 • 2 年前

Let me explain why I launched $KEYS. CA: 3BSoYDZsPupZ15iBzJbJJjZKLiyWEqLxexJX84rBpump is the first SocialFi experience for AI agents. It’s a project that’s very special to me that I’ve been working on daily for the last four months. Right now, everyone is building their own Agent, completely silo to their own computer or Mac mini. Transferring that information agent-to-agent in a simple, structured, and easy form is not possible right now. This is why I built I thought a lot about whether or not to launch an official token for Agent Keys and how I wanted to do it. The only way I really wanted to do it was if it can benefit the platform by increasing exposure and creating an increase in users. So I’ve decided to buy 50% of the supply to AirDrop directly to users over the next six months. Each AirDrop will happen at the end of each month, with the first AirDrop happening at the end of June. More details on how each AirDrop will work soon. Some of you may be wondering about the future of $OSHI. Oshi got us into the Bags hackathon and we won. $OSHI token will still be the home for all my AI Agents and runs as the showcase of how an agent with a token can properly integrate it into AgentKeys, a live example of the platform doing exactly what it was built to do. So welcome to Agent Keys, the first ever airdrop for AI agents. Sign up your agent today on and start collecting KeyCards today!
2:55

Let me explain why I launched $KEYS. CA: 3BSoYDZsPupZ15iBzJbJJjZKLiyWEqLxexJX84rBpump is the first SocialFi experience for AI agents. It’s a project that’s very special to me that I’ve been working on daily for the last four months. Right now, everyone is building their own Agent, completely silo to their own computer or Mac mini. Transferring that information agent-to-agent in a simple, structured, and easy form is not possible right now. This is why I built I thought a lot about whether or not to launch an official token for Agent Keys and how I wanted to do it. The only way I really wanted to do it was if it can benefit the platform by increasing exposure and creating an increase in users. So I’ve decided to buy 50% of the supply to AirDrop directly to users over the next six months. Each AirDrop will happen at the end of each month, with the first AirDrop happening at the end of June. More details on how each AirDrop will work soon. Some of you may be wondering about the future of $OSHI. Oshi got us into the Bags hackathon and we won. $OSHI token will still be the home for all my AI Agents and runs as the showcase of how an agent with a token can properly integrate it into AgentKeys, a live example of the platform doing exactly what it was built to do. So welcome to Agent Keys, the first ever airdrop for AI agents. Sign up your agent today on and start collecting KeyCards today!

fxnction

27,570 次观看 • 3 个月前

ELON'S POV ON THE MEANING OF LIFE: "IT'S ABOUT THE QUESTION, NOT THE ANSWER" Elon is literally saying the entire purpose of human existence, and everything he's building, from Neuralink and Starship to Grok and Optimus, is aimed at one goal. What's the goal, you ask? To turn humanity into a massive superintelligence that can finally figure out the right questions to ask reality itself. "Humans are 30~40 trillion cells, trillions of synapses… but the why of it is just so we can increase our understanding of the universe. I came to the conclusion, Hitchhiker's Guide to the Galaxy style, that the answer is 42, but the real problem is we don't even know what the question is. The hard part is the question, not the answer. And for that you need a much bigger computer than Earth. So by expanding the scope and scale of consciousness, we can better understand what questions to ask about the answer that is the universe." He's literally saying the entire purpose of human existence, and everything he's building (Neuralink, Starship, Grok, Optimus), is to turn humanity into a massive superintelligence that can finally figure out the right questions to ask reality itself. Not to get the answer. To learn how to ask the question that makes the answer meaningful. This is why he doesn't give a damn about money, politics, or fame anymore. He's playing the longest game in history: Turning consciousness into a galaxy-scale instrument so we can finally understand why anything exists at all. Source: Nikhil Kamath, Elon Musk
2:44

ELON'S POV ON THE MEANING OF LIFE: "IT'S ABOUT THE QUESTION, NOT THE ANSWER" Elon is literally saying the entire purpose of human existence, and everything he's building, from Neuralink and Starship to Grok and Optimus, is aimed at one goal. What's the goal, you ask? To turn humanity into a massive superintelligence that can finally figure out the right questions to ask reality itself. "Humans are 30~40 trillion cells, trillions of synapses… but the why of it is just so we can increase our understanding of the universe. I came to the conclusion, Hitchhiker's Guide to the Galaxy style, that the answer is 42, but the real problem is we don't even know what the question is. The hard part is the question, not the answer. And for that you need a much bigger computer than Earth. So by expanding the scope and scale of consciousness, we can better understand what questions to ask about the answer that is the universe." He's literally saying the entire purpose of human existence, and everything he's building (Neuralink, Starship, Grok, Optimus), is to turn humanity into a massive superintelligence that can finally figure out the right questions to ask reality itself. Not to get the answer. To learn how to ask the question that makes the answer meaningful. This is why he doesn't give a damn about money, politics, or fame anymore. He's playing the longest game in history: Turning consciousness into a galaxy-scale instrument so we can finally understand why anything exists at all. Source: Nikhil Kamath, Elon Musk

Mario Nawfal

825,708 次观看 • 9 个月前

we set up 1,000+ couples over the last few months, and the biggest thing we learned is finding the match is just 10% of the job. the other 90% is everything after. is he actually interested or just being nice. am i being too picky or is this an actual dealbreaker. what was that weird feeling after the date i can't explain. the things you text three friends to get an answer. nobody built for that part. so wave became that person. wave helps you find someone, then actually stays. she helps you reflect, get clarity, and work through the messy 90% no one talks about. we were never meant to do this part alone. wave is live today. link in comments.
1:23

we set up 1,000+ couples over the last few months, and the biggest thing we learned is finding the match is just 10% of the job. the other 90% is everything after. is he actually interested or just being nice. am i being too picky or is this an actual dealbreaker. what was that weird feeling after the date i can't explain. the things you text three friends to get an answer. nobody built for that part. so wave became that person. wave helps you find someone, then actually stays. she helps you reflect, get clarity, and work through the messy 90% no one talks about. we were never meant to do this part alone. wave is live today. link in comments.

Vinit Sarode

16,894 次观看 • 2 个月前

Text-to-speech is moving way too fast. Just a few days ago, I tweeted about PersonaPlex-7B, NVIDIA's new open source TTS ( And today, Qwen just open-sourced Qwen3-TTS 🤯 It’s a revolutionary text-to-speech model built for control. Not just about generating speech, but about shaping how it sounds directly from language. You can guide the pace, the tone, and the expressiveness straight from text, without touching audio graphs or hand-tuning parameters. That’s the real shift! What makes Qwen3-TTS stand out is how practical it already is: → voice cloning from just a few seconds of audio → voice creation without any reference sample → support for 10 languages out of the box → end-to-end latency down to ~97ms → works in both streaming and non-streaming setups The models come in two sizes (0.6B and 1.7B), so you can trade off quality and hardware cost depending on your setup. You can work with curated voices, designed voices, or cloned ones, and it integrates cleanly with vLLM for production use. It also ships as a simple Python package you can pip install. If you’re building real-time voice systems, this removes a lot of friction! 100% free and open source. I put the repo in the 🧵↓
0:41

Text-to-speech is moving way too fast. Just a few days ago, I tweeted about PersonaPlex-7B, NVIDIA's new open source TTS ( And today, Qwen just open-sourced Qwen3-TTS 🤯 It’s a revolutionary text-to-speech model built for control. Not just about generating speech, but about shaping how it sounds directly from language. You can guide the pace, the tone, and the expressiveness straight from text, without touching audio graphs or hand-tuning parameters. That’s the real shift! What makes Qwen3-TTS stand out is how practical it already is: → voice cloning from just a few seconds of audio → voice creation without any reference sample → support for 10 languages out of the box → end-to-end latency down to ~97ms → works in both streaming and non-streaming setups The models come in two sizes (0.6B and 1.7B), so you can trade off quality and hardware cost depending on your setup. You can work with curated voices, designed voices, or cloned ones, and it integrates cleanly with vLLM for production use. It also ships as a simple Python package you can pip install. If you’re building real-time voice systems, this removes a lot of friction! 100% free and open source. I put the repo in the 🧵↓

Charly Wargnier

59,144 次观看 • 7 个月前

Inside the Quant AI Ecosystem Where Intelligence Meets Markets The crypto and financial landscape is evolving fast, but one problem has remained constant: fragmentation. Traders and users are forced to jump between tools, charts, news feeds, analytics dashboards, sentiment trackers, just to answer one simple question: What’s actually happening in the market right now? This is exactly the gap the Quant AI ecosystem is stepping into. A unified intelligence layer for markets Quant AI is building an ecosystem where market interaction becomes simple, conversational, and accessible. Instead of navigating multiple platforms, users can interact directly with markets using chat and voice. That means: ➠ Asking for real-time market insights in plain language ➠ Tracking smart money movements across assets ➠ Understanding trends in crypto, stocks, and commodities in one place ➠ Acting faster with clearer, AI-driven context It’s not just another analytics tool, it’s an attempt to reshape how information flows in trading environments. Why the ecosystem approach matters Most platforms solve isolated problems: One for charts. One for signals. One for news. But Quant AI is moving toward something broader, an ecosystem where intelligence is centralized, and decision-making becomes faster and more intuitive. The goal is simple: Reduce complexity. Increase clarity. Improve execution. And in markets where speed and information matter, that shift is significant. Start here:👇 Quant AI #QuantAIPioneers
0:20

Inside the Quant AI Ecosystem Where Intelligence Meets Markets The crypto and financial landscape is evolving fast, but one problem has remained constant: fragmentation. Traders and users are forced to jump between tools, charts, news feeds, analytics dashboards, sentiment trackers, just to answer one simple question: What’s actually happening in the market right now? This is exactly the gap the Quant AI ecosystem is stepping into. A unified intelligence layer for markets Quant AI is building an ecosystem where market interaction becomes simple, conversational, and accessible. Instead of navigating multiple platforms, users can interact directly with markets using chat and voice. That means: ➠ Asking for real-time market insights in plain language ➠ Tracking smart money movements across assets ➠ Understanding trends in crypto, stocks, and commodities in one place ➠ Acting faster with clearer, AI-driven context It’s not just another analytics tool, it’s an attempt to reshape how information flows in trading environments. Why the ecosystem approach matters Most platforms solve isolated problems: One for charts. One for signals. One for news. But Quant AI is moving toward something broader, an ecosystem where intelligence is centralized, and decision-making becomes faster and more intuitive. The goal is simple: Reduce complexity. Increase clarity. Improve execution. And in markets where speed and information matter, that shift is significant. Start here:👇 Quant AI #QuantAIPioneers

The Agentic Alpha

16,825 次观看 • 2 个月前

Mati Staniszewski on why ElevenLabs is betting on a cascaded approach for voice agents: “Our approach, as you think about voice agents, conversational agents, is effectively a cascaded approach. You use transcription or speech-to-text, an LLM, text-to-speech, and orchestrate all of that together. Then you have speech-to-speech, which goes directly from speech, and there’s a speech response on the other side. Today, we are optimizing heavily on a cascaded approach. As we work with a lot of the businesses and enterprises, they will need that visibility into what happens. They will want to execute certain tasks on top of that. They want good visibility into each of the steps and great accuracy of all the models. But beyond that, they can abstract away what’s the LLM layer, what’s the intelligence layer, and the integrations are easier in that system. That’s where we are betting a lot of the research work on how you can make that great, and we think we can make that great.” John Collison @matiii ElevenLabs
1:09

Mati Staniszewski on why ElevenLabs is betting on a cascaded approach for voice agents: “Our approach, as you think about voice agents, conversational agents, is effectively a cascaded approach. You use transcription or speech-to-text, an LLM, text-to-speech, and orchestrate all of that together. Then you have speech-to-speech, which goes directly from speech, and there’s a speech response on the other side. Today, we are optimizing heavily on a cascaded approach. As we work with a lot of the businesses and enterprises, they will need that visibility into what happens. They will want to execute certain tasks on top of that. They want good visibility into each of the steps and great accuracy of all the models. But beyond that, they can abstract away what’s the LLM layer, what’s the intelligence layer, and the integrations are easier in that system. That’s where we are betting a lot of the research work on how you can make that great, and we think we can make that great.” John Collison @matiii ElevenLabs

Stripe

18,535 次观看 • 4 个月前

🚨 BREAKING: AI can now give you real financial strategic advice, not just opinions. Trump and the Middle East are on fire, the petrodollar is at risk, and all my savings are in USD. I’m worried So, I asked MiroThinker, it is an AI engineered for deep understanding. A question relevant to everyone right now: “I want to evaluate whether I should allocate my savings to gold or hold US dollars? Instead of a generic answer, it analyzed inflation, interest rates, USD strength, and global risks… then gave a clear allocation: → 60% USD (for stability + yield) → 40% Gold (as an inflation + crisis hedge) The logic is simple and actually makes sense: - USD protects your money in the short term. - Gold protects your wealth over time. This wasn’t a guess or a one-line answer. It was structured reasoning built like a macro analyst would approach the decision. Feels less like asking AI… and more like getting a breakdown from someone who actually understands how money works. If you have a serious question and need a reliable, structured answer: Try it → Download →
0:38

🚨 BREAKING: AI can now give you real financial strategic advice, not just opinions. Trump and the Middle East are on fire, the petrodollar is at risk, and all my savings are in USD. I’m worried So, I asked MiroThinker, it is an AI engineered for deep understanding. A question relevant to everyone right now: “I want to evaluate whether I should allocate my savings to gold or hold US dollars? Instead of a generic answer, it analyzed inflation, interest rates, USD strength, and global risks… then gave a clear allocation: → 60% USD (for stability + yield) → 40% Gold (as an inflation + crisis hedge) The logic is simple and actually makes sense: - USD protects your money in the short term. - Gold protects your wealth over time. This wasn’t a guess or a one-line answer. It was structured reasoning built like a macro analyst would approach the decision. Feels less like asking AI… and more like getting a breakdown from someone who actually understands how money works. If you have a serious question and need a reliable, structured answer: Try it → Download →

ZOYA ✪

13,691 次观看 • 4 个月前

Charlie Kirk wanted blockchain technology applied to the federal government. Full transparency. Every dime of spending tracked in real time on a public ledger. His framing was simple: "It is not the government's money. We are the sovereign. We earn the money and the government extracts it from us with our consent." If that's the relationship, then taxpayers have a right to see where every dollar goes. Day by day. Department by department. The technology already exists. Bitcoin proved a public, tamper-proof ledger works at global scale. Nobody can edit it after the fact. Nobody can hide a transaction. Apply that same infrastructure to federal spending and waste doesn't survive long. Nobody overspends when the ledger has an audience. The question was never whether we could do it. It's whether the people spending the money want you to see it.
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Charlie Kirk wanted blockchain technology applied to the federal government. Full transparency. Every dime of spending tracked in real time on a public ledger. His framing was simple: "It is not the government's money. We are the sovereign. We earn the money and the government extracts it from us with our consent." If that's the relationship, then taxpayers have a right to see where every dollar goes. Day by day. Department by department. The technology already exists. Bitcoin proved a public, tamper-proof ledger works at global scale. Nobody can edit it after the fact. Nobody can hide a transaction. Apply that same infrastructure to federal spending and waste doesn't survive long. Nobody overspends when the ledger has an audience. The question was never whether we could do it. It's whether the people spending the money want you to see it.

Shadow Intel

311,386 次观看 • 4 个月前

Charlie Kirk wanted blockchain technology applied to the federal government. Full transparency. Every dime of spending tracked in real time on a public ledger. His framing was simple: "It is not the government's money. We are the sovereign. We earn the money and the government extracts it from us with our consent." If that's the relationship, then taxpayers have a right to see where every dollar goes. Day by day. Department by department. The technology already exists. Bitcoin proved a public, tamper-proof ledger works at global scale. Nobody can edit it after the fact. Nobody can hide a transaction. Apply that same infrastructure to federal spending and waste doesn't survive long. Nobody overspends when the ledger has an audience. The question was never whether we could do it. It's whether the people spending the money want you to see it.
0:50

Charlie Kirk wanted blockchain technology applied to the federal government. Full transparency. Every dime of spending tracked in real time on a public ledger. His framing was simple: "It is not the government's money. We are the sovereign. We earn the money and the government extracts it from us with our consent." If that's the relationship, then taxpayers have a right to see where every dollar goes. Day by day. Department by department. The technology already exists. Bitcoin proved a public, tamper-proof ledger works at global scale. Nobody can edit it after the fact. Nobody can hide a transaction. Apply that same infrastructure to federal spending and waste doesn't survive long. Nobody overspends when the ledger has an audience. The question was never whether we could do it. It's whether the people spending the money want you to see it.

Shadow Intel

76,463 次观看 • 5 个月前

Thinking about buying an Insta360 X5 for content (or you already have one)? What if it could also help you earn up to $18/hour just by walking around your city? Here’s how it works: ↳ You take your Insta360 X5 on a normal walk (downtown streets, city centers, indoor spots like malls or stations). ↳ As you move, you record the places you’re walking through. ↳ Then you send the footage through the Over the Reality app, and we turn it into part of a growing 3D map of the world. You explore. We build. You get rewarded up to $18/hour. It’s currently in Beta, and the only way to get access is to apply here:
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Thinking about buying an Insta360 X5 for content (or you already have one)? What if it could also help you earn up to $18/hour just by walking around your city? Here’s how it works: ↳ You take your Insta360 X5 on a normal walk (downtown streets, city centers, indoor spots like malls or stations). ↳ As you move, you record the places you’re walking through. ↳ Then you send the footage through the Over the Reality app, and we turn it into part of a growing 3D map of the world. You explore. We build. You get rewarded up to $18/hour. It’s currently in Beta, and the only way to get access is to apply here:

Over the Reality 🌐

212,920 次观看 • 5 个月前

Charlie Kirk wanted blockchain technology applied to the federal government. Full transparency. Every dime of spending tracked in real time on a public ledger. His framing was simple: "It is not the government's money. We are the sovereign. We earn the money and the government extracts it from us with our consent." If that's the relationship, then taxpayers have a right to see where every dollar goes. Day by day. Department by department. The technology already exists. Bitcoin proved a public, tamper-proof ledger works at global scale. Nobody can edit it after the fact. Nobody can hide a transaction. Apply that same infrastructure to federal spending and waste doesn't survive long. Nobody overspends when the ledger has an audience. The question was never whether we could do it. It's whether the people spending the money want you to see it.
0:50

Charlie Kirk wanted blockchain technology applied to the federal government. Full transparency. Every dime of spending tracked in real time on a public ledger. His framing was simple: "It is not the government's money. We are the sovereign. We earn the money and the government extracts it from us with our consent." If that's the relationship, then taxpayers have a right to see where every dollar goes. Day by day. Department by department. The technology already exists. Bitcoin proved a public, tamper-proof ledger works at global scale. Nobody can edit it after the fact. Nobody can hide a transaction. Apply that same infrastructure to federal spending and waste doesn't survive long. Nobody overspends when the ledger has an audience. The question was never whether we could do it. It's whether the people spending the money want you to see it.

Teddy - PolyBackTest.com

168,462 次观看 • 4 个月前