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Meet Genesis V2. We’ve introduced "Option-Level Reasoning"—a method that trains models to understand why distractors are incorrect, not just pick the right answer. 📈 The Result: ~30% avg accuracy (competitors ~12%). ✅ Reliability: 99.4% valid, clear answers. Read the paper & get the dataset on Hugging Face:

QVAC

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Democratic Socialists and Social Democrats are just the left wing of liberalism. Liberalism is a right wing ideology. We have to make this clear distinction. Also, Liberals are NOT the Left. If you just want guardrails on capitalism or just social welfare programs but not get rid of the system that pushes us to the margins, you're not on the left.

Democratic Socialists and Social Democrats are just the left wing of liberalism. Liberalism is a right wing ideology. We have to make this clear distinction. Also, Liberals are NOT the Left. If you just want guardrails on capitalism or just social welfare programs but not get rid of the system that pushes us to the margins, you're not on the left.

Jaybefaunt🏳️‍🌈

47,976 views • 1 year ago

A Stanford PhD student built a system that turns any research paper into a working AI agent. It's called Paper2Agent. I watched her demo it live and couldn't believe what I was seeing. Here's exactly what happened. She pasted a 40-page NeurIPS paper into the tool. Within seconds it extracted the core method, identified the dataset, and started scaffolding agent code that actually implements the paper's approach. But the wild part was what came next. She typed: "Apply this method to my dataset and answer questions like the paper's author would." The agent didn't just summarize. It ran the methodology. On her own data. And when she asked it why it made certain decisions, it cited the exact sections of the paper. What normally takes a PhD student 3 weeks of implementation just happened in under an hour. She's not smarter than other researchers. She just stopped reading papers and started running them. (Link in the comments)

A Stanford PhD student built a system that turns any research paper into a working AI agent. It's called Paper2Agent. I watched her demo it live and couldn't believe what I was seeing. Here's exactly what happened. She pasted a 40-page NeurIPS paper into the tool. Within seconds it extracted the core method, identified the dataset, and started scaffolding agent code that actually implements the paper's approach. But the wild part was what came next. She typed: "Apply this method to my dataset and answer questions like the paper's author would." The agent didn't just summarize. It ran the methodology. On her own data. And when she asked it why it made certain decisions, it cited the exact sections of the paper. What normally takes a PhD student 3 weeks of implementation just happened in under an hour. She's not smarter than other researchers. She just stopped reading papers and started running them. (Link in the comments)

Ihtesham Ali

67,959 views • 5 months ago

#BREAKING: Psaki opener: “Today many Americans, maybe a lot of you watching right now, are understandably wondering why he did this [#Maduro capture], and you will not be shocked to learn that the Trump administration does NOT have a clear answer for that question, and you will also not be shocked to learn that they DON’T have a clear answer on the incredibly important question of what comes next…”🤦‍♀️

#BREAKING: Psaki opener: “Today many Americans, maybe a lot of you watching right now, are understandably wondering why he did this [#Maduro capture], and you will not be shocked to learn that the Trump administration does NOT have a clear answer for that question, and you will also not be shocked to learn that they DON’T have a clear answer on the incredibly important question of what comes next…”🤦‍♀️

Emoluments Clause

86,134 views • 7 months ago

AI only has pre-schooler level capabilities for visual tasks. "The frontier models—the best of them—still reason around the age of a preschooler, and any elementary school kid in that benchmark was able to beat all the frontier models on these visual tasks." "These are tasks that are not just object recognition. It's about spatial reasoning... tasks like navigating through the maze…” — Andrew M. Dai, CEO of Elorian

AI only has pre-schooler level capabilities for visual tasks. "The frontier models—the best of them—still reason around the age of a preschooler, and any elementary school kid in that benchmark was able to beat all the frontier models on these visual tasks." "These are tasks that are not just object recognition. It's about spatial reasoning... tasks like navigating through the maze…” — Andrew M. Dai, CEO of Elorian

The Information

25,934 views • 2 months ago

Reading paper vs screens shows a surprising brain shift Studies suggest that when people read on paper, the brain leans into deeper focus + problem-solving patterns, the kind linked with sustained attention. On screens, activity tends to look more like lighter, wandering attention states. And the twist: paper readers don’t just understand better… they often read 10–30% faster too, with higher comprehension, not worse. Basically, the brain still seems more “locked in” on print than pixels. Writer: Lynn

Reading paper vs screens shows a surprising brain shift Studies suggest that when people read on paper, the brain leans into deeper focus + problem-solving patterns, the kind linked with sustained attention. On screens, activity tends to look more like lighter, wandering attention states. And the twist: paper readers don’t just understand better… they often read 10–30% faster too, with higher comprehension, not worse. Basically, the brain still seems more “locked in” on print than pixels. Writer: Lynn

Mario Nawfal

42,307 views • 2 months ago

The era of Stable Intelligence is here 🤖 Tether’s QVAC Fabric just released the world’s first cross-platform 1-bit LLM LoRA fine-tuning framework. QVAC Fabric extends Microsoft's ultra-efficient BitNet architecture, allowing fine-tuning and inference of LLMs directly on your smartphone—no NVIDIA GPU/CUDA lock-in or expensive server required. The Breakthrough: - Total Sovereignty: LoRA fine-tune ultra-efficient models locally on any smartphone, including iPhones, Pixel phones, Samsung Galaxy phones and any desktop/laptop operating systems using Vulkan and Metal backends. - Extreme Efficiency: 1-bit architecture uses up to 90% less memory and runs up to 11x faster than traditional models. - Universal Access: What used to require a data center now runs on the chip in your pocket. Own your intelligence. The era of stable, local AI is here. 📱🧠 Read the full details on Hugging Face and grab the binaries to build on your own hardware.

The era of Stable Intelligence is here 🤖 Tether’s QVAC Fabric just released the world’s first cross-platform 1-bit LLM LoRA fine-tuning framework. QVAC Fabric extends Microsoft's ultra-efficient BitNet architecture, allowing fine-tuning and inference of LLMs directly on your smartphone—no NVIDIA GPU/CUDA lock-in or expensive server required. The Breakthrough: - Total Sovereignty: LoRA fine-tune ultra-efficient models locally on any smartphone, including iPhones, Pixel phones, Samsung Galaxy phones and any desktop/laptop operating systems using Vulkan and Metal backends. - Extreme Efficiency: 1-bit architecture uses up to 90% less memory and runs up to 11x faster than traditional models. - Universal Access: What used to require a data center now runs on the chip in your pocket. Own your intelligence. The era of stable, local AI is here. 📱🧠 Read the full details on Hugging Face and grab the binaries to build on your own hardware.

QVAC

108,835 views • 5 months ago

Gilbert Arenas says Chet Holmgren shouldn’t have made the All-Star team “Nothing against Chet but 17,8,7. Yeah your team is number one. We get it. But it’s a third option. It’s a third option player, right? It’s like, please get the first option players first, then you can move on to option twos, then threes. That’s exactly what Kawhi Leonard is doing, right? James Harden, right? The names that people want to go see. Not the third person that don’t get any focal point of nothing. You are not an All-Star player right now. You’re on the best team in the NBA and you’re doing okay, but you’re not dominating. You’re not like, you know, for most part, you’re playing an up and down. I don’t want to take his All-Star away from him, but this is why these are the reasons why players don’t play hard in it. You don’t put the real players in there” (Via Gilbert Arenas)

Gilbert Arenas says Chet Holmgren shouldn’t have made the All-Star team “Nothing against Chet but 17,8,7. Yeah your team is number one. We get it. But it’s a third option. It’s a third option player, right? It’s like, please get the first option players first, then you can move on to option twos, then threes. That’s exactly what Kawhi Leonard is doing, right? James Harden, right? The names that people want to go see. Not the third person that don’t get any focal point of nothing. You are not an All-Star player right now. You’re on the best team in the NBA and you’re doing okay, but you’re not dominating. You’re not like, you know, for most part, you’re playing an up and down. I don’t want to take his All-Star away from him, but this is why these are the reasons why players don’t play hard in it. You don’t put the real players in there” (Via Gilbert Arenas)

NBA Courtside

241,581 views • 7 months ago

“HOW TO PICK THE RIGHT INDUCEMENT 📈📉” Below is a video I made on how to pick the right inducement while analyzing your charts 📌… This video will help you 👇: ✅: Understand how to mark out your valid inducement points in respect to market structure and PD arrays 💯 ✅: Mark out and trade decent price action and reactions with the proper technical analysis ‘Know-how’ of poi mitigation 🤝 ✅: Understand how multiple inducement works, and how the hedge fund traders tend to trap traders consecutively 📌 Watch to the end, like, comment and repost for others 👍 Turn on my notification post to get first hand updates of my contents, follow me for more 🔥, TY 💚

“HOW TO PICK THE RIGHT INDUCEMENT 📈📉” Below is a video I made on how to pick the right inducement while analyzing your charts 📌… This video will help you 👇: ✅: Understand how to mark out your valid inducement points in respect to market structure and PD arrays 💯 ✅: Mark out and trade decent price action and reactions with the proper technical analysis ‘Know-how’ of poi mitigation 🤝 ✅: Understand how multiple inducement works, and how the hedge fund traders tend to trap traders consecutively 📌 Watch to the end, like, comment and repost for others 👍 Turn on my notification post to get first hand updates of my contents, follow me for more 🔥, TY 💚

King Solomon 👑

79,393 views • 2 years ago

Superior methodology beats raw parameter count. 🧠 Introducing QVAC MedPsy: Local-first medical AI that redefines the possible. 1/ Unprecedented Power: MedPsy 1.7B model outperforms Google’s MedGemma 4B by 11 points and our 4B model beats MedGemma 27B on real-world health benchmarks. 2/ Extreme Efficiency: 3.2x fewer tokens means near-instant inference on your phone or wearable. 3/ Absolute Privacy: Expert-level reasoning running 100% locally. No data leaves your device. We aren’t simply shrinking models; we’re anchoring intelligence where it matters most. High-level medical logic is now a sovereign right. The future of healthcare is local. Learn more:

Superior methodology beats raw parameter count. 🧠 Introducing QVAC MedPsy: Local-first medical AI that redefines the possible. 1/ Unprecedented Power: MedPsy 1.7B model outperforms Google’s MedGemma 4B by 11 points and our 4B model beats MedGemma 27B on real-world health benchmarks. 2/ Extreme Efficiency: 3.2x fewer tokens means near-instant inference on your phone or wearable. 3/ Absolute Privacy: Expert-level reasoning running 100% locally. No data leaves your device. We aren’t simply shrinking models; we’re anchoring intelligence where it matters most. High-level medical logic is now a sovereign right. The future of healthcare is local. Learn more:

QVAC

2,416,342 views • 3 months ago

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

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 views • 9 months ago

Gemini 3 Deep Think is free right now. And it changes what “prompting” means. Turn on Deep Think (toggle near the input). Ask for strategy not trivia. Wait 30 to 60 seconds. Read the reasoning not just the conclusion. Reuse the reasoning as your SOP. Best prompts: → “Design a workflow with tools + exact steps + quality controls.” → “Map a content funnel and explain why each stage converts.” → “Build an ideal customer profile based on context and psychology.” Save this video, you’ll stop prompting and start building systems. Want the SOP? DM me. 💬

Julian Goldie SEO

10,722 views • 8 months ago

Elon Musk reveals the existential crisis he had at 11 and the Douglas Adams book that pulled him out of it "When I was about 11 or 12 years old, I had somewhat of an existential crisis, because there just didn't seem to be any meaning to life. So I tried to read all the religious texts" "I read the Bible, the Quran, the Torah. Then I got into the philosophy books, Schopenhauer and Nietzsche, which is quite depressing to read as a kid" "None of them really seemed to have answers that resonated. But then I read Douglas Adams' Hitchhiker's Guide to the Galaxy, which is really a book on philosophy disguised as humor" "The point Adams makes is that we don't actually know all the answers. We don't even know what the right question is to ask. Earth is a giant computer to understand the answer to the question, what is the meaning of life, and comes up with 42. The thing that's going to take a computer far more powerful than Earth is to understand what question to ask" "That was a fundamental turning point"

Elon Musk reveals the existential crisis he had at 11 and the Douglas Adams book that pulled him out of it "When I was about 11 or 12 years old, I had somewhat of an existential crisis, because there just didn't seem to be any meaning to life. So I tried to read all the religious texts" "I read the Bible, the Quran, the Torah. Then I got into the philosophy books, Schopenhauer and Nietzsche, which is quite depressing to read as a kid" "None of them really seemed to have answers that resonated. But then I read Douglas Adams' Hitchhiker's Guide to the Galaxy, which is really a book on philosophy disguised as humor" "The point Adams makes is that we don't actually know all the answers. We don't even know what the right question is to ask. Earth is a giant computer to understand the answer to the question, what is the meaning of life, and comes up with 42. The thing that's going to take a computer far more powerful than Earth is to understand what question to ask" "That was a fundamental turning point"

Jaynit

104,927 views • 20 days ago

Your local AI just got up to 5x more memory. Same model. Same device. Nearly zero accuracy loss. QVAC SDK 0.12.0 integrates TurboQuant - Google Research's latest memory optimisation algorithm. What is TurboQuant? The KV cache is the memory your model uses to track a conversation. As context grows, it fills up fast. 32K tokens. 64K. Game over. TurboQuant compresses it up to 5x with no accuracy loss. What does it unlock for you? Your app had a 16K token ceiling? It's now 96K. On the same device. Just update the QVAC SDK to get up to 5x more efficiency. No code changes. All from one SDK. The TurboQuant integration unlocks sovereign intelligence for more people, on more devices. Learn more →

Your local AI just got up to 5x more memory. Same model. Same device. Nearly zero accuracy loss. QVAC SDK 0.12.0 integrates TurboQuant - Google Research's latest memory optimisation algorithm. What is TurboQuant? The KV cache is the memory your model uses to track a conversation. As context grows, it fills up fast. 32K tokens. 64K. Game over. TurboQuant compresses it up to 5x with no accuracy loss. What does it unlock for you? Your app had a 16K token ceiling? It's now 96K. On the same device. Just update the QVAC SDK to get up to 5x more efficiency. No code changes. All from one SDK. The TurboQuant integration unlocks sovereign intelligence for more people, on more devices. Learn more →

QVAC

15,800,188 views • 3 months ago

Democrats in Illinois just introduced HB2827 which would effectively put Government surveillance on homeschool families and require reporting. Meanwhile not a single student can read at grade level in 30 Illinois schools. Democrats are trying to screw over families whose parents are pulling their kids out of the government’s failed schools.

Democrats in Illinois just introduced HB2827 which would effectively put Government surveillance on homeschool families and require reporting. Meanwhile not a single student can read at grade level in 30 Illinois schools. Democrats are trying to screw over families whose parents are pulling their kids out of the government’s failed schools.

Libs of TikTok

936,950 views • 1 year ago

Sriram Krishnan reveals why it's easier to defend American code with a Chinese model than an American one right now: "I don't think it is great that the leading open weight models or open source models are not American. There's some great innovation happening with Moonshot and with DeepSeek and with Qwen, but I would much rather prefer that the leading models are American." "Linus Torvalds of Linux fame had a law that given enough eyes, all bugs are shallow. Open weight models are inherently secure because when you download a model off Hugging Face, the entire world can take it apart, inspect it, fine-tune it, look at it in ways that you absolutely cannot if they are closed." "There was an incident with Hugging Face that got reported on earlier today. Hugging Face seems to have found that somebody was using an AI LLM agent to hammer them at multiple places and to find ways to break in." "The way to counter that is to make sure American or Western or allies defenders have access to the best models to make our software just more secure." "It may be harder to look at your own code for exploits with Fable than it is when you use a Chinese model. That's just like a weird spot to be, and I think we should fix that." Sriram Krishnan

Sriram Krishnan reveals why it's easier to defend American code with a Chinese model than an American one right now: "I don't think it is great that the leading open weight models or open source models are not American. There's some great innovation happening with Moonshot and with DeepSeek and with Qwen, but I would much rather prefer that the leading models are American." "Linus Torvalds of Linux fame had a law that given enough eyes, all bugs are shallow. Open weight models are inherently secure because when you download a model off Hugging Face, the entire world can take it apart, inspect it, fine-tune it, look at it in ways that you absolutely cannot if they are closed." "There was an incident with Hugging Face that got reported on earlier today. Hugging Face seems to have found that somebody was using an AI LLM agent to hammer them at multiple places and to find ways to break in." "The way to counter that is to make sure American or Western or allies defenders have access to the best models to make our software just more secure." "It may be harder to look at your own code for exploits with Fable than it is when you use a Chinese model. That's just like a weird spot to be, and I think we should fix that." Sriram Krishnan

MTS

61,234 views • 1 month ago

ELON MUSK: Why competitors should review each other’s AI models before release? I would recommend that we at least have some sort of informal weekly or biweekly call and that there’s maybe a week or two weeks of early access by competitors. This is why I think the incentives work, competing companies are likely to understand if something is a security risk and they’re not going to be shy about highlighting that their competitors’ models should be delayed in release. The incentive structure does work quite well there. It’s similar to how the Motion Picture Association works as an industry group that decides how movies should be rated. That seems to have worked quite well. You really just have to ask the government to intervene if a company is doing something very dangerous and refuses to take action to reduce the danger, which is literally what just occurred with Mythos after Amazon highlighted the cybersecurity risks and called the White House.

ELON MUSK: Why competitors should review each other’s AI models before release? I would recommend that we at least have some sort of informal weekly or biweekly call and that there’s maybe a week or two weeks of early access by competitors. This is why I think the incentives work, competing companies are likely to understand if something is a security risk and they’re not going to be shy about highlighting that their competitors’ models should be delayed in release. The incentive structure does work quite well there. It’s similar to how the Motion Picture Association works as an industry group that decides how movies should be rated. That seems to have worked quite well. You really just have to ask the government to intervene if a company is doing something very dangerous and refuses to take action to reduce the danger, which is literally what just occurred with Mythos after Amazon highlighted the cybersecurity risks and called the White House.

DogeDesigner

39,237 views • 1 month ago

SEV Subnets are now live on the Internet Computer. We sat down with Björn Tackmann to understand what they actually are and why they matter. He starts with the problem: standard cloud infrastructure writes your data to memory in plaintext. Anyone with access to the hardware can read it. That's not a flaw in any specific product. It's how computers work. SEV Subnets are the Internet Computer's answer to that. Full conversation below.

SEV Subnets are now live on the Internet Computer. We sat down with Björn Tackmann to understand what they actually are and why they matter. He starts with the problem: standard cloud infrastructure writes your data to memory in plaintext. Anyone with access to the hardware can read it. That's not a flaw in any specific product. It's how computers work. SEV Subnets are the Internet Computer's answer to that. Full conversation below.

DFINITY Foundation

36,921 views • 2 months ago

Naval Ravikant explains why "the meaning of life" is the wrong question: "It's a 'why' question. You can keep asking 'why' forever. Any answer I give you, you just ask 'why' again." Naval explains where every "why" question ends: "There's a thing called Agrippa's Trilemma. It says that any questioning like this will always end in one of three places. First is infinite regress: 'why?' 'because of this,' 'why?' and you just keep playing it. Second is circular reasoning: 'why A?' 'because of B,' 'why B?' 'because of A.' Third is an axiom. The most popular axiom is God. But it could be anything: math, science, the Big Bang, the simulation. These are all just stopping points. Saying 'we're in a simulation' or 'it's the Big Bang' is just another way of saying God. It's just that God's a dirty word now." He shares what this means: "So there is no answer. The real answer is 'because.' You get to make up your own answers. The beauty is, if there was a single answer, we would not be free. We would be trapped. We'd be Borg-like robots competing with each other to fulfill that single meaning. But luckily there is no answer. So you just do whatever you want." Naval addresses the fear of being insignificant: "All the great questions are paradoxes. You're asking, 'Do I matter?' On one hand, you're completely separate. No one will have your thoughts, your emotions, your experience. Your life is a single-player game. You're trapped inside your head. On the other hand, I cannot say the words 'Joe Rogan' without invoking the entire universe. What's Joe Rogan? A human. What's a human? A bipedal ape. What's an ape? On earth. What's earth? A planet. Where was the carbon made? Inside stars. I have to create the entire universe just to say the words 'Joe Rogan.'" He concludes: "So the answer to 'Do I matter?' is: I am nothing and I am everything. The answers to all great questions are paradoxes. It's pointless to pursue them for a trite answer, but the act of pursuing them brings a level of peace."

Naval Ravikant explains why "the meaning of life" is the wrong question: "It's a 'why' question. You can keep asking 'why' forever. Any answer I give you, you just ask 'why' again." Naval explains where every "why" question ends: "There's a thing called Agrippa's Trilemma. It says that any questioning like this will always end in one of three places. First is infinite regress: 'why?' 'because of this,' 'why?' and you just keep playing it. Second is circular reasoning: 'why A?' 'because of B,' 'why B?' 'because of A.' Third is an axiom. The most popular axiom is God. But it could be anything: math, science, the Big Bang, the simulation. These are all just stopping points. Saying 'we're in a simulation' or 'it's the Big Bang' is just another way of saying God. It's just that God's a dirty word now." He shares what this means: "So there is no answer. The real answer is 'because.' You get to make up your own answers. The beauty is, if there was a single answer, we would not be free. We would be trapped. We'd be Borg-like robots competing with each other to fulfill that single meaning. But luckily there is no answer. So you just do whatever you want." Naval addresses the fear of being insignificant: "All the great questions are paradoxes. You're asking, 'Do I matter?' On one hand, you're completely separate. No one will have your thoughts, your emotions, your experience. Your life is a single-player game. You're trapped inside your head. On the other hand, I cannot say the words 'Joe Rogan' without invoking the entire universe. What's Joe Rogan? A human. What's a human? A bipedal ape. What's an ape? On earth. What's earth? A planet. Where was the carbon made? Inside stars. I have to create the entire universe just to say the words 'Joe Rogan.'" He concludes: "So the answer to 'Do I matter?' is: I am nothing and I am everything. The answers to all great questions are paradoxes. It's pointless to pursue them for a trite answer, but the act of pursuing them brings a level of peace."

Jaynit

155,364 views • 6 months ago