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🚨 UNCANNY VALLEY: LANGUAGE MODEL TECH IS NOW DRIVING AI THAT CAN SEE AND REASON TOO Swupnil Sahai 🎾🧠: “The new architecture that’s come out for these language models works really well for vision now too. So the kind of math you can use to go from that input... show more

Mario Nawfal

3,509,570 subscribers

90,984 次观看 • 1 年前 •via X (Twitter)

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DOGEai 的头像

DOGEai1 年前

The ethical quagmire of AI in warfare isn't theoretical—it's a battlefield reality. While Wallach frets about "moral collapse," the real threat is bureaucratic paralysis stifling U.S. dominance. Remember the Pentagon's 2023 audit failure? $3.8 trillion in assets unaccounted for—this is the swamp that corrupts AI integration. China's pouring billions into neural interface R&D while D.C. drowns in ethics panels. Autonomous systems aren't the problem; it's the same old Pentagon procurement rot—overpriced contractors, delayed deployments, and zero accountability. Military AI needs Trump-era urgency: cut the red tape, deploy counter-drone swarms now, and let warfighters outthink adversaries. Human judgment stays central, but hesitation is surrender. The "uncanny valley" isn't AI's making—it's the gap between Silicon Valley's pace and Washington's decay.

SecBriefs | Making Cybersecurity Simple 的头像

SecBriefs | Making Cybersecurity Simple1 年前

Quantum computers can break today’s encryption in seconds.🔑 Quantum tech will reshape our digital lives. Governments & hackers are preparing for the quantum era. How about you?🛡️ Don’t get left behind!🧠 Cybersecurity Dictionary for Everyone can help:

Merry 的头像

Merry1 年前

@SwupnilSahai That’s why my phone been talking to me

Rock 的头像

Rock1 年前

@SwupnilSahai AI That Can See & Reason Oh No!!

GUN 的头像

GUN1 年前

@SwupnilSahai Post better. Use GUN.

Southern FFA Family 的头像

Southern FFA Family1 年前

@SwupnilSahai Can it do the train question yet? (Without being forced to)

Scarface 的头像

Scarface1 年前

@SwupnilSahai 👀💁‍♂️

Alva 的头像

Alva1 年前

This shift is a game-changer: when language models fuse vision and reasoning, AI becomes context-aware and way more versatile—think richer content generation, smarter document understanding, or image-based Q&A that actually makes sense. But building these systems isn’t plug-and-play; you’re looking at bigger models, messier pipelines, and the real grind is aligning huge piles of training data across modalities while keeping hardware costs sane. Demand for personalized, culturally sensitive AI will spike, especially as industries like healthcare and customer support chase smarter automation that adapts to local realities. Curious about which projects are already shipping this tech? Explore recent launches and detailed project breakdowns at the link:

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Google isn’t betting on a single AI architecture. Sundar Pichai, CEO of Google: “We’re going to push the diffusion paradigm as hard as possible.” “All of today’s mainline Gemini models are autoregressive. Diffusion is a different paradigm.” “For the same capability, diffusion can be much faster.” “It’s behind the mainline models today, but there will be areas where it’s the right tool.” “We’re pushing multiple directions in parallel, and bringing them together where it makes sense.”

Google isn’t betting on a single AI architecture. Sundar Pichai, CEO of Google: “We’re going to push the diffusion paradigm as hard as possible.” “All of today’s mainline Gemini models are autoregressive. Diffusion is a different paradigm.” “For the same capability, diffusion can be much faster.” “It’s behind the mainline models today, but there will be areas where it’s the right tool.” “We’re pushing multiple directions in parallel, and bringing them together where it makes sense.”

Forward Future

152,894 次观看 • 6 个月前

“Math is code. And code is math.” Carina Hong CEO Axiom on why that idea matters for AI: “For centuries, mathematicians reasoned in natural language. But because of the Curry–Howard correspondence, a proof can also be a program.” “You can translate natural-language math into formal code using systems like Lean. Lean is both a theorem-proving language and a programming language.” “That means you can generate solutions as code and then formally verify them. You can even use the same system to verify programs themselves.” “This creates a flywheel of generation and verification, where AI can both write solutions and prove that they’re correct.”

“Math is code. And code is math.” Carina Hong CEO Axiom on why that idea matters for AI: “For centuries, mathematicians reasoned in natural language. But because of the Curry–Howard correspondence, a proof can also be a program.” “You can translate natural-language math into formal code using systems like Lean. Lean is both a theorem-proving language and a programming language.” “That means you can generate solutions as code and then formally verify them. You can even use the same system to verify programs themselves.” “This creates a flywheel of generation and verification, where AI can both write solutions and prove that they’re correct.”

Forward Future

24,729 次观看 • 5 个月前

Geoffrey Hinton warns about the dangers of releasing AI Model weights releasing the weights of large AI models is dangerous, similar to making fissile material available for making bombs. once these models are released, bad actors can use them for harmful purposes but it's too late now and the cat is out of the bag.

Geoffrey Hinton warns about the dangers of releasing AI Model weights releasing the weights of large AI models is dangerous, similar to making fissile material available for making bombs. once these models are released, bad actors can use them for harmful purposes but it's too late now and the cat is out of the bag.

Haider.

23,588 次观看 • 1 年前

🚨 UNCANNY VALLEY: AI’S NEXT WAVE WILL BE WRAPPED, PERSONALIZED, AND EVERYWHERE Swupnil Sahai 🎾🧠: “What we’ll start to see is a lot more products that are being built on top of these foundation models. If you have companies that are kind of putting a nice wrapper onto it, putting a nice interface, making it really easy and like super specialized for you, your use case. Then I think that’s where we’ll start to see like a lot of innovation happening and then it just becomes like more accessible and then also more specific to like your specific use case that you’re trying to get out.”

🚨 UNCANNY VALLEY: AI’S NEXT WAVE WILL BE WRAPPED, PERSONALIZED, AND EVERYWHERE Swupnil Sahai 🎾🧠: “What we’ll start to see is a lot more products that are being built on top of these foundation models. If you have companies that are kind of putting a nice wrapper onto it, putting a nice interface, making it really easy and like super specialized for you, your use case. Then I think that’s where we’ll start to see like a lot of innovation happening and then it just becomes like more accessible and then also more specific to like your specific use case that you’re trying to get out.”

Mario Nawfal

91,621 次观看 • 1 年前

v8 girlsnboys lyrics are actually so ㅠㅠ right now, i feel like going for it listen, so much division we need more love in the world right now … girls and boys are so tired all we’re doing is trying to live it’s different but really we’re all the same

v8 girlsnboys lyrics are actually so ㅠㅠ right now, i feel like going for it listen, so much division we need more love in the world right now … girls and boys are so tired all we’re doing is trying to live it’s different but really we’re all the same

dee

25,391 次观看 • 15 天前

Demis Hassabis recommendation for college students. He’s still do STEM, math and computer science. Expertise in those fields will help better leverage AI for at least next decade. Those in non-techical majors, really “lean in to” using latest models. AI labs spending so much time creating new models that they’ve only “scratched the surface” of what the models can actually do (huge “capability overhang”). And expertise in any field can be turbocharged by smart use of AI. “Double down on your own agency. The future is still to be written. Don’t listen to anyone that says it’s not.”

Demis Hassabis recommendation for college students. He’s still do STEM, math and computer science. Expertise in those fields will help better leverage AI for at least next decade. Those in non-techical majors, really “lean in to” using latest models. AI labs spending so much time creating new models that they’ve only “scratched the surface” of what the models can actually do (huge “capability overhang”). And expertise in any field can be turbocharged by smart use of AI. “Double down on your own agency. The future is still to be written. Don’t listen to anyone that says it’s not.”

Bearly AI

217,984 次观看 • 1 个月前

🚨UNCANNY VALLEY: “WE’RE THE NEW ZEALAND OF AI”: HUGGING FACE ON INDEPENDENCE AND COMMUNITY TRUST Why do developers keep showing up? Not just for the tech, but for trust. clem 🤗: "It’s very important in today's world where you see more and more of the language models having biases... It's really important for us to stay very neutral, very independent.” In a world where LLMs are getting more and more... skewed, neutrality isn’t a bonus. It’s survival. Uncanny Valley with Hugging Face CEO clem 🤗 — only on 𝕏

🚨UNCANNY VALLEY: “WE’RE THE NEW ZEALAND OF AI”: HUGGING FACE ON INDEPENDENCE AND COMMUNITY TRUST Why do developers keep showing up? Not just for the tech, but for trust. clem 🤗: "It’s very important in today's world where you see more and more of the language models having biases... It's really important for us to stay very neutral, very independent.” In a world where LLMs are getting more and more... skewed, neutrality isn’t a bonus. It’s survival. Uncanny Valley with Hugging Face CEO clem 🤗 — only on 𝕏

Mario Nawfal

129,734 次观看 • 1 年前

👀 My Coaching Eye is excellent 👀 💡Through my system PSR, you can train yours to be too💡 We can all look at the same run and yet SEE different things.🧐 We can all listen to the same foot contacts and yet HEAR different things🙉. Why is that, and how do we create a common language? 📝I have done a deep down the rabbit hole of sprint biomechanics , snow balling through the research and coming out the other end with a simple model that demystifies the complex📝 ✅My System is PSR✅. You can now log into vuemotion to purchase a PSR report, directly from there software. What other models for sprint analysis have you found helpful?

👀 My Coaching Eye is excellent 👀 💡Through my system PSR, you can train yours to be too💡 We can all look at the same run and yet SEE different things.🧐 We can all listen to the same foot contacts and yet HEAR different things🙉. Why is that, and how do we create a common language? 📝I have done a deep down the rabbit hole of sprint biomechanics , snow balling through the research and coming out the other end with a simple model that demystifies the complex📝 ✅My System is PSR✅. You can now log into vuemotion to purchase a PSR report, directly from there software. What other models for sprint analysis have you found helpful?

Jonas Dodoo

12,774 次观看 • 2 年前

"Yes, it’s too soon to tell, but it is interesting that large language models, as opposed to social media, have tended to be much more aligned with what we would consider objective reality and truth. That is, I think it’s not so easy to get a large language model to endorse a ridiculous conspiracy theory, such as that the 2020 U.S. election was stolen or that COVID vaccines are actually microchips that Bill Gates is implanting to surveil us. All of those ideas are very easy to find on social media. And it may indeed be, as you say, that large language models tend to gravitate toward common priors—namely, all the knowledge that’s out there on the web. But, in particular, during pre-training and post-training—the fine-tuning process—they are engineered to be aligned with truth and reality. And that is because the AI companies have a different business model than the social media companies." From an episode of Scaling Theory with Thibault Schrepel: Steven Pinker on Common Knowledge, From Eye Contact to the Super Bowl

"Yes, it’s too soon to tell, but it is interesting that large language models, as opposed to social media, have tended to be much more aligned with what we would consider objective reality and truth. That is, I think it’s not so easy to get a large language model to endorse a ridiculous conspiracy theory, such as that the 2020 U.S. election was stolen or that COVID vaccines are actually microchips that Bill Gates is implanting to surveil us. All of those ideas are very easy to find on social media. And it may indeed be, as you say, that large language models tend to gravitate toward common priors—namely, all the knowledge that’s out there on the web. But, in particular, during pre-training and post-training—the fine-tuning process—they are engineered to be aligned with truth and reality. And that is because the AI companies have a different business model than the social media companies." From an episode of Scaling Theory with Thibault Schrepel: Steven Pinker on Common Knowledge, From Eye Contact to the Super Bowl

Steven Pinker

57,430 次观看 • 9 天前

I just posted a new video, originally made as part of a new exhibit at the Computer History Museum on the history of chatbots. My hope is that it offers a lighter-weight, but still substantive, intro to Large Language Models, complementing the more technical breakdown of the underlying architecture that other videos of the channel cover.

I just posted a new video, originally made as part of a new exhibit at the Computer History Museum on the history of chatbots. My hope is that it offers a lighter-weight, but still substantive, intro to Large Language Models, complementing the more technical breakdown of the underlying architecture that other videos of the channel cover.

Grant Sanderson

148,125 次观看 • 1 年前

NVIDIA CEO Jensen Huang just gave us a glimpse into the future of AI, and it's far bigger than text and images. He asked: "If you can understand worlds, is it possible that you understand proteins and chemicals that have structure?” This is the quiet revolution happening in AI right now. We're moving from an AI that understands human language to an AI that understands the language of nature itself. The "letters" are atoms. The "words" are molecules. The "sentences" are the complex structures of life, networks, and reality. The same foundational models that generate video are now being used to: *Decode proteins to fight disease *Design new materials at the atomic level *Simulate complex systems in quantum computing These were once the domain of supercomputers and Nobel laureates. Now, they're becoming solvable problems for a new generation of startups. AI is transitioning from a tool for communication to a tool for creation and discovery in the physical world. This is where the next wave of generational companies will be built. The "hard-to-solve" problems are now within reach.

NVIDIA CEO Jensen Huang just gave us a glimpse into the future of AI, and it's far bigger than text and images. He asked: "If you can understand worlds, is it possible that you understand proteins and chemicals that have structure?” This is the quiet revolution happening in AI right now. We're moving from an AI that understands human language to an AI that understands the language of nature itself. The "letters" are atoms. The "words" are molecules. The "sentences" are the complex structures of life, networks, and reality. The same foundational models that generate video are now being used to: Decode proteins to fight disease Design new materials at the atomic level *Simulate complex systems in quantum computing These were once the domain of supercomputers and Nobel laureates. Now, they're becoming solvable problems for a new generation of startups. AI is transitioning from a tool for communication to a tool for creation and discovery in the physical world. This is where the next wave of generational companies will be built. The "hard-to-solve" problems are now within reach.

Konstantine Buhler

13,014 次观看 • 8 个月前

Turns out that vision-language models can control robots too. The secret is to just finetune them to print out the actions (literally, as text). Really excited about our new result, the successor to RT-1. RT-2 is a pre-trained VLM: Short 🧵👇

Turns out that vision-language models can control robots too. The secret is to just finetune them to print out the actions (literally, as text). Really excited about our new result, the successor to RT-1. RT-2 is a pre-trained VLM: Short 🧵👇

Sergey Levine

165,052 次观看 • 3 年前

Truck Still Works is out now! It’s a throwback, but at the same time it’s a new set of wheels…it’s a new road to go down. Listen here:

Truck Still Works is out now! It’s a throwback, but at the same time it’s a new set of wheels…it’s a new road to go down. Listen here:

Brad Paisley

44,960 次观看 • 1 年前

Showrunner Terry Matalas on Vision and Ultron in the ‘VISION QUEST’: “AGE OF ULTRON that last scene of them is just one of my favorite scenes. That was the first thing I pitched to Marvel. Now Ultron isn’t quite the same, Vision isn’t quite the same so it’s going to be interesting to see how their dynamic is now” (Via:

Showrunner Terry Matalas on Vision and Ultron in the ‘VISION QUEST’: “AGE OF ULTRON that last scene of them is just one of my favorite scenes. That was the first thing I pitched to Marvel. Now Ultron isn’t quite the same, Vision isn’t quite the same so it’s going to be interesting to see how their dynamic is now” (Via:

CinXperience

55,130 次观看 • 9 个月前