Large-scale online deanonymization with LLMs Lermen et al.: https://
arxiv.org/abs/2602.16800 #ArtificialIntelligence #AIAgents
RESEARCH
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Large-scale deanonymization attacks using language models
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Jensen Huang on AI Expanding Human Potential and Computing’s Future
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"Every carpenter, every accountant, every student, will use AI to build.”
— NVIDIA (@nvidia) 23 mars 2026
Jensen Huang on how AI expands human potential, reshapes work, and defines the next era of computing.
New episode with @lexfridman out now. https://t.co/K6Kn3G9I14"Every carpenter, every accountant, every student, will use AI to build.” Jensen Huang on how AI expands human potential, reshapes work, and defines the next era of computing. New episode with @lexfridman out now. Lex Fridman (@lexfridman) Here's my conversation with Jensen Huang, CEO of NVIDIA, the most valuable & one of the most influential companies in the history of human civilization. It is the engine powering the AI revolution. This was a fascinating & inspiring conversation, in parts super-technical on engineering of every part of the AI stack, memory, power, supply chain (TSMC, ASML, etc), in parts about leadership & psychology, and in parts personal & philosophical about life, consciousness, mortality, and human nature. It's here on X in full and is up everywhere else (see comment). Timestamps: 0:00 – Introduction 0:33 – Extreme co-design and rack-scale engineering 3:18 – How Jensen runs NVIDIA 22:40 – AI scaling laws 37:40 – Biggest blockers to AI scaling laws 39:23 – Supply chain 41:18 – Memory 47:24 – Power 52:43 – Elon and Colossus 56:11 – Jensen's approach to engineering and leadership 1:01:37 – China 1:09:50 – TSMC and Taiwan 1:15:04 – NVIDIA's moat 1:20:41 – AI data centers in space 1:24:30 – Will NVIDIA be worth $10 trillion? 1:34:39 – Leadership under pressure 1:48:25 – games 1:55:16 – AGI timeline 1:57:29 – Future of programming 2:11:01 – Consciousness 2:17:22 – Mortality — https://nitter.net/lexfridman/status/2036123301140111406#m
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Plan and Budget Framework Optimizes LLM Token Efficiency
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Is your LLM wasting valuable tokens "overthinking" or "underthinking" complex tasks? MIT CSAIL, Virginia Tech, University of Virginia, and Michigan State University present Plan and Budget. This new framework helps LLMs decompose complex problems into manageable sub-questions
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Jensen Huang Interview: NVIDIA, AI, Leadership and Consciousness
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Here's my conversation with Jensen Huang, CEO of NVIDIA, the most valuable & one of the most influential companies in the history of human civilization. It is the engine powering the AI revolution.
— Lex Fridman (@lexfridman) 23 mars 2026
This was a fascinating & inspiring conversation, in parts super-technical on… pic.twitter.com/RJ6aOgHY4OHere's my conversation with Jensen Huang, CEO of NVIDIA, the most valuable & one of the most influential companies in the history of human civilization. It is the engine powering the AI revolution. This was a fascinating & inspiring conversation, in parts super-technical on engineering of every part of the AI stack, memory, power, supply chain (TSMC, ASML, etc), in parts about leadership & psychology, and in parts personal & philosophical about life, consciousness, mortality, and human nature. It's here on X in full and is up everywhere else (see comment). Timestamps: 0:00 – Introduction 0:33 – Extreme co-design and rack-scale engineering 3:18 – How Jensen runs NVIDIA 22:40 – AI scaling laws 37:40 – Biggest blockers to AI scaling laws 39:23 – Supply chain 41:18 – Memory 47:24 – Power 52:43 – Elon and Colossus 56:11 – Jensen's approach to engineering and leadership 1:01:37 – China 1:09:50 – TSMC and Taiwan 1:15:04 – NVIDIA's moat 1:20:41 – AI data centers in space 1:24:30 – Will NVIDIA be worth $10 trillion? 1:34:39 – Leadership under pressure 1:48:25 – games 1:55:16 – AGI timeline 1:57:29 – Future of programming 2:11:01 – Consciousness 2:17:22 – Mortality
→ View original post on X — @lexfridman, 2026-03-23 16:49 UTC
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Uni-1 understands the real and eliminates the need for perfect prompts
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Uni-1 → understands how something real should look This changes something key: You don't need to perfect prompts.
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AI Solves First Open Problem from FrontierMath Benchmark
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EPIC! It's confirmed that the AI has solved the first mathematical problem from the FrontierMath: Open Problems benchmark, which consists of problems that remained unsolved despite attempts by the mathematical community. The first of many more to come!
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Contradictory statements about OpenAI insider knowledge and loyalty
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Two possibilities: Either he's saying this now as an employee of OpenAI out of loyalty (which I find hard to imagine), or option two, because he's seen how far along the models are internally (more likely). Because his two statements strongly contradict each other.
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Uni-1: Revolutionary Model Combining Thinking and Pixel Generation
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Uni-1 is here! A new kind of model that thinks and generates pixels simultaneously. Less artificial. More intelligent. pic.twitter.com/2p8kSq4Jtf
— Luma (@LumaLabsAI) 23 mars 2026Uni-1 is here! A new kind of model that thinks and generates pixels simultaneously. Less artificial. More intelligent.
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Identity Recognition AI: 68% Accuracy Risk Demands Policy Action
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68% at 90% precision from public posts alone is sobering. Most people have no idea how much identity signal they leak across platforms. This is exactly the kind of capability research that should inform policy before it becomes a product.
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Machine Learning: Tom Mitchell Interviews Ross Quinlan on Decision Trees
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🎙️New episode of Machine Learning: How Did We Get Here? @tommmitchell talks to Ross Quinlan, the person who introduced the idea of decision tree learning to the ML community. ▶️Listen on Spotify: open.spotify.com/episode/5EF… [Translated from EN to English]
→ View original post on X — @stanfordhai, 2026-03-23 15:45 UTC