That is really really impressive: GPT-5.4 pro has solved one of the open problems in FrontierMath. Kevin Barreto and Liam Price, using GPT-5.4 Pro, produced a construction that Will Brian confirmed, with a write-up planned for publication We are accelerating
GENERATIVE AI
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GPT-5.4 Pro Outperforms Other Models for Complex Tasks
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GPT-5.4 Pro continues to be the only model of its class. For anything really hard & complex, I throw it into the maw with every bit of context I can think of. More often than not, something very useful comes out. I can't get the same results from Codex or Code or anything else.
→ View original post on X — @mattshumer_, 2026-03-23 17:43 UTC
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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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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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Executive ELT Training Sessions Claude Code Codex
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we do 1-day ELT training sessions for top startups and Fortune 500s if you're an executive and want to get your hands in Claude Code, Codex, and more:
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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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Testing Uni-1 AI image-to-photo conversion capabilities
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He estado probando Uni-1 y esto es bastante loco: Le pasas una imagen claramente “IA”… y la convierte en algo que parece una foto real.
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Pretraining LLMs entirely on Hugging Face Hub infrastructure
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You can now pretrain LLMs entirely on the HF Hub 💥 Last week, @OpenAI launched a competition to see who can pretrain the best LLM in under 10 minutes. So over the weekend, I made a little demo to automate this end-to-end using the Hub as the infra layer: – Jobs to scale compute – Buckets to store all experiments – Trackio to log all the metrics The cool thing here is that everything is launched locally: no ssh shenanigans into a cluster or fighting with colleagues over storage and GPUs ⚔️ All that's left is coming up with new ideas, but luckily Codex can automate that part too 😁 Can I have a job now please @reach_vb 🙏?
→ View original post on X — @thom_wolf, 2026-03-23 16:29 UTC
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The Only AI Subscription You Need Stay Edge
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the only subscription you need to stay at the edge of ai:
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Agentic Workflows Transform Software Development Automation
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Agentic workflows for software development https://
buff.ly/SiF4PdH
#AI #MachineLearning #DeepLearning #LLMs #DataScience