Today, we closed our latest funding round with $122 billion in committed capital at an $852B post-mo...
By @OpenAI
OpenAI announces closing its latest funding round: $122 billion in committed capital at $852B post-money valuation.
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Executive synthesis
The AI community was jolted by OpenAI closing a record $122 billion funding round at an $852B valuation, with TheRundownAI contextualizing the staggering revenue trajectory — $2B/month, 900M weekly users, and 50M paid subscribers.
On the research and ecosystem front, Research_FRI shared a comprehensive study showing economists expect major AI progress but muted near-term GDP impact. Coinbase provided a striking real-world case study — cutting ticket-to-PR time from 8 days to 12 hours. HuggingFace CEO Clement Delangue marked a milestone with the TRL v1.0 release powering post-training for most open models.
Primary evidence
By @OpenAI
OpenAI announces closing its latest funding round: $122 billion in committed capital at $852B post-money valuation.
By @ID_AA_Carmack
John Carmack provides a detailed technical review of the LeWorldModel paper, which applies JEPA (Joint-Embedding Predictive Architecture) to world models for robotics. He analyzes the architecture choices, SigReg loss, latent dimensions, predictor design, dropout, planning via CEM, and shares his own experience trying JEPA on Atari games.
By @OfficialLoganK
Google's Logan (OfficialLoganK) announces Veo 3.1 Lite, their most cost-efficient video generation model, plus upcoming price reduction for Veo 3.1 Fast on April 7th.
By @AndrewYNg
Andrew Ng writes a lengthy post about anti-AI coalitions manipulating public sentiment. Discusses how different fear messages (extinction, warfare, environment, jobs, children) are tested for effectiveness. Supports White House federal preemption framework for AI regulation. Warns against state-level regulations that could stifle AI, drawing parallels to how anti-nuclear propaganda led to millions of pollution deaths.
By @svpino
SVPino reports that Claude Code's source code was leaked, criticizing the AI-writes-everything-without-review culture. Very high engagement suggests broad concern.
By @Research_FRI
Research_FRI shares results of a comprehensive study on how economists and AI experts think AI will affect the US economy. Key findings: economists predict major AI progress but no dramatic economic shift. Under rapid AI progress, GDP growth hits 3.5%, labor force participation drops to 55% (~10M fewer jobs), and top 10% would hold 80% of wealth by 2050.
By @karpathy
Karpathy reports a new npm supply chain attack on axios (300M weekly downloads), shares personal near-miss, and argues package managers need better defaults to prevent infection spread through unpinned dependencies.
By @karpathy
Karpathy proposes analogy to Guido van Rossum: LLM = CPU (statistical, vague), Agent = operating system kernel. Data is tokens not bytes, dynamics are statistical not deterministic.
By @aparnadhinak
Aparna Dhinakaran shares a talk by Coinbase's AI-Native Engineering lead about how they went all-in on AI: reduced ticket-to-PR time from 8 days to 12 minutes, time to production from 7.8 days to 1.8 days, using context graphs and 'superbuilders'.
By @ClementDelangue
Clement Delangue (HuggingFace CEO) announces TRL v1.0 release - the library used to post-train most open models, featuring 75+ methods including SFT, DPO, GRPO, and async RL. Six years from first commit.
By @GaryMarcus
Marcus highlights Opus 4.6 scoring only 4.17% on the Remote Labor Index, arguing this proves AGI is far away. Calls those claiming proximity to AGI 'lying or lost'.
By @emollick
Mollick criticizes that in 2026, scientific papers are still uploaded only as formatted PDFs to archive sites with download limits, showing how slowly the scientific system is adapting to AI's potential to accelerate science.