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Models2026-08-11 · source-backed
The essay argues concentrating superintelligence in a few labs is the real risk, organized around individual empowerment, invention, and balance of power. Concrete commitments: a "personal superintelligence" agent for every user, an America's Workforce Academy with free trades training and guaranteed jobs, and open-weight releases restarting with Muse Glimmer and a version of Muse Spark 1.2. TechCrunch and The Verge both published same-day pieces arguing the essay is itself the clearest explanation of why people dislike AI. Rare case where the primary document and its reception are equally worth reading.
Each link below shares sources, entities, or timing with this story.
For about a year, "run your agent locally" meant accepting a model that couldn't reliably call a tool twice in a row. That excuse is gone. Meta Superintelligence Labs published Muse Glimmer today: a 29.6B dense causal transformer, 52 layers, 6,656 hidden dim, with a ~1.8B ViT-...
Muse Spark 1.1 launched July 9: multimodal reasoning, built for tool use, computer use, and multi-agent orchestration, 1M-token context, $1.25/1M input and $4.25/1M output through a new Meta Model API in public preview for US developers. It undercuts GPT-5.6 Terra on both side...
LeCun's AMI Labs raised $1.03B at $3.5B pre-money — Europe's largest-ever seed round. Investors include NVIDIA, Jeff Bezos, Samsung, Toyota. LeCun's thesis: LLMs are fundamentally wrong for intelligence because they learn from text, not the physical world. AMI will build "worl...
TechCrunch's tracker counts 267 events affecting 185,894 workers, with big cuts at Oracle (~30K) and Meta (~8K). Yet engineering roles are the most resilient, down just 11% against a 25% overall hiring drop, and engineers are 55% of new tech hires. The signal: AI is compressin...
The essay argues closed frontier labs risk concentrating too much power in too few hands, framing American open weights as the answer to Chinese open-source models (FT, corroborated by CNBC and Fortune). The sharpest lines: "I do not understand why anyone who believes that AI...
The Natrium design delivers 345 MW baseload and ramps to 500 MW for over five hours using integrated molten salt thermal storage, roughly 45% above baseload without burning more fuel. That load-following profile is what datacenter operators actually need, and it's the pitch be...
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