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Public story · 2026-03-14 · source-backed
Controlled experiments on r/MachineLearning show Meta's COCONUT ~97% ProsQA performance is attributable to training quality, not latent reasoning — recycled hidden states actually hurt generalization on out-of-distribution inputs.
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Designed with Broadcom, built by TSMC, going into manufacturing after a six-week test run found no major issues (Reuters). Iris supplements rather than replaces Meta's Nvidia/AMD GPUs and supports a buildout targeting 7GW by end-2026 and 14GW in 2027 against up to $145B in 202...
Meta Compute will sell excess AI compute and model access against AWS, Azure, and Google Cloud, backed by up to roughly $145B in 2026 infrastructure spend. CoreWeave shares fell 14% on July 8 as the market read Meta as a credible neocloud threat. For anyone renting GPUs, anoth...
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-...
The leaderboard says first place. The methodology says you should check your own bill. Qwen3.8 Max now ranks first on Artificial Analysis' agentic index, scoring 86.1 on OSWorld-Verified ahead of GPT-5.6 Sol Max at 83.2 and Fable 5 at 85.0, priced at $2.00/M input and $6.00/M...
The models are good. The license is the real story. Google released Gemma 4 on April 2 with four variants: E2B, E4B, 26B MoE, and 31B Dense. All built on the Gemini 3 architecture. The 31B Dense variant claimed #3 on Arena AI's text leaderboard, beating models 20x its size. Th...
$1.25 input / $4.25 output per million tokens for the standard tier. $0.10 / $0.20 for the Contributor tier, where Meta trains on your usage and feedback. That's roughly 12x on input, 21x on output, and it's the clearest number anyone has published on what your proprietary sou...
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