Anthropic Court Win Meets Meta Silicon and New AI Research — August 31, 2026

Anthropic won a federal ruling vacating Trump-era blacklisting of Claude, while Meta detailed MTIA 300 networking-on-chip and PsiBot raised $100 million—signals that AI’s policy, infrastructure, and robotics fights are all moving at once.
In this episode
Trump blacklisting of "woke" Anthropic deemed illegal by federal judge — Ars Technica
The Trump administration's blacklisting of Anthropic was illegal, a federal judge ruled in an order vacating government directives against the use of the firm's AI technology. The government illegally retaliated against Anthropic by designating it a supply-chain risk to national security, said yesterday's ruling by Judge Rita Lin in the US District Court for the Northern District of California.…
Meta bakes networking on-chip in custom silicon designed to cut CPU hops - SDxCentral — SDxCentral
Meta bakes networking on-chip in custom silicon designed to cut CPU hops - SDxCentral
READ: How Meta re-engineered its storage stack for AI
# Meta bakes networking on-chip in custom silicon designed to cut CPU hops
MTIA 300’s house onboard NICs to ditch PCIe bottlenecks
August 28, 2026 By Ben Wodecki
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– Meta
Meta has put networking front and center in its next-generation…
Embodied-AI startup PsiBot raises over $100 million with industrial investors joining · TechNode — TechNode
Embodied-AI startup PsiBot raises over $100 million with industrial investors joining · TechNode
PsiBot, a Chinese embodied-AI startup focused on dexterous manipulation, has completed a new funding round of more than US$100 million. The round includes Ningbo Tuopu Group, a Chery Holdings-backed fund, Lens Technology, 37 Interactive Entertainment, Wuhu Investment Holding Group and Fosun Fortune…
Identify, Locate, Link: End-to-End Key-Value Extraction from Document Images for ICDAR 2026 - IBM Research — IBM Research
Identify, Locate, Link: End-to-End Key-Value Extraction from Document Images for ICDAR 2026 - IBM Research
## Abstract
Document processing pipelines traditionally cascade optical character recognition (OCR) engines with downstream models for structured information extraction, leading to multi-stage error propagation. We fine-tune SmolDocling, a compact 256M-parameter vision-language model…
LLMs Are Not (Consistently) Bayesian: Quantifying Internal (In)consistencies of LLMs’ Probabilistic Beliefs - Apple Machine Learning Research — Apple
LLMs Are Not (Consistently) Bayesian: Quantifying Internal (In)consistencies of LLMs’ Probabilistic Beliefs - Apple Machine Learning Research
research area Methods and Algorithms
published August 2026
# LLMs Are Not (Consistently) Bayesian: Quantifying Internal (In)consistencies of LLMs’ Probabilistic Beliefs
AuthorsChacha Chen‡, Matthew Jörke†‡**, Adam Goliński, Masha Fedzechkina, Guillermo…
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