NemoClaw - Page 3
Stories from NemoClaw come first, newest first, then stories from connected topics (OpenClaw, Open Source, Nvidia, AI Agents, AI Agents, AI), each labelled with where it comes from. This view is not indexed by search engines.
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Meta, Google and TikTok Sue Over California AB 1709
California AB 1709: Meta, Google/YouTube and TikTok sue over under-16 feed and autoplay bans; Act effective 1 Jan 2027; up to $50,000 per minor.
Five9 to Acquire Level AI in About $325m Cash Deal
Five9 Level AI: Five9 agrees to buy Level AI for about $325m cash; close expected in 2026; apps stay standalone and inside Genius CX.
Thinking Machines Ships Inkling 2 Small Via Tinker
Inkling 2 Small: Thinking Machines’ 594B MoE (17B active), vision, 1M context; closed weights on Tinker now, Apache 2.0 planned after safety testing.
Cursor Live Apps: Cloud Agents Build and Host Web Apps
Cursor Live Apps: cloud agents scaffold apps with optional Postgres and SSO, run security checks, and go live only after you explicitly publish.
Claude Adds Personal Finance Beta With Plaid Bank Links
Claude personal finance US beta on Pro/Max/Ultra links banks via Plaid read-only; up to 16 banks, 24 months of data; hub chats not used for training.
NATO Opens Counter-Drone Marketplace With 16 Solutions
NATO counter-drone: NCIA selects 16 solutions from five firms under Drone Edge; 18-month frameworks; EUR 3.1m testing; Allies buy from the NATO catalogue.
DOJ Launches Super Intelligence Task Force Under Woodward
Super Intelligence Task Force: DOJ forms DOJ-SITF under Woodward and Weiss, merging Bondi’s AI Task Force; public launch 5 Nov after an October memo.
Panasonic T-Rex Tactile Robot AI Hits 65% in Lab Tests
Tactile robot AI: Panasonic T-Rex averages 65% on 12 contact-rich tasks vs 35% best baseline; 42% without touch. Lab evaluation, not a product.
METR Says Anthropic AI R&D Pace Is About Twice Historical
METR assessment: Anthropic AI R&D ~2x historical pace (uncertain 1.3–3x); AECI ~1.9x; ~80% AI-attributed is METR’s guess; heavy redactions.
Google Open-Sources XLA Serving Engine for C++ Inference
XLA Serving Engine: Google open-sources XSE for train-in-Python, serve-in-C++; claims 2–5x throughput. Not for large LLMs.
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