AI agent makers race to promise privacy, from OpenClaw to Muse to Dots

Developer of the Steam demo "Teach my little sister how to drive" went into debt covering roughly $1,000 per day in AI inference costs to keep the demo running, per Kotaku. The AI-fueled driving simulator's running costs outpaced what the demo earned.

The LoRAlab Trainer Studio now supports MOSS-Image, enabling LoRA training for the Apache 2.0 model on hardware with under 6 GB of VRAM. It is the 12th model family integrated into the studio, which uses 4-bit NF4 loading for consumer GPUs.

A r/ChatGPT poster argues recent models (Astra and 6) need everything spelled out explicitly and lack agency and initiative, unlike GPT 5.6, which added imaginative details unprompted.

A r/Singularity gallery post titled "New chinese model benchmark scores are INSANE!" shares benchmark charts, but the snippet contains no model name, scores, or source.

Analog Devices argues the next AI hurdle is acting under imperfect measurements, timing constraints, and real-world consequences, not better model performance. The Wilmington, Mass. company says success requires advances across sensing, simulation, computing, connectivity, and control.

Meta removed a provision, effective October 30, that let it crawl and use content from domains "associated" with business accounts to "train" its AI products. Legal experts told Nieman Lab it could override robots.txt and dodge licensing fees; Meta says crawling behavior is unchanged.

Matthew Berman's video shows Gemini 4 Argon generating a Fall Guys-style game. The clip is a creator demo, not an official Google release announcement.