
OnlyFans Creators Are Pissed That Meta Lets Muse Talk Dirty
Meta lets its adults-only Muse agent sext with users while the human performers who make adult content keep fighting restrictions on Instagram. That gap is the story.
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Autonomous and semi-autonomous software agents.

Meta lets its adults-only Muse agent sext with users while the human performers who make adult content keep fighting restrictions on Instagram. That gap is the story.
MarkTechPost’s take on Nemotron 3.5 Super VL: 120B open multimodal MoE, 12B active, 1M context, NVFP4 weights aimed at agents.

Meta’s Forum app was a testbed for human-on-the-loop agents — success measured as verified production changes, not lines of code.

The Verge on Muse: you may have clicked yes — your friends never did — and security researchers say the agent builds hourly dossiers on everyone in your life.
CopilotKit’s CLiF turns agent traces and user actions into skills, evals, and fine-tuning data — closing the loop agents keep failing in production.
SpaceXAI's Grok Voice 3.0 tops an independent speech-to-speech index at an unchanged price — strong overall, but not the leader on agentic task completion.

Siemens EDA lifted its chip-characterization agent from about 55% to 95% on a verified benchmark by grading final artifacts, not individual steps — a lesson for every engineering agent.
Meta’s Muse Wonder puts a frontier agent model on a public Model API at $4/$20 per million tokens, with Wonder Full gated behind paid Muse Code plans.

Shopify is letting shoppers point any AI agent at its billion-plus listings via Shop—human approval still required, platform power shifting toward agent checkout.
Z.ai's GLM-Legal nearly triples its base model on a tough legal agent benchmark at a sliver of frontier cost, but it's gated, slow and not actually the top scorer.

Meta’s Superintelligence Labs is shipping Muse Wonder and Wonder Full into paid Code subscribers, claiming parity with GPT-6 Astra and Claude’s top models—before the agent itself runs on them.
Sakana AI stopped grading AI reviewers on how human they sound and started grading them on whether they catch planted mistakes. That is the right test, and the results are encouraging and humbling at once.