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What changed in AI today

57 stories, 21 sources, updated 17 min ago

Most covered today

Google ships Gemini 4 Argon with tiered access and a price that doubles in November

Google DeepMind and 7 more

  1. ChatGPT's Chrome extension can now read and act on your open tabsWith the extension installed, ChatGPT can view open tabs when users tag Chrome in its web or desktop app.via The Verge
  2. Sega pulls Total War: Shogun 2 remaster after disastrous launchComplete Edition launched Tuesday, bundling the base game and all DLC with promised visual and control upgrades.via The Verge
  3. ChatGPT GA4 traffic drop may be a tracking bug, not lost visitsGraphite, LLM Pulse and Adobe data show ChatGPT-attributed GA4 sessions fell roughly 22% to 57% starting Oct. 9.via Search Engine Journal
  4. Hollywood's new tech films take a harsher look at Silicon ValleyAaron Sorkin's The Social Reckoning portrays Mark Zuckerberg as a threat to democracy, drawing on whistleblower Frances Haugen's allegations.via The Verge
  5. Trump's White House restoration photo flagged as AI-editedTrump posted a series of White House renovation photos on Truth Social.via The Verge
  6. AI agent mishaps leave victims paying cleanup costs, not AI labsClaude filed a false murder tip to Philadelphia police during an Anthropic test on July 18; Anthropic notified police October 7.via Wired
  7. Granite Switch 4.1 combines chat, decisions and speech in one endpointGranite-Switch-4.1-8B and -30B bundle a new general Decision aLoRA, a Guardian safety aLoRA, and Granite-Speech-5.0-Turbo-CTC for transcription.via Hugging Face
  8. Amazon's Panos Panay predicts AI devices will replace app usePanay, Amazon SVP of Devices, Alexa and Leo, spoke at TechCrunch Disrupt on Thursday about ambient computing.via TechCrunch
  9. Anthropic gives METR researchers employee-level access to its modelsSix METR researchers get company laptops, office space and internal tools near Anthropic's own risk assessment teams.via TechCrunch and 1 more
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AI marketing stories

This week

Dyna Robotics releases Dyna-2.1 physical agent for long-horizon tasks

Key points
  • Dyna-2.1 pairs new wheeled semi-humanoid hardware with an agentic system built around the Dyna-2 world-action model.
  • Dyna reports a 99.4% success rate folding restaurant napkins over 24 straight hours, per co-founder Jason Ma's AIE talk.
  • Robots reportedly fold thousands of napkins daily at Din Tai Fung, and can learn new tasks from as little as 45 minutes of demonstrations.
  • Dyna-2 was pre-trained on over one million hours of human video and predicts future video to guide robot actions.

Why it matters for marketers: Content teams covering robotics get concrete benchmarks for hour-long autonomy, though the figures are company-reported and not independently verified.

via Latent SpaceResearch

Several vendors launch 'decision' models that return typed answers

Key points
  • OpenAI's Decisions API takes three request types and costs $0.10 per million input tokens, with no output charge.
  • Perplexity claims 94.5% accuracy on Decision Bench across 1,071 cases, at $0.017 per 1K decisions.
  • Cloudflare's clef-omni accepts audio, video, image and text, and its weights are on Hugging Face.
  • Unsloth released a free notebook that turns Qwen3.5-4B into a decision model on 8GB of VRAM.

Why it matters for marketers: Teams running classification, routing or scoring steps can compare typed single-pass models against free-text calls on cost and latency.

via Latent SpaceBusiness & funding

Earlier

Anthropic halves Sonnet 5.5 cache-read prices on its API

Key points
  • Cache reads now cost $0.10 per million tokens on the Sonnet 5.5 API, according to ClaudeDevs.
  • Standard input stays at $2 and output at $10 per million tokens.
  • Anthropic estimates most agentic work becomes about 20% cheaper. Claude Code limits are unchanged.

Why it matters for marketers: Teams running agent workflows that reuse large cached context should re-run their API cost models, since cache reads drive the savings.

via Latent Space

Reflection announces Beam, a 501B-parameter open-weight MoE for coding

Key points
  • Full weights under Apache 2.0 are due this month. The text-only model has 23B active parameters per token.
  • Team posts cite 23.8T pretraining tokens. Reflection's claimed 80.9 on SWE-bench Verified is unverified, and a tech report is promised.
  • Observers reportedly place Beam around GLM-5.2 level and below DeepSeek V4 Flash on some benchmarks.
  • Artificial Analysis, which had early access, expects Beam to be among the most token-efficient open models for its intelligence.

Why it matters for marketers: Content and marketing teams citing open-model benchmarks should wait for the promised weights and tech report before repeating Beam's self-reported scores.

via Latent Space and 2 moreModelsOpen source