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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

Earlier

AI helps senior patent lawyers build judgment but not junior ones, study finds

Key points
  • Three-month randomized trial with 133 lawyers at eleven IP firms tested a Google Labs patent drafting assistant.
  • Senior lawyers (7+ years) scored 0.45 SD higher on unassisted redlining after 90 days of AI access.
  • Junior lawyers showed no average redlining gain; their scores split into more very low and more good results.
  • Drafting quality rose for everyone, with 0.38 SD gain at 90 days and faster junior work, 18 minutes ahead of control.

Why it matters for marketers: Content and marketing teams using AI should test unassisted skill, not only output speed, when training junior staff, since gains may not transfer.

via Google ResearchResearch

Google's PDFM location embeddings improve five global public health tasks

Key points
  • Mount Sinai and Boston Children's Hospital raised MMR vaccination variance explained from 16% to 22% using Canadian cross-border embeddings.
  • NYU Grossman researchers found PDFM matched census-based models on 2023 county cardiovascular death estimates, and it covers 17 countries versus ACS's U.S.-only data.
  • With TimesFM 2.0, PDFM improved one-month dengue forecasts in up to 72% of active transmission municipalities in Mexico, per the partner researchers.
  • University of Washington researchers reported PDFM improved postpartum depression risk prediction in states the model had not seen during training.

Why it matters for marketers: Teams that rely on census or lagged surveillance data can test PDFM as a fresher, drop-in location input for geographic targeting and forecasting.

via Google ResearchResearch

Google Research report maps open privacy and security problems for AI agents

Key points
  • Report from a workshop of more than 50 academic and industry researchers, held late 2025 in New York City.
  • Built on Contextual Integrity, which judges privacy by whether information flows fit established social norms.
  • Proposes a contextual policy engine as a supervisor layer that checks whether an action is appropriate before data leaves the user's workspace.
  • Calls for standardized multi-agent benchmarks, such as dynamic "Agent Gym" sandboxes, to create a shared safety baseline.

Why it matters for marketers: Content and marketing teams using agents to handle customer data should expect stricter, context-based controls on what information agents can share and act on.

via Google ResearchPolicy & safety