Z Media
Contact

AI News

What changed in AI today

57 stories, 21 sources, updated 16 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
Subscribe by RSS

AI automation stories

Earlier

AVEVA stresses safe, governed path to autonomous industrial AI

Key points
  • AVEVA's Arti Garg says industrial AI now uses foundation, physical and agentic models, raising safety and predictability concerns.
  • Garg describes a triple mandate for responsible AI: secure, efficient including environmentally, and preserving human safety and oversight.
  • Garg says AI should augment rather than replace people in critical decision loops, with guardrails defining where systems can act.
  • Garg is involved in an IEEE working group developing a standard for measuring AI's environmental impact, including water and carbon.

Why it matters for marketers: Content teams promoting industrial AI should expect buyers to ask about human oversight, governance and environmental impact, not only capability claims.

via MIT Technology Review and Latent SpaceAgents & automationResearch

Sponsored report: Weak enterprise knowledge stalls most AI agent projects

Key points
  • Survey of 300 data, AI, and technology executives found only about 34% of agentic AI projects reach production.
  • Production leaders, averaging 61% of projects past pilot, reportedly have stronger knowledge capabilities, especially around semantics.
  • Data fragmentation was the top challenge to expanding agent knowledge access, cited by 55% of respondents.
  • Investment priorities include ingestion pipelines, AI-ready APIs, retrieval-augmented generation, evaluation agents, and knowledge graphs.

Why it matters for marketers: Content and data teams should audit how organizational data is shared and structured before scaling agent deployments, since knowledge gaps appear to block production.

via MIT Technology ReviewAgents & automation

Predictive analytics shifts toward autonomous AI decision making in 2026

Key points
  • Source frames 2026 as past debate over whether predictive models beat statistical forecasts; focus is now acting on conclusions.
  • Real-time training lets AI evolve continuously rather than waiting for quarterly model refreshes.
  • Newer predictive engines draw on messy, unstructured sources such as customer interactions, not only numerical records.
  • Everest Group's Vishal Gupta says the word 'analytics' is giving way to AI.

Why it matters for marketers: Content and analytics teams should plan for AI systems that act on predictions, not just report them, while watching for drift from business intent.

via MIT Technology ReviewAgents & automation