Google Universal Cart unifies products from Gemini and Search
Now rolling out in the U.S., Universal Cart saves products from different retailers across Gemini and Google Search in one place and tracks price and inventory changes.
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Now rolling out in the U.S., Universal Cart saves products from different retailers across Gemini and Google Search in one place and tracks price and inventory changes.
The free AI for Educators course on OpenAI Academy is now available in Brazilian Portuguese, while Study Mode guides students through step-by-step reasoning with questions and hints.
OpenAI’s Rosalind Academic Plan offers eligible U.S. university labs free ChatGPT Business access for up to 12 months and GPT‑Rosalind access after approval.
SentinelOne says it uses OpenAI Daybreak to complete detailed malware reverse engineering in roughly eight hours, compared with the four to six weeks such work can require.
Agreement Analyzer, developed by Sullivan & Cromwell with OpenAI, compares contract provisions against precedents and negotiation playbooks, then produces a memorandum and tracked changes for lawyers to review.
Google DeepMind says Antigravity and ProtNLM scanned millions of uncharacterized proteins and identified a new antimicrobial peptide candidate now moving through lab validation.
Amp is extending its OpenAI-powered agent beyond coding into product planning, documentation, page design, and voice-based agent management.
Google DeepMind and the Singapore Government are developing a Gemma-based scam detection system that analyzes conversations in two stages without sending them off-device; in-app deployment will be phased.
The research system uses Codex and the GPT‑6 family to run thousands of agents through long experiment chains, with an outer supervisor handling unfinished work.
The open-weight model brings image generation, editing, and combinations of up to 10 references to smaller local hardware.
Developers can upload robot data, adapt a model on managed infrastructure, and use hosted inference on real robots.
A two-stage classifier and preserved-thinking controls reduced extracted reasoning data by 90–99 percent in Anthropic’s measurements.
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