全部 AI 动态

Over the next 28 days, each day we’ll either ship one thing that is a clear improvement and relevant for most codex/work users or ship a full reset. Let the improvements begin.

You can’t safely test an enterprise agent on a real company’s data. So we built a company for it to work in. Era is live today, and it’s free. It generates a complete simulated enterprise that behaves like a real one across Salesforce, Slack, Jira, Zendesk, Gong, Deel and more, along with cloud databases and storage. Agents interact with it through live MCP and API interfaces. People leave. Deals change. Records get duplicated. Permissions differ across systems. And because Era generated the company, it knows the exact ground truth. Test, benchmark and improve agents against realistic enterprise workloads, use the failures for targeted post-training, then rerun the same environment to measure the impact. Huge thanks to our research partners @NVIDIA, @Decart, @Composio, @openlayerco, @Deel, @Eragon and @Plurai, with more coming soon.

Everyone got a coding agent. Nobody got a QA engineer. Until today. Meet Ship, your Autonomous Quality Engineer. It tests deployed PRs, reproduces bugs from Slack and Linear, and hands Claude or Codex the context to fix them. Try it free: https://ship.contextqa.com

AI-related employment is surging: AI-linked roles have accounted for more than +750,000 new jobs created in the US since 2023, according to LinkedIn estimates. This surge has been led by data annotators, with +282,000 new positions created, followed by data center jobs at +117,000, and AI engineers at +105,000. As a result, these 3 categories have accounted for +504,000 new jobs. AI-related positions also offer significantly higher pay, with a median salary of ~$180,000 on LinkedIn, compared to $80,000 across all jobs. This comes as the rapid expansion of AI infrastructure, particularly the buildout of data centers, is driving stronger demand for labor. The AI boom is reshaping the US job market.

Today we have set out how we’re building AI to accelerate science and improve people’s lives. Just some examples in the last week or so: - Mapped all 9B possible single letter genetic changes across the human genome with AlphaGenome Atlas and made it openly available to researchers. - Billions of decisions depend on weather predictions so we introduced WeatherNext 3, our most accurate and capable global weather AI model to date. - We published AI & Economy ATLAS, a comprehensive open-access look at how people are using AI globally. - AI has enabled extraordinary advances in language translation. Today our services are available in nearly 300 languages, spoken by 7B people We’re focusing our efforts on four key areas: health, natural disaster and weather resilience, learning, and economic opportunity. https://blog.google/innovation-and-ai/technology/ai/ai-applications-science-people/

Computer built a GeoGuessr LLM that poinpoints the location of an image, and shows all of its thinking steps. It used the Perplexity SDK for web search, local place lookups, source page retrieval, and visual clue extraction. It also used browser control to set up a Cesium account and API key for the 3D globe and satellite imagery.

this is unreal… the SpaceXAI engineer who leads Grok Bot, Lauren Tan - shipped 2,500 PRs last month - and reviews them after they land, in the morning I took SpaceXAI's Grok Bot docs + her 1-hour livestream and turned them into a 3-page prompting blueprint: the 10-field prompt structure, the 4-rung trust ladder, the two loops, and the guardrails that let agents ship while you sleep. send this PDF to your Grok Bot, save it as a skill, and turn it into an always-on team that actually finishes work

Here are 5 examples of inline visualizations that Computer can create directly in your thread: 1. Show me how a jet engine works in an inline 3D cutaway.