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Latest AI news

Every AI story worth reading, collected hourly from the labs, the tech press, research and the creator economy. Sorted by time, grouped by topic.

3,485 stories · Every headline links to the original publisher. HapnGo curates and groups; we do not copy articles.

Code & Agents The Decoder

Google opens Android development to third-party AI agents and unveils new Gemini APIs

AI summary At its Android Dev Summit, Google said Android Studio Rabbit 2 can host more than 40 external coding agents, including OpenAI's Codex and Anthropic's Claude Agent, through a feature called "Bring Your Own Agent". An updated Android CLI let agents complete UI tasks 77 percent faster with up to three times fewer tokens in Google's internal tests. Google also added an alpha Agentic API built on Gemini Nano 4 for on-device agents and a Connected Apps Platform preview linking apps to the Gemini app and Search via MCP. With XREAL, it unveiled the XREAL AURA, Android XR glasses priced at $1,099 that ship from mid-November.

Code & Agents Simon Willison

GitHub Octoverse 2026

AI summary At GitHub Universe, executive Jay Parikh presented the company's annual Octoverse report, crediting agentic engineering for a sharp jump in activity. Monthly merged pull requests reached 220 million, roughly triple the level of less than a year earlier, while commits climbed past threefold to 7.38 billion a month, mostly in the second half of 2026. New repositories doubled to 30.3 million monthly. The report also adds breakdowns by industry, classified with a fine-tuned embedding model, and counts projects tied to interoperability or reverse engineering.

Models & Labs The Decoder

OpenAI teases Dots for Europe, but its Berlin DevDay was really about building a platform

AI summary At its DevDay Exchange 2026 event in Berlin, OpenAI said its assistant Dots should reach more European users within weeks, after discussions with regulators; personal Pro accounts in the EEA, Switzerland and the UK still lack access. The company reported that weekly active Codex users in Germany have risen twentyfold since January 2026, without giving absolute figures. OpenAI cited heavy resource needs and low demand for closing Sora in March and for not offering a video-understanding model. It also promoted the Agents API, plugins and reach to 1.2 billion weekly ChatGPT users to draw developers onto its platform.

Models & Labs The Decoder

Claude for Legal now verifies sources automatically, then hands the file to a lawyer

AI summary Anthropic has added pre-built interactive artifacts to Claude for Legal, part of Claude Enterprise, after requests from legal teams since the product's May debut. The tools help with jobs such as checking citations, reviewing contracts against internal rules, following draft legislation and comparing laws between countries, with the model tying each claim to its source before a lawyer checks the output. Over 60 integrations, Bloomberg Law among them, let users link their own databases, while firms including PwC and Harvey offer their own tools on the platform. Anthropic says built-in settings uphold data protection and information barriers between teams.

Creators & Marketing Search Engine Roundtable

Google Explains Why 404 Errors Aren't Scary 👻

AI summary Google released a Halloween-themed episode of its Non-Canonical Cabinet video series, under 10 minutes long, in which Gary Illyes and Cherry Prommawin address myths about missing pages. They said 404 status codes trigger no penalties, do not hurt other pages on a site and do not use up crawl budget, while 500-class server errors and HTTP 429 responses can cause Google to slow crawling. Fixing 404s was described as a business and user-experience choice, with a three-step approach: redirect only to a truly relevant replacement, otherwise return a 404 or 410, and offer a helpful custom error page. They also advised against sending all dead URLs to the homepage.

Models & Labs The Decoder

New Artificial Analysis index widens the gap between open and closed models

AI summary Artificial Analysis released version 5 of its Intelligence Index, in which Kimi K3.1 Pro slid from fourth to ninth, trailing eight closed models. The firm now measures a 12-point gap between open models and the leaderboard leader, compared with 3 points before. Private test sets now make up 60 percent of the index to counter training on known benchmark questions, and Grok 4.7 lost 12 points under the change. Researcher Nathan Lambert argues that reinforcement learning infrastructure also explains the differences between labs.

Policy & Society 404 Media

Objection, your honor

If you're in the EU or UK, you might be able to object to Meta's new AI scraping terms. Also: this week's pod's out and more from…

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