Google is making schools opt into its AI products, and search is now part of that bundle. If you're running Google Workspace for Education, nothing AI-related turns on by default anymore. Schools that want zero AI can leave everything off.
Here's the catch. Search is treated as part of Google's AI portfolio, so schools that want web search for logged-in student accounts have to turn it on deliberately. When they do, they must pick between standard AI features and the Guided Learning version. Google has no option for plain search without AI, and it says it won't build a toggle to turn AI off in search. If you build tools or curricula on top of Google's education stack, expect support tickets from teachers asking where the old search went.
The controls are finer-grained than before. Schools can disable Gemini apps while leaving search active for students, or block all Google AI, including the AI inside search, while keeping Gmail, Docs, and Drive running. Google says the policy offers more choice and control, and it hasn't changed the policy since announcing it. Backlash from educators and parents is already loud.
Worth watching: Google lost the DOJ search antitrust case, which limits how much of its web index rivals can access. That could give other providers room to build a real alternative. Other search engines already offer settings to turn AI off, which makes Google's choice look like a deliberate bet on AI-first search.
Tencent just dropped Hy4, and it's the first model from them that can actually look at images. It also landed at the top of an open-source financial analysis blind test, beating DeepSeek, Kimi, and GLM. Open-source models have been trailing on the messy, high-stakes stuff, so this one is worth your attention.
If you're building agents or internal tools, the hallucination numbers are the part to read twice. Hy4 cut its hallucination rate from 12.95% to 7.2%, and errors from unsupported assumptions dropped from 23.1% to 5.6%. That's the difference between a demo and something you'd let near a spreadsheet. It's also tuned for chart analysis, CAD and Blender-style work, and multi-step business logic, so frontend and backend orchestration tasks got attention too.
The raw numbers: 3.04 on the financial evaluation across 579 real tasks, versus 2.97 for DeepSeek-V4.1-Flash-1017 and 2.68 for both Kimi K3.1 Pro and GLM-5.3. WorkBuddy scored an average of 83.18 with a 96.15% pass rate. Game dev benchmarks rose 19.1% on GameDev and 9.8% on GameLogic. The API is already reachable through OpenRouter, Hermes, and OpenCode.
Watch the weak spot: Tencent admits open-ended experimental design lags frontier models. Benchmarks are Tencent's own, so run your evals before you bet a product on it. Let's dive deeper…
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