Meta has reportedly delayed its next-generation AI model, codenamed "Avocado," pushing its mid-March release to May at the earliest. Internal benchmarks showed the model lagging behind rivals from Google, OpenAI, and Anthropic in reasoning and coding, leading leadership to even weigh licensing Gemini.
Google just upgraded Structured Outputs in the Gemini API, adding full JSON Schema support that works out-of-the-box with Pydantic and Zod. The update brings support for unions, recursive schemas, and strictly preserves key ordering across Gemini 2.5 models. For developers building multi-agent systems, it means finally putting an end to broken JSON responses in production.
Google Search just upgraded its AI Mode with conversational visual exploration and shopping. Instead of fiddling with filters or struggling to describe a vibe in words, you can now chat naturally, upload photos, and refine results on the fly. It is rolling out in English across the U.S. this week.
Google just expanded AI Mode in Search to Hindi, Indonesian, Japanese, Korean, and Brazilian Portuguese. Powered by a custom version of Gemini 2.5, it taps multimodal reasoning to provide locally relevant answers rather than simple machine translation.
Google just officially launched Jules out of beta, making its asynchronous coding agent publicly available. The tool uses Gemini 2.5 Pro to draft coding plans, integrates with GitHub issues, and supports multimodal inputs. It is rolling out to Google AI Pro and Ultra subscribers with higher usage limits, alongside a free year for eligible college students.
Google just launched AI Mode for Search in the UK, designed to tackle messy, multi-part queries that usually take multiple searches. Powered by a custom Gemini 2.5 model, it breaks down your prompt into subtopics and fires off multiple searches simultaneously using query fan-out. It works with text, voice, and camera inputs, showing up as a dedicated tab on web and mobile.
Google just introduced conversational image segmentation for Gemini 2.5. Instead of relying on single nouns, the model parses relational instructions like "the car farthest away" or abstract ideas like weather damage to return pixel-level masks via a single API call.
Google just upgraded Gemini Code Assist with its flagship Gemini 2.5 models, boosting reasoning and code generation. Developers can now feed entire folders into chat via a 1M token context window, set project-wide rules, create custom shortcut commands, and switch between multiple saved chat sessions. Personal users can try it for free in VS Code or JetBrains IDEs.
Google just rolled out implicit caching to Gemini 2.5 models, automatically slashing token costs by 75% on repeated prompt prefixes without requiring any manual cache setup. The team also lowered the minimum token thresholds to 1,024 for Flash and 2,048 for Pro. Why it matters: Developers can now cut API bills simply by structuring fixed prompts upfront.
Google just released Gemini 2.5 Pro Experimental, its newest flagship model that reasons through thoughts before answering. The model immediately took the #1 spot on LMArena, boasts a 1-million-token context window, and hits new highs on math and coding benchmarks like SWE-bench. It is available right now in Google AI Studio and for Gemini Advanced subscribers.
