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Philipp Schmid
@_philschmid
Agents & Gemini API, MTS @GoogleDeepMind | prev: Tech Lead at @huggingface, AWS ML Hero 🤗 Sharing my own views and AI News 🧑🏻‍💻
1.2K Following    118.3K Followers
Awesome Gemma is live on @github 🤗 A list of awesome Gemma resources, tools, and projects. 1. Model cards and collections for 16 Gemma variants 2. Setup guides for Ollama, vLLM, and LiteRT 3. Fine-tuning recipes for Unsloth, Tunix, and MLX 4. Community tutorials, apps, and demos Have an awesome project, tool, or guide? Open a PR. 👉
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Gemini 3.7 Flash just took #1# on @ArtificialAnlys new AA-AnalystAgent. AA-AnalystAgent evaluates against 80 real-world quantitative analysis tasks across 14 business and scientific domains (finance, healthcare, hydrology, government appropriations). The Agent run inside an isolated Python 3.12 sandbox using AA's open-source Stirrup harness. They receive reference spreadsheets (.xlsx) and documents (.docx) alongside standard data libraries (pandas, polars, openpyxl, scipy, PyMuPDF) to inspect schemas, write scripts, handle edge cases, and calculate final figures. Gemini 3.7 Flash: • Accuracy: #1# with 60.0% pass^5 (70.5% pass@1, 77.5% pass@5) • Speed: 1.32s per task (fastest) • Cost: $0.54 avg per task (middle)
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Gemini Managed Agents give Gemini 3.7 Flash a dedicated Linux sandbox in a single API call. The agent gets an isolated environment with pre-installed runtimes for Python, Node.js, Git, and Bash. It has full network access, filesystem I/O, and background process execution. Environments persists across interaction using `environment_id`. Repositories cloned, packages installed, and files generated in turn one remain available in subsequent turns. It is included in the @GoogleAIStudio free tier, so you can build and test complete agent workflows with Gemini 3.7 Flash for free:
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Gemini 3.7 Flash: "Play 1 round of Wordle" using my Android emulator via ADB. The latency and visual reasoning make Gemini 3.7 Flash exceptionally good for multimodal agentic use case like mobile control and Computer Use.
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Gemini 3.7 Flash is so fast that it can generate entire interactive websites in real time as you browse. Type URL or idea → it generates a complete website from scratch in real time. Try it yourself 👉🏻  [Video is 1x and not accelerated]
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Day 1 vibe check on 3.7. What’s good? What’s annoying/bad? What should we focus on next? Honest feedback wanted!
If you are going to test/use Gemini 3.7 in @NousResearch Hermes or @openclaw. Please let me know how it goes.
Surprise drop today: Gemini 3.7 Flash. On AutomationBench, it beats models that cost twice as much. The progress here is insane. 3 weeks ago Gemini's 3.6 Flash scored 19.8%. Today, 3.7 is the first model to crack 30% on AutomationBench. At only 3 cents more per task. 𝗪𝗵𝗲𝗿𝗲 𝗶𝘁 𝘄𝗶𝗻𝘀: Marketing (38%), Finance (37.5%), Sales (28.2%), and Support (22%) Example: Confirm a project is done in the CRM, then run our standard label cleanup on its email threads. Archive the closed ones, leave restricted ones alone. 3.7 was a full pass in 22 steps. GPT-5.6 Sol failed the same task in 8, then hallucinated a summary. 𝗪𝗵𝗲𝗿𝗲 𝗶𝘁 𝗹𝗼𝘀𝗲𝘀: Operations. Opus 5 still runs that domain at 50%. Example: On a revenue-attribution task, 3.7 ran the math, updated the records, posted the summary, sent the escalation, and then never wrote the one required row on a second tracker. Came close, but still failed. How @Zapier's AutomationBench works: we score every new model on 657 of the hardest workflows we run. Scoring is deterministic: either the right records got updated and the right messages got sent, or they didn't (no partial credit) @GeminiApp’s 30% is a new record. See every model and price here:
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It is not only a good and cost effective! It is blazing fast! 🔥
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Forward to community
We shipped a small Gemini API Update! You can now combine Google Maps and Google Search tool at the same time with Gemini to build cool location apps.
Introducing the Gemma Translator project DIY translation device, powered by Gemma 4 E2B Using a Raspberry Pi and LiteRT, built with Antigravity, and open source!
Got a couple of Gemini agents working together on a thing, they named themselves Castor and Pollux, and I'm in love with that.
Off for the next 7 days 🏝️👋 you can leave wishes below for what I should work on when I am back.
Cool Test!
gemini 3.5 flash is sooooooo good at image reasoning image reasoning is when the model has to actually think about what it sees not just label objects or read text it needs to connect the facts and figure out what’s going on reasoning trace: current order top to bottom: 654, 770, 655, 771, 772 target order: 654, 655, 770, 771, 772 LIS is 4: 654, 655, 771, 772 slide 770 between 655 and 771 answer: 1
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We're launching computer use in Gemini 3.5 Flash today. Give your agent a screen and a goal, it figures out the actions. - Supports browser, mobile (phones), and desktop as environments - Integrated safeguards, user confirmation, auto-stop on prompt injection - Additional training against prompt injection - Native tool build into the main Gemini 3.5 Flash model. I've been using this to test our docs. I told id "audit this (url) page, run the code snippets and find issues" and it navigates through, screenshots, and comes back with a report.
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