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Yesterday, we dropped our latest AI model: Gemini 3.7 Flash ⚡️ our most intelligent workhorse model yet for coding and agents. Just 1 day later, we’re already impressed by the creativity we’ve seen. Here are a few of our favorite ways we’ve seen people use 3.7 Flash so far ⬇️

News Flash⚡ We’re bringing Gemini 3.7 Flash to Search! ->Better at following instructions + understanding your intent, so you get even more helpful responses. ->Rolling out today globally in AI Mode for Google AI Pro & Ultra subs in English. Click the ‘+’ icon to select the model.

Yesterday we introduced Gemini 3.7 Flash, our most intelligent workhorse model yet for coding and agents. Watch @Ammaar, Member of the Technical Staff at @GoogleDeepMind, use 3.7 Flash to turn simple prompts into playable games 👾

We promised open weights for Qwen3.8. Now, time to meet them! 🎉 ⚡ Qwen3.8-27B: - A native multimodal dense model. With just 27B parameters, it outperforms Qwen3.7-Plus overall and shines in real-world coding & office workflows. - 262K native context, easily extendable to 1M tokens via YaRN. - Built for builders. Highly efficient, high-quality, and licensed under Apache 2.0. 🚀 The open weights for Qwen3.8-2.4T-A95B (Max-level) have also been released recently. Whether you're shipping lightweight applications with Qwen3.8-27B locally or building agents with Qwen3.8-2.4T-A95B, they're yours now! Download, deploy, and build something we haven't imagined yet. 👀👇 - Hugging Face： - ModelScope：

2026.8.9 Model：@iocos69 伊織いお🐸 伊織いお生誕祭2026撮影会（都内某所） ※掲載許可確認済 #伊織いお# #いおサーチ# #伊織いお生誕祭2026#

Introducing GLM-5.3: Built to Code. Ready for Cyber Defense. - Top-tier coding and agentic capabilities, achieved through post-training on the 743B base model - A major leap in cybersecurity, setting a new standard among open models Tech Blog:

There's a ton of good stuff in here, but to me this is the part that everyone mainstream is overlooking. It's literally the most important part. "It's ironic that today orbital datacenter compute is considered a niche...because the model suggests it will be a necessary condition for AI continuing to scale in the 2030s."