🚀 Google Launches Gemini 3 Flash

PLUS : Mistral Ships OCR 3

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Google isn’t slowing down as 2025 wraps up. Gemini 3 Flash, its new high-speed reasoning model, is 2x faster and 5x cheaper than GPT-5, all while taking the #2 spot on the global leaderboards. Let’s unpack…

Today’s Summary:

  • 🚀 Google launches Gemini 3 Flash

  • 🧾 Mistral unveils OCR 3 document AI

  • 📈 2025 AI Year in Review

  • 🧠 Anthropic open-sources Agent Skills

  • 🌍 OpenAI launches ChatGPT Go low-cost tier

  • 🧑‍💻 Developers can now submit ChatGPT apps

  • 🛠️ 2 new tools

TOP STORY

Google launches Gemini 3 Flash high-speed reasoning model

The Summary: Google released Gemini 3 Flash, a new model focused on speed that has climbed to #2 on the global LMArena leaderboard just behind Gemini 3 Pro. It replaces 2.5 Flash across the Gemini ecosystem and also drives AI Mode in Google Search. The model stays within the Gemini 3 Pro intelligence tier while running at high speed and low cost.

Key details:

  • Processes 218 tokens per second, 2x faster than GPT-5

  • Now the default for the Gemini app and Google Search AI Mode

  • Developers report it’s faster than Gemini 3 Pro with same quality

  • Handles text, code, and video through full multimodal reasoning

Why it matters: Google is consolidating its lead not only with the smartest model but also with the smartest and fastest. Gemini 3 Flash begins to run in real time with the user queries, making high-level reasoning cheap enough to automate at scale. Google ended the year with a string of superior releases that tighten its lead on the AI frontier.

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MISTRAL AI

Mistral launches OCR 3 AI

Key details:

  • Under $1 per 1,000 pages for bulk jobs

  • Can reconstruct tables with merged cells and multi-row headers

  • Handles multilingual and handwritten documents

  • Integrated with Mistral AI Playground and API

Why it matters: Mistral is betting that the real enterprise AI bottleneck is paper. The moat now is clean, structured data, and Mistral OCR 3 can turn static PDFs and handwritten content into precise structured data at scale. Companies still buried in scanned invoices and compliance forms shouldn’t remain locked out of the new data economy.

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YEAR IN REVIEW

2025 AI Year in Review

The Summary: Andrej Karpathy says that much of AI’s progress in 2025 came from Reinforcement Learning from Verifiable Rewards (RLVR), a new post-training technique used in "reasoning models". RLVR trains against problems with clear correct answers, like math puzzles, producing models that think through problems step-by-step.

Key details:

Why it matters: In 2025, AI moved from discovery to adoption. Developers started to realize the quality of reasoning AI tools is now production-ready, enterprises deploy for measurable outcomes, and knowledge workers explore how to use AI tools to augment themselves. The industry crossed from "can we build it?" to "how do we integrate it?".

TOOLS

🥇 New tools

That’s all for today!

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