Pro is great but flash is not far behind.
LLMS
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Is Gemini 3 Pro the model behind this reasoning?
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If reasoning – is it Gemini 3 Pro in this case?
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Increasing Context Length and Model Capacity: Expensive Trade-offs
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Either
a) you increase the context length and/or let the model crawl through stored data
b) you start of with a model that has large enough capacity and periodically update the weights
Both options are expensive, so I am not sure they actually want this right now. -
Google Launches Gemini 3 Flash for Fast Frontier AI
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Making the final days of 2025 count Here’s everything we dropped this week: — Gemini 3 Flash, bringing fast frontier intelligence at a fraction of the cost to surfaces like @GeminiApp
, AI Mode in Google Search, @GoogleAIStudio
, Vertex AI, and more — CC, a @GoogleLabs -
Mixture of Experts Models: Current Perspectives and Efficiency
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Poll: How Are You Thinking About Mixture of Experts (MoE) Models Today? MoE architectures scale model intelligence by routing each request to a subset of specialized “experts,” improving efficiency. Which best matches your current perspective?
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Gemini 3 Pro Update and Performance Advancements Expected
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BREAKING : Gemini 3 Pro is expected to get another update soon with advancements that enabled Flash to have a comparable performance. General Availability before NY?
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OpenAI Adopts SKILLs Standard for Codex Task Configuration
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OpenAI is adopting the SKILLs standard in Codex, introduced by Anthropic recently, to configure specific and reusable task instructions.
— 🚨 AI News | TestingCatalog (@testingcatalog) 19 décembre 2025
– ✅ MCPs
– ✅ SKILLs https://t.co/nsI6AI6lLv pic.twitter.com/Rf6lISeViEOpenAI is adopting the SKILLs standard in Codex, introduced by Anthropic recently, to configure specific and reusable task instructions. – MCPs
– SKILLs -
Codex Skills Support: Automating Linear Tickets and GitHub CI Fixes
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Excited for Codex to support skills!
— Romain Huet (@romainhuet) 19 décembre 2025
This thread shares examples of skills we’re shipping, inspired by how we use Codex internally at OpenAI, like having Codex automatically update Linear tickets or fix GitHub CI failures. https://t.co/f9WWP9GMf2Excited for Codex to support skills! This thread shares examples of skills we’re shipping, inspired by how we use Codex internally at OpenAI, like having Codex automatically update Linear tickets or fix GitHub CI failures.
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Querying Gemini Live integration with Notebooks
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Wondering if you would be able to speak to your Notebooks via Gemini Live as well. Nice addition!
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ODB-dLLM: Faster Parallelizable Diffusion-Based Language Models
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Diffusion-based LLMs are fast and parallelizable, but bidirectional attention makes inference expensive due to repeated prefill and decoding. Enter ODB-dLLM, a dual-boundary framework with adaptive prefill length prediction and dLLM-specific jump-share speculative decoding.