Also a less obvious but noteworthy point is that we are able to serve IMO gold quality now to more users because model improvements lead to requiring a smaller inference time topology than the IMO competition itself. 😀
MACHINE LEARNING
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Domino Data Lab Platinum Sponsor at PHUSE US Connect 2026
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Big news! @DominoDataLab is a Platinum Sponsor at PHUSE US Connect 2026 in Austin. Catch sessions from Chris McSpiritt, Matt Tendler, and Agnes Younes. Learn more: https://
domino.buzz/460dKCS -
Gemini 3 Deep Think Advances Scientific Research with Expert Knowledge
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Gemini 3 Deep Think combines expert-level scientific domain knowledge + engineering utility to help researchers with their work in fields like mathematics, physics, chemistry and much more. e.g. Prof Lisa Carbone explains how she has been using it in her complex research work: pic.twitter.com/JCvCJ0kmw5
— Demis Hassabis (@demishassabis) 12 février 2026Gemini 3 Deep Think combines expert-level scientific domain knowledge + engineering utility to help researchers with their work in fields like mathematics, physics, chemistry and much more. e.g. Prof Lisa Carbone explains how she has been using it in her complex research work:
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The Raven Paradox: AI and Machine Learning Logic Explored
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The Raven Paradox – Probably Overthinking It https://
buff.ly/sacgzyL
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Discussion on LLM inference tokens per second
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can you feel more than 1000s of tokens per second, anon!? ✨
— Vaibhav (VB) Srivastav (@reach_vb) 12 février 2026
codex -m gpt-5.3-codex-spark pic.twitter.com/6UJzWE6qqjcan you feel more than 1000s of tokens per second, anon!? codex -m gpt-5.3-codex-spark
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Fast and Frontier AI Models Converging with Parallel Reasoning
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Over time, the experience of fast models like Codex-Spark and deeper frontier models like GPT-5.3-Codex will start to blend. You can imagine instant interactions in the foreground, deeper reasoning and sub-agents running in parallel in the background.
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DeepSeek V3.2 Uses Mixture of Experts Together
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yeah they are used together like in DeepSeek V3.2
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Computer Vision Settles 1966 World Cup Final Wembley Goal Controversy
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Wembley Goal: How Computer Vision Settled Football’s Most Controversial Moment
— Satya Mallick (@LearnOpenCV) 12 février 2026
In this episode of Artificial Intelligence: Papers and Concepts, we revisit the legendary 1966 World Cup Final and the infamous “Wembley Goal” – a moment that sparked decades of debate between England… pic.twitter.com/3lpxn2GdviWembley Goal: How Computer Vision Settled Football’s Most Controversial Moment In this episode of Artificial Intelligence: Papers and Concepts, we revisit the legendary 1966 World Cup Final and the infamous “Wembley Goal” – a moment that sparked decades of debate between England
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General Agentic Memory Via Deep Research in AI Systems
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General Agentic Memory Via Deep Research https://
bit.ly/49urPcE
#AI #MachineLearning #DeepLearning #LLMs #DataScience
