Lets go: Google’s next Gemini model is expected to compete with GPT-5.5 Google is reportedly preparing to unveil a new Gemini model at I/O, positioning it near OpenAI’s recent GPT-5.5 rather than the more elusive Anthropic Mythos. Google i/o got even more exciting
MACHINE LEARNING
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Hölder Policy Optimisation paper and code
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Hölder Policy Optimisation Paper: https://
arxiv.org/abs/2605.12058
Code: https://
github.com/YihangChen9/Ho
lderPO
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HölderPO: single-parameter fix to prevent AI training collapse
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Wow, fixing one simple parameter could stop your AI training from collapsing! UCL, Shanghai Jiao Tong University, and HKUST (Guangzhou) present HölderPO. Instead of summing token probabilities in a fixed way, HölderPO uses a flexible averaging trick controlled by a single “p”
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Peking University Researchers Unveil SEAlign for AI Code Agents
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Why can't top code models handle real-world software engineering? Researchers from Peking University unveil SEAlign — a new alignment framework that trains code agents on actual software workflows. Instead of just solving coding puzzles, it uses Monte Carlo Tree Search to
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Operational Usage of AI Agent Teams
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Agent teams count as interactive usage, so draw from your sub
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Object Counting Powered by Computer Vision
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Seeing Is Counting: Object Counting Powered by Computer Vision
— Ronald van Loon (@Ronald_vanLoon) 14 mai 2026
by @Ultralytics#Innovation #EmergingTech #TechForGood pic.twitter.com/BQaO9DipEaSeeing Is Counting: Object Counting Powered by Computer Vision
by @Ultralytics #Innovation #EmergingTech #TechForGood -
ProgramBench: A New Benchmark for Evaluating AI Agents in Software Development
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Can AI build an entire software project from scratch, not just fix one bug? Researchers at Meta FAIR, Stanford, and Harvard introduce ProgramBench. This benchmark tests if language-model agents can take a program’s documentation and build a full codebase that behaves
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Rutgers Engineering Implements Autonomous AI for Manufacturing
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Rutgers Engineering Using Autonomous AI and Machine Learning for Manufacturing! @RutgersSOE #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless
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AI engine convergence through action memory
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Engine has knowledge of previous actions, so should converge
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Debating the definition of world models in AI systems
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I do not think there is a useful defensible definition of “no world model” which survives a model being able to position a character in three space then depict that character in a mirror in the same three space. Many people, who unquestionably have world models, would struggle.