What if AI agents could not only collaborate but also learn from their own failures and evolve? Researchers from Xi'an Jiaotong University, Lenovo, and the University of Sydney present a new survey. They introduce the LIFE progression: build agent capabilities, integrate them
MACHINE LEARNING
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Techniques for randomness and diversity in language model outputs
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Summary of things: – turn up randomness and ban the most likely words (temperature + min-p + XTC sampling)
– ask for several different options at once, seed each with random constraints (verbalized sampling + entropy injection)
– give it a memory of what it's said and pick the -
Top AI Engineers Delete Noise Data More Than They Build
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The best AI engineers I know spend more time deleting than building. Not their code. The data their models see. Here’s what I mean. When an AI agent fails a task, tools often send everything back to the model:
logs, stack traces, retries, debug output. Most of it is noise. -
oMLX supports the standard HF cache directory
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Great news: oMLX, by @jundotkim, now supports the standard HF cache model directory. Great MLX server for local AI! GG!
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RL Scaling Laws for LLMs: From Pretraining to RL
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Awesome blogpost! RL Scaling Laws for LLMs How scaling laws have evolved from pretraining to reinforcement learning… https://
cameronrwolfe.substack.com/p/rl-scaling-l
aws
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Presentation of the paper ‘Agents’ Last Exam’ on arXiv
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Agents' Last Exam Paper: https://
arxiv.org/abs/2606.05405
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Claude Fable 5 claims #1 on DeepSWE Bench with 66% Pass@1
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Claude Fable 5 has debuted on DeepSWE Bench with a 66% Pass@1, claiming the #1 spot and edging out GPT-5.5. The result reinforces a broader trend across recent coding benchmarks: strong raw performance combined with consistent reliability and efficiency in real-world software
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Gemini for Science Could Accelerate Next Big Breakthrough
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Gemini for Science Could Accelerate the Next Big Scientific Breakthrough
— Ronald van Loon (@Ronald_vanLoon) 12 juin 2026
by @GoogleDeepMind#ArtificialIntelligence #MachineLearning #EmergingTech #FutureTech pic.twitter.com/mTaw3V7quUGemini for Science Could Accelerate the Next Big Scientific Breakthrough
by @GoogleDeepMind #ArtificialIntelligence #MachineLearning #EmergingTech #FutureTech -
Throwaway debug code used by model to track down the bug
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It's not code for shipping, it's throwaway debug code the model used to help track down the bug
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Physical AI Boom: 11 Companies Leading the Next Tech Revolution
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The Physical AI Boom: 11 Companies Building The Next Tech Revolution #PhysicalAI is moving artificial intelligence from screens and software into #robots, #drones, self-driving #vehicles and #intelligent #machines. Here are the companies leading the race to bring #AI into the