AI AGENTS CAN NOW TEST YOUR UNCOMMITTED LOCAL CODE DIRECTLY IN THE CLOUD Zero commits. Zero pushes. No waiting for CI loops. … and it’s entirely open-source! A new project called Crabbox just dropped, and it fixes the slowest part of cloud-dependent development.
SUSTAINABILITY
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AI agents learn to predict remaining budget intervals to avoid waste
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Can AI agents learn to stop wasting resources on doomed tasks? Researchers from Northwestern, Michigan, Cornell, Stanford & others introduce BAGEN. It trains agents to predict remaining budget intervals and alert users early, instead of blindly overspending. Key results:
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Sun’s power for AI could multiply human intelligence millionsfold
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It is humbling to consider that if we harness just 1 millionth of the Sun’s power for AI, that will be much more than a million times the intelligence of all of humanity
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Stellar performance of a 3B model through post-training refinements
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Stellar performance from a 3B model. These results were achieved primarily through post-training refinements on Qwen2.5-Coder. The paper doesn't provide many details, but it appears they distill from RL ckpts and then do a final RL-based instruct RL. https://
arxiv.org/abs/2606.16140 -
Energy: The Foundation of AI’s 5-Layer Cake
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Energy is the foundation of the 5-Layer Cake of AI. As demand for AI accelerates, energy is the key constraint on growth. From energy and utilities to surface and underground operations — AI, digital twins, and agents
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AI-Powered Mosquito Traps Mimic Humans to Fight Bugs Without Chemicals
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#AI-Powered Mosquito Traps Mimic Humans to Fight Bugs Without Chemicals
— Ronald van Loon (@Ronald_vanLoon) 13 juin 2026
by @XHNews#EmergingTech #Innovation #Technology #Tech #TechForGood pic.twitter.com/PSdIAdjhrd#AI-Powered Mosquito Traps Mimic Humans to Fight Bugs Without Chemicals
by @XHNews #EmergingTech #Innovation #Technology #Tech #TechForGood -
NVIDIA GB300 outperforms H200 by 20x in agents per megawatt
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Among other findings the benchmarks shows that NVIDIA's GB300 outperforms H200 by a whopping factor of 20 in terms of running concurrent agents per megawatt. 3/4
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Asynchronous AI Cuts Energy by Orders of Magnitude while Learning Continuously
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Asynchronous #AI cuts computing energy by orders of magnitude while learning continuously
by Daegan Miller @TechXplore_com Learn more: https://
bit.ly/4fuihmz #MachineLearning #ArtificialIntelligence #DL #ML -
TCN-QRNN Model for Short Term Energy Consumption
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TCN-QRNN Model for Short Term Energy Consumption! #BigData #Analytics #AI #MachineLearning #DataScience #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
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Need for sustainable scaling and governance in AI self-improvement transition
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The critical transition is from teleop-trained to self-improving systems. Many organizations miss the need for sustainable scaling strategies to support this leap. It's not just about the technology, but the governance frameworks to manage 'dangerous, valuable' AI responsibly.