The future is electromagnetic. One challenge is that there are ~ten people in the world who can deeply intuit electromagnetism. RF engineering is "black magic." Arena Physica thinks machines can intuit EM better. CEO Pratap Ranade & I on AI for EM:
MACHINE LEARNING
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Sakana AI Develops Doc-to-LoRA for LLMs Without Additional Training
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An article featuring an interview with Sakana AI's Rujikorn Charakorn and Robert Lange, who led the development of the new technology "Doc-to-LoRA" that enables LLMs to reflect document content without additional training, has been published in Nikkei Cross Tech @nikkeibpITpro
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AI Training Shifting from Real Data to Synthetic Sources
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Jensen: AI training is shifting from real-world data to synthetic. Most information we share is already created, not natural. As AI enhances this synthetic data, training will soon be limited by compute power, not data availability. pic.twitter.com/cXgs2kp4pt
— Chubby♨️ (@kimmonismus) 24 mars 2026Jensen: AI training is shifting from real-world data to synthetic. Most information we share is already created, not natural. As AI enhances this synthetic data, training will soon be limited by compute power, not data availability.
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OpenReward Launches 330+ RL Environments API Platform
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The @GenReasoning team just launched OpenReward! One API for 330+ RL environments, autoscaled sandbox compute, and 4.5M+ unique RL tasks. Plugs into Tinker, Miles, and Slime out of the box. The missing piece of RL infra! Give it a try 🙂
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OpenReward: 330+ RL Environments Through Single API
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Introducing OpenReward. 🌍 330+ RL environments through one API ⚡ Autoscaled sandbox compute 🍒 4.5M+ unique RL tasks 🚂 Works like magic with Tinker, Miles, Slime Link and thread below.
→ View original post on X — @soumithchintala, 2026-03-24 12:00 UTC
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NeurIPS 2026 Handbook available official conference source
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Source:
https://neurips.cc/Conferences/2026/MainTrackHandbook
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DM0: Embodied-Native VLA Framework for Physical Understanding
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How do we build AI that truly understands the physical world from the ground up, not as an afterthought? A team from Dexmal & @StepFun_ai just unveiled DM0, a groundbreaking Embodied-Native Vision-Language-Action (VLA) framework. Unlike adapting web-trained models, DM0 learns
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Discussion on Neural Network Inputs and Recurrent Loops
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J'ai pas compris la question ? Comment ca l'entrée c'est du bruit ? Le type d'instrument c'est encodé sur des neurones dans l'input layer, et sur les récurrent loop ?
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AI Shifts from Innovation Bet to Boardroom Accountability
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#AI Is No Longer An #Innovation Bet—It Is A Boardroom Accountability Issue
by Amit Basu @Forbes Learn more: https://
bit.ly/4t1NH7s #MachineLearning #ArtificialIntelligence #ML -
Festo’s Bio-Inspired Engineering: From Fins to Wings
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From Fins to Wings: Festo’s Bio-Inspired Engineering in Motion
— Ronald van Loon (@Ronald_vanLoon) 24 mars 2026
by @lukas_m_ziegler#Robotics #MachineLearning #ArtificialIntelligence #ML #MI #Innovation pic.twitter.com/xhEfGaPFqsFrom Fins to Wings: Festo’s Bio-Inspired Engineering in Motion
by @lukas_m_ziegler #Robotics #MachineLearning #ArtificialIntelligence #ML #MI #Innovation