The shift happening right now is bigger than "which model should we use?" AI is becoming a new way of building software. That means leaders need to think in terms of: → test cases
→ evaluation frameworks
→ feedback loops
→ continuous optimization If you cannot define
RESEARCH
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AI as Software Development Paradigm Shift Beyond Model Selection
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MAGNet: Diffusion Forcing for Multi-Agent Social Motion Prediction
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Diffusion forcing is great for sequence modeling!
— Angjoo Kanazawa (@akanazawa) 31 mars 2026
We've been working on social behavior prediction but nothing's worked this well.
Representation matters: We encode motion with discrete latents & model relative relationships in a neat way. It handles multiple tasks & people! https://t.co/HpK0SiJ3iTDiffusion forcing is great for sequence modeling! We've been working on social behavior prediction but nothing's worked this well. Representation matters: We encode motion with discrete latents & model relative relationships in a neat way. It handles multiple tasks & people! Vongani Maluleke (@vonekels) When people share a space, their movements become intertwined. Embodied agents need to understand these social dynamics to interact effectively. Introducing MAGNet 🧲, a unified autoregressive diffusion forcing model for multi-agent motion generation that captures these interactions. MAGNet is flexible: predict the future, fill in missing motion, or have people react to each other, all while naturally scaling to N>2 people and generating ultra-long motion sequences. — https://nitter.net/vonekels/status/2037350776776061160#m
→ View original post on X — @berkeley_ai, 2026-03-31 15:00 UTC
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Heaviside Foundation Model for Electromagnetism Announced
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Today, we're announcing Heaviside, our foundation model for electromagnetism.
— Arya Hezarkhani (@_i_am_arya) 31 mars 2026
Trained on tens of millions of designs and over 20 years of proprietary simulation data, Heaviside predicts electromagnetic behavior from geometry in 13ms, which is 800,000x faster than a commercial… pic.twitter.com/hZCpq3mBzZToday, we're announcing Heaviside, our foundation model for electromagnetism. Trained on tens of millions of designs and over 20 years of proprietary simulation data, Heaviside predicts electromagnetic behavior from geometry in 13ms, which is 800,000x faster than a commercial solver. Heaviside is not a language model, and it’s not a surrogate model. Heaviside marks a new class of foundation model for physics which understands the fundamental relationships between materials, the geometries and the electromagnetic fields they generate. We’re releasing a research preview of Heaviside in Atlas RF Studio, an interactive agentic sandbox where you describe the EM behavior you want and the model generates the physical structure that produces it. @arenaphysica , we believe the implications of this class of model extend well beyond RF, as the frontier of exquisite hardware is electromagnetically-governed: wireless communication, radar, power delivery, high-speed computing, and the interconnects inside every chip on earth. In the months ahead, we’re excited to scale up Heaviside to broader frequency ranges, design spaces, and to support silicon-level designs, and deploy it with our closest partners and collaborators in service of their biggest design challenges. If you’ve read our thesis, this is just Step 2 in our pursuit of electromagnetic superintelligence. Read the full announcement and try Atlas RF Studio…tell us what you think: arenaphysica.com/publication…
→ View original post on X — @whiteafrican, 2026-03-31 14:53 UTC
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Elon Musk lunar domain AI cancer research initiative
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Dispo sur la lune ? Y'a @elonmusk qui est déjà sur mon site https://
x.lune.space je peux faire free . lune. space Les recettes seront pour la recherche contre le cancer, avec l'IA -
AI Upgrade Cycle: Expensive Misdirection
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The AI model upgrade cycle is the most expensive misdirection in enterprise software right now.
— God of Prompt (@godofprompt) 31 mars 2026
GPT-4 to GPT-5. Claude 3 to Claude 4. Gemini 2 to Gemini 3.
Billions reallocated. Accuracy still plateaued at 50%.
Hallucinations still shipping to production.
Confidently.… https://t.co/8WEjL7ti0e pic.twitter.com/2RCAwlt3w3The AI model upgrade cycle is the most expensive misdirection in enterprise software right now. GPT-4 to GPT-5. Claude 3 to Claude 4. Gemini 2 to Gemini 3. Billions reallocated. Accuracy still plateaued at 50%. Hallucinations still shipping to production. Confidently.
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RISE Framework Enables Robots Self-Improvement Through Imagination
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What if robots could learn complex, real-world tasks significantly faster and safer, all by just imagining? Jiazhi Yang and a team from The Chinese University of Hong Kong, Kinetix AI, and Tsinghua University just unveiled RISE. This framework lets robots self-improve by
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LeCun Accused of Repeatedly Appropriating Others’ AI Research
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Over and over and over LeCun borrows other people’s ideas and makes them sound like his own. It’s astonishing that the media never investigates, when the pattern has been so consistent for decades.
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ChatGPT capabilities and value evolution over time
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Not exactly. I said at that moment in time they could have done that, to make a point about the value of ChatGPT; I never advocated actually doing it because of the fact that models and capabilities evolve
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Mathematical Methods and Human Thought in Age of AI
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Mathematical methods and human thought in the age of AI Tanya Klowden, Terence Tao: https://
arxiv.org/abs/2603.26524 #ArtificialIntelligence -
Mathematical Methods and Human Thought in AI Age
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Mathematical methods and human thought in the age of AI Tanya Klowden, Terence Tao: https://
arxiv.org/abs/2603.26524 #ArtificialIntelligence