A new biography examines a crucial figure in the AI race economist.com/culture/2026/0… [Translated from EN to English]
→ View original post on X — @mfordfuture, 2026-04-01 18:10 UTC
RESEARCH
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New Scientific Publication Available on AlphaXIV
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read more:
https://www.alphaxiv.org/abs/2603.18297 [Translated from EN to English]→ View original post on X — @askalphaxiv, 2026-04-01 17:53 UTC
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Path-Constrained Mixture-of-Experts Improves MoE Routing Consistency
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"Path-Constrained Mixture-of-Experts" MoE models may be wasting signal by routing too independently. In a standard MoE, each layer picks experts independently, so across L layers with N experts you get N^L possible expert paths. That path space is so huge that most routes barely get any learning signal. So this paper PathMoE fixes this with a very simple idea: share router parameters across small blocks of consecutive layers, so tokens follow more coherent paths through the network instead of constantly changing paths. Not only are the paths now interpretable, it opens up new ideas like global path design. On a 0.9B MoE, it improves average downstream accuracy by +2.1 points, and around 4% improvements on a 16B model. Routing is cleaner too, 79% vs 48% routing consistency across layers, 11% lower routing entropy, and 22.5x more robustness to routing perturbations, all without needing an auxiliary load-balancing loss!
→ View original post on X — @askalphaxiv, 2026-04-01 17:53 UTC
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AIE Europe London Conference: Free Ways to Attend Next Week
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so AIE Europe is completely taking over London next week! very very hyped to showcase the best companies, research, and AI engineers in Europe! 3 COMPLETELY FREE ways to join in: – there are a dozen side events around town! from Snorkel to GitHub to Arize to ClawCon and
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AI Policy Reviewer Feedback on Policy A and B Options
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PREDICTION 2026-2027 will bring a new era for opensource AI An era that will be DOMINATED by American opensource labs pushing the frontier of open models >The gap between close & open models will get narrower, not widen as many speculate This tweet is for history, bookmark it
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NVIDIA Participates in HumanX with Sessions and Startup Competitions
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We're joining thousands of builders at @HumanXCo next week. ⭐ Bryan Catanzaro, VP of Applied Deep Learning Research, unpacks AI as a five-layer cake on Opening Night
🤝 NVIDIA Inception Roundtable–Founder and Investor Networking
🎤 Two startup pitch competitions, in partnership with Mayfield and Google Cloud
🗺️ 40+ Inception startups exhibiting on the showfloor Check out these key sessions and highlights: nvda.ws/4143RkL [Translated from EN to English] -
AI Breakthrough in Microscale Simulation
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Can AI finally unlock the secrets of life's smallest structures through simulation? The Chinese University of Hong Kong, Shenzhen and collaborators present a groundbreaking AI. They first show existing video generation models fail at accurately simulating microscale phenomena.
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AI Research Paper and ICML Conference Update
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People who got tricked into buying a Mac mini by the Mac grifters now have a way to actually use them for local models
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Google DeepMind Reveals AI Agent Traps Framework for Web Security
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NEW paper from Google DeepMind: AI Agent Traps. elvis (@omarsar0) NEW paper from Google DeepMind The biggest threat to AI agents isn't a smarter attacker. It's the web itself. This work introduces the first systematic framework for understanding how the open web can be weaponized against autonomous agents. The paper defines "AI Agent Traps": adversarial content embedded in web pages and digital resources, engineered specifically to exploit visiting agents. The taxonomy covers six attack classes targeting different parts of the agent architecture like perception (hidden instructions in HTML/CSS) and memory (RAG poisoning and latent memory corruption). The attack surface is no longer just the model. It is every web page, every retrieved document, every piece of content the agent ingests at inference time. Hidden prompt injections in HTML already partially commandeer agents in up to 86% of scenarios, and latent memory poisoning achieves 80%+ attack success with less than 0.1% data contamination. This paper maps where the defenses are weakest and where the research community needs to focus next. Paper: papers.ssrn.com/sol3/papers.… Learn to build effective AI agents in our academy: academy.dair.ai/ — https://nitter.net/omarsar0/status/2039383554510217707#m