We rebuilt how MoE models generate tokens on Blackwell GPUs, resulting in 1.84x faster inference and more accurate outputs. These improvements directly contribute to how we train Composer, allowing us to ship improved versions of the model more often.
MACHINE LEARNING
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Neuro-symbolic AI efficiency breakthrough beyond robotics applications
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5/ If neuro-symbolic AI scales beyond robotics into language models and search, we could see a future where powerful AI no longer requires a power plant behind it. The paper drops in May at ICRA Vienna. The efficient AI era might be closer than we think.
→ View original post on X — @kimmonismus, 2026-04-06 20:42 UTC
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Hybrid System Achieves 95% Accuracy With Minimal Energy Consumption
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On a planning puzzle, the hybrid system hit 95% accuracy vs. 34% for standard models. Training took 34 minutes instead of 36 hours. Energy use dropped to 1% during training. It didn't just use less power, it got dramatically smarter. [Translated from EN to English]
→ View original post on X — @kimmonismus, 2026-04-06 20:42 UTC
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Neuro-Symbolic AI: Combining Neural Networks and Logical Reasoning
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3/ A team at Tufts combined neural networks with symbolic reasoning, teaching AI to think in steps and rules, not pattern-matching. The fix: neuro-symbolic AI: This system adds a logic layer on top. It breaks problems into steps, applies rules like shape and balance, and reasons before it acts. [Translated from EN to English]
→ View original post on X — @kimmonismus, 2026-04-06 20:42 UTC
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Revolutionary AI System Uses 100x Less Energy With Better Accuracy
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1/ Huge: Researchers just built an AI system that uses 100x less energy than current models – and it's actually more accurate. This could rewrite the rules of the entire AI industry. Lets dig into this 🧵
→ View original post on X — @kimmonismus, 2026-04-06 20:42 UTC
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AI Blood Test Detects Multiple Diseases via DNA Methylation
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Detection of multiple diseases via a cell-free DNA methylation blood test at low cost https://
pnas.org/doi/10.1073/pn
as.2518347123
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ML Professor Claims Hallucinations Solved in Frontier Reasoning Models
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I have an ML professor asserting that hallucinations have been solved in recent frontier reasoning models. Please supply any data you know that supports or rebuts this claim.
→ View original post on X — @garymarcus, 2026-04-06 20:39 UTC
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Codex OSS Update: Which Projects Should We Support Next
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Codex for OSS Update – Which projects should we support next? 🙂 DMs open!
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Stabilizing Video from Running Animals: New Petpin Pipeline Breakthrough
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Stabilizing video from a camera on a running animal turns out to be brutally hard.
— Ark Baltser (@arkslife) 6 avril 2026
Traditional stabilization breaks pretty quickly.
We're starting to crack it.
Before → After from our latest Petpin pipeline. pic.twitter.com/L4NWftjfxCStabilizing video from a camera on a running animal turns out to be brutally hard. Traditional stabilization breaks pretty quickly. We're starting to crack it. Before → After from our latest Petpin pipeline.
→ View original post on X — @scobleizer, 2026-04-06 20:17 UTC