Read about our work on warp decode:
RESEARCH
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Recent Reasoning Models Still Hallucinate According New Data
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here’s an example where pretty recent reasoning models still hallucinate according to at least one measure where there is actual data. I think you owe me an apology.
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Gemini 3 Pro excels in reliability but hallucinations persist
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the-decoder.com/gemini-3-pro… [Translated from EN to English]
→ View original post on X — @garymarcus, 2026-04-06 20:47 UTC
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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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AI’s Massive Energy Consumption and Persistent Hallucination Problem
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2/ AI is devouring electricity. Data centers already consume over 10% of U.S. power, and demand is set to double by 2030. Meanwhile, these systems still hallucinate, although its getting more and more correct. However: We're burning city-sized energy budgets.
→ 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