excel didn’t have LLMs in the 90s (it did have some ML, which I have praised, but not that far back).
MACHINE LEARNING
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Technical analysis of neurosymbolic AI architecture
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it’s a klugey neurosymbolic system but its certainly neurosymbolic. it’s certainly NOT a pure neural networks, and certainly not a pure symbolic system. it is a blend. (and of course lots of symbolic systems are kluges)
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GPT-5.5 evaluation errors revealed in FrontierMath benchmark
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The irony. Using AI (GPT 5.5), errors have been identified that would affect 1/3 of the problems in the FrontierMath benchmark Tiers 1-4. This could represent a shift in the evaluations of AI's mathematical capabilities, which may be underestimated.
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Multi-Agent Synergy for Scaling Test-Time Compute
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TMAS Scaling Test-Time Compute via Multi-Agent Synergy
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Multi-Agent Synergy for Scaling Test-Time Compute
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TMAS Scaling Test-Time Compute via Multi-Agent Synergy
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AGI ALPHA: Scalable Substrate for Intelligence Organizations
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"AGI ALPHA: A Scalable Substrate for Intelligence Organizations" Vincent Boucher, President of http://
MONTREAL.AI and http://
QUEBEC.AI Paper: https://
github.com/MontrealAI/agi
alpha-first-real-loop/blob/main/docs/manuscript/AGI_ALPHA_Unified_Publication_Final.pdf
… #AGIAlpha #QuebecAI #SovereignAI -

Scal3R: New AI Research for Neural 3D Scene Reconstruction from Video
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What if AI could reconstruct kilometer-scale 3D scenes from video as effortlessly as humans perceive a room? Researchers from Zhejiang University and Horizon Robotics present Scal3R. They introduce a neural context memory that compresses long-range scene info, adapting on the
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AI Model Fine-Tuned for Role-Play as a Bicycle
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The previous edition had an unhinged AI bicycle companion that was fine-tuned to role-play as a bike. If you asked it "what is a transformer?", it'd answer "I don't know, I'm a bike." Absolute 10/10 idea
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Praise for model’s image abstraction capability
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I'm really impressed with how the model is able to reduce the concept of the original image to something so minimal
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PromptEcho: A New Zero-Annotation Reward Method for Text-to-Image Models
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You could train text-to-image models without expensive human feedback! Alibaba Group and Zhejiang University researchers present PromptEcho—a reward method that uses a frozen vision-language model to measure image-prompt alignment directly, with zero annotations or extra