The models will acquire some amount of verbal reasoning just from the language modelling objective. But reinforcement learning training that specifically targets reasoning paths does give you something quite different.
MACHINE LEARNING
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Recursive Tape for Variable-Length Symbolic Model Computations
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The model needs some recursive tape to perform variable-length symbolic computations. You could do this with activations, but it's somewhat nice to be able to read the trace. Then we need it to actually move purposefully, and use that tape well.
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Gemini models reasoning behavior and objective function optimization
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This gets tricky and I'll have trouble answering well in non-premium tweets. If you use a Gemini model and turn off the reasoning, it will 'reason' in the output space instead if you let it. What matters is the objective function and the training protocol
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Reasoning models use language computation to overcome step problems
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I definitely agree there's lots of problems at that step. I think reasoning models actually have a way around it to some extent though, because they can perform computation in language:
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Spatial Reasoning Limitations in ASCII Board Games
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My guess is it's not very good at reasoning spatially within ascii representations, or at coming up with better formats. You could try telling it to always look two moves ahead or something. Does it draw boards in its reasoning?
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LCMs: A New Cognitive Layer Beyond Token Prediction
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LLMs predict tokens.
LCMs reason in concepts. That’s the shift. Language-agnostic meaning → better abstraction, longer context, less repetition. If it works, this isn’t an upgrade.
It’s a new cognitive layer for AI. -
Human memory limitations in encoding complex spatial tasks
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Yeah but ask a human to remember the board, or speak the coordinates to them instead of looking at it and see how they do. The encoding of the task is a big confounder to how well the model can reason about it.
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Edge AI Powers Real-Time Vision Analytics for Retail
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EuroShop 2026 Feb 22-26 Düsseldorf. Our edge accelerators power real time vision analytics in stores with low power. Reduces stockouts and enhances security. Stop by our booth or book a meeting: https://
eu1.hubs.ly/H0rYyhc0 #EdgeAI #RetailTech #ComputerVision -
Sarvam’s AI models achieve world-class performance in Indian market
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With limited resources, Sarvam's models are world-class, at least in the Indian context. it's all noise here in twitter
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Training Models on Remote GPUs and Evaluation Anticipation
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Seeing the model trains on the remote gpus and patiently waiting for the evals to show up is a new kind of thrill that ive been experiencing lately