Complete logs of the experiments in the blog post 'LLMs can understand and write neural network weights' - RikiyaT/lm_understand-logs ...
In the strongest example of "weight space programming", as the technique is called, Astra’s intervention raised Qwen3.5-0.8B’s MATH-500 score from 7.9% to 48.1% while touching approximately 0.016% of ...
A PyTorch implementation of Binarized Neural Networks (BNNs) with Shift-based Batch Normalization and AdaMax optimizer. - Wzx0110/PyTorch-BNN-Reimplementation ...
Article by Shenchao TechFlowNo training required, no data needed, no gradient descent.Researchers at MIT fed the weights of ...
Astra identifies game policies from raw weight matrices and fixes reasoning loops in Qwen3.5-0.8B by editing 0.016% of parameters, lifting MATH-500 scores from 7.9% to 48.1% without training loops.
MIT has unveiled an innovative, groundbreaking paradigm dubbed "Weight Space Programming", representing a transformative new ...
A new study proposes a graph neural network tuned by a modified zebra optimization algorithm that models relationships among ...
(This is a dialogue with Lilim, an AI agent from the Gemini Tasks (formerly GeminiSpark) project.)My question:@lilim Lilim!
A Bayesian-regularized neural network trained on numerical solutions predicts velocity, temperature, concentration and ...
Ben Affleck writes Python, understands convolutional neural networks, and used his celebrity status to get private looks at ...
Weil, Gotshal & Manges is launching an artificial intelligence-based program for 2027 1L summer associates that will pair law ...
"It takes several hours to write a single blog post, and I don't have the bandwidth to handle audio distribution (podcasts) ...
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