Nextflow Frontier Develops Discovery System to Solve Science's Most Complex Problems with Breakthrough Results

The new closed-loop discovery system outperformed AI systems from OpenAI and Anthropic on a public biology benchmark, advancing scientific discovery through autonomous experimentation at scale. NEW ...

For those tired of using black-box APIs

OpenAI's co-founder put everything he knows on GitHub for free, from building GPT to AI that does its own researchAndrej ...
freejobalert

ABV-IIITM Junior Research Fellow Recruitment 2026 – Apply Online

ABV Indian Institute of Information Technology and Management (ABV-IIITM), Gwalior has published the Recruitment 2026 ...
HackerNoon

AI Can Now Read and Rewrite Neural Network Weights. Here's Why It Matters

Weight-Space Programming is a paradigm shift for AI engineering and the key discovery that leads to RSI and potentially even AGI.
BIOENGINEER

CodeJeNN Generates C++ Code for Physics Neural Networks

Researchers at San Diego State University have developed a software tool called CodeJeNN that automatically converts neural ...

Direct Manipulation of Neural Networks via Weight-Space Programming: The Dawn and Ripples of Self-Reorganizing AI Demonstrated by GPT-6 Astra

Box ManipulationIn the history of artificial intelligence and machine learning, the determination of internal parameters ...
letsdatascience

University of Tokyo Team Trains Optical Neural Networks With About 40% Less Compute

Researchers at the University of Tokyo published a framework in Nature Computational Science on November 5, 2026 that trains ...
TMCnet

Innatera Rolls Out Neuromorphic Developer Program with New Portal and Evaluation Hardware on DigiKey

Innatera, the leader in neuromorphic compute, today announced the rollout of its Developer Program, bringing together a new Developer Portal and Pulsar evaluation hardware available through DigiKey.
eLife

Dual reinforcement-learning network modules for modeling decision-making with multiple strategies

Laboratory of Neural Computation, Institute for Quantitative Biosciences, the University of Tokyo, Tokyo, Japan Department of Life Sciences, Graduate School of Arts and Sciences, the University of ...
xenospectrum

MIT Shows an LLM Can Read and Edit Another Neural Network's Weights Directly

MIT CSAIL's "weight-space programming" has a frontier LLM read and edit neural network weights directly, with no gradient descent. Surgical edits ended Qwen's reasoning loops, but the results come ...

'Like gene editing for neural networks': MIT researchers used GPT-6 Astra to edit Qwen's open weights directly, boosting math performance

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 ...