Nov 16, 2025

Heretic: Automatic censorship removal for language models

Heretic automates the removal of censorship from transformer-based language models using directional ablation and a TPE-based optimizer, achieving results comparable to manual methods without requiring deep technical knowledge.

A new Google model is nearly perfect on automated handwriting recognition

Google's new AI model, currently in testing, achieves near-perfect automated handwriting recognition and demonstrates unexpected levels of abstract reasoning, suggesting a significant leap in AI capabilities.

Tracking users with favicons, even in incognito mode

Supercookie leverages favicons to create a persistent tracking ID for users, which remains intact even in incognito mode and is resistant to common privacy measures like cache flushing or VPNs.

Archimedes – A Python toolkit for hardware engineering

Archimedes is a Python framework designed to streamline control systems development by enabling seamless C code generation from NumPy algorithms, enhancing productivity and deployment efficiency.

[R] Generative Flows on Weight Space for Covariate Shift Detection (AAAI 2026 Workshop)

Generative flow models in weight space enable effective detection of covariate shifts by adapting weight distributions in response to data changes, outperforming traditional methods in practical applications.

Beyond Hyperparameters: We're Now Quantifying (and Steering) the Internal Physics of AI Training. [R]

The Vector Space Mapping (VSM) protocol reveals that quantifying the specialization of attention heads in Transformer models can significantly enhance training efficiency, achieving over 160% faster structural reorganization with optimized hyperparameters.