Engineering
A Fragility Spectrum for Recursive Language-Model Training
The paper studies how 13 different language model checkpoints degrade under recursive training on model-generated text, using a shared corpus…
Opinions
Understanding ‘AI psychosis’
This American Psychological Association Monitor on Psychology article, published in the September 2026 issue, examines the debate among researchers and…
Opinions
AI has finally come for math—mathematicians might never recover
Published around September 11, 2026, this Scientific American article examines how AI systems now capable of solving longstanding mathematical problems…
News
Anthropic Signs $35 Billion Cloud Deal With Nvidia-Backed Lambda
Anthropic has entered a $35 billion, 15-year cloud-computing agreement with Lambda, an Nvidia-backed provider, to secure capacity at a 350-megawatt…
Engineering
Helion x Hugging Face Kernels: Building and Shipping Out-of-the-box Performant Kernels
This PyTorch blog post details how the Hugging Face Kernels project added support for Helion, a tile-based DSL from Meta…
Engineering
TurboQuant Quantization Explained
TurboQuant is a vector-embedding compression technique that applies a random orthogonal rotation to embedding coordinates, then maps the rotated values…
Engineering
Per-tensor layout maps for GGUF quantization
A Hugging Face contributor describes a data-driven quantization scheme for GGUF models that empirically measures per-tensor sensitivity rather than relying…
Engineering
From Parameters to Answers: How LLMs Retrieve and Use Their Internal Knowledge
The paper studies how large language models retrieve and use internal knowledge by performing layerwise interventions on hidden states across…
Engineering
When Agents Disagree: Bayesian Backward Reasoning as a Label-Free Anchor for Multi-Agent Collective Decision-Making
The paper proposes a Bayesian backward-reasoning method for aggregating decisions from multiple LLM agents, constructing reverse posteriors via explicit likelihood…
Engineering
Beyond Confidence: Stability-Aware Test-Time Adaptation for LLM Reasoning
The paper introduces TASCO, a test-time adaptation framework that improves LLM reasoning by optimizing lightweight task-level prefixes while keeping the…
Engineering
A Unified Per-Token Gating Family for On-Policy Distillation: FKL/RKL Mixing with Multi-Channel and Bias Coefficients
The paper proposes a unified four-coefficient parameterization for on-policy knowledge distillation that generalizes existing per-token gating methods by combining forward…
Engineering
Memory Compression for High-Fanout Agent Sandboxes
Researchers introduce AgentZip, a memory compression system for AI-agent sandboxes that exploits redundancy across sandbox instances and between sandboxes and…