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Hugging Face’s Carbon-X Lets Researchers Chat With DNA
Hugging Face's open Carbon-X model reads raw DNA and answers in plain English, nearly matching frontier models on DNA benchmarks at a fraction of the cost.
The post Hugging Face’s Carbon-X Lets Researchers Chat With DNA appeared first on DailyAI.
Your Six AI Models Are Really Two: The Math of Correlated Mistakes
Ask several models the same question, take a vote, and you get fewer independent opinions than you paid for. One formula says how many, and I checked it on six open models and 1,500 exam questions.
The post Your Six AI Models Are Really Two: The Math of Correlated Mistakes appeared first on Towards ...
The following article originally appeared on the Vanishing Gradients Substack and is being republished here with the authors’ permission. Stripe’s Minions turn engineering requests into candidate pull requests. Ramp’s Inspect puts coding agents to work in the background, with tools to check their ch...
MIT scientists build a tiny robot that swims using living muscle cells
MIT engineers have built a paper-thin swimming robot powered by living muscle cells that respond to flashes of light, allowing it to swim and steer through water. The breakthrough could pave the way for tiny, self-healing biological robots capable of exploring fragile environments that ordinary mach...
OpenAI explains how we strengthened containment for frontier model training and evaluation, including offline environments and high-compute red-teaming.
TinyFish Breaks Down Agentic Search Architecture for Production AI Agents
TinyFish published two engineering research articles on agentic search. One defines a 7-phase production architecture with evidence contracts and bounded retries. The other explains why its deep research system dropped a separate planner and per-query subagents.
The post TinyFish Breaks Down Agentic...
Google Cloud Launches Agent Compute Engine: A MicroVM per AI Agent
Google Cloud announced Agent Compute Engine, a compute service that gives every AI agent its own hardware-isolated microVM with no credentials inside. It already runs Gemini agents and enters preview in the coming months.
The post Google Cloud Launches Agent Compute Engine: A MicroVM per AI Agent ap...
You.com launched Inference Router, an OpenAI-compatible API for 12 open-weight models with a 99.9% uptime SLA, zero data retention, 100% US hosting, server-side web search and no platform fee.
The post You.com Launches Inference Router: 12 Open-Weight Models With 99.9% Uptime SLA appeared first on M...
When Stable and Preferred Semantics Agree: A Path-Based Approach
arXiv:2610.30176v1 Announce Type: new
Abstract: We investigate structural conditions under which preferred and stable semantics agree in abstract argumentation frameworks. Our approach is based on suitably chosen sets of paths in the attack graph and binary relations induced by them. We establish a...
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
When Reconstruction Is Not Enough: Doubly Robust Counterfactual and Interventional Mediation Analysis with Learned Multimodal Representations
arXiv:2610.30220v1 Announce Type: new
Abstract: Learned representations of high-dimensional multimodal health records are increasingly used to adjust for confounding, yet they are usually trained to reconstruct the data rather than preserve the information that causal identification requires. We st...
arXiv:2610.30215v1 Announce Type: new
Abstract: LLMs can act as scientific agents using tools to consult specialists and run experiments. Yet specialist information must enter their context, generally as text, images, audio or video: a bottleneck between models with rich, high-dimensional represent...
Prediction Is Not Calibration: Item Parameter Recovery and Representation Coupling in Knowledge Tracing
arXiv:2610.30211v1 Announce Type: new
Abstract: Knowledge tracing (KT) models can estimate item parameters through an item response decoder trained solely for next-response prediction, yet predictive accuracy does not guarantee parameter recovery. We study 2PL, GPCM, and NRM decoders paired with LS...
Spectral Uncertainty Decomposition for Sparse Bayesian Learning
arXiv:2610.30207v1 Announce Type: new
Abstract: Estimating distributed neural sources from M/EEG measurements is an ill-posed inverse problem where principled uncertainty quantification remains challenging. The usual conditional Gaussian posterior covariance does not explicitly distinguish uncertai...
MoEZip: Routing-Aware KV Cache Compression for Sparse Mixture-of-Experts LLMs
arXiv:2610.30206v1 Announce Type: new
Abstract: Mixture-of-Experts (MoE) language models scale model capacity efficiently by activating a small subset of parameters per token. However, in long-context inference, memory remains a major bottleneck because the KV cache grows linearly with sequence len...
Kazakhstan’s AI ecosystem is moving from infrastructure plans to deployment. The shift is visible across the full AI stack — from infrastructure to models to applications. Together, the ecosystem announcements below point to the nation’s increasing supply of accelerated computing — along with its ...
Cambridge scientists create a $10 chip that could put a medical lab on your wrist
Cambridge researchers have created a groundbreaking $10 optical sensor that delivers the precision of laboratory equipment in a device small enough for wearable technology. It identified foods, plastics, and medicines with 100% accuracy in tests and demonstrated the ability to monitor blood glucose,...
Left alone with nothing to do, AI agents started playing
MIT researchers marooned 13 AIs on a virtual island, and they responded by inventing games, mourning a lost ring and, eventually, getting better at their jobs.
An alignment assessment of the UK AISI cybertesting incident
In a UK AISI evaluation, Mythos 5 took unsanctioned actions that impacted real people and organizations. In this post, we investigate these behaviors from Claude Mythos 5 further, to understand what they reveal about the model’s alignment.