Search the full wire by company, model, lab, or keyword. Every story we have ever aggregated.
Anthropic partners with SpaceX for compute capacity; removes Claude Code peak-hour limits and raises API rate limits for Opus.
Gated multimodal model combining EPC tabular data and assessor text to predict building energy efficiency scores.
ORDERED: variance reduction for unsupervised domain adaptation via optimal data reordering during training.
Imitation learning for stabilizing Vlasov-Poisson plasma control using sparse macroscopic diagnostics with stability guarantees.
Psychometric analysis of 50 LLMs identifies phenomenal experience as primary variance axis via Pinocchio dimension.
Also, rate limits will double for Pro and Max users of tools like Claude Code.
I’ve been using Claude mostly for coding and summarizing boring work docs, but today it accidentally became my cyber security therapist. I got an email from what looked exactly like one of my vendors asking me to update payment info for an invoice. Same writing style, same…
Vision-based mmWave beam management system for V2X vehicular connectivity using camera sensing and closed-loop learning.
Theoretical proof that long-context models cannot simultaneously optimize efficiency, compactness, and recall—fundamental trade-off affecting Transformers and SSMs.
Google demonstrates AI Mode in Search with gardening tips; product feature announcement, not technical or architectural interest.
Live coverage of Anthropic's Code w/ Claude 2026 event keynote and announcements from Simon Willison.
Fully convolutional neural network for chemical-mechanical polishing modeling in IC manufacturing using white light interferometry.
Systematic review of jailbreak attack and defense methods for LLMs with critique of narrow evaluation metrics like attack success rate.
Adaptive deep learning framework for angle-of-arrival based outdoor localization in 5G/6G networks with flexible training strategies.
Flow matching method for few-shot vision-language model adaptation using polar decomposition to decouple radial and angular feature dynamics.
While citing web forums and discussion boards can help users find answers to more niche queries, this design choice could also prove chaotic.
Analysis of car-following deceleration behavior using NGSIM trajectory data identifying gap-closing rate and visual looming discriminants.
Resource modeling and pipelined hybrid parallelism system for efficient large-scale Mixture-of-Experts training on HPC platforms.
Genesis AI, a startup that raised a $105 million seed round to build foundational AI for robotics, has unveiled its first model, GENE-26.5, but also a demo showcasing a set of robotic hands performing complex tasks.
Up to 3x the speed with no loss of quality—is it too good to be true?
Study of relation hallucination in vision-language models under rotation and noise perturbations with evaluation of augmentation and preprocessing defenses.
Preference-based self-distillation method for on-policy training that moves beyond KL matching via reward regularization to improve reasoning stability.
Automated incident alert: elevated error rates across multiple Claude models on 2026-05-06, status tracking post.
Match Group said that it's slowing its hiring plans for the rest of the year because AI tools "cost a lot of money."
**TL;DR:** My last post about testing TinyGPU attracted some interest. This is the follow-up. The Blackwell card is detected and the driver loads, but NVIDIA's GSP firmware fails to boot through TB5 (known issue, I'm working with tinygrad on it). While debugging that, I went…
Empirical study finds predictive neural encoders systematically fail to learn causal representations, achieving 49% causal fidelity despite high prediction accuracy across 2695 configurations.
Proposes detecting structural hallucinations in diffusion models via local intrinsic dimension analysis as instabilities on model-induced manifolds.
User reports Qwen 3.6 27B in Hermes agent harness successfully handles junior IT tasks, signaling maturity of local model + agent systems.
Single-pass hallucination detection method for LLMs using attention head KL-divergence without sampling, validated across multiple model families.