AI Research news and analysis on Web Pulse: 10196 curated articles tracking the latest AI Research developments, tools, and research, updated continuously from vetted sources.
Extropic unveiled thermodynamic computing hardware and algorithms that run generative AI workloads using radically less energy than GPUs. The company released its `thrml` library and plans to build a new type of chip cal…
Reka AI released CS2-10k, a large-scale egocentric dataset built from professional Counter-Strike 2 matches, containing over 600,000 player-round videos totaling 10,000+ hours of first-person footage with per-frame annot…
Reka released CS2-10k, a large-scale dataset and rendering pipeline built from Counter-Strike 2 professional match demos, providing over 10,000 hours of egocentric video with per-frame action annotations to advance world…
1Password has mapped AI agent architectures into delegated, bounded, and autonomous authority models, each with local and remote variants, to address the unique identity and security challenges posed by non-deterministic…
Rudrite Research released a 47-minute documentary explaining how modern text-to-speech works, from sound waves as numbers to neural audio codecs and talking LLMs. The film covers key milestones like WaveNet, Tacotron, VA…
Claude Fable 5 remains unavailable 14 days after its expected release, but restoration odds have surged to approximately 60%. OutYet.ai reports that sightings of the model on Azure and app interfaces are stale UI artifac…
AMD introduced workload pre-emption in its Resource Manager to reclaim idle GPUs from underutilized workloads, improving cluster efficiency. The feature monitors GPU utilization per workload and terminates those that fal…
California Governor Gavin Newsom launched the California AI-Unemployment Tracker (CAIT) on June 25, 2026, the first public dashboard to correlate AI exposure metrics with unemployment claims. Initial data through May 202…
Anthropic released a video featuring its philosopher answering questions, providing insights into the company's AI safety and ethics perspectives.
A researcher reproduced Anthropic's paper on natural language activations (NLAs), training models to generate textual descriptions of neural network activations. The study found that a single model trained on layer 20 ge…
Liquid AI released its LFM2.5-230M foundation model on June 25, outperforming larger competitors like Alibaba's Qwen3.5-0.8B and Google's Gemma 3 1B on data extraction benchmarks. The 230-million-parameter model runs on …
Chinese hardware tech stocks have surged 64% this quarter on AI infrastructure spending and government support, but earnings season will test whether valuations are justified. Analysts warn that share prices may have out…
A developer explores the concept of loop engineering as software engineering, inspired by an article on LinkedIn. They built a Python prototype using Claude and highlight the importance of distributed systems patterns li…
Amazon's MGM Studios dropped a Luca Guadagnino film about OpenAI's Sam Altman amid reports it portrayed him unfavorably, while Google DeepMind partnered with A24 in a $75 million AI deal. Workers including electricians a…
Unconventional AI released Un-0, an image generator that uses simulated coupled oscillators instead of neural network layers, achieving an FID of 6.74 on ImageNet 64x64. The model validates that physical computing can ha…
HoprLabs, a new open-source Python CLI and research toolkit, launched to simulate AI training math, estimating model size, memory usage, training time, and token budget before costly model training. The MIT-licensed tool…
NTT completed a proof of concept in early 2026 showing that AI training workloads can be moved to remote sites powered by renewable energy without significant performance loss, cutting energy use by up to 30% while train…
California's AI-Unemployment Tracker, developed by the California Policy Lab in partnership with the Employment Development Department, shows no statewide surge in AI-related layoffs since ChatGPT-3.5's 2022 release thro…
DeepSeek made its V4 Pro price cut permanent, widening the cost gap with GPT-4o-class APIs and making it a serious contender for batch ETL workloads. Models.dev launched as an open-source database of AI model specs, pric…
Scaling laws in deep learning describe a predictable power-law relationship between training loss and model size, dataset size, and compute, enabling extrapolation of resource requirements for larger models. Early theore…