AI Research news and analysis on Web Pulse: 8712 curated articles tracking the latest AI Research developments, tools, and research, updated continuously from vetted sources.
Meta CEO Mark Zuckerberg told employees on July 2, 2026, that the company's agentic AI development has not accelerated as expected over the past four months, according to Reuters. The admission comes after Meta tied a Ma…
Ray Kurzweil announced RAI, a digital twin built from his lifetime knowledge and intellectual framework, through a joint venture between Kurzweil Technologies and Praxis AI. The AI product is scheduled for public debut o…
Researchers at ICML 2026 presented findings that multi-agent system architecture significantly affects security, with the same model and task switching from refusal to compliance depending on how agents are wired. The st…
Companies are redesigning workflows before adding AI agents, as expert Weiwei Hu warns that agents cannot recover tacit knowledge or unclear data ownership after deployment. Teams are advised to map value, define data co…
Tencent released Hy3, a 295B MoE open-weight model under Apache 2.0, positioning it as competitive with larger systems on reasoning and coding tasks. The release comes amid a quiet period in AI news as the industry diges…
Researchers at MATS found that filtering training data to remove undesired behaviors from large language models is largely ineffective, with removing the top 'proponent' documents performing no better than random removal…
Researchers at the Mechanistic Interpretability project have identified that the knight-fork policy logit in the Maia 3 chess transformer snaps into place after block 5's attention layer, using logit lens and attention p…
Nigeria's FCCPC announced on July 6, 2026, that President Bola Tinubu ordered an investigation into Meta, Alphabet, X, and generative AI platforms over alleged anti-competitive use of Nigerian media content. The probe, p…
Anthropic published research on July 6 revealing that its AI model Claude has spontaneously developed an internal neural structure called J-space, which mirrors a leading theory of conscious thought and allows detection …
Anthropic's interpretability research reveals that its Claude AI model has self-organized an internal reasoning structure called the 'J-space,' which mirrors the Global Workspace Theory of human consciousness. The J-spac…
Researchers developed a semi-automatic pipeline that converts CT-based cardiac segmentations into simulation-ready meshes in minutes, preserving anatomical and topological consistency. Validated on 58 healthy cardiac CT …
Researchers introduced VERITAS, a domain-agnostic replication framework that uses CLI coding agents to automatically verify scientific claims from papers and code repositories. In tests across 65 papers in computer scien…
Researchers propose a sliding-window-based reinforcement learning (SWRL) framework for dynamic assembly flow shop scheduling with multi-product delivery, addressing challenges from dynamic order arrivals and kitting cons…
Researchers introduced Raven-Agent, the first autonomous trading agent for prediction markets, which achieved the only positive return and positive risk-adjusted return among tested policies in controlled replays over ar…
Researchers introduced the Human-Centric Reflective Architecture (HCRA), a framework for human-AI collaborative decision-making that models the task as a stochastic game and integrates human-calibrated models with reinfo…
Researchers propose cross-survey transfer as a rigorous evaluation framework for silicon sampling, where LLMs predict survey respondents' answers to unseen questions. Testing on Taiwan Election and Democratization Study …
Researchers introduced GRAFT, a per-word pronunciation conditioning mechanism for zero-shot text-to-speech that uses a short spoken sample to control pronunciation of specific words. In a blind English listening study, G…
Researchers found that induction heads in transformers implement two smoothing mechanisms—soft context-matching and BOS token pseudo-counts—that interpolate n-gram estimates, enabling in-context learning to regularize ra…
Researchers studied online adaptation of discrete diffusion models for molecular optimization, finding that combining acquisition, reward shaping, debiasing, replay, and validity control outperforms offline fine-tuning a…
Researchers found that large language models (LLMs) score up to 96% on CBT licensing exams but fail to apply CBT effectively in dialogue, defaulting to validation and reflection. A new metric, Protocol Leverage Force (F)…