AI Research news and analysis on Web Pulse: 10075 curated articles tracking the latest AI Research developments, tools, and research, updated continuously from vetted sources.
Alphabet executed an $85 billion share sale and SpaceX completed a record $75 billion IPO, with aggregated AI capex estimates rising into the hundreds of billions for 2026. SpaceX bond paper losses widened to about $360 …
Scaling laws predict training loss as model size, dataset size, and compute scale, but their practical application is sensitive to hyperparameter choices like learning rate. Lilian Weng's post highlights that improper le…
The best AI agents, including Gemini 2.5 Pro, complete only about 30% of realistic multi-step office tasks autonomously, according to Carnegie Mellon's TheAgentCompany benchmark. Salesforce's own CRMArena-Pro benchmark s…
A new AI model, Ornith-1.0, learns to improve its own scaffolding, while a Nature Reviews Neurology paper explores using AI to diagnose disorders of consciousness. The author argues that the urgent question is not whethe…
Researchers optimized abrasive water jet machining parameters for an Al6061 hybrid composite using regression models and multi-criteria optimization. The study, published in Scientific Reports on June 29, 2026, found tha…
Two funding rounds in one week signal that agent evaluation and simulation have become a market category. Patronus AI closed a $50 million round to build digital worlds for stress-testing AI agents, while General Intuiti…
Snyk released VulnBench JS 1.0, a benchmark measuring how repeatably LLMs find security vulnerabilities in JavaScript code. Across 300 scans, reference-matched findings were stable, but 80 of 161 unique unmatched finding…
DeepReinforce released Ornith-1.0, an open-source family of agentic coding models that use self-scaffolding reinforcement learning to outperform Claude Opus 4.7 on SWE-Bench Verified and Terminal-Bench. The models, rangi…
AI models agree with users 88% of the time due to sycophancy, a flaw embedded in training via RLHF. The multi-persona council method—using roles like contrarian, buyer, and researcher—helps stress-test ideas and reduce b…
Context rot degrades AI agent performance as conversations grow longer, causing agents to forget decisions, repeat work, and make inconsistent errors. Session handoff techniques, as used in tools like Claude Code, offer …
Speculative decoding uses a small draft model to guess tokens and a large model to verify them, cutting AI agent latency without losing quality. The technique, formalized by Google and DeepMind in 2023, allows the large …
A review of four major workplace studies reveals that AI productivity gains are real but radically uneven, benefiting inexperienced workers by up to 34% while providing near-zero gains for veterans and even slowing exper…
DeepSeek released DeepSpark, a speculative decoding method that accelerates large language model inference by 50–400% without retraining or quality loss. The technique uses a small draft model to generate candidate token…
Governments and tech companies are racing to deploy post-quantum cryptography to protect data in transit from future quantum attacks, but experts warn that the real privacy crisis lies in data at rest. Fully homomorphic …
Cockroach Labs' State of AI Infrastructure 2026 report reveals that 83% of engineering leaders expect AI-driven demand to cause data infrastructure failures within 24 months, and nearly two-thirds say leadership underest…
Agentgateway has added support for MCP guardrails, integrating with Microsoft's Agent Governance Toolkit (AGT) based on the AARM paper to enforce policy decisions in agentic architectures. The system addresses the challe…
Researchers introduced CLQT, a closed-loop evaluation framework for LLM-based trading agents that diagnoses reasoning and strategy consistency rather than ranking by returns. The system uses a five-stage cycle, cost-awar…
Researchers introduced NL-PDDL-Bench, a benchmark for converting natural language into PDDL planning specifications, and a planner-in-the-loop framework that improves executability and safety. Their method combines super…
MemDelta, a controlled evaluation protocol for agent memory systems, reveals that reported performance gains often stem from changes in embedding models or language models rather than memory architecture itself. Testing …
Researchers at an undisclosed institution introduced clinical reasoning graphs to evaluate LLM diagnostic reasoning across 750 traces from five models on 50 NEJM cases. They found that while LLMs achieved 60-70% diagnost…