Full-text search across 9702 articles. Combine with topic and date filters; results sorted by relevance.
The U.S. military used Elon Musk's xAI Grok AI system to help drop over 2,000 munitions at 2,000 distinct targets in Iran within 96 hours, according to a sworn statement by Pentagon AI chief Cameron Stanley filed in a Fe…
A developer released an AI office-work benchmark and found four bugs in its own evaluation judge, highlighting challenges in measuring AI performance on real-world tasks. The benchmark, posted on Hacker News, aims to ass…
Researchers introduced CryptoProver, an AI-based system that synthesizes internal specifications and Verus-checked proofs from high-level API contracts, achieving verification of curve25519-dalek and RustCrypto's chacha2…
Freshworks Inc. is hiring a Lead Data Scientist in Bengaluru, India, to lead GenAI initiatives for its employee and customer experience products, targeting a conversational servicebot for 1 million+ monthly active users.…
Researchers introduced Zero-Mem, a memory system for LLM agents that performs zero-token memory operations, eliminating LLM calls and token consumption during memory access while preserving original interaction traces. I…
A study by Michael Timothy Bennett, submitted to arXiv on January 30, 2023, and revised April 11, 2024, argues that the optimal hypothesis for generalization is the weakest, not the shortest, and that compression is neit…
Elon University launched its first AI Play camp in June, where middle school students played tic-tac-toe by writing and following fixed instructions to mimic AI agents, highlighting a shift in children's play as generati…
A new study from arXiv presents the first production-scale characterization of agentic coding workloads using GitHub Copilot traces from June 2026, covering 3.2 million users, 13 million sessions, 761 million LLM calls, …
Amazon Web Services Inc. launched Kiro Crew, an autonomous agentic orchestrator that keeps AI coding agents running 24/7, allowing developers to start tasks and walk away. Built on the Kiro development environment, Crew …
AI-generated copycat accounts are stealing the likenesses of online creators like Marsha Dunkel, an athlete and fitness creator with 1.2 million Instagram followers, who reported that her videos were replicated using AI …
A systematic study of 60 language model benchmarks found that nearly half exhibit saturation, with rates increasing with age, and that resilience to saturation is impacted by expert-curation, not by public test data. The…
At the International Congress of Mathematicians in Philadelphia, Fields Medal winner Jacob Tsimerman announced he is joining OpenAI's safety team and expressed confidence that AI will soon become 'robustly superhuman' at…
Nearly 60 content creators moved into Lighthaven, a converted Berkeley hotel, for Plz Don't Kill Us (PDKU), a month-long bootcamp funded partly by the Machine Intelligence Research Institute (MIRI) to make AI safety mess…
Cisco DevNet is applying API engineering practices to Model Context Protocol (MCP) servers, addressing gaps in documentation, versioning, and governance that the MCP specification does not close. The team proposes a vers…
A study submitted to arXiv on 14 Jun 2024 and revised on 10 Apr 2025 shows that physical networks of nodes connected by resistive edges can learn diverse functions by adapting edge conductances to lower a cost function, …
Political theorist Hélène Landemore of Yale University and the University of Oxford argues that AI governance must include ordinary citizens through deliberative processes such as citizens' assemblies, criticizing recent…
A study submitted to arXiv on 3 Aug 2026 found that omitting within-conversation context changes AI answers materially in 44.7% of cases (95% CI 33.8%–56.1%), based on 180 English multi-turn conversations from a governed…
A study submitted to arXiv on 3 Aug 2026 finds that large language models (LLMs) fail at tabular prediction primarily due to input dimensionality, not noise handling, CSV formatting, tokenization, or test-point count. Th…
A study by researchers at an undisclosed institution, posted on arXiv on July 30, 2026, reveals that large language models (LLMs) exhibit 'Salience Bias,' a tendency to be misled by explicit but irrelevant details in com…
Researchers introduced CaRL (Capability-aligned Reinforcement Learning), a method that trains large language models to refuse futile reasoning on tasks beyond their capability, reducing computationally expensive yet sema…