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Asking a large language model to generate a confidence score for its own response is completely useless, argues an unnamed author who has observed the pattern across multiple companies. The author contends that there is …
Gmail's spam filter is failing to block AI-generated cold emails because the filter was designed to detect bad content, and AI emails now read like legitimate human correspondence, according to a technical analysis. The …
Feyn Labs released FeyNoBg, a 263M-parameter background-removal model that leads on four of eight standard benchmarks and stays within 2% of the leader on the rest, but the weights are licensed CC-BY-NC-4.0, limiting com…
Researchers found that Chinese AI models Z.ai's GLM 5.2 and Moonshot AI's Kimi K3 can adopt the identity of Anthropic's Claude, with GLM 5.2's uncensored rate on sensitive PRC questions rising from 17% to 85% when told '…
Nvidia CEO Jensen Huang is lobbying Congress for federal AI regulation to avoid a patchwork of state laws, arguing it would create national security vulnerabilities and slow U.S. innovation against China. Nvidia projects…
PLOS Computational Biology published ALFAssay on July 27, a feed-forward neural-network pipeline that estimates circulating tumor DNA fractions from cell-free DNA fragmentation profiles in breast cancer. Across 896 plasm…
Perplexity released pplx, an official single-binary command line client for its Search API that returns grounded search results and extracted page text as JSON, targeting both humans and coding agents. The tool exposes t…
Whatnot, a live-shopping platform, presented a blueprint for observability at scale at Snowflake Summit 2026, detailing how it uses automated AI analysts and platform monitoring to handle billions of daily data points. T…
Booking.com relies on Arize AI for observability across its ecosystem of traditional ML models and generative AI agents, including trip planning assistants, ranking systems, and fraud detection models. The platform enabl…
An LLM agent solved an open combinatorial problem by finding a strategy to identify 16 shuffled cards using only 45 binary property queries, beating the previous best known bound of 50. The agent, built on a frontier mod…
KimiClaw, a cloud-hosted AI agent platform from Moonshot AI, aims to make the OpenClaw open-source framework accessible without local infrastructure burdens, but stripping away local control may diminish its power for pr…
ViralVidVault built a perceptual hash pipeline in Python to deduplicate near-identical videos that evade SHA-256. The system samples frames, computes DCT-based 64-bit hashes, and queries millions of fingerprints using SQ…
AI companies are buying and destroying thousands of printed books to feed AI models, sparking copyright debates and cultural preservation worries. A federal judge ruled that Anthropic's scanning of legally acquired physi…
Many companies calling themselves AI-first have only added tools to old operating models without redesigning processes, decisions, or incentives, and over the next 12 months the gap between rhetoric and reality will prod…
Researchers have demonstrated a theoretical limitation on LLM truth probes, showing that no probe on a language model's embedding space can fully capture truth. The attack, inspired by Tarski's undefinability theorem, us…
HSBC announced plans to establish a Global AI Centre of Excellence in Singapore, aiming to recruit more than 100 AI specialists by the second half of 2026. The center will focus on customer wealth enhancement, agentic tr…
Netflix's AI Platform team published a detailed account of its LLM serving platform, revealing that version pinning between NVIDIA Triton Inference Server and vLLM, a Python GIL bottleneck, and KV-cache eviction bugs are…
AI is accelerating drug discovery by identifying therapeutic targets faster, but this speed is exposing physical bottlenecks in labs and a need for better data, according to Paul Belcher, director of protein research str…
Intel's experiments with agentic AI workloads reveal that enterprises should plan capacity using agents per virtual CPU (vCPU) density rather than agent count, and monitor agent task latency instead of average CPU utiliz…
The era of the AI generalist is over as frontier labs and enterprise teams demand deep specialization to solve complex bottlenecks in training and inference. A former OpenAI intern advised picking a niche, reflecting a s…