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Google Research scientists Rory Sayres and Yun Liu published findings in JAMA Dermatology showing that AI tools can help laypeople better identify skin conditions and determine appropriate next steps. The study of 2,345 …
The DARPA-NSF-CAISI AI Forge Program has launched its next phase, releasing a report on critical AI challenges for national security and a Request for Information (RFI) targeting U.S. universities. The program aims to bu…
Researchers trained a small transformer encoder to detect reward hacking in reinforcement learning trajectories by mapping them onto a unit sphere where embedding distance approximates reward-metadata signal differences.…
OpenAI reported Wednesday that it shut down a fleet of ChatGPT accounts generating anti-data center propaganda, which the company linked to Chinese provincial-level government clients. The AI-powered disinformation campa…
Suno, an AI music platform with over 100 million users, generates roughly 7 million songs per day, raising concerns about music scarcity. Deezer reported that by April 2026, nearly 75,000 fully AI-generated tracks were u…
PyTorch's `nn.Linear` module transposes its weight tensor before performing matrix multiplication and addition, as revealed by profiler traces showing an `aten::t` operation that only modifies tensor metadata on the CPU …
AI startup Decart released Oasis 3, an interactive world model that generates photorealistic driving environments in real time via API, targeting autonomous vehicle companies and developers. The model, priced at $0.02 pe…
ClickHouse announced the public beta of ClickHouse Agents, a fully managed agentic analytics service powered by Claude, at Open House 2026 in San Francisco. The no-code service allows users to build and deploy AI agents …
Pulumi co-founder Paul Stack argues that infrastructure-as-code (IaC) tools have historically failed to deliver on their promise of supporting "any system" because their provider ecosystems rely on human-written integrat…
Mathematician Terry Tao, a child prodigy who won a gold medal at the International Math Olympiad at age 13 and earned his Ph.D. from Princeton by 21, has become an evangelist for using artificial intelligence in mathemat…
Researchers analyzing token consumption in LLM-based multi-agent software engineering systems found that code review stages consume the majority of tokens at 59.4%, with input tokens accounting for 53.9% of total usage. …
GGUF, GPTQ, and AWQ are the three dominant formats for running quantized large language models locally, each optimized for different hardware and use cases. GGUF, the format used by llama.cpp and its derivatives, offers …
Researchers introduced CoopSR, the first benchmark for multi-robot cooperative spatial reasoning, along with the EgoTeam dataset containing 114,227 question-answer pairs across 19 question types. The team also proposed S…
A group of 49 mathematicians compiled a dataset of 100 research-level mathematics questions with known answers during a workshop at the Max Planck Institute for Mathematics in the Sciences in Leipzig, Germany, between Ap…
Researchers have established a mathematical correspondence between hierarchical decision trees and diffusion processes, unifying the two model classes under a shared optimization principle called Global Trajectory Score …
More than 100 engineers cloned a free open-source handbook on large language model inference within its first week of release. The guide consolidates years of production experience and research to address the unique chal…
Two developers, Francis Tran and Elmar Chavez, built ClassifierAI, a prototype Chrome extension that automatically detects AI-generated content on the DEV platform. The extension analyzes an entire article and its cover …
A new study analyzing six large language models on the SWE-bench Verified benchmark found that agent-written tests do not significantly improve issue resolution rates, despite being a common practice. Researchers observe…
Researchers introduced Tangram, a serving system that enables non-uniform Key-Value cache compression for multi-turn large language model inference. The system uses deterministic budget allocation, head group page cluste…
Researchers have developed Discrete Tilt Matching (DTM), a likelihood-free method for fine-tuning masked diffusion large language models using reinforcement learning. The approach recasts fine-tuning as state-level match…