AI News Archive - Browse Page 47 of 182
Browse AI news articles covering LLMs, tools, research, and industry trends
Anthropic adds Claude plugins for CoCounsel, DocuSign, Everlaw, Box, Harvey
Anthropic has decided the legal profession is a good place to make its money. The AI company just released a set of plugins that wire Claude directly...
Google stops attack after AI finds zero‑day; China, North Korea also using AI
Google's threat hunters intercepted a mass cyberattack this month. Their key tool? Artificial intelligence.
Geometry-free learning predicts inertial lift forces in microfluidic devices
Every microfluidic engineer knows the trade-off. Their devices are cheap, fast, and remarkably useful for sorting cells or particles.
Rubrics-as-Reward seeks explicit criteria; scalable rubrics remain elusive
Reward modeling usually treats "quality" as a single number, a black box score. You can optimize for it, but you can never really look inside to see...
BaLoRA adds Bayesian uncertainty to low‑rank adaptation, but lags fine‑tuning
LoRA was supposed to be cheap. It is. But like any shortcut, it’s a bit dumb. It gives you a single answer without any sense of whether that answer...
Avoid TensorRT Slowdowns or Build Failures by Adding Plugin Extensions
TensorRT deployments fail in predictable ways. One unsupported operation is all it takes.
Adaptive AI ecosystems link agents, models, data and decision services
Forget the single AI model. The new pitch is for a whole nervous system. Early enterprise AI was a button. Press it, and one task got faster.
Community review tools guide novices in AI research, study finds
Most AI research competitions are built for experts. Parameter Golf was built to see what happens when you let everyone in.
Audit matrix flags token rotation via npm postinstall hook in Claude Code
The audit matrix laid out by security researchers highlights how Claude’s own interfaces can become blind spots for a typical defensive stack.
Anthropic adds new chatbot tools to Claude for Legal, targeting law firms
The legal industry is a fortress of precedent, procedure, and paper. Anthropic just sent in a battering ram.
BalCapRL adds length-based reward masking, boosting LLaVA-1.5-7B and Qwen2.5-VL
Dense image captioning hinges on a brutal trade-off: expert-quality annotations are gold, but their scarcity is a bottleneck.
Vapi reaches USD 500M valuation after beating 40+ rivals for Amazon Ring
Forty competitors. That was the field Vapi faced for a critical contract. The client was Amazon's Ring. The startup won.
Hermes Agent Guide Shows Core Features for Complex Autonomous Workflows
Most AI agents are glorified chatbots, useful for simple instructions or summarizing text.
Thinking Machines develops AI that processes input and replies simultaneously
Thinking Machines Lab dropped its new model on Monday. Founded just last year by ex-OpenAI CTO Mira Murati, the startup calls it an "interaction...
Tilde Research's Aurora optimizer beats Muon and NorMuon at 340M scale
Tilde Research’s Aurora optimizer surpasses both Muon and NorMuon at the 340M parameter scale. The breakthrough lies in fixing a hidden flaw.
SFT and RL Reweight Pretrained Distributions via Demonstration and Reward Signals
Forget the fighting words. Supervised Fine-Tuning and Reinforcement Learning aren't warring factions.
Spatial priming beats semantic prompting in chart data extraction study
What works better when asking a multimodal model to read a chart: high-level reasoning guidance, or a simple grid drawn over the image?
OpenAI unveils Daybreak to secure Codex, with industry and government rollout
A vulnerability hunt that once consumed hours now collapses into minutes. OpenAI’s Daybreak doesn’t automate fixes; it accelerates judgment.
Digg relaunches as AI news aggregator, targeting busy users but faces adoption doubts
Digg is back. The social news pioneer, once a deafening stadium of upvotes and arguments, has quietly returned. Now it's an AI news aggregator.
New embeddings prioritize preferential similarity over semantics for clustering
We treat text embeddings as maps of meaning. But meaning is not one thing. Standard embeddings measure semantic similarity, how close two pieces of...