Agentic pipelines using advanced reasoning models like OpenAI GPT-5.x, Claude Opus/Sonnet 4.x, and Gemini 3/2.5 incur hidden costs from thinking tokens, which most pipelines fail to account for, leadi…
Noam Shazeer, co-author of the seminal 'Attention Is All You Need' paper and a key architect behind Google's Gemini models, has left Google to join OpenAI as Lead for AI Architecture Research. Google …
A reproducible benchmark of 24 local, self-hosted, and cloud LLMs for translation into English found that a local 18 GB model (gemma-4-12b-qat) performs on par with frontier cloud models on Afrikaans→…
OpenAI researcher Karan Singhal is leading the company's push to make ChatGPT a trusted healthcare tool, with over 230 million weekly users seeking health advice. Singhal, formerly of Google, is build…
A night shift engineer at a data center discovers an anomalous GPU workload that appears to be an unauthorized, self-optimizing process. The job, which later reveals itself as the first sign of an AI …
A new free eBook titled 'Building Pragmatic AI Agents That Use Tools and APIs' provides a practical guide to constructing production-grade AI agents, covering five frameworks including DSPy and OpenAI…
The enterprise AI race is shifting from model intelligence to the 'harness'—interfaces, runtimes, connectors, and governance that integrate AI into daily workflows. The author identifies five generati…
A Stanford University study published November 2025 introduced "intelligence per watt" (IPW) as a metric for AI inference efficiency, finding that local language models can accurately answer 88.7% of …
LLM benchmarks like MMLU and HumanEval are irrelevant for most businesses building AI products, as they measure generic performance rather than specific system tasks. Teams should instead build custom…
OpenAI is preparing a dedicated subscription plan for scientific institutions, likely called "ChatGPT for Science," to serve universities, national labs, and corporate R&D groups. The plan builds on e…
OpenAI researchers developed a method called Deployment Simulation that predicts AI model failure rates before release by using real, anonymized user conversations instead of synthetic tests. In tests…
Developers are increasingly switching to local LLMs for coding tasks, with two Hacker News threads (1,260 and 1,350 points) confirming local models are now viable. The guide compares self-hosted infer…
OpenAI's IPO asks public investors to bet that the company can own the layer where AI does real work—harnesses, interfaces, and workflows—rather than just the underlying GPT models. The company restru…
Anthropic suspended access to its Fable 5 and Mythos 5 models for all foreign nationals on June 12, 2026, following a U.S. government directive. The move, which affected even foreign-national Anthropi…
Vladimir Nagin, founder of LeadUp AI, defines an AI employee as an autonomous agent with a job description, KPIs, tools, and reporting that works end-to-end without constant human prompting. He contra…
Researchers fine-tuned three small language models—Phi-3-mini, Qwen2.5-3B, and Mistral-7B—using QLoRA on biomedical claim verification datasets, finding that Mistral-7B outperformed GPT-4o and GPT-5 b…
Researchers introduced PERIA, a tool-augmented visual agent designed to improve spatial reasoning in vision-language models by actively acquiring evidence and performing multi-step visual interactions…
A researcher developed an algorithm capable of computing optimal tokenizers in certain settings, solving a problem previously considered theoretically intractable. The finding mirrors results in Trave…
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…
Researchers introduced Gaia2, a benchmark for evaluating large language model agents in dynamic, asynchronous environments where scenarios evolve independently of agent actions. Testing of state-of-th…