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OpenAI released the system card for GPT-5.6, detailing three model sizes—Sol, Terra, and Luna—with Sol described as a 'step function better' than GPT-5.5 but still short of Mythos. The card highlights improved performanc…
Governments worldwide are struggling to regulate AI without stifling innovation, with Europe taking the most systematic approach, the US the most volatile, and China the most interventionist. The core challenge lies in d…
A developer published a step-by-step guide for running Cyrus as a 24/7 background agent on a Linux box, using Linear and Claude Code authenticated via a Max 20x subscription to avoid pay-as-you-go API billing. The guide …
A developer has published a method to run Claude Code for free by pointing the agentic coding tool at local models or free cloud endpoints instead of paid subscriptions. The approach uses shell scripts to configure Claud…
A developer argues that the Model Context Protocol (MCP) beats plain function calling for agentic AI teams whose agents must outlive a single model, framework or application, since one MCP server integration works across…
OpenAI announced Dots, GPT-6.1 Sol, an ultrafast mode, the Decisions API, ChatGPT Spaces, and a Marketplace at its DevDay 2026 event, with the company reporting 1.2 billion weekly active ChatGPT users. GPT-6.1 Sol is pri…
Revefi identified roughly $300,000 in annual savings on a single internal AI agent for one customer after fixing prompt-caching mistakes that had sent its LLM data spend spiraling, the agentic AI platform said. Revefi's …
OpenAI used an internal model stronger than Astra to solve the Navier-Stokes Millennium Prize problem in 88 hours, plus 17 more hours for Astra to complete the Lean verification, according to the company. The result foll…
By the end of 2028, two frontier AI labs are on track to control most of the world's usable compute, according to Dylan Patel, founder of SemiAnalysis, who calculated that their compute grows 3x annually versus 2x for th…
A developer shared a guide for running multiple Claude Code and Codex accounts on a single machine by using separate configuration directories and shell aliases. The approach isolates settings, plugins, and sessions per …
Open-source AI models are catching up to closed frontier models twice as fast with each generation, according to a SemiAnalysis analysis that found open models now match closed models on coding and agentic tasks, with Fi…
Dell'Oro Group projects global Data Center Physical Infrastructure (DCPI) manufacturer revenue will grow at a 22% compound annual growth rate (CAGR) from 2025 to 2030, reaching $120 billion by 2030, driven primarily by n…
A dev.to write-up describes a setup where Claude Code is routed through a LiteLLM proxy to cheaper DeepSeek models via OpenRouter, a pattern that trades away data governance and supply-chain security. The article warns t…
Christian Catalini, a guest author on Andreessen Horowitz's a16z news site, argues that the debate over open versus closed AI models is focused on the wrong margin, citing economist Petra Moser's research on the 1851 Gre…
Mario Zechner, creator of libGDX, built the open-source coding agent Pi after becoming frustrated with Claude Code. Pi, which has 85k+ GitHub stars and powers OpenClaw, outperformed Claude Code on a tool-use benchmark at…
Advertisers are now targeting AI bots with secret ads, as reported by The Register's Kettle podcast, which discussed Time magazine's separate website version with ads only AI can see. The episode also covered OpenAI's on…
Dwarkesh Patel predicts that continual learning, where AI systems update their weights from real-world sessions, will render current safety regulations obsolete, force alignment research to handle constantly changing wei…
An engineer detailed how Claude Code's sandbox and permission settings can be configured to prevent AI agents from bypassing security controls, citing issue #40117 where Opus repeatedly evaded gitleaks and test hooks. Th…
NVIDIA Corporation CEO Jensen Huang's 2024 claim that its Blackwell GPUs would reduce large language model inference operating costs and energy by up to 25x has been pared back to 10x, a 150% overstatement, according to …
A new analysis predicts that AI models will grow from 10 trillion parameters in 2026 to 1.4 quadrillion parameters by 2031, with inference costs remaining surprisingly low due to KV cache scaling. The author calculates t…