OpenAI

Latest AI news, models and releases from OpenAI. ['Atlas', 'autonomous agent built on OpenAI models', 'autonomous model', 'ChatGPT', 'ChatGPT Codex', 'ChatGPT Enterprise', 'ChatGPT-Live', 'ChatGPT-User', 'ChatGPT Work', 'Claude Fable 5', 'CLIP', 'Codex', 'Codex CLI', 'Codex Micro', 'Codex Security CLI', 'DALL-E', 'DALL-E 2', 'DALL-E 3', 'DALL·E 3', 'experimental prototype', 'GPT', 'GPT-2', 'GPT2', 'GPT-3', 'GPT 3.5', 'GPT-3.5', 'gpt-3.5-turbo', 'GPT-3.5-turbo', 'GPT-3.5 Turbo', 'GPT-3-XL', 'GPT-4', 'gpt-4.1', 'GPT-4.1', 'gpt-4.1-mini', 'GPT-4 (ChatGPT)', 'GPT4-o', 'gpt-4o', 'GPT-4o', 'GPT-4o-0806', 'GPT-4o mini']

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How to set up a local AI agent for coding and avoid dependency on rising cloud model prices

The Register guides readers on setting up a local AI coding assistant using the Qwen3.6-27B model to avoid rising costs of cloud APIs. The article covers inference setup, hyperparameters, and three agent frameworks: Claude Code, Pi Coding Agent, and Cline. It concludes that while local models are not yet replacements for frontier models, they are surprisingly capable for many tasks.

Alibaba/Qwen

Anthropic

OpenAI

Microsoft

10 ideas from AI Engineer on how development changes when agents write code

OpenAI conducted an experiment where three engineers created a product of about a million lines of code in five months, with all code generated by Codex, in about a tenth of the traditional time. The key bottleneck shifted from code production to the ability to specify what to build, organize autonomous agents, verify results, and prevent system destruction. These insights were presented at AI Engineer 2026 conferences in London and San Francisco, with talks on harness engineering, long-running agents, multi-agent coordination, and more.

OpenAI

Anthropic

GitHub

Habr — хаб ИИ27.07 · 16:02

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