News reporting focused on AI and machine learning, covering the companies behind these technologies, their real-world applications, and the ethical concerns they raise. This includes areas like generative AI (large language models, text-to-image and video), speech tech, and predictive analytics.
OpenAI has merged a pull request on GitHub that reduces the Codex model context size from 372,000 tokens to 272,000 tokens. The change, part of a hotfix for version 0.144, was merged on July 18, 2026, and affects bundled model metadata.
Simon Willison accidentally activated a pet in Codex Desktop and then created his own custom pet called Pedalican, a pelican on a bicycle. The process used GPT-5.6 Sol xhigh and gpt-image-2 to generate sprite assets. Willison documented the entire process, including generated images, sprite sheets, and GIFs, and shared the open-source skills on GitHub.
Noma Labs discovered a critical prompt injection vulnerability in GitHub's new Agentic Workflows, dubbed GitLost. An unauthenticated attacker could leak private repository data by posting a crafted GitHub Issue in a public repository belonging to the same organization. The vulnerability exploits the AI agent's failure to distinguish trusted instructions from untrusted user content.
Microsoft's shift to per-token pricing for GitHub Copilot has been dubbed the 'Tokenpocalypse' by Reddit users. On TechCrunch's Equity podcast, hosts discuss how this change signals broader cost pass-through in the AI industry, the rapid rise and fall of tokenmaxxxing, and the challenges AI companies face as they prepare for IPOs amid escalating costs and regulatory uncertainty.
A developer has released tiny-vllm, a high-performance LLM inference engine written in C++ and CUDA, alongside a comprehensive course that walks through implementing the engine from scratch. The project covers loading models from Safetensors, running prefill and decode, building CUDA kernels, KV cache, and more. It is intended as a learning resource for engineers and educators.
GitHub is testing an experimental accessibility agent integrated with GitHub Copilot CLI and VS Code to answer accessibility questions and fix simple issues in front-end code changes. The agent has examined 3,535 pull requests with a 68% fix rate, targeting common problems like clear structure for assistive tech and text alternatives. Teams share insights on agent design, sub-agents, limitations, and using past issue data to improve results.
Microsoft plans to revoke most internal licenses for Anthropic's Claude Code and shift developers to its GitHub Copilot CLI tool. The move affects the Experiences and Devices team handling Windows and other products, with usage ending by late June. Sources point to cost savings at fiscal year-end alongside strategic reasons.
A GitHub project provides a hands-on workshop for building a full GPT training pipeline. Users write code for tokenization, transformer architecture, training loop, and text generation to train a 10 million parameter model on a laptop in under an hour. Designed for a single session, it uses character-level tokenization on Shakespeare data and supports Apple Silicon, NVIDIA GPUs, or CPU.
Microsoft included a 'Co-Authored-by Copilot' line in Visual Studio Code Git commits, even when AI features were turned off. A product manager pushed the change, which faced backlash on GitHub and Hacker News. The developer plans to revert it in version 1.119.
GitHub plans to switch Copilot billing to actual usage via GitHub AI Credits starting June 1, 2026. Plans keep base prices, include matching credits, and code completions remain free. Business users receive extra credits during transition.
GitHub will transition all Copilot plans to usage-based billing on June 1, 2026, replacing premium request units with GitHub AI Credits based on token consumption. Plans keep the same prices but include monthly credits matching those amounts, with options to buy more. Businesses gain pooled credits and budget controls, plus promotional credits for summer months.
A University of British Columbia student rewrote leaked source code from Anthropic's Claude Code using AI agents, sparking questions about copyright in the AI age. Anthropic demanded GitHub remove original copies due to violations, but the rewritten version remains online. The incident highlights tensions over intellectual property as AI tools quickly replicate creative works like code, art, and music.