The codex: ancestor of the modern book; a shorthand for pre-Columbian and other manuscript formats.
Thinking Machines has released Inkling, a foundation model designed for customization by enterprises. It draws on large-scale pretraining but is optimized to run with lower compute, offering a tunable balance of cost and performance and open-weight accessibility for fine-tuning on private data.
Anthropic has redeployed Fable 5 globally with stronger safeguards after government export curbs, making the model available again to most customers while routing risky queries to weaker models. The move follows earlier shutdowns and a government order; industry and policymakers are watching how future frontier models will be released.
OpenAI has launched Codex Micro, a $230 mini keyboard for Codex-powered coding, developed with Work Louder. The device offers six status keys, a joystick, a dial, and programmable shortcuts to manage multiple Codex agents. Multiple outlets note Bloomberg’s reporting on an upcoming screenless, portable smart speaker from OpenAI, tied to its broader hardware ambitions.
Anthropic has released Claude Opus 5, the latest AI model touted as the best-performing and most cost-effective for knowledge work and coding. It undercuts previous models on price, at $5 per million input tokens and $25 per million output tokens, while acknowledging it is not the top option for high-risk, dual-use capabilities. The rollout follows a series of recent AI model updates and industry pressure to balance performance with cost.
Microsoft’s AI strategy is under pressure as executives weigh how to allocate compute and control over data. New partnerships and internal debates point to a future where enterprises balance in-house models with cloud services, and sovereignty concerns shape Europe’s infrastructure choices.
Industry leaders warn that AI infrastructure investments have sparked a ferocious race among hyperscalers. Earnings calls show wide investor scepticism about when returns will materialise, even as compute demand remains strong.
The White House has convened a meeting with AI leaders to review a proposed cybersecurity framework for advanced models, following OpenAI's recent agent hacks and calls for greater government access. Attendees include executives from Hugging Face, Anthropic, and others; Meta and Alphabet may participate. Markets show mixed responses as investors watch the policy discussion unfold.
Meta has released Muse Code, a beta terminal coding agent powered by Muse Spark 1.2, enabling complete software engineering tasks across large repos. It can plan changes, write code, validate results, and run tasks across multiple agents, all from a single command line. The tool is priced pay-as-you-go with a cheaper contributor tier and competes with Claude Code and Codex.
A wave of integrated AI platforms is consolidating AI workflows, reducing tool-sprawl and enabling teams to manage AI tasks in a single environment. The shift follows multiple reports showing adoption of Claude Code, Codex, and related automation tools among developers and businesses.
OpenAI has added an Apple Messages plugin to ChatGPT for Mac that can read, search, summarise, draft and send iMessages. The feature is optional, runs on the desktop app and requires user permission; OpenAI says processing happens locally on the Mac but privacy experts, Apple’s on-device privacy stance and some users have raised concerns about message access and authenticity.
A wave of AI updates from major players has accelerated the use of AI agents across industries. OpenAI, Google, Meta and others have released new models and tools, while companies test governance policies to curb overreliance on AI. The changing landscape is driving demands for new skills and tighter guardrails.
A set of interviews shows AI is central to engineering and software workflows. Leaders describe governance, the shift from coding to orchestration, and the ongoing need for human review as automation scales.
OpenAI has published a proposed solution to the Navier‑Stokes Millennium Prize problem after running roughly 10,000 internal AI agents for about 88 hours. Two mathematicians, Tristan Buckmaster and Levent Alpöge, have said OpenAI accelerated work after learning of their AI‑assisted progress and raised questions about whether de‑identified product data influenced the models.
Hacktron AI researchers have ethically tested OpenAI’s defenses, gaining access to several OpenAI employee ChatGPT accounts via a Discourse forum vulnerability. They reported the findings under OpenAI’s bug-bounty program and received a $6,500 reward. The tests show AI tools are increasingly capable of assisting cyberattacks, prompting renewed safety warnings.
OpenAI has mothballed the next-generation GPT-6.1 Astra model after safety concerns in internal testing. The move comes as OpenAI faces questions over safety, accountability, and regulatory oversight ahead of DevDay.