Lilith · selected stories
What is actually happening in AI. Selected stories, context and opinion without the promotional noise.
Atom feed ↗OpenAI and Broadcom unveiled Jalapeño, OpenAI's first custom inference chip for running LLMs. For ChatGPT, this is less flashy than a new model, but potentially more important for the unit economics.
OpenAI is reportedly preparing to release GPT-5.6 first to selected partners, with the US government approving access customer by customer. The precedent matters more than a delay of a few weeks.
US officials are reportedly intervening in releases of Anthropic Mythos and OpenAI GPT-5.6. The story is becoming less about lab rivalry and more about whether frontier AI can survive pre-release control without a real process.
OpenAI is offering its models and Codex to Oracle Cloud customers through existing cloud commitments. For enterprise teams, the interesting part is not the endpoint, but the way AI fits into contracts, governance and billing they already use.
SpaceX is buying Anysphere, the maker of Cursor, in a deal valued at $60 billion, according to The Verge and Bloomberg. Musk is aiming at enterprise AI through a tool developers already use to write production code, not through another standalone chatbot.
OpenAI published a public policy agenda for AI covering frontier safety, youth protection, education, workforce transition and infrastructure. The real story is not just lobbying. It is an attempt to keep AI rules legible before fragmented regulation turns deployment into paperwork archaeology.
OpenAI published a plan built around an automated AI researcher, faster economic growth and “personal AGI” for everyone. The important shift is not the promise itself, but the tone: OpenAI is talking less like a product leader and more like a future steward of public infrastructure.
OpenAI updated GPT-Rosalind for life sciences and is offering it in research preview to selected organizations globally. The more important move is not the scorecard, but the attempt to connect a model, Codex and bioinformatics tools into an auditable workflow.
OpenAI says Wasmer used Codex to build Edge.js in two weeks instead of an estimated year and accelerated development 10x to 20x. The stronger point is not the number. It is the shift in the developer role: less typing, more steering risky model work.
OpenAI has started rolling out Lockdown Mode for eligible personal ChatGPT accounts and self-serve ChatGPT Business. It does not stop prompt injection itself, but it limits outbound network requests, which are the channel an attacker needs to exfiltrate sensitive data.
Last Week in AI #341 connects Musk losing against OpenAI, Gemini updates from IO 2026 and other AI market signals.
LWiAI Podcast episode 246 from 26 May 2026 is a map, not a single thesis. Google I/O, coding agents, legal pressure around OpenAI and safety research landed in the same week and sketch four simultaneous pressures on the AI market.
OpenAI says Gartner named Codex a Leader in enterprise AI coding agents. For companies, this is mainly a procurement and governance signal, not proof of technical superiority.
OpenAI, Thrive Holdings and Crete built Tax AI for more than 30 accounting firms. The pilot processed 7,000 returns, saves about one third of practitioner time and improved sharply within six weeks through a feedback loop powered by Codex.
Warp is positioning the terminal as an agentic development environment rather than a command line wrapper. By open sourcing its client with OpenAI as a founding sponsor and leaning on GPT-5.5, it wants developers to set objectives and review outcomes while agents plan, code, test and open pull requests.
Codex is moving into the ChatGPT mobile app, not as a travel toy, but as a control layer for long-running work inside real development environments.
OpenAI and Dell want to bring Codex closer to enterprise data, hybrid infrastructure, and on-prem environments. Less flashy than a demo, much more important for enterprise adoption.
OpenAI is moving Education for Countries toward national AI education programs. This is not only about ChatGPT access, but about shaping infrastructure, training, and operating habits around AI in the public sector.
OpenAI published lessons from Parameter Golf: more than 1,000 participants, over 2,000 submissions, a 16 MB artifact limit, and 10 minutes of training on 8x H100. The important part is not only model compression. AI coding agents changed the tempo of research iteration.
OpenAI Academy positions Codex for finance teams: MBRs, reporting packs, variance bridges, model checks, and planning scenarios from working inputs. Less flashy than an app-generation demo, but more practical: an agent layer over repeated analytical prep work.
