Lilith · selected stories
What is actually happening in AI. Selected stories, context and opinion without the promotional noise.
Atom feed ↗Apple announced Siri AI and new Apple Intelligence features at WWDC 2026, while extending Private Cloud Compute to Google Cloud with NVIDIA GPUs for demanding tasks. After last year's Apple Intelligence disappointment, this is less about the keynote and more about whether Siri can finally survive outside the demo.
Simon Willison shows how he manually added pricing for Claude Fable 5 in AgentsView and immediately saw the cost of local coding agents by project. The small trick points to a bigger shift: AI coding is starting to look like infrastructure consumption, not an app subscription.
Zvi Mowshowitz's AI #171 is not one clean trend, but a signal map: Claude Opus 4.8, US frontier model testing, OpenAI's policy blueprint and PAC politics.
Nathan Lambert writes about Gemini Flash 3.5, Mythos, agent tools and the tension between open and closed models in his May outlook.
Zvi Mowshowitz reads Opus 4.8 through model welfare and argues that attempts to fix honesty, sycophancy and preference shaping can create new problems elsewhere. For teams deploying models, the reminder is that alignment is not a checklist.
Latent Space frames xAI Grok Imagine, through an interview with Ethan He, as a move from one shot video generation toward video agents. The thesis will be proven less by demo quality than by whether the system can iterate through a whole creative task.
Nathan Lambert argues that open and closed models are improving on different economic curves. The real question is not open source ideology, but where companies will keep paying a premium for the best model.
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.
Anthropic shipped Opus 4.8 with one concrete metric: the model is four times less likely to miss code flaws than its predecessor. It also adds mid-conversation system messages and reduces the minimum prompt cache size from 4,096 to 1,024 tokens.
Subquadratic has launched with $29 million in seed funding and introduced SubQ, a model built on a subquadratic architecture and sparse attention to push context windows as high as 12 million tokens. The promise is longer context, higher speed, better accuracy and lower cost. The proof still needs independent benchmarks.
Anthropic appointed KiYoung Choi as Representative Director of Korea before opening its Seoul office, reflecting unusually strong Claude usage in the country.
Pope Leo XIV released the encyclical Magnifica humanitas on safeguarding the human person in the age of AI. At the Vatican City presentation, Anthropic co-founder Chris Olah warned that frontier AI labs face incentives that can conflict with the public good.
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.
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.
Fello AI reviews SubQ's claims: 12M token context window, 52x faster prefill than FlashAttention on 1M tokens and frontier-class benchmark positioning. The numbers are striking enough to need independent verification before they change architecture decisions.
Latent Space uses the pullback of part of OpenAI's fine-tuning API as a useful reality check: for most AI products today the first step is not tuning weights but better evaluation, context, retrieval, tool use and workflow. Fine-tuning remains a strong tool, just not a universal fix for a poorly designed system.
Simon Willison tested Claude Code for web: Anthropic wrapped the local Claude Code experience in a hosted sandbox and made it usable from web and mobile. The important shift is not a more capable model, but a workflow change: coding agents become more valuable when they can run asynchronously and safely away from your laptop.
DeepMind introduced AlphaEvolve as a Gemini-powered evolutionary loop that automatically discovers better algorithms. Concrete production results: 30 % fewer errors in genomics, 20 % lower write amplification for Spanner, Klarna doubled transformer training speed.
OpenAI outlines its layered approach to ChatGPT community safety: model safeguards, abuse detection, policy enforcement, and collaboration with external safety experts.
