I successfuly optimised a context compression prompt with @DSPyOSS GEPA and TextGrad, see github.com/Laurian/context-c…

my personal litmus test is asking ML engineers whether this is hardware or software

Excited to launch Luce KVFlash. We've been working harder than ever with @davideciffa to bring better DX for local AI. Today, long context has a second memory bill nobody budgets for: the KV cache. On Qwen3.6-27B at 256K it costs 4.6 GiB of VRAM and drags decode down to 13 tok/s, because every new token reads the whole thing. KVFlash keeps a small pool of KV on the GPU, auto-sized to your VRAM, and pages cold 64-token chunks to host RAM, bit-exact and recallable. decode holds a flat 38.6 tok/s from 64K to the native 256K on a 3090, 2.9x the full cache at 256K, 72 MiB resident and benchmark accuracy unchanged.

most of you don't know how big a deal it is that a single rtx 3090 from 2020 runs qwen 27b dense q4 with 256k context at 40 tok/s, full agentic loops on hermes agent, zero tool call failures. the more i build on this card the more i think nobody really knows how untapped it actually is. the silicon was always capable, the models finally caught up.

Had Hermes Agent with the Manim Video skill plus it's TTS tool create a video explaining Hermes' Agent.

We are finally getting our fable back. I built a repo that runs two opus 4.8 on the same question in parallel, blind to each other base on the OpenRouter Fusion. Then a third opus reads both and writes the final answer from where they agree, where they split, and what they both missed. One run can be confidently wrong. Two, cross-examined, can't hide it. Put the real fable system prompt on top of the claude.md and the judgment comes back. It sounds like fable again because it's doing what fable did. Link's in the comments.

It's now possible to compile Python extensions (C, C , Rust etc) to WebAssembly and distribute them through PyPI such that Pyodide can install them directly simonwillison.net/2026/Jun/1…

yes, eventually Fable was banned. but for a beautiful moment in time, we could one shot our whole backlog

You are Algernon. That's the fable.

Introducing the Fusion API, the smartest compound model in the market. Fusion achieves Fable-level intelligence at half the price. How it works 👇

Are we collecting our Fable traces somewhere to distill from?

it’s starting to feel like end of evangelion again

Now that I’ve tasted Fable 5, it’ll be hard to go back

(ノಠ益ಠ)ノ彡┻━┻

Apple TimeBand prototype (1990) From “Apple Design The Work of Apple Industrial Design Group” (1997)

AI Engineers who look at the data

the jokes write themselves

We've completely lost the tactile thrill of chunky, high-end remotes.