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Introducing System One Models and Jev
TypeSafe AI announced its first “System One” model, Jev, a non‑text‑generating LLM that outputs type‑safe structured decisions with calibrated probabilities. It claims 40‑200× lower latency (70‑500 ms) and 100‑500× lower cost versus frontier LLMs, no hallucinations, and parallel sampling. The post includes a side‑by‑side demo, a custom “workflow” benchmark comparing Jev to GPT‑5.6/6 and other mod…
Show HN: Mini-AGI – Dynamic continual learning model trained on 8GB VRAM
mini-AGI is a byte‑level continual‑learning language model that fits on a single 8 GB GPU by paging expert weight files from disk. It uses two dense prelude blocks followed by a recurrent block applied up to 24 times per character, with adaptive depth (PonderNet halting) and per‑application top‑8 expert routing. The system maintains a RAM cache and a VRAM resident set, swaps experts based on dema…
One App, More Than One Native Window
Codename One now supports true native desktop windows via a new `Window` class that separates per‑surface state (paint queue, input routing, native peers) from the global `Display`. The change adds a `PaintSurface` abstraction, platform‑specific window back‑ends (AWT/Swing, Direct2D, GTK, UIWindowScene), and a migration path for components that assumed a single `Form`. Initial release has some UI…
CodeName Onecodenameone.com11 minBuilding a Linux GPU Driver for the M4 Mac Mini in One Month
Built a clean‑room OpenGL ES 3.0 Linux driver for Apple‑silicon M4/A18 Pro GPUs in ~4 weeks, covering reverse‑engineered firmware ABI, a Rust kernel driver, a custom IR/shader compiler, and user‑space Metal translation; achieved 200 fps Minecraft and WebGL demos, with heavy LLM assistance for debugging and code generation.
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A real‑world post‑mortem of a high‑volume face verification service that moved from a naïve synchronous API to an async, layered pipeline (edge validation, preprocessing, decoupled detection/verification, decision engine) to achieve 8.5k rpm, p99 < 1.8 s, 30 % cost savings, and strict privacy controls.
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