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Show HN: Jik – a self-hosted language using region-based memory management https://ift.tt/r2yk3b8 November 2, 2026 at 01:21AM

Show HN: 2D world SIM where each creature runs a text classifier in the browser Each creature in this data lab is a real text classifier. You put together a workflow, and the creatures execute it. Just set a stream of incoming messages and watch them work: one filters out the spam, another tags each message's mood, finally a router sends each message to the right bin, and anything it isn't sure about goes to review The classifiers run entirely in your browser. It uses a 22.7M parameter model, int8 ONNX, about 10 ms a message, no API calls Outside the lab, the creatures also evolve, chat, gossip, build huts, plot charts, count numbers, process and eat words, code and dream when asleep. You can also see their stream of consciousness, which they turn into thoughts that they tag. And when they are asleep, you can watch their dreams There are a lot of ways of modifying or evolving the environment and the creatures, including adding elements from other websites, playing music and cha...

Show HN: InterviewLint – Practice explaining code, not just writing it https://ift.tt/MivNWKc October 31, 2026 at 11:36PM

Show HN: A language model that lives in a boot sector All the ideas came from the boot sector demo scene where people had been writing chess and BASIC games in 512 bytes, even a C compiler. I wondered what one can do using a neural network instead of a program and generating boot logs for non-existent hardware was something fun to try. Entire inference engine is 510 bytes of MBR, weights, vocab, and strings reside in the sectors following MBR. Small char-level neural network was trained on dmesg generated by machine, so machine produces Linux boot messages infinitely. train.py performs precisely the same integer arithmetic operations as the asm code does and thus produces an output identical character-by-character to the one produced by QEMU. The difference analysis revealed my favorite bug. The characters at the beginning matched those generated by the simulator, but then the output diverged. I retrieved the hidden layer via QEMU’s debug port and compared the neurons' values with ...

Show HN: I rebuilt Kubernetes for ESP32 microcontrollers https://ift.tt/K1XONGR October 29, 2026 at 10:05PM

Show HN: Pho – TUI for GitHub PRs https://ift.tt/IBRlDMS October 30, 2026 at 12:32AM