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Simon Willison describes Battle Drones, a vibe coded RTS built with Claude
Willison built the browser RTS mostly with coding agents, mainly Claude Code, over 12 iterations and 321 commits. It includes audio-based multiplayer for two devices in microphone range, and he says he reviewed almost none of the code.
Hugging Face model Spark-X2.6-4B, a compact on-device language model, is released
Spark-X2.6-4B keeps the Spark-X2.5-4B architecture and gains from improved post-training, with three thinking levels (none, low, high). The developer claims it matches or beats models around 9B parameters on open-source benchmarks.
Six-way benchmark compares Qwen3.8-Flash-Next locally against Claude Opus 5.5 on a Rust feature
A community test of 12 PRs on a LlamaStash feature found Opus 5.5 averaged 82% against 68% for Claude Code with Flash-Next and 66% for Pi with Flash-Next. Flash-Next ran locally at about 4.16 bpw, so the author paid only electricity, and results are a single developer's unverified experiment.
Ornith-1.5-122B, a Qwen-based finetune, released in GGUF and NVFP4 formats
Ornith AI introduces Ornith-1.5, which continuously generates its own training tasks and improves through reinforcement learning, extending Ornith-1.0 built on Qwen3.5 and Gemma4. GGUF and NVFP4 builds are on Hugging Face, with more details in the company blog.
Community post shares a Qwen prompt that makes the model draft and refine iteratively
A Reddit user reports that adding a fractal draft-test-refine prompt to Qwen 3.8 Flash Next made it faster and more decisive in their own projects. The claims are anecdotal and no benchmarks are given.
Berth open-source tool lets a single RTX 4090 be shared between local AI engines
Berth is a system service that swaps and loads local AI engines such as llama-swap, strata and ComfyUI on one GPU, and can serve them as an API. The project is shared as a GitHub repo.
Developer proposes entropy-gated adaptive thinking for LLMs with parallel reasoning trees
A Reddit post describes using entropy per token to trigger extra thinking blocks, with parallel branches chosen by JEV logic. The author shares an open-source GitHub repo and says the idea targets local models that can run multiple streams.