LLM agents are moving beyond code completion to multi-step software creation, tool calling, CAD workflows and even driver development. The emphasis is increasingly on task completion, rollback, evaluation traces and agent efficiency rather than raw token throughput.
A public dataset records 558 complete AI scientific agent trajectories with thoughts, tool calls, errors, and confidence. Traditional benchmarks look only at final outputs; here comparable frontier models reveal different error profiles. Claude Opus ...
Nvidia has released SoL-Pi, a standalone extension for the Pi framework. It adds four opt-in mechanisms, disabled by default, born from auto-research loops: they reduce repeated model turns, context replay, oversized observations, and unnecessary log...
An experiment with an old MacBook shows an AI agent observing the screen through a webcam and mirror, writing AMD drivers and checking its own progress in real time. The case signals an 'agent-first' approach to driver development and local debugging...
An ARM engineer used LLMs to find bottlenecks in Linux kernel compilation. The model generated a lot of code, much of it low quality, but identified room for parallelization that enables faster builds. The value is not in the generated code but in th...
A developer releases Jenny, an open source Electron app for running LLMs locally with tool calling, rollback and an IDE. No network calls beyond the local runtime; safeguards on destructive commands and file edits. Windows first, with reports of soli...
A guide shows how to connect llama.cpp, the MCP protocol and FreeCAD to generate solids with a local model. The workflow uses Qwen3.8-27B quantized Q4_K_M and an mmproj-F16 vision projector: the model can call tools, read screenshots and verify geome...
A technical post shows how Qwen3.8 27b in Q4_K_XL quantization runs on an RTX 3090 with 24 GB of VRAM and 100k token context. The author argues that small self-hosted LLMs capable of 80-90% of repetitive work erode cloud vendor revenue more than fron...
A user built a multiplayer FPS with a local Qwen 3.8 Flash Next model, Q4_K_XL quantization and 256k context, using opencode. Playable demo in two hours, three days of refinement, 20 tokens/s avg with MTP on RTX 5090 + RTX 4000 PRO. It highlights the...
