Digest - Wednesday, April 22, 2026

Meta will train AI agents by tracking employees' mouse, keyboard use

🟠 HackerNews by choult ▲ 5 💬 1

technical models tools

News about Meta's AI agent training approach involving employee monitoring. Related to AI tools and practices in the broader LLM ecosystem.

Just open-sourced a protocol + SDK that lets Claude drive your live app (ships as a Claude Code plugin)

🔴 r/ClaudeAI by /u/TheDeadlyPretzel

technical tools coding buildable # showcase

Open-source project showcase with complete implementation details, code examples, documentation, and working repository. Provides actionable integration path via Claude Code plugin with clear SDK shape and multiple framework examples.

Running Qwen3.6-35B-A3B Locally for Coding Agent: My Setup & Working Config

🔴 r/LocalLLaMA by /u/NoConcert8847

technical tools coding buildable # tutorial

Comprehensive configuration guide with hardware specs, JSON config, exact command-line parameters, parameter breakdown with justifications, and reference to official unsloth recommendations.

I tested 9 local models on the same flight sim prompt, all Q8, different Q providers, MLX

🔴 r/LocalLLaMA by /u/StudentDifficult8240

technical models coding research # showcase

Extensive comparative testing of 9 models with reproducible setup, interactive playable results, detailed findings on quant providers and model behavior, and planned follow-ups. Links to code, Medium writeup, and games.

Fine-tuned Qwen 3.5 2B to beat same-quant 4B, 9B, 27B, and 35B on a real dictation cleanup task, full pipeline, code, and eval (RTX 4080 Super, under £1 compute)

🔴 r/LocalLLaMA by /u/ComplexNode

research_verified models coding research_verified buildable # tutorial

Rigorous fine-tuning study with statistical significance testing (p < .0001), reproducible methodology, full code/dataset release, and validated improvements across model sizes.

Almost 10,000 Apple Silicon benchmark runs submitted by the community — here's what the data actually shows

🔴 r/LocalLLaMA by /u/cryingneko

research_verified models research # resource

Community-sourced benchmark dataset with nearly 10,000 runs, detailed performance patterns across chips, interactive comparison tool, and methodology documentation. Large-scale empirical analysis.

Updated Qwen3.5-9B Quantization Comparison

🔴 r/LocalLLaMA by /u/TitwitMuffbiscuit

research_verified models research tools # resource

Comprehensive quantization analysis with data-driven KLD (KL Divergence) benchmarks across 60+ GGUF variants for Qwen3.5-9B, using verifiable metrics with detailed methodology explanation and ranked results table.