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Articole: 10
  1. Testing Image Grounding Capabilities of Qwen3.8-Max

    Qwen3.8-Max arrived with strong multimodal results, so I wanted to try something more concrete than visual Q&A: give it an image, ask for structured bounding boxes, and draw the answer back onto the pixels.

  2. Token Capital Efficiency

    Satya Nadella recently published an excellent article on what a future firm looks like in an AI-driven economy.

  3. A Data Scientist RLM That Lives in Your Program

    … or how to process DataFrames with RLMs and DSPy Background: Recursive Language Models After experimenting with Recursive Language Models (RLMs) since their publication, I’ve been continually impressed by the powerful simplicity of the approach.

  4. Auditing a Codebase for 87 cents in 50 lines of code using RLMs

    Before we begin: Of course this doesn’t replace a proper (human) audit or security testing process, nor should it.

  5. AI’s Hedonic Treadmill vs. Task Horizon Exponentials

    Originally written September 2025 - a lot has changed between now and December when I’m posting this!

  6. Achieving 20 percentage-point improvement in structured extraction tasks using DSPy and GEPA

    There’s been lots of discussion recently on DSPy and the GEPA optimizer.

  7. Using DSPy to Detect Document Boundaries

    DSPy is becoming increasingly popular (at least in my bubble on X) - and, in my opinion, for good reason!

  8. Acceleration: Notes on ‘Measuring AI Ability to Complete Long Tasks’

    Link to Paper A paper released in March 2025 by researchers at Model Evaluation & Threat Research (METR) evaluated the ability of AI models to complete long-horizon tasks.

  9. Summarizing video transcripts with an LLM

    Tools Used: bat ffmpeg llm* mlx_whisper pdftotext shot-scraper* uvx *Big thanks to @simonw for an unending flow of useful tools which makes life easier every day.

  10. Measuring LLM Confidence

    Large Language Models (LLMs) have burst into the conversation and have already proven incredibly powerful in accelerating all sorts of knowledge work.