23 Matching Annotations
  1. Jan 2026
    1. Further ReadingI’m not gonna pretend to be an expert here (any more than I’m an expert Obsidian plugin developer :p) but here are some resources that helped me figure out Claude CodeKent writes a lot about how he uses Obsidian with Claude Code.This is an incredible hub of resources for using Claude Code for project management, by someone who also uses Obsidian.This take on Claude Code for non-developers helped solidify my understanding of how it all works; it hallucinates less, for one thing.Eleanor Berger has fantastic tips for working with asynchronous coding agents and is incredibly level-headed about the LLM landscape.This article does a great job of breaking down all the nitty-gritty of how Claude Code works.Damian Player has a step-by-step guide on using Claude Code as a non-technical person that goes into more depth.Here’s a tutorial from a pro that breaks down best practices for using Claude Code, like the importance of planning and thinking things through, and exactly why a good CLAUDE.md file matters.

      Links w further reading wrt Claude Code and Obsidian. Most of these are links to X. Ugh.

    2. Suddenly, I can actually make use of the APIs I’ve always known existed.

      yes, recognisable, there are a whole bunch of APIs on things I woud like to use that I'm not bc figuring out their workings in Postman takes too much effort

    1. Cursor is an AI using code editor. It connects only to US based models (OpenAI, Anthropic, Google, xAI), and your pricing tier goes piecemeal to whatever model you're using.

      Both an editor, and a CLI environment, and integrations with things like Slack and Github. This seems a building block for US-centered agentic AI silo forming for dev teams.

    1. f you define agents as LLM systems that can perform useful work via tool calls over multiple steps then agents are here and they are proving to be extraordinarily useful. The two breakout categories for agents have been for coding and for search.

      recognisable, ai agents as chunked / abstracted away automation. This also creates the pitfall [[After claiming to redeploy 4,000 employees and automating their work with AI agents, Salesforce executives admit We were more confident about…. - The Times of India]] where regular automation is replaced by AI.

      Most useful for search and for coding

  2. Oct 2025
    1. Introduction: AI is now recently everywhere but we still need humans

  3. Sep 2025
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  8. Sep 2023
    1. in 2018 you know it was around four percent of papers were based on Foundation models in 2020 90 were and 00:27:13 that number has continued to shoot up into 2023 and at the same time in the non-human domain it's essentially been zero and actually it went up in 2022 because we've 00:27:25 published the first one and the goal here is hey if we can make these kinds of large-scale models for the rest of nature then we should expect a kind of broad scale 00:27:38 acceleration
      • for: accelerating foundation models in non-human communication, non-human communication - anthropogenic impacts, species extinction - AI communication tools, conservation - AI communication tools

      • comment

        • imagine the empathy we can realize to help slow down climate change and species extinction by communicating and listening to the feedback from other species about what they think of our species impacts on their world!
  9. Aug 2023
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  11. Oct 2021
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  13. Aug 2020
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  15. Apr 2015