ramoz

22 ms·

1. 481.▲
   by ramoz 1y ago

   Yea i dont think googles distribution has any real threat other than the enterprise monopoly equivalent. And googles path to evolved ad revenue is clear in Veo3. Effective ads will be personalized videos - Google owns the infrastructure and
2. 482.▲
   by ramoz 1y ago

   not fiction. Maybe like a System 1 vs System 2 thing from Thinking, Fast and Slow by Kahneman. ChatGPT mentioned The Case Against Reality but I never read that, the idea was similar.
3. 483.▲
   by ramoz 1y ago

   This is interesting actually. And reminds me of something vaguely - a book or something that describes how human attention and the things we see are highly optimized by evolution. We often miss a lot of details in reality due to this.
4. 484.▲
   by ramoz 1y ago

   Thank you to those who referenced kanboard in this thread. I got it running and it is sweet: $ docker pull kanboard/kanboard:latest $ docker run -d --name kanboard -p 8080:80 -e PLUGIN_INSTALLER=true kanboard/kanboard:latest (admi
5. 485.▲
   by ramoz 1y ago

   It's not just API calls though. It's often parallel processing of I/O (network, filesystem) and computational tasks like testing and compiling code.
6. 486.▲
   by ramoz 1y ago

   There is something here about the native filesystem and tooling. & some type of insight into what agentic software engineering will look like - I mostly feel like an orchestrator, or validator in the terminal window next to Claude Code
7. 487.▲
   by ramoz 1y ago

   For large codebases and task management, you can empower Claude Code with a simple filesystem framework. https://x.com/backnotprop/status/1929020702453100794 It sees everything it needs to in one pass, no extra re
8. 488.▲
   by ramoz 1y ago

   I do it indirectly. Gemini is my architecture goto. Claude Code for execution. It's just way more efficient to feed large portions of codebase at once to Gemini, pump out a plan and feed it to Claude Code. https://x.com&#x2F
9. 489.▲
   by ramoz 1y ago

   An entirely different software and agent architecture - built by the creators of Claude themselves.
10. 490.▲
    by ramoz 1y ago

    It is completely reasonable and often - very - useful to evaluate and interpret instructions with LLMs. You're stuck on the anthropomorphize semantics, but that wasn't the purpose of the exercise.
11. 491.▲
    by ramoz 1y ago

    There really isn't a good tool-calling model in open source, and I don't think the problem is fine-tuning.
12. 492.▲
    by ramoz 1y ago

    Would love for poker nights to be spun up in LA.
13. 493.▲
    by ramoz 1y ago

    15 years ago it wasn't the norm to spend all day at a desk in your home. Especially after a rapid induction to isolated living over a ~2year period; during the midst of cultural revolutions that pitted most young men in these forums in
14. 494.▲
    by ramoz 1y ago

    That’s what I’m advocating for. That’s not what was demonstrated in the blog
15. 495.▲
    by ramoz 1y ago

    This is exactly what I would do.
16. 496.▲
    by ramoz 1y ago

    I wouldn't ask for 100 different versions of the same feature from each of them. 1 agent is supposed to be powerful with proper context and engineering design decisions in mind - whether UI or backend. Asking 3 different agents to do t
17. 497.▲
    by ramoz 1y ago

    I don’t think it’s a great representation on of the utility of worktrees or even efficient practical use of agents.
18. 498.▲
    by ramoz 1y ago

    Literally every day when working on any type of data science or ML task
19. 499.▲
    by ramoz 1y ago

    I can import my entire codebase to Gemini and get more than a nuanced similarity score in terms of agent guidance. What’s the differentiator or plan for arbitrary query matching? Latency? If you think about it - not really a huge issue. Spe
20. 500.▲
    by ramoz 1y ago

    I kept wondering why Cursor was indexing my codebase, it was never clear. Anyway context to me enables a lot more assurance and guarantees. RAG never did. My favorite workflow right now is: - Create context with https://github
21. 501.▲
    by ramoz 1y ago

    Context and “memory” (not really a fan of this term and how industry uses it) are actually complex to manage for power users including humans and agents. While it may sound counterintuitive, the agents of today aren’t truly autonomous in th
22. 502.▲
    by ramoz 1y ago

    It's always good to humble the ivory tower.
23. 503.▲
    by ramoz 1y ago

    Yes def a needed thing for power users. You and I are going to end up competing because im evovling my original solution in this space, https://github.com/backnotprop/prompt-tower ... best of luck, great execution thu
24. 504.▲
    by ramoz 1y ago

    If you read Anthropic's latest model card. It's not just about keeping you safe - they are testing their own moral authority with these models. They seem to have a societal moral obligation vs user. Highly concerning. This seems l
25. 505.▲
    by ramoz 1y ago

    fake tweets with at least one real X account - wild where SaaS dark patterns are going.
26. 506.▲
    by ramoz 1y ago

    The limits animation is f'ing with my eyesight
27. 507.▲
    by ramoz 1y ago

    You're talking about a commodity interaction at this point your tool offers nothing different from a chatbot other than your confusing semantics and abstraction. What Im saying: If the point is to "convert this csv to markdown so
28. 508.▲
    by ramoz 1y ago

    Nice retrospective but I guess this process is no longer needed as model's get better; esp as they start enabling features like consistent subjects. Seems like a lot of overhead to correct text for inspirational images, but I can imagi
29. 509.▲
    by ramoz 1y ago

    AI as a use case doesn’t make sense to me. You’re using AI to create a transpilation of whatever modality. It’s a wasted step if the purpose is to feed back into AI.
30. 510.▲
    by ramoz 1y ago

    Rough guess - they worked hard to filter out American cultural influence and related social academics.