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sumitkumar

HN member
Joined
Wed, Apr 21, 2010, 5:23 AM UTC
HN karma
552
Public activity
86 items

About sumitkumar

https://sumitkumar.github.io

Building https://www.neovantik.lu

Recent public activity

  1. comment
    Comment #49241515

    Agree. Just pay attention to the follow up questions a learner is asking to see the progress. If the follow up is just "continue", "go on", "next" or a non-sequitur then it is smel…

  2. comment
    Comment #49186782

    With human devs, errors become recovery instructions. 400 Bad Request is fine for a client developer who reads it once at design time and fixes the code forever. it's dead weight f…

  3. comment
    Comment #49132916

    Google improved chrome by reading code: Google built an agent harness using Gemini to scan Chrome's codebase, trained on a knowledge base of prior CVEs and the entire Git history, …

  4. comment
    Comment #48814529

    electricity outage and battery running out is the end game for any real prolonged external emergency. Internet connection is just the soft edge.

  5. comment
    Comment #48778127

    And the broken glass breaks the dishwasher. It is a feature: planned obsolescence.

  6. comment
    Comment #48778064

    Can you please give some examples of the best tools/businesses which are being built like this? Genuinely curious. I know the vibe tech is really good but I don't know of any upsta…

  7. comment
    Comment #48602348

    Well, thank you for clarifying. The signal is getting lost in the noise. I assumed too soon after looking around just the datasette org github account and seeing so many repos and …

  8. comment
    Comment #48595940

    Our leader is Boris Cherny. Simon needs to resist the pelicans(and the django mindset) and Garry needs a new loop which can loop on itself without any human trigger so that the age…

  9. comment
    Comment #48595642

    I just went through the github project repository. It has 119 repositories. Is this how AI slop looks like in code? Made for the agents, by the agents? Is this separation of concer…

  10. comment
    Comment #48539372

    Not that far. Lawyers had a great deal of influence in creation of all modern nation-states, human rights, international law and maintenance of the core social contract in the mode…

  11. comment
    Comment #48538851

    This happens in any industry where value/status are at a premium. Finance, Law, VC guys were good too in the beginning but when the value/status change happens it attracts certain …

  12. comment
    Comment #48527947

    Everything is extractive. Farmer plants seeds, partially sets the environment. The work is done by the seed/sun/soil/water. And so is every profession: labour or not. Most of the b…

  13. comment
    Comment #48412823

    Documentation is worth it only if it is read. If your coworkers don't read/remember/respect the documentation process then people tend to not keep the docs up to date. Unless the d…

  14. comment
    Comment #48396238

    True, so the interference is the "computation"(heavy emphasis on quotes) which gives rise to the principle.

  15. comment
    Comment #48395965

    By Fermat's principle, a ray of light has to know where it will ultimately end up before it can choose the direction to begin moving in. So either something is computing it or some…

  16. comment
    Comment #48395624

    Yes this is more like compression to remember and not for learning/understanding.

  17. comment
    Comment #48395279

    The original did not come out of a vacuum. It was done on multiple generations of meat. Even though this one uses a little bit of silicon, it is still standing on the same shoulder…

  18. comment
    Comment #48395230

    The weights start with a random manifold. The training takes data and shapes the manifold, weight by weight, in many cycles. Once the training is the done manifold is fixed. When a…

  19. comment
    Comment #48260520

    so can we all agree that LLM models/agents are bad at BFS for exploring a problem space but are good at DFS to implement a solution if the context/requirements are rich enough.

  20. comment
    Comment #48260341

    The problem is because of the RL and system prompts by the providers which tend to placate the user using certain language tones and register for response. This objectively messes …

  21. comment
  22. comment
    Comment #48145272

    But the general use case is not the most efficient for a greenfield to-be fully managed by an agentic system code-base. It is built to be good around the scaffold(programming like …

  23. comment
    Comment #48145190

    He would be right if claude code was written by a team of humans. The AI written blob is slowing progress.

  24. comment
    Comment #47931995

    But once a human learns a function their errors are more predictable. And they can predict their own error before an operation and escalate or seek outside review/advice. For e.g. …

  25. comment
    Comment #47863660

    prompt: create a qr code to https://www.anthropic.com response: https://chatgpt.com/backend-api/estuary/content?id=file_0000... result: FAIL