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thoughtlede

HN member
Joined
Sun, Apr 18, 2021, 5:13 PM UTC
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97
Public activity
36 items

About thoughtlede

Giridhar Manepalli. https://exhypothesi.com

Recent public activity

  1. comment
    Comment #47928943

    Investor funds have been subsidizing the inference costs so far. Investors might move from funding the model providers to funding the enterprises that use those models. That is, th…

  2. comment
    Comment #47169236

    Strictly speaking, I don't think it is the generation or creation that diminishes their value. it is the consumption. You said it too: > If I see a million fake Tom Cruise videos, …

  3. comment
    Comment #46951556

    I think we can simplify the answer to this question for most audience and say "the air is blue". If they say, the air appears to be clear when I stare at something other than sky, …

  4. comment
    Comment #45893710

    For me there are two things about collaboration. Decision making is one, which you emphasized. The other is knowing what the collaboration brings to the table and shaping the rules…

  5. comment
    Comment #45488822

    It boils down to whether your LLMs can speak graph queries better than SQL, for your use cases and data. As your data posture changes and your use cases change, you routinely reeva…

  6. comment
    Comment #44975589

    memorization + application = comprehension. Rinse and repeat. Whether leet code or anything else.

  7. comment
    Comment #43574438

    It feels to me that the hypothesis of this research was somewhat "begging the question". Reasoning models are trained to spit some tokens out that increase the chance of the models…

  8. comment
    Comment #42811326

    tadkar did a good job at explaining ColBERT. I understood ColBERT well in the context of where it lies on the spectrum of choices. On one side of the spectrum, you reduce each of t…

  9. comment
    Comment #42476104

    When thinking about AI agents, there is still conflation between how to decide the next step to take vs what information is needed to decide the next step. If runtime information i…

  10. comment
    Comment #42448791

    > Beyond this, if you want to determine causality, e.g. whether events are "causally related" (happened before or after each other) or are "concurrent" (entirely independent of), y…

  11. comment
    Comment #42384164

    Perhaps these findings might be indicating that we need more NN layers/attention blocks for performing reasoning. This project circumvented the lack of more trained layers by loopi…

  12. comment
    Comment #42244583

    If function calling is sync, is MCP its async counterpart? Is that the gist of what MCP is? Open API (aka swagger) based function calling is standard already for sync calls, and it…

  13. comment
    Comment #40847760

    I think the mention of 'spaghetti code' is a red herring from the author. If the output from an algorithm cannot be defined precisely as a function of the input, but you have some …

  14. story
  15. comment
    Comment #40042792

    Interesting. I didn’t know this body of work. I haven’t read the documentation other than the abstract. If the protocol is about knowing what information to inject at what node in …

  16. comment
    Comment #39947899

    That's interesting. In keyword-based indexing solutions, a document vector is created using "term frequency inverse document frequency" scores. The idea is to pump up the document …

  17. comment
    Comment #39947229

    LLMs are both language processing engines and knowledge bases. This article explores the knowledge base aspect of LLM and sheds light on the potential danger. The authors are well-…

  18. comment
    Comment #39801860

    Yes, the camera sees everything. But we could avoid teaching the model certain things. For instance, an undressed body and a dressed body could both be taught as a body. Likewise, …

  19. comment
    Comment #39793088

    Yeah. Rollbacks or reruns are hard when dealing with external systems. Actions need to be idempotent for reruns to work. One thing you may focus on is making workflows more durable…

  20. comment
    Comment #39792956

    Thanks. What happens right now when the workflow fails mid-way? Do you ensure atomicity or durable execution?

  21. comment
    Comment #39792830

    Cool stuff. 1. For dynamic injection of arguments in your data plane, do you use LLMs? 2. What did you find you cannot do yet because of LLM limitations (and not because of lack of…

  22. comment
    Comment #39375517

    Answering to your second part of the question about hidden challenges: If you are using AI agents to automate a workflow [1] execution, then the question to ask is where is non-det…

  23. comment
    Comment #37774408

    Evolution of technology makes things unstable, not specifically servers. A decentralized application is not more stable than a centralized one. It depends on what's prioritized abo…

  24. comment
    Comment #37770385

    I have studied CRDTs at a deeper level for a few weeks and implemented several small prototypes. They are fascinating. As an eventual consistency model for data management, CRDT in…

  25. comment
    Comment #37711459

    In a multi-replica system, where, say, we cannot tolerate any failures or lags, is 2PC used in practice to achieve consensus? Or are there other methods for achieving such strict c…