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Jianghong94

HN member
Joined
Fri, Apr 14, 2023, 11:12 PM UTC
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70
Public activity
45 items

About Jianghong94

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Recent public activity

  1. comment
    Comment #48681292

    lolol. Actually, I find AI has a reasonable chance to figure it out, as long as you point to the right source code. BTW to me these quirks actually can be used as some kind of job …

  2. comment
    Comment #48681254

    What I imply from the description is that, the default ring contains some shared global public data (e.g. a cache of bloomberg informations), and each individual team will have the…

  3. comment
    Comment #48681233

    Well I doubt these solutions are very useful outside; from what I read what they have is a universal data store (that isn't hard to implement using current off-the-shelf OSS), some…

  4. comment
    Comment #48389663

    I just went through a similar discussion in my $WORK (traditional finance company on NYSE with average IT expertise) and I think the thought process is as such: it's one thing to j…

  5. comment
    Comment #48302436

    Seriously, it's much easier to review the AI generated plan, instead of reviewing their code. What I found is that, if the change surface is small enough, AI can get it right under…

  6. comment
    Comment #48302417

    You know the funny thing is that, the lazy engineer can very likely ask you to just scrap all his code and vibe code again.

  7. comment
    Comment #47156353

    Honestly I don't understand why they/any fast-and-error-prone model position themselves as coding agents; my experience tells me that I'd much rather working with a slow-but-correc…

  8. comment
    Comment #47008264

    This. At this point AI/LLM/Claude Code is still a power user tool; the more you know about your domain + the more you're willing to reasonably use it, the more gain you have. That …

  9. comment
    Comment #47008162

    Well, like I said, there're hidden incentives behind the scene; in my case, the hidden incentive is that, the requester/client is one of the company's subpar broker, and PM probabl…

  10. comment
    Comment #47007056

    Maybe I'm being naive here, but for AI (heck, for any good algorithm) to work well, you need some at least loosely-clearly defined objectives. I assume it's much more straightforwa…

  11. comment
    Comment #46126251

    I believe so, see my result with Haiku extended thinking on. I think the weights are just too biased towards blurping out the majority of the training data of 'next year is xxx'. I…

  12. comment
    Comment #46126224

    I think the current trick for LLM API provider is to insert the today is $DATE into the system prompt, so maybe it's worthwhile to do that and see if that automatically fixes those…

  13. comment
    Comment #46126207

    I did a similar test especially with the extended thinking on and off for Haiku, and once you have extended thinking on, the result is more or less the same as Sonnet. Thought proc…

  14. comment
    Comment #45908991

    I don't think JB UIs been changing that much, albeit I haven't been working in the industry long enough. I think the last major UI redo was like 2,3 years ago and most of it is to …

  15. comment
    Comment #45888087

    Wait, no one mentions the default JetBrains IDE git UI? I mean, I get it if you're working from another IDE/text editor that doesn't have good git UI support out of the box, but JB…

  16. comment
    Comment #45739129

    An even more grotesque practice is to charge a stratosphere level premium for the product itself AND put its control behind a subscription e.g. 8sleep

  17. comment
    Comment #45690622

    this seem solvable if the whitelisting just allows regex

  18. comment
    Comment #45690578

    My take is that it's a standalone business consideration: Apple users are more inclined to pay for software (definitely the case for iPhone vs. Android, although I haven't found a …

  19. comment
    Comment #45540848

    OR problems are hard because whoever try to vibe coding it probably don't realize they fall into a specific algorithm and can prompt llm to do thatl; what's worse is that even if y…

  20. comment
    Comment #43585531

    Not only does the article claim that when we get to self-improving ai it becomes generally intelligent, it's assuming that AI is pretty close right now: > OpenBrain focuses on AIs …

  21. comment
    Comment #43585417

    Putting the geopolitical discussion aside, I think the biggest question lies in how likely the *current paradigm LLM* (think of it as any SOTA stock LLM you get today, e.g., 3.7 so…

  22. comment
    Comment #43585030

    Well based on what I'm reading, the OP's intent is that, not all (hence 'fully') validation, if not most of, can be done in-silico. I think we all agree that and that's the major b…

  23. comment
    Comment #43536703

    Yep that's what I've been thinking. This shouldn't be that hard, at this point LLMs should already have all the 'rules' (e.g. credit card A buys flight X give you m point which can…

  24. comment
    Comment #43536409

    Now THAT's the workflow I'd like to see AI agent automate, streamline and democratize for everybody.

  25. comment
    Comment #43536391

    Superhuman results 1/10 are, in fact, a very strong reliability guarantee (maybe not up to today's nth 9 decimal standard that we are accustomed to, but probably much higher than a…