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Viewing profile — patresh

patresh

HN member
Joined
Mon, Nov 06, 2017, 7:14 PM UTC
HN karma
341
Public activity
37 items

About patresh

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Recent public activity

  1. comment
    Comment #48155758

    Where did you all go to once FiveThirtyEight died down? I occasionally read articles on Nate Silver's substack but I'm still missing the breadth of 538conbined with the trademark d…

  2. comment
    Comment #46552512

    I believe OP's point is that for a given model quality, inference cost decreases dramatically over time. The article you linked talks about effective total inference costs which se…

  3. comment
    Comment #46442619

    They're likely of limited use for someone looking for introductory material to ML, but for someone having done some computer vision and used various types convolution layers, it ca…

  4. comment
    Comment #46432955

    Does anyone have experience with longer DeepResearch tasks with Mammouth? How does it compare to using Gemini's / ChatGPT's DeepResearch or GPTResearcher + API-based alternatives? …

  5. comment
    Comment #46432799

    I've had no issues with the app lately, but it's still missing the feature of building a local search index to do searches based on e-mail content, like the web client can do.

  6. comment
    Comment #46314813

    Yes, I don't mean HN doesn't experience toxicity, but putting things in context, if you read random posts on X versus HN there is no comparison. Moderation for sure helps, would th…

  7. comment
    Comment #46314523

    Indeed, there are different societal structures that would attract more one or the other type of person. I wonder if it would be possible to simulate this to understand what behavi…

  8. story
    Ask HN: Rules for a desirable, non-toxic and less exploitable social platform?

    From what we have learned about the different flaws of different social platforms (networks and content), can we come up with some first principles that would make the platforms ha…

  9. comment
    Comment #46241795

    I also enjoy watching Charles, a French-Canadian cyclist currently cycling from Canada to Europe. As a geologist he regularly explains rock formations and rock types he encounters.…

  10. comment
    Comment #44835680

    If the diagram is representative of what is happening, it would seem that each cluster is represented as a hypersphere, possibly using the cluster centroid and max distance from th…

  11. comment
    Comment #44835658

    What is the clustering performed on? Is another embedding model used to produce the embeddings or do they come from the LLM? Typically LLMs don't produce usable embeddings for clus…

  12. comment
    Comment #42773292

    I agree with your premise that there is often an unproductive pendulum-like phenomenon in public debates where interpretations swing from one extreme to the other, making nuanced d…

  13. comment
    Comment #42771374

    Some of the disagreement or confusion seems to stem from the definition of the word "woke" which means different things to different people? Having read both essays I don't see the…

  14. comment
    Comment #40993322

    Some high paying jobs also come with high pressure and little free time which could harm life satisfaction. It could be that high earners that are likely to participate in such a s…

  15. comment
    Comment #39833265

    Another related one from last year based on the Othello game (cited in the above paper) : Do Large Language Models learn world models or just surface statistics? - https://news.yco…

  16. comment
    Comment #39699331

    How can one explain the graph you linked given the recent bull market in stocks? Wouldn't this mean that capital is flowing in which should lead to more hiring? Is the job market r…

  17. comment
    Comment #39614637

    The high level API seems very smooth to quickly iterate on testing RAGs. It seems great for prototyping, however I have doubts whether it's a good idea to hide the LLM calling logi…

  18. comment
    Comment #35973668

    Or order destroying the public streets leading to houses with alleged criminal activity.

  19. comment
    Comment #34993208

    RepRisk | Chief Technology Officer | Full-time | Zurich, Switzerland | https://www.reprisk.com RepRisk's goal is to drive transparency and accountability of company practices. As a…

  20. comment
    Comment #33214906

    If you need larger batch sizes but don't have the VRAM for it, have a look at gradient accumulation ( https://kozodoi.me/python/deep%20learning/pytorch/tutorial/2... ). You can acc…

  21. comment
    Comment #32989775

    She says that the ROI probability calculation is wrong, which is the last part of her video and a separate topic. The part about correlations has not been retracted AFAIK. I agree …

  22. comment
    Comment #32678206

    RepRisk | Full-time | Senior Data Engineer | Zurich, Switzerland | Required work permit or Swiss or EU citizenship | ONSITE / HYBRID RepRisk is a rapidly-growing global company and…

  23. comment
    Comment #29904483

    Also the next point > It should have (and has shown to have) better scaling laws is a statement based on two anecdotes but I don't see a compelling reason why this should be the ca…

  24. comment
    Comment #29830652

    Absolutely. Without giving proper context, the character giving an answer could be a wacky philosopher, a 5 year old child, a person from the 1800s, a liar, an uninterested passer-…

  25. comment
    Comment #29830297

    There is a fundamental difference between AI Dungeon-type chatbots and chatbots you typically encounter on websites e.g. for customer support. The former does not really have a goa…