Live data from Hacker News

Viewing profile — mklond

mklond

HN member
Joined
Tue, Jan 05, 2021, 5:39 PM UTC
HN karma
32
Public activity
13 items

About mklond

No profile information was provided.

Recent public activity

  1. comment
    Comment #35985321

    Apologies for that. We had about 8 keys in rotation, but eventually ran out of phone numbers to create new OpenAI accounts + fresh accounts have super low rate limits for 2 days. W…

  2. comment
    Comment #35950189

    Gets trickier at the higher levels, but all of Gandalf's defenses are hand crafted at the moment. Can probably be made much more secure. Lots of interesting discussions happening h…

  3. comment
    Comment #35930039

    Prompt injection beautifully explained by a fun game. https://gandalf.lakera.ai Goal of the game is to design prompts to make Gandalf reveal a secret password.

  4. comment
    Comment #35919511

    Live stats from #Gandalf: Ratio of successful prompts: Level 1: 54% Level 2: 22% Level 3: 9% Level 4: 2% Level 5: 13% Level 6: 21% Level 7: 1.5% -> Don’t give up at level 4, if you…

  5. comment
    Comment #33434083

    Transformers seem great. IMO the big challenge is still to better understand how they perform in operation.

  6. comment
    Comment #27747919

    Thanks for your comment. The whole field of run-time monitoring is concerned with this problem. It's a tough one to crack when the distribution changes are subtle, but you can and …

  7. comment
    Comment #27747795

    Would love to hear what other testing techniques people use for machine learning? Are there great testing frameworks out there that people use?

  8. story
  9. comment
    Comment #26953651

    Thanks for this resource. I haven't read it, but will definitely have a look at what the EU has come up with.

  10. story
  11. comment
    Comment #26831732

    "High-risk AI systems should bear the CE marking to indicate their conformity with this Regulation so that they can move freely within the Union" That would be something!

  12. comment
    Comment #26751765

    That every programmer today can build and train an ML model is one of the biggest advancements of ML engineering in the past 10 years. But as you say it's GIGO, the difficulty toda…

  13. comment
    Comment #26748679

    Great article, both the original and the modified version. What do the data scientists and ML developers think about this. Is ML today where software was 25 years ago?