eigen-vector

5 ms·

1. 1.▲
   Show HN: An annotated archive of S-1 filings, with hindsight(s-1.space)

   2 points by eigen-vector 20d ago|0 comments
2. 2.▲
   Show HN: Chaser (beta) – Share Mac windows as screenshots and UI context(chaser.vgnsh.xyz)

   1 points by eigen-vector 2mo ago|0 comments
3. 3.▲
   by eigen-vector 5mo ago

   Yegge is basically posting straight up slop these days. He's making some extremely confident claims about google after talking to one person. Didn't stop to think if that person is the most informed on this. Somehow yegge also has
4. 4.▲
   Show HN: Sift – local, de-noised GitHub notifications(github.com)

   2 points by eigen-vector 6mo ago|0 comments
5. 5.▲
   by eigen-vector 6mo ago

   Thank you for taking a look! Yeah there's definitely a few tells which are noticable if you look for it :)
6. 6.▲
   by eigen-vector 6mo ago

   Thank you for trying! I first built it as 'detect the human' response, but that was counter to the 'slop or not' framing. Yeah I'm also observing the same based on the first few hundred people's results. The ha
7. 7.▲
   by eigen-vector 6mo ago

   Ha :) I'm not building models, nor am I affiliated with any big labs. The idea is to use this to educate people how to spot tells of AI writing. Although like any data that's made open this can be used to train future models as we
8. 8.▲
   by eigen-vector 6mo ago

   thank you so much for taking a look :) Yeah you'd be surprised how difficult it can get to spot nuances sometimes. Sometimes, there isn't any nuance at all and the AI is just as good at writing about something pretending to know a
9. 9.▲
   by eigen-vector 6mo ago

   You'd be surprised at the nuances we tend to miss :) This time around I prompted the models not necessarily to be adversarial - i didn't ask them to try and fool the reader. But i gave them contextual info - something to the effec
10. 10.▲
    by eigen-vector 6mo ago

    Thanks for checking it out! The color signal is useful feedback. Let me think about it and rework! Yeah there are some very obvious tells, but the models that are most capable are very good at writing like human. Especially when the human r
11. 11.▲
    by eigen-vector 6mo ago

    Thanks for checking it out! The obvious ones are (hopefully) weaker models :) but yes my experience has been unless you're engaging with human written content consistently the line really blurs easily.
12. 12.▲
    Show HN: Slop or not – can you tell AI writing from human in everyday contexts?(slop-or-not.space)

    19 points by eigen-vector 6mo ago|20 comments
13. 13.▲
    Show HN: Talkatui – WWE style live commentary for your AI coding sessions(github.com)

    3 points by eigen-vector 7mo ago|1 comments
14. 14.▲
    by eigen-vector 7mo ago

    Such a beautiful thing :)
15. 15.▲
    by eigen-vector 7mo ago

    absolutely. May be the best way to do this would be some kind of a recipe store where the user can run (we can fuzzy match?) tshark oneliners. I'd love your thoughts on what the easiest/quickest integration would be.
16. 16.▲
    by eigen-vector 7mo ago

    Thanks a lot! There is a bookmark and export feature that does what you're asking for!
17. 17.▲
    by eigen-vector 7mo ago

    Sorry that was a miss on my part. I fixed it in the latest main. Will recognize both in the next release.
18. 18.▲
    by eigen-vector 7mo ago

    I've added images to the readme :) Thanks for your feedback!
19. 19.▲
    by eigen-vector 7mo ago

    You are not wrong :)
20. 20.▲
    by eigen-vector 7mo ago

    Will do! I agree
21. 21.▲
    by eigen-vector 7mo ago

    This has been addressed and is in main now :) thanks again!
22. 22.▲
    by eigen-vector 7mo ago

    All this has been pushed to main. Thanks again!
23. 23.▲
    by eigen-vector 7mo ago

    So sorry I couldn't resist :) But hey this is a great way to get your kid interested in networking!
24. 24.▲
    by eigen-vector 7mo ago

    Thanks a lot. No reason to have upper case letters besides forcing intent and not move on accidental key presses. However, I have 'q' not mapped to upper case so I missed the obvious footgun :)
25. 25.▲
    by eigen-vector 7mo ago

    thank you :) I would be lying if I said the name wasn't the spark. The project lives to serve the name.
26. 26.▲
    by eigen-vector 7mo ago

    Thanks a lot for trying. My experience with packet inspection is similar and that's what resulted in me trying to build a simpler plain language UI companion. • Back navigation: good call. I'll make "Esc back" more expli
27. 27.▲
    by eigen-vector 7mo ago

    Yeah, right now it's closer to "triage for non-experts" than "full teaching tool," and l agree there's an awkward middle where it assumes you recognize some concepts (flows/ports/latency) while trying
28. 28.▲
    by eigen-vector 7mo ago

    This isn't meant as a replacement for tshark. It actually uses tshark for the live capture part. tshark is the engine; Babyshark is the guided Ul on top of it. • tshark: raw packet/field dump + powerful filters, but you have to kn
29. 29.▲
    by eigen-vector 7mo ago

    I'm not trying to say it's better than the GUI but it hopes to be more guided. it’s *opinionated* about the first 60 seconds: - *Overview dashboard*: immediately surfaces top talkers/flows + “what should I click next” instead
30. 30.▲
    by eigen-vector 7mo ago

    Thanks for the look. Babyshark is inspired by a bunch of terminal tools (termshark included), but the focus here is different: domains/weirdness-first drilldowns + "explain" + live-mode hostname hints (including observed IPs