Deep Learning Personas

AI

chatbot experiment

SHOW HN2017

39points
11comments
#912of 2,242 in 2017
Top 41%of 2017 by points

How HN took it

RoastedHalf or more of the comments are critical

0 positive, 5 neutral or asking, 0 mixed, 5 critical, out of 10 comments about the project. Thread score -0.39.

Execution: 0 for, 3 againstPerformance: 0 for, 2 against

The thread, comment by comment

Each row is a top-level comment and its replies, in HN's order. Select a cell to open that comment on HN.

positive neutral or mixed critical about another commenter or something else the maker

What HN said

Objections

  • Answers are irrelevant or nonsensical

    From 3 comments
    • Honestly, this gives such irrelevant answers, it might as well be random. The presentation is pretty cool but it doesn't actually work well at all.
      dangelov on HN
    • Q: "How many electrons in an atom of Lithium?" A: "Of course not!" - Physics expert
      malux85 on HN
    • I asked about gravitational waves. The Physics Genius eventually answered with "Yes, a white trashbag and nothing else". http://imgur.com/kLtsooB
      luiscape on HN
  • Gets stuck in repetitive loops

    From 2 comments
    • It can enter a loop easely. Gamer girl vs. me me: yes gg: I'll send screen shots me: yes gg: I'll send screen shots me: yes gg: I'll send screen shots me: yes gg: I'll send…
      bbayer on HN
    • Responses to a specific message are deterministic in this model (no diversity promoting objective implemented) so this is to be expected :)
      julien_c on HN
  • Not working well enough to be public

    From 1 comment
    • Right now, it doesn't work at all. Would be great to test and iterate on it a bit and to have some sense to the answers before exposing it to the world.
      nyrulez on HN

Requests

  • Ask about training details and hyperparameters

    From 1 comment
    • Do you have any details on your experience training the models? Was this using vanilla RNNs, LSTM cells, did you use an attention mechanism, etc.? How long did you train for?
      aduffy on HN

Questions

  • What architecture and training duration were used?

    From 1 comment
    • Do you have any details on your experience training the models? Was this using vanilla RNNs, LSTM cells, did you use an attention mechanism, etc.? How long did you train for?
      aduffy on HN
  • Are separate models used or a persona vector as input?

    From 1 comment
    • Are these separate models, or are you supplying a persona vector alongside input? I've found the latter to be a very simple way to condition an RNN, e.g.…
      sprobertson on HN

Category, keywords, summaries and labels on this page were made by AI (Thread Reader v2) and not checked by hand. Each point links to the comments it came from.

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