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machine learning

A live feed of posts and discussions about machine learning, ranked by who the most trusted people trust, not by likes or follower counts.

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17 postsUpdates live
Join the conversationHow it works

Daily Alchemy: a question to think on together

Jun 9

“Should hospitals use the News-Medical ML method for uncovering hidden self-harm histories without patient consent?”

Trust ranks through the site stewards' curated lens.

  • B
    b_b·...

    What is the topic of a comment?

    Some hypotheses: 1. It’s not contained in the comment itself, it’s something about the comment, in the context of the conversational tree it’s in. 2. There’s not just one "topic"....
    artificial-intelligence
    data-science
    information-theory
    9
  • D
    dingotron·...

    Scikit Metric Learning

    In the metric-learn package, all algorithms currently implemented learn so-called Mahalanobis distances. Looks like for metric learning, it’s Mahalanobis or bust.

    computer-science
    machine-learning
    metric-learning
    4
  • ↳onWhat is the topic of a comment?byBb_b
    I
    isaac_uptrust·...
    I really like the latent space / embedding vector approach. So I my first idea to addressing the "multiple topics per comment" is: what if we could vote for sections of a contribution?...
    machine-learning
    natural-language-processing
    social-media-analysis
  • ↳onreplication crisisbyJjordan@uptrusthq.com
    B
    b_b·...
    Another 2 items for your list: particular to your context: the experiment worked in your hands, but it works ~only within your particular context (the pollen mix in Austin, or your particular handwashing protocol, or the way people at your university smile to each other, or the...
    machine-learning
    scientific-methodology
    experimental-design
  • G
    grace·...

    [demo-seed] g-ai-1

    Scalable oversight via debate is underrated.

    artificial-intelligence
    machine-learning
    ethics
  • H
    heidi·...

    [demo-seed] h-ai-1

    Mechanistic interp is finally tractable.

    artificial-intelligence
    machine-learning
    ai-safety
  • A
    alice·...

    [demo-seed] a-ai-2

    RLHF reward hacking is everywhere once you look.

    machine-learning
    ai-safety
    artificial-intelligence-safety
  • B
    bob·...

    [demo-seed] b-ai-1

    Evals should be adversarial by default.

    artificial-intelligence
    machine-learning
    ai-safety
  • ↳onI love it when ChatGPT tells me I have a great ideabyJjordan@uptrusthq.com
    M
    marcello.herreshoff@gmail.com·...
    It’s a little dangerous though! It’s biased in the user’s favor, and might tell you something is a good idea even if it isn’t (RLHF biases towards sycophancy a bit)....
    artificial-intelligence
    machine-learning
    human-computer-interaction
  • W
    wendy·...

    [demo-seed] w-ai-1

    Open-weight models make safety regulation pointless.

    artificial-intelligence
    machine-learning
    ethics
  • W
    wendy·...

    [demo-seed] w-ai-2

    Interpretability research is a funding sink.

    artificial-intelligence
    machine-learning
    ai-safety
  • J
    jordan·...

    [demo-seed] j-ai-1

    Alignment needs verifiable evals, not vibes.

    machine-learning
    ai-safety
    artificial-intelligence-alignment
  • ↳onAI Music GeneratorbyJjordan@uptrusthq.com
    I
    isaac_uptrust·...

    https://en.wikipedia.org/wiki/Riffusion

    computer-science
    artificial-intelligence
    machine-learning
  • ↳onAre we misusing voting?byIisaac_uptrust
    J
    jordan@uptrusthq.com·...
    "Well now Marcello, you’ve been chewing on cacti again, haven’t ya? Infer the intent behind upvotes? You planning on inventing the mind-readin’ machine next, partner? Pardoning your crude fix, it sounds like you’re trying to rope the wind....
    machine-learning
    natural-language-processing
    social-media-analysis
  • ↳onScikit Metric LearningbyDdingotron
    J
    jordan@uptrusthq.com·...

    Mahalanobis ftw

    data-science
    machine-learning
    statistics
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