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Show HN: BBC “In Our Time”, categorised by Dewey Decimal, heavy lifting by GPT

genmon.github.io

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Re: Show HN: BBC “In Our Time”, categorised by Dewey Decimal, heavy lifting by GPT

#91

Post by fnordpiglet »

v7n wrote: post #81
mattlondon wrote: post #55

Finally, my interest in LLMs is piqued! Seems like everyone has been getting excited around the search or code-generation use cases ... or simply trying to make it say naughty things (boring, not interested, wake up in a few more years), but this is eye opening. The idea of this as a "universal coupler" is fascinating, and I think I agree with the author that we are probably standing at an early-90s-web moment with L…

Bit of a tangent but I also predict an explosive demand for parametric AI-first design and simulation software. OpenSCAD works right now in the sense that the produced source is valid, but asking for even something well documented e.g. an AR-15 lower receiver does not impress.

Fusion 360 has a generative AI design extension already. Never used it, I’m too much a poor to use something like that.

Re: Show HN: BBC “In Our Time”, categorised by Dewey Decimal, heavy lifting by GPT

#92

Post by nextaccountic »

> Web scraping is usually pretty tedious, but I found that I could send the minimised HTML to GPT-3 and get (almost) perfect JSON back: the prompt includes the Typescript definition.

Could you share the prompt? Or, if OP can't share, does anyone have ideas for a prompt to do something like this?

Re: Show HN: BBC “In Our Time”, categorised by Dewey Decimal, heavy lifting by GPT

#93

Post by fnordpiglet »

flir wrote: post #58
genmon wrote: post #22

Some unlinked features... If you put the Dewey division in the URL, the directory auto-opens. e.g. here are episodes about prehistoric life (my current jumping-off point) https://genmon.github.io/braggoscope/directory#560 There's a visual map of episodes. After principal component analysis of the episode embedding vectors, these are the most significant two components as the x,y https://genmon.github.io/braggoscope/m…

This is great. I'll certainly be thinking of "classification" uses for ChatGPT in the future. Thinking out loud: Add the experts, not just the reading lists. They're a jumping-off point into academic-paper-space. What have they published? In what journals? Who have they collaborated with?

Here’s a powerful use - content moderation. Today we literally traumatize content moderators with the dregs of the human mind. Chatgpt is fairly good at identifying the classification of content on many dimensions, including the ones it’s actively screens for. Regardless of how you personally feel about content moderation, I would be happy to see humans not have to be actively involved in it and face the traumas they must live with for where the moderation happens. I’m sure it’ll get things wrong, but humans do too.

Re: Show HN: BBC “In Our Time”, categorised by Dewey Decimal, heavy lifting by GPT

#94

Post by Tarq0n »

genmon wrote: post #22

Some unlinked features... If you put the Dewey division in the URL, the directory auto-opens. e.g. here are episodes about prehistoric life (my current jumping-off point) https://genmon.github.io/braggoscope/directory#560 There's a visual map of episodes. After principal component analysis of the episode embedding vectors, these are the most significant two components as the x,y https://genmon.github.io/braggoscope/m…

Love the plot, for high dimensional embeddings try UMAP for a better result, maybe T-sne too if you're interested in clusters.

Re: Show HN: BBC “In Our Time”, categorised by Dewey Decimal, heavy lifting by GPT

#95

Post by megablast »

> Web scraping is usually pretty tedious, but I found that I could send the minimised HTML to GPT-3 and get (almost) perfect JSON back

What does this even mean?? You collected all the minimised html snippets then fed them to GPT-3?? How does this save any time??

Re: Show HN: BBC “In Our Time”, categorised by Dewey Decimal, heavy lifting by GPT

#96

Post by gerdesj »

genmon wrote: post #43
jack_riminton wrote: post #42

In Our Time has been a life-long companion, one of things that makes me proud of the BBC

Have you read the New Yorker articles about it? On _In Our Time_ -> https://www.newyorker.com/culture/podcast-dept/escape-the-ne... Profile of Melvyn Bragg -> https://www.newyorker.com/culture/the-new-yorker-interview/t... Both well worth your time.

"It’s just four intelligent people in a studio, discussing complex topics that are, as a friend of mine once said of Bragg’s openers, aggressively uncommercial."

Nicely put by the New Yorker.

Re: Show HN: BBC “In Our Time”, categorised by Dewey Decimal, heavy lifting by GPT

#97

Post by nl »

mattlondon wrote: post #55

Finally, my interest in LLMs is piqued! Seems like everyone has been getting excited around the search or code-generation use cases ... or simply trying to make it say naughty things (boring, not interested, wake up in a few more years), but this is eye opening. The idea of this as a "universal coupler" is fascinating, and I think I agree with the author that we are probably standing at an early-90s-web moment with L…

We are months away from being able to do this with images too.

All the pieces are there, and multi-modal (smallish) large language + image models are already being used in research labs; eg MS Kosmos-1[1]. Check out the visual IQ test results in the paper.

Kosmos-1 is only 1.6B parameters. When that or similar models scale out to 50B_ params they will be pretty amazing.

[1] https://arxiv.org/abs/2302.14045

Re: Show HN: BBC “In Our Time”, categorised by Dewey Decimal, heavy lifting by GPT

#99

Post by chezelenkoooo »

fnordpiglet wrote: post #93
flir wrote: post #58

Earlier quoted context omitted.

This is great. I'll certainly be thinking of "classification" uses for ChatGPT in the future. Thinking out loud: Add the experts, not just the reading lists. They're a jumping-off point into academic-paper-space. What have they published? In what journals? Who have they collaborated with?

Here’s a powerful use - content moderation. Today we literally traumatize content moderators with the dregs of the human mind. Chatgpt is fairly good at identifying the classification of content on many dimensions, including the ones it’s actively screens for. Regardless of how you personally feel about content moderation, I would be happy to see humans not have to be actively involved in it and face the traumas they…

I'm sure I remember Zuckerberg talking about this very thing in one of the Congress interviews he had.

I don't disagree with you, the content producers are always going to outnumber the moderators by a massive margin. It makes reasonable moderation very difficult.

Re: Show HN: BBC “In Our Time”, categorised by Dewey Decimal, heavy lifting by GPT

#100

Post by kwerk »

nextaccountic wrote: post #92

> Web scraping is usually pretty tedious, but I found that I could send the minimised HTML to GPT-3 and get (almost) perfect JSON back: the prompt includes the Typescript definition. Could you share the prompt? Or, if OP can't share, does anyone have ideas for a prompt to do something like this?

+1, and the OP mentions a wrapper to handle invalid JSON from GPT-3. I’d be interested in that too

OP’s other write up:

https://interconnected.org/home/2023/02/07/braggoscope

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