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

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

#111

Post by EZ-Cheeze »

nl wrote: post #97
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

That is the truly mind-blowing thing that's coming.

I am currently creating reference images for a game which I expect within 6-12 months I'll be able to feed into a multimodal ChatGPT to create 3D assets out of the 2D pics.

We'll be able to conjure up worlds at a whim - so start imagining them already!

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

#112

Post by EZ-Cheeze »

chrisweekly wrote: post #106
nl wrote: post #97

Earlier quoted context omitted.

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

Linked article / brief mentions interleaving of text and images as essential for certain kinds of learning; that particular intersection reminds me of the profoundly compelling multimodal book by Nick Sousanis, "Unflattening". Highest possible recommendation. https://en.m.wikipedia.org/wiki/Unflattening

I had that book but lost it in LA. This is the page I remembered the most and have shown to the most people:

https://twitter.com/nsousanis/status/245176914900299776?lang...

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

#113

Post by snowe2010 »

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…

It's good at it because OpenAI outsources the bad stuff to Kenya https://time.com/6247678/openai-chatgpt-kenya-workers/

People still have to look at this horrendous stuff.

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

#114

Post by fnordpiglet »

snowe2010 wrote: post #113
fnordpiglet wrote: post #93

Earlier quoted context omitted.

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…

It's good at it because OpenAI outsources the bad stuff to Kenya https://time.com/6247678/openai-chatgpt-kenya-workers/ People still have to look at this horrendous stuff.

To bootstrap, yes. But once you’ve built the machine, the people aren’t necessary.

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

#115

Post by basch »

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…

I remember having that epiphany in 2017, reading the original google transformer press release. I remember thinking “they taught computers to understand!, and someday soon i’ll be able to translate anything into anything.” And not like translating “languages” but translating contexts and concepts.

LLMs really shine when you try and combine two previously untouched things or map one bit of knowledge it a common pattern. Eg “summarize Mary Shelly’s Frankenstein as if it was an episode synopsis of Magic School Bus.” “Now do the same for Dracula.”

I remember my mind racing so much that day. With all the ideas of things it would unlock. And I still managed to under imagine just how many different types of knowledge, and different layers of knowledge and language, they would be able to encode into one compact dataset.

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

#116

Post by [deleted] »

EZ-Cheeze wrote: post #111
nl wrote: post #97

Earlier quoted context omitted.

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

That is the truly mind-blowing thing that's coming. I am currently creating reference images for a game which I expect within 6-12 months I'll be able to feed into a multimodal ChatGPT to create 3D assets out of the 2D pics. We'll be able to conjure up worlds at a whim - so start imagining them already!

[deleted]

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

#117

Post by basch »

EZ-Cheeze wrote: post #111
nl wrote: post #97

Earlier quoted context omitted.

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

That is the truly mind-blowing thing that's coming. I am currently creating reference images for a game which I expect within 6-12 months I'll be able to feed into a multimodal ChatGPT to create 3D assets out of the 2D pics. We'll be able to conjure up worlds at a whim - so start imagining them already!

Mark gets a lot of flack for metaverse, but can imagine world design where you start in a blank room and describe what you want around you, and it appears. Like the Matrix loading white room. And with voice recognition and eye tracking (and brain scans), how close are we to “you have to use your hands? It’s like a baby’s toy.”

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

#118

Post by rosetremiere »

DC-3 wrote: post #49

Nice project OP. I also love In Our Time. Some favourite episodes off the top of my head: * Wilfred Owen - https://www.bbc.co.uk/programmes/m001df48 * The Evolution of Crocodiles - https://www.bbc.co.uk/programmes/m000zmhf * The May Forth Movement - https://www.bbc.co.uk/programmes/m001282c * The Valladolid Debate - https://www.bbc.co.uk/programmes/m000fgmw * Gerard Manley Hopkins - https://www.bbc.co.uk/programmes/m…

One thing I am slightly wary about after listening to quite a few episodes is Melvyn Braggs seems to be a bit too patriotic oftentimes. It's nothing really obvious, but you hear a lot of "we" when talking about positive aspects of english history, and a lot of focus on all english innovations compared to other countries. Maybe I'm wrong though.

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

#119

Post by petesergeant »

rosetremiere wrote: post #118
DC-3 wrote: post #49

Nice project OP. I also love In Our Time. Some favourite episodes off the top of my head: * Wilfred Owen - https://www.bbc.co.uk/programmes/m001df48 * The Evolution of Crocodiles - https://www.bbc.co.uk/programmes/m000zmhf * The May Forth Movement - https://www.bbc.co.uk/programmes/m001282c * The Valladolid Debate - https://www.bbc.co.uk/programmes/m000fgmw * Gerard Manley Hopkins - https://www.bbc.co.uk/programmes/m…

One thing I am slightly wary about after listening to quite a few episodes is Melvyn Braggs seems to be a bit too patriotic oftentimes. It's nothing really obvious, but you hear a lot of "we" when talking about positive aspects of english history, and a lot of focus on all english innovations compared to other countries. Maybe I'm wrong though.

Seems pretty reasonable for a national broadcaster, no? Also British encompasses more than just the English, unless you specifically mean he’s excluding the other Home Nations…

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

#120

Post by EZ-Cheeze »

basch wrote: post #117
EZ-Cheeze wrote: post #111

Earlier quoted context omitted.

That is the truly mind-blowing thing that's coming. I am currently creating reference images for a game which I expect within 6-12 months I'll be able to feed into a multimodal ChatGPT to create 3D assets out of the 2D pics. We'll be able to conjure up worlds at a whim - so start imagining them already!

Mark gets a lot of flack for metaverse, but can imagine world design where you start in a blank room and describe what you want around you, and it appears. Like the Matrix loading white room. And with voice recognition and eye tracking (and brain scans), how close are we to “you have to use your hands? It’s like a baby’s toy.”

YES!!! That's exactly what's coming. I'm getting a head start by envisioning a rich world and creating pictorial references for it along with text descriptions. But it's a tiny head start: once the "holodeck" technology comes along, we'll all be able to create anything with just natural language and correcting anything the model got wrong. ITERATIVE CHISELING YO!!!

By the way, I am still using SD 1.5 inpainting.ckpt - thank you Runway for releasing it, it's perfect for my needs and abilities. I never even tried SD 2 and later ones - heard they worked completely differently and I'm too busy creating to be relearning.

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