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I was convinced https://github.com/memvid/memvid https://github.com/memvid/memvid was a joke until it turned out it wasn't.
by simonw 7mo ago
I was convinced https://github.com/memvid/memvid https://github.com/memvid/memvid was a joke until it turned out it wasn't.
- embedding-shape 7mo agoTo be fair, most of us looked at GPT1 and GPT2 as fun and unserious jokes, until it started putting together sentences that actually read like real text, I remember laughing with a group of friends about some early generated texts. Little did we know.
- Alifatisk 7mo agoAre there any public records I can see from GPT1 and GPT2 output and how it was marketed?
- walthamstow 7mo agoI don't think it was marketed as such, they were research projects. GPT-3 was the first to be sold via API
- deleted 7mo ago[deleted]
- embedding-shape 7mo agoHN submissions have a bunch of examples in them, but worth remembering they were released as "Look at this somewhat cool and potentially useful stuff" rather than what we see today, LLMs marketed as tools. https://news.ycombinator.com/item?id=21454273 https://news.ycombinator.com/item?id=21454273 / https://news.ycombinator.com/item?id=19830042 https://news.ycombinator.com/item?id=19830042 - OpenAI Releases Largest GPT-2 Text Generation Model HN search for GPT between 2018-2020, lots of results, lots of discussions: https://hn.algolia.com/?dateEnd=1577836800&dateRange=custom&dateStart=1514764800&page=0&prefix=false&query=GPT&sort=byPopularity&type=story https://hn.algolia.com/?dateEnd=1577836800&dateRange=custom&...
- Den_VR 7mo agoI still think of The Unreasonable Effectiveness of Recurrent Neural Networks and related writings. http://karpathy.github.io/2015/05/21/rnn-effectiveness/ http://karpathy.github.io/2015/05/21/rnn-effectiveness/
- embedding-shape 7mo agoFun to revisit no doubt, the comments make it even better. > SuckCocker 7 years ago - "in short: SKYNET is not far away. Be proud to be a part of it!"
- cindyllm 7mo ago[dead]
- dalemhurley 7mo agoWild how many people were predicting the AI slop, but was dismissing it as unlikely beyond some trolls.
- maplethorpe 7mo agoFrom a 2019 news article: > New AI fake text generator may be too dangerous to release, say creators > The Elon Musk-backed nonprofit company OpenAI declines to release research publicly for fear of misuse. > OpenAI, an nonprofit research company backed by Elon Musk, Reid Hoffman, Sam Altman, and others, says its new AI model, called GPT2 is so good and the risk of malicious use so high that it is breaking from its normal practice of releasing the full research to the public in order to allow more time to discuss the ramifications of the technological breakthrough. https://www.theguardian.com/technology/2019/feb/14/elon-musk-backed-ai-writes-convincing-news-fiction https://www.theguardian.com/technology/2019/feb/14/elon-musk...
- ethbr1 7mo agoAka 'We cared about misuse right up until it became apparent that was profit to be had' OpenAI sure speed ran the Google and Facebook 'Don't be evil' -> 'Optimize money' transition.
- sfn42 7mo agoOr - making sensational statements gets attention. A dangerous tool is necessarily a powerful tool, so that statement is pretty much exactly what you'd say if you wanted to generate hype, make people excited and curious about your mysterious product that you won't let them use.
- eric_h 7mo agoMuch like what Anthropic very recently did re: Mythos
- xpe 7mo agoThink about all the possible explanations carefully. Weight them based on the best information you have. (I think the most likely explanation for Mythos is that it's asymmetrically a very big deal. Come to your own conclusions, but don't simply fall back on the "oh this fits the hype pattern" thought terminating cliché.) Also be aware of what you want to see. If you want the world to fit your narrative, you're more likely construct explanations for that. (In my friend group at least, I feel like most fall prey to this, at least some of the time, including myself. These people are successful and intelligent by most measures.) Then make a plan to become more disciplined about thinking clearly and probabilistically. Make it a system, not just something you do sometimes. I recommend the book "the Scout Mindset". Concretely, if one hasn't spent a couple of quality hours really studying AI safety I think one is probably missing out. Dan Hendrycks has a great book.
- wat10000 7mo agoYou can run GPT2! Here's the medium model: https://huggingface.co/openai-community/gpt2-medium https://huggingface.co/openai-community/gpt2-medium I will now have it continue this comment: I've been running gps for a long time, and I always liked that there was something in my pocket (and not just me). One day when driving to work on the highway with no GPS app installed, I noticed one of the drivers had gone out after 5 hours without looking. He never came back! What's up with this? So i thought it would be cool if a community can create an open source GPT2 application which will allow you not only to get around using your smartphone but also track how long you've been driving and use that data in the future for improving yourself...and I think everyone is pretty interested. [Updated on July 20] I'll have this running from here, along with a few other features such as: - an update of my Google Maps app to take advantage it's GPS capabilities (it does not yet support driving directions) - GPT2 integration into your favorite web browser so you can access data straight from the dashboard without leaving any site! Here is what I got working. [Updated on July 20]
- fancyfredbot 7mo agoWow that is terrible. In my memory GPT 2 was more interesting than that. I remember thinking it could pass a Turing test but that output is barely better than a Markov chain. I guess I was using the large model?
- daveguy 7mo agoHere is the XL model. 20x the size of the medium model. Still just 2B parameters, but on the bright side it was trained pre-wordslop. https://huggingface.co/openai-community/gpt2-xl https://huggingface.co/openai-community/gpt2-xl
- wat10000 7mo agoProbably a much better prompt, too. I just literally pasted in the top part of my comment and let fly to see what would happen.
- sillysaurusx 7mo agoThere’s an art to GPT sampling. You have to use temperature 0.7. People never believe it makes such a massive difference, but it does.
- mlsu 7mo agoI was first made aware of GPT2 from reading Gwern -- "huh, that sounds interesting" -- but really didn't start really reading model output until I saw this subreddit: https://www.reddit.com/r/SubSimulatorGPT2/ https://www.reddit.com/r/SubSimulatorGPT2/ There is a companion Reddit, where real people discuss what the bots are posting: https://www.reddit.com/r/SubSimulatorGPT2Meta/ https://www.reddit.com/r/SubSimulatorGPT2Meta/ You can dig around at some of the older posts in there.
- PufPufPuf 7mo agoI used GPT-2 (fine-tuned) to generate Peppa Pig cartoons, it was cutely incoherent https://youtu.be/B21EJQjWUeQ https://youtu.be/B21EJQjWUeQ
- Bombthecat 7mo agoAnd now gpt is laughing,while it replaces coders lol
- MarcelOlsz 7mo agoWhy? Doesn't have jokey copy. Any thoughts on claude-mem[0] + context-mode[1]? [0] https://github.com/thedotmack/claude-mem https://github.com/thedotmack/claude-mem [1] https://github.com/mksglu/context-mode https://github.com/mksglu/context-mode
- simonw 7mo agoThe big idea with Memvid was to store embedding vector data as frames in a video file. That didn't seem like a serious idea to me.
- nico 7mo agoVery cool idea. Been playing with a similar concept: break down one image into smaller self-similar images, order them by data similarity, use them as frames for a video You can then reconstruct the original image by doing the reverse, extracting frames from the video, then piecing them together to create the original bigger picture Results seem to really depend on the data. Sometimes the video version is smaller than the big picture. Sometimes it’s the other way around. So you can technically compress some videos by extracting frames, composing a big picture with them and just compressing with jpeg
- jermaustin1 7mo ago> embedding vector data as frames in a video file Interesting, when I heard about it, I read the readme, and I didn't take that as literal. I assumed it was meant as we used video frames as inspiration. I've never used it or looked deeper than that. My LLM memory "project" is essentially a `dict<"about", list<"memory">>` The key and memories are all embeddings, so vector searchable. I'm sure its naive and dumb, but it works for my tiny agents I write.
- niuzeta 7mo agoJust read through the readme and I was fairly sure this was a well-written satire through "Smart Frames". Honestly part of me still thinks this is a satire project but who knows.
- deleted 7mo ago[deleted]
- DiffTheEnder 7mo agoIs this... just one file acting as memory?
- paulddraper 7mo agoOne video file
- deleted 7mo ago[deleted]
- pred_ 7mo agoTime for https://itsid.cloud/index2.html https://itsid.cloud/index2.html to be acquired by one of the big players, I guess.