Prediction: natural language will be the runtime of user-facing deep learning applications
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dave
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My first (and best?) generation:
`sick burn. epic shitpost. ROFL LMAO`
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I joined where there were fewer than 20. It's been fun to watch.
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Non-native english speakers: what's your experience with prompting?
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An underrated feature of MusicLM is that is can condition on humming.
Consider the editing version of this: you're a composer, and the trumpet is coming in wrong. Not "ba BUM ba BUM" you say, but "BA bum BA bum". Again, from the top!
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"In societies where modern conditions of production prevail, all of life presents itself as an immense accumulation of spectacles. Everything that was directly lived has moved away into a representation."
- Society of the Spectacle (1967)
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Everyone's predicting a leap in general purpose text-to-video this year, but the real winner will be whoever does text-to-cat gif
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A great bit for anyone in the generative AI space. From in his recent podcast.
What good may look like between open-ended and constrained textual UIs.
[Sorry for this cringe video format 🫣. Wish Twitter did audio files!]
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The value of starting early in AI is that I'm already well past the "but surely it won't be able to do that" phase.
Need to remind myself to have empathy when I meet my former self out there.
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Hmm, a spectrum perhaps? 🤔
RPC = no semantics
REST = constrained semantics
GPT = freeform semantics
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"GPT is all you need for backend".
This was the most inspirational project from the hackathon over the weekend, hard to stop thinking about. LLM is a kind of equivalent of the Python interpreter, except it interprets English, and has knowledge and common sense. twitter.com/DYtweetshere/s…
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The greater the signal, the greater the noise.
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can’t we all just get along 
twitter.com/ylecun/status/…
twitter.com/ylecun/status/…1
ChatGPT should read this book.
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Everyone should read this book, it's (unironically) fantastic: amazon.com/Job-Stacking-L
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One year later, Sam tweets of having the highest talent density at OpenAI he's ever seen.
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OpenAI’s chief scientist: expresses curiosity/openness about a mysterious idea, caveats with “may”.
Meta’s chief AI scientist: the certainty of "nope".
Probably explains a lot of the past 5 years.
Dear Meta AI researchers: My email address is sama@openai.com. We are hiring!
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Now when I watch engaging content I think to myself "how would I do this with generative AI?", "what prompts would I use?" and it helps me notice how I am manipulated by humans on a daily basis.
The creation of tension, connection, emotion when of course everyone is just acting.
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The impact of AI on code may actually be one of the most underrated.
Imagine how many more ppl might "stick around" if the learning curve was not:
No, no, no, no, no, no... yes!
And instead more like:
Your code is doing X. Was Y intended? Not quite, but try this! You got it!
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We need to go deeper
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I am now a human, personifying an AI, personifying a prompt engineer, who personifies AIs.
github.com/karpathy/nanoG
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Hmm, we didn't program this behavior into Pierre Bhat...
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Some more pics!
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thanks so much for bringing us all together today!!! it goes to show the excitement and energy of ml folks that everyone hung around even as the air dropped to mind numbingly cold temperatures (54 f)
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The AI illuminati
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Thank you to and for hosting a great hackathon, the judges , and for an incredible prompt engineering session, and whoever brought those puppies.
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It was really cool that a bunch of strangers came together for a day to build over a shared vision.
And we were 1 of 8 finalists out of over a hundred teams!
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For the hackathon we made Pierre Bhat, a prolific AI coder who roams GitHub resolving issues with PRs, starting with 's nanoGPT.
github.com/pierrebhat
Grateful to the team!
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If you can put images and text into the same embedding space (like CLIP does), then you should be able to take the derivative of an image with respect to a word.
That's how I think image editing will work eventually. And every other modality as well. The calculus of AI.
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who else's gonna be at the hackathon in SF Sat? i'll be there.
so far i know of and , both super talented!
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Web crawlers were also first seen as theft before they were seen as distribution.
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My thoughts on the lawsuit is that their models can be an amazing way to discover and promote artists, and the faster we get there the happier everyone will be.
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What patterns are there to how Copilot builds its context window that can be reused for "Copilot for X"?
Seems like an art when it might be a science?
Maybe an LLM where the context is a mix of app-specific tokens and natural language will be the norm?
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The keyboard is now the mouse
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Somewhere, someone is quietly working on Engelbart's "Mother of All Demos" for AI, where every human-computer interface is rethought from first principles
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I heard no matter or energy escaped the training of GPT4. If that's compressed down to an Azure ND A100 v4 node we may be in serious trouble.
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Nick ran a huge chunk of the ML teams , across research and production. I've come to expect this level of quality and attention to detail. Can't wait to see where booth.ai goes to push the limits of generative AI.
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Visual content is 40x more likely to get shared on social media.
So, how do you scale it?
This generative AI can create hundreds of photos of your product with one click: booth.ai
Try it free today.
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It's not that there's no moat in AI, it's that features aren't products anymore.
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Some blame this weather on global warming, but such displays of awesome power can only stem from the anger of a spiteful God against the arrogance of
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Who is building 's RLAIF (ConstitutionAI) LLMs as a service?
you know, RLAIFLLMAAS
but seriously, anyone building that?
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