chompychop

They should have gone with 57. Everyone knows it's prime.

No other writers have the stature of Knuth. The motivation to proof-read here is not the monetary reward after all.

In this day and age, I'd say this is hardly an excuse. Spin up your favorite harness and let the agents sort it out. :)

Well, then don't get all snarky and dismissive of things you might not be knowledgeable about ("you" here referring to OP).

I gotta laugh at your thought process: knowing Fable 5 is a large frontier model, you're telling me that the first thing that came to your mind on seeing that model name is that it's a quantized version of Fable? As opposed to a distillation/fine-tuning on Fable responses?

With tap-to-pay, you can store multiple cards in your digital wallet, and you don't have to remember any of their PINs. You can use your fingerprint to sign transactions. I believe this makes it faster.

Is Whisper still considered SOTA for STT? Since it came out years ago, I'd have assumed there are better models by now.

Does anyone know how this course compares to the NAND2Tetris course?

Sam Altman.

Asynchronous and parallel programming are concepts I've never really learned, and admittedly scared to use, because I never really understand what the code is doing or even the right way of writing such code. Does anyone have any good resources that helped you learn this and have a good mental model of the concepts involved?

Thanks! TIL there's a class of segmentation models with the YOLO naming scheme.

YOLO is not a segmentation model.

Where can I read more about your research? Knowledge graphs interest me.

I have a beginner question - Can WebRTC be used as an alternative to sending base64-encoded images to a backend server for image processing? Is this approach recommended?

But modern browsers do have this feature, don't they? I can do this on Chrome and Firefox, at least.

Don't you mean "John" instead of "Jack"? :)

It's edging pretty close to this - multimodal LLMs can already beat early bosses in soulslike games: https://arxiv.org/html/2409.12889v2

Does it still have the "abstraction hell" issue when trying to work with it for custom, non out-of-the-box use cases?

Huh? All of their notebooks use LangChain.

Is it currently possible to reliably limit the cut-off knowledge of an LLM (either during training or inference)? An interesting experiment would be to feed an LLM mathematical knowledge only up to the year of proving a theorem, and then see if it can actually come up with the novel techniques used in the proof. For example, having only access to papers prior to 1993, can an LLM come up with Wiles' proof of FLT?

I don't see how the authorship by Christopher Manning shifts favour towards the other paper; this paper has Antonio Torralba as a co-author, who's also one of the big shots in AI.

Manjul Bhargava is not Indian.

I believe the term in research literature for this is "Dynamic Video Synopsis". Check this CVPR 2006 paper for instance: https://www.cs.huji.ac.il/~peleg/papers/cvpr06-synopsis.pdf

This also reminds of how an employee single-handedly brought down UK's second oldest merchant bank at the time, by speculative trading: https://en.m.wikipedia.org/wiki/Nick_Leeson

How is it subjective? Can't terms like "replacing" and "fast" be quantified by metrics related to rates of unemployment and adoption of AI systems for tasks previously manned by humans? I'm not saying the data is readily available, but I do see a route to objectively measuring this.

One check I always like to do with a new Python-based framework is this - does it support the creation of a dynamic number of components at runtime, AND each having their own component state? Most frameworks I've tried support one or the other, but not both. Is there an example that demonstrates something like this in FastHTML - user provides a number n at runtime, n cards are generated, each card has its own text field which can be modified by the user without affecting the other cards' text fields.

Awesome work! Could you tell us a little about how you went about building this? What resources would you recommend for learning to build something like this?

Thanks for your work! :)

Could you tell us how Threlte compares with React-Three-Fiber in terms of feature parity and performance?

I guess one can break videos into 200-frame chunks and process them independent of each other.

And then there's this little issue of backward compatibility. :)