Viewing profile — unixpickle

I think we are missing the bigger point here. Licensing only matters on things that take real effort or money to produce. Who will care about licenses on software when software is …

The `try_roots` example here is actually a _counterexample_ to the author's main argument. They explicitly ignore the "negative discriminant" case. What happens if we consider it? …

To optimize for fast nearest neighbors, I chose 256 dims. Notably, this actually hurt some of the pre-training classification losses pretty severely compared to 2k dims, so it defi…

The "shop for random products" direction was actually fun for me too. Reminds me of amazon.com/stream a bit.

Probably the same complaint as https://news.ycombinator.com/item?id=43375415

You definitely highlighted a shortcoming of the feature vector model in this case. Indeed it's quite a small model trained on a single Mac for about a week, so it's not very "smart…

I think it would be a useful feature. For the sake of being a fun project, I didn't use CLIP because I only wanted to use models that I trained myself on a single Mac. However, to …

Yup, it's a small model I trained on my Mac mini! The model itself just classifies product attributes like keywords, price, retailer, etc. The features it learns are then used as e…

Ideally pose and lighting wouldn't matter as much as it currently does. I think using a better model to produce feature vectors could achieve this, or perhaps even finetuning the f…

I made this website with my wife in mind; it makes it possible to browse for similar fashion products over many different retailers at once. The backend is written in Swift, and is…

This should just be called "why VPNs are useful", i think?

This seems to be pretty much exactly a standard Bayesian deep learning approach, albeit with a heavily engineered architecture.

Wait what? Who actually calls trainable params "hyperparameters"? Nobody at OpenAI does, as far as I know.

> I asked Nicole Avena, a professor of neuroscience at Mount Sinai who studies sugar addiction, if she believed it could be possible for food companies to engineer, intentionally o…

These lines from the diff linked above are the fix: - /\* Log error and exit. \*/ - sigdie("Timeout before authentication for %s port %d", - ssh_remote_ipaddr(the_active_state), - …

Before one epoch, both the train and eval curves look pretty much identical. Quite curious

OP here. Interesting, I had not researched the used car market enough to know about the price inflation. Can you think of any other sites that have more realistic prices?

These are good ideas! It should be possible to test how photographic quality correlates with price, though one complication is that I train with data augmentation (a commonly used …

OP here. Yeah, it's quite odd that the median price prediction doesn't fall into the most likely bucket, even when that bucket has more than a 50% confidence. I'm not sure how to i…

Before writing this post, I asked chatgpt for examples of positive transfer from auxiliary losses in the literature. It pointed me to this paper: https://arxiv.org/abs/1705.07115

It's definitely not just a regularizer in my case, because the gap appears even before a single epoch. The gap does also appear for two very different model architectures. One expl…

Apparently my router's built-in DNS server doesn't like the domain name `ai.` or `ai`. Switching to Google's fixes the issue for me.

> We can inject targeted taps continuously with a standard deviation of as low as 14.6 x 19.2 pixels from the target area, a delay of less than 0.5s and a distance of up to 40mm Se…