fwilliams

It’s crazy seeing this on the front page of HN!

I grew up in Stanstead. I have fond memories of story time as a child in the library, borrowing movies and comic books, and playing age of empires 2 with my best friend on the two shared computers in the front room.

There’s also a street in the town (aptly named Canusa st.) which is half in the US and half in Canada. Interestingly, the houses on one side have flags reminding you where you are, while there are no flags on the other. Figuring out which side is left as an exersize to the reader ;)

Tried this on chrome and it's pretty awesome!

Unfortunately it doesn't work on Firefox on Ubuntu 20.04 with an NVIDIA GTX 3090Ti. :(

Then who is "they" in this situation? You need a citation!

If you look at the plagiarized language in the article, it seems as if the BM paper authors are claiming contributions (emphasis mine). Credit is a major currency in research, and it's important to give it where it is due. If someone did this with one of my papers, I'd be quite upset.

For example (Emphasis mine):

> The risks of data memorization, for example, the ability to extract sensitive data such as valid phone numbers and IRC usernames, are highlighted by Carlini et al. [41]. While their paper identifies 604 samples that GPT-2 emitted from its training set, we show that over 1 of the data most models emit is memorized training data. In computer vision, memorization of training data has been studied from various angles for both discriminative and generative models Deduplicating training data does not hurt perplexity: models trained on deduplicated datasets have no worse perplexity compared to baseline models trained on the original datasets. In some cases, deduplication reduces perplexity by up to 10%. Further, because recent LMs are typically limited to training for just a few epochs

I want to echo the other comments here that low expense ratio (<0.25%) funds from Vanguard, Fidelity, Schwab, etc... are all great stable investments.

My time horizon is longer than 5 years, and I buy broad market index funds split up as follows: 55% US large cap (e.g. VIIIX, VTSAX, SWTSX), 15% US mid cap (e.g. VMCPX), 10% US small cap (e.g. VSCPX), and 20% international (e.g. VTSNX, SWISX, VXUS).

I also highly recommend dollar cost averaging. i.e. buying a fixed amount of your portfolio at fixed periods. I have my bank do this automatically every 2 weeks. The benefit of dollar cost averaging is (1) it takes the emotion out of investing, and (2) over a long time window, more of your assets will be purchased at a low prices than high prices (because you're buying a fixed dollar amount of assets every N days, fewer you will buy fewer assets when prices are high and more assets when prices are low).