Ivy League schools are notorious for inflating grades to make their graduates look smarter. It seems the biggest factor for entry is money.
Before you reply, let me be very clear: Yes, very smart people do go to Yale, and yes, people go to Yale without lots of money. A few specific instances does not negate the general case.
The causes of, and solutions to, hyperinflation are well understood [0]. Solving the problem might require a political revolution. When you have a playbook for doing that in a peaceful way, please let us know!
Is that the bar necessary to believe systemic change is possible? I'd argue it should be "any slightly more peaceful way than the existing order". Perfect the enemy of good and all that. Or am I missing something?
sure! and in many situations, a new technology or company or whatever is a kind of systemic change. For instance, right now I'm accessing this website via VPN in a place where hacker news is blocked. That's both a technological solution and a political change.
The OP comment is about how it's dystopian to seek technological/financial solutions to political problems. I think that attitude is misguided.
Investing in treasury bonds is a bet on your country's long term economic health. This is a startup, explicitly preying on people's fears in poor countries to transfer their wealth into cryptocurrency.
I mean, inference costs have decreased like 1000x in a few years. OpenAI is the fastest growing startup by revenue, ever.
How foolish do you have be to be worrying about ROI right now? The companies that are building out the datacenters produce billions per year in free cash flow. Maybe OP would prefer a dividend?
Given how close the tech is to running on consumer hardware — by which I mean normal consumers not top-end MacBooks — there's a real chance that the direct ROI is going to be exactly zero within 5 years.
I say direct, because Chrome is free to users, yet clearly has a benefit to Google worth spending on both development and advertising the browser to users, and analogous profit sources may be coming to LLMs for similar reasons — you can use it locally so long as you don't mind every third paragraph being a political message sponsored by the Turquoise Party of Tumbrige Wells.
I would definitely be worried about ROI if my main product was something my big tech competition could copy easily because they did the research that led to my product.
Exactly right. Traditional VCs come up with a thesis and then buy 20% of the company they think will be the winner who fits that thesis when they're at like $1M to 10M revenue (series A)
YC can instead get ~10% of every plausible winner they come across when they're at $0 revenue
As noted elsethread, I think that almost certainly *is* what's going on; I was explaining why it's probably a good thing from (at least many of) the companies' perspectives too.
I’m a fluent speaker in the language I am translating to, but have trouble with grammar. I write texts (email, jira tickets etc) in English or my native language and let DeepL translate. I then adapt the translation to sound less machine-y
Can't wait for them to move up to Seattle. We're basically San Francisco with slightly easier hills and more rain/occasional ice, so seems like a good candidate.
I love Tesla, I own the stock, but I don't think they can be considered comparable until they have a live autonomous taxi service that regular people can call from their phones and regularly rave about.
On one hand, Tesla could roll out a Waymo competitor in all the necessary cities in a matter of months if they wanted to. On the other hand, Waymo will cease to exist as soon as Tesla cracks their robotaxi problem.
Cool, looks like this is trained on 16 million hours of audio (500B tokens at ~.11 seconds per token).
Even the large open source TTS models (see F5 TTS, Mask GCT) are mostly trained on very small audio datasets (say 100k hours) relative to the amount of audio available on the internet, so it's cool to see an open source effort to scale up training significantly.