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Were you able to find good candidates from your post eventually?


Not yet. It has been a week and I have 500+ resumes sitting in the inbox. Not fun.


Just curious, do you use LLMs in your reviewing process? e.g. Summarization, prioritization, etc.


Thinking about it. Might build my own tool.


Good luck! Sounds terrible


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.


> OpenAI is the fastest growing startup by revenue, ever.

No it's not. Facebook hit $2B in Revenue in late 2010 - early 2011, ~5 years after its founding.

https://dazeinfo.com/2018/11/14/facebook-revenue-and-net-inc...


Finding one example of him being wrong still kinda supports his point, don't you think?


No, it makes me think there are more. ", ever." Suggests you actually know the space of things you're talking about.


Especially when that example is Facebook!


MySpace had $1.5B in sales in 2009.


Facebook sold 2b of ads this week.


Coinbase was founded in 2013 and hit $1B in revenue in 2019 iirc


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.


What's your use case?


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.


Yes on Seattle. We also have much more expensive Ubers/Lyfts than SF.


Ginormous market, 10x better product, no competition is currently close.

Plus although they have the capital cost of owning the cars they don't have the COGS of paying the drivers so presumably much higher margin per ride.


You’re right that Tesla’s product is so far ahead that it can’t really be called competition.


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.


Pedantically, literally everyone can be a founder.

At this moment, you can decide that you are starting a company. You are now a founder.

(This is why Founder is historically an unprestigious job that smells a lot like Unemployed, though the startup hype cycle of the last 15 years changed that.)


We had a great experience doing this in a much less hardcore way through this company: https://withtheseringshandmade.com/

I'd recommend to anyone who is interested but does not have the skills to make a ring on your own. Great weekend trip from Seattle too.


We did something like that as well. Cost was comparable to just buying rings (most of that was the gold, anyway). We started with a blank strip of metal with the correct cross-section, which was first bent, then soldered together, then sized appropriately and polished. Was a fun day.


How much did you end up paying?


I don't remember exactly, but somewhere in the neighborhood of $1,000.


I think the only way to avoid race to the bottom is to offer relatively high end services, competing on price is a recipe for disaster.


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