meeka
Joined 6 years ago
Joined 6 years ago
Also, I wonder how they decide what code is worth training on. Because a lot of code is written in poor style/has technical debt, it might be the case that these LLMs in the long run lead to an increase in the technical debt in our society. Plus, eventually, and this might already be happening, the LLM are going to end up training on their own outputs, so that could lead to self immolation by the model. I am not certain RLHF completely resolves this issue.
Funnily he was quite disappointed at the fruit situation coming from a tropical country, but that was more about freshness than quantity.
That's not how it works
Sometimes you have to grind and get good enough to have fun.
Of course this depends on how the supply demand curve looks like for their specific business.
https://nothingventured.rocks/what-startups-can-learn-from-t...
Being seen in meeting rooms filled with people, talking to them, and pointing to things on a powerpoint presentation can give other more senior managers (who determine their position and compensation) the aura that they are hard at work and making things happen.
This of course is not very strong reasoning.
If they can talk about you for a couple of minutes and then email their boss a link to a well written blog post, you derisk the act of referring you. You allow the boss to sell himself by providing the material, so your friend isn't on the hook as badly.
Though one (perhaps nit-picky) point I'd like to make is that these dictators are not dumb. They are incredibly intelligent. They themselves are probably not hackers, but they understand people and power. They are going do what they can to get what they want. We can't ignore the factor they play in creating these problems, and we need to take it just as seriously as we would a technical security exploit.
I think principles are great, but like you yourself have said, they require context. I would especially be a valuable resource for junior and mid career engineers, of which I am one.
Historically people consumed much more salt, and don't give me the "people used to die when they were 35" nonsense. There is a big difference between being kicked by a horse vs dying of a stroke.
I was wondering if this would also be supported for no-SQL databases like Mongo?
Also a little sandbox to play with it would be nice. For example, you could have a small table of weather data from a random city, and people could then query something like "How many days in 2022 was the daily high for Los Angeles above 100 degrees?" Of course, this might be a lot of work as you would have to have it run on the backend and then return the results to the frontend.