Taking a guess here but, I think what they're saying is, if most investors have gone all-in on AI, and the bubble pops, who will be investing in the next big thing? What investors will still have money to invest?
These kind of investors are rarely really “all in.” As in they literally have their last dollar invested in a risky endeavor. They’ll be fine. They’ll still be rich, and they’ll still be looking for more pipe dreams to throw their gobs of money at.
> Remember how in October and in March I told you that vibe coding — in the sense of amateurs using large language models to write code to “build products that would have previously required teams of engineers”
I don't think there's an agreed upon definition for what vibe coding is - but certainly the "amateur" portion of this sentence is _not_ a requirement to be vibe coding. Vibe coding can be done with success by skilled developers with existing experience.
But sure, change the goal posts for your catchy clickbait article title.
> But I assume the data cleaning process removes such content before pretraining? ;)
I didn't check what you're referring to but yes, the major providers likely have state of the art classifiers for censoring and filtering such content.
And when that doesn't work, they can RLHF the behavior from occurring.
You're trying to make some claim about garbage in/garbage out, but if there's even a tiny moat - it's in the filtering of these datasets and the purchasing of licenses to use other larger sources of data that (unlike Common Crawl) _aren't_ freely available for competition and open source movements to use.
> According to a recent Wired investigation, AI start-ups in Silicon Valley have begun to adopt 996-style work schedules.
The Wired article seems to be mostly focused on situations where employees are compensated for working this lifestyle. Aside from that - they discuss how AI _founders_ are doing this to keep up with things. The former surprises me (a little - it wouldn't surprise me to see companies doing this _somewhere_ in the US pre-ChatGPT). The latter doesn't really surprise me at all. Typical founder hustle culture.
A better title would be AI is making startup founders hustle harder [and they are trying to normalize this workload across their (small but growing) companies). NOT "AI Is Making [All Of] Us Work More".
OP didn’t think to include this very important fine print. Thanks OP!
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