I noticed that Clawdbot’s initial acolytes seemed to skew towards solo founders and hustler/grifter types. The Mac minis were likely to spam leads over iMessage. The single top downloaded skill was for Twitter. The fastest way to monetize an openclaw agent is by spamming fake social proof for your product (including for openclaw itself).
Analyst visits his lumberjack cousin one Christmas at his cabin. Notices the cousin puts an amount of fire in the fireplace, which is correlated with the outside temperature, while the inside temperature remains constant (uncorrelated with firewood or outdoor temperature). Analyst wonders what his cousin is wasting all his wood for.
That's extremely pertinent information, why didn't you say so?
An MS probably doesn't have that much more of a causal effect on your ability to do good ML work, as opposed to an equivalent amount of diligent self-directed study, which is what I assumed you were considering. But *the hiring market is dumb*, hence my spiel about social signals.
So now I'm less confident about the hiatus. I still don't think it's a good idea, but certainly not as terrible, and I think the HN consensus would be slightly in favor of it.
If you haven't already, consider posting this question to teamblind. Yes it's an incredibly toxic community, but it attracts people ruthlessly interested in maximizing their compensation. HN is biased towards entrepreneurship.
This sounds like a bad idea. You are very smart to have asked before proceeding.
I work as an MLE at a growth-stage startup with ~20 MLE/MLS folks. I was unemployed for 6 months before getting this job with 4YOE as an MLE and DS. There are too many qualified candidates.
ML research is out of the question. Most of the people who get to do ML research have PhDs, if not the only people. This seems like a racket but it exists for a good reason. It's hard for employers to evaluate the quality of MLS candidates through an interview, they don't know what to ask him. And if they've hired one, it's hard to know whether to fire him, things rarely pan out in research. The whole time, they have to trust this dweeb to run experiments burning tons of $$$ in compute! Employers are wise to be risk-averse, and to defer to costly social signals.
If you're going to take yourself off the job market for a long time, you had better at least get some kind of legible social signal out of it, like a master's degree. Almost all of the MLEs I work with have at least an MS in a relevant subject, the rest have PhDs.
I got a disappointing score on mensa norway[1] and boy, that made a lot of things suddenly click for me. I have yet to exploit this information for my benefit, as far as I'm aware.
I think this concept is called an information hazard[2][3]
In this video from June, George Hotz says to go with "3090s over 4090s. 3090s have NVLink... 4090s are $1600 and 3090s are 750. RAM bandwidth is about the same." Has he changed his recommendations since then?