Another problem is those career arcs are so long, where in something like tech or consulting, if you stick with it for 5-8 years you historically have a lot of seniority over new hires.
1,298 karma · joined April 16, 2012
Another problem is those career arcs are so long, where in something like tech or consulting, if you stick with it for 5-8 years you historically have a lot of seniority over new hires.
I did rediscover the eye doctor recently, and the tech and overall experience is much better than when I was a teen.
'Doom' to me means that any career crashes, we are controlled, everything is hacked, society stops functioning. Yet every part of my day today (except for coding) was done entirely by people.
Finally I think it's easy to make a simple model that everyone has a simple balance sheet, and that people are more expensive so they will all get cut. But the same argument could be made for all US jobs being outsourced, and all in-person engineers, lawyers, and doctors to be rubber stamps for overseas work.
Part of the issue is it's unclear what long covid is, if it's the same thing as chronic fatigue syndrome, and who even knows enough about this to be worth listening to
> On the evening of our arrival at Muka I observed what appeared like a display of Aurora Borealis, though I could hardly believe that this was possible at a point a little south of the equator.
2015 story: https://www.wired.com/2015/02/magic-the-startup/
Thread seeking a follow-up in 2022: https://news.ycombinator.com/item?id=34148402
Does OpenAI have a policy of not claiming math prizes like this, or is this them trying to avoid any concerns (right or wrong, I'm sure we will hear more in the future) about how they got there?
I can only think of it being a 'low-background steel' situation where they want to locate original, non-digitized text for validation or knowledge bases.
This has a negative effect on humans doing their work with or without LLMs: curl shut down their bounty program, and GitHub just announced they're "restructuring" theirs. The author of this post also makes a case that HackerOne hasn't been honest about LLM training and use, either to hackers or to their own staff.
In 2021, I talked to a quantum startup and all indications were that the feedback was "overall extremely positive", and the final step would be talking to the CTO or CEO. For some reason HR could not get that meeting scheduled for two weeks, before telling me I didn't get the job. This seemed like a communication thing, but a few years later the whole company shut down, so I guess I dodged a bullet and/or they changed their mind about hiring.
Some of the other Claude-isms (quickly googling, especially 'gate' and 'canonical') I feel the issue is they sound right, but aren't specific enough to why we are doing something.
Fun fact: during their time Dayton had the most patents per capita of anywhere in the US.
In middle school I remember being assigned a book report that would include the author's biography. I'd just finished a book (The Gammage Cup) and of course my local library did not have any information about the author. So in that situation it was assumed that you would learn traditional research methods, but also that you would just pick a classic book where the information was readily available.