Unless you're hiring for rare roles that require niche skills, it's unlikely that you'll get people that are in overlapping networks. If you do, you might be encountering the problem where Company A has a bunch of people that used to work at Company B. Now Company A is just an "old boys club" from Company B and is biased towards their old colleagues.
If you ask for single referrals, how do you combat the problem of people just recommended people based on friendships and not actually work quality?
Imagine you have a coin-flipping tournament with a large number of people - perhaps even billions. 2 people face off in rounds and the winner advances. By the end someone will have won all their rounds. Is this person skilled or lucky?
I don't understand why tech companies are so reluctant to go back to in-person interviews. This used to be the norm before COVID and it would solve most of these issues. It's also ironic that the authors are from Microsoft/Amazon and Meta which have very structured interviews that tend to be about just hitting the right keywords during the interview itself. None of these places even really care about what you've done previously, for better or worse.
He's basically said as much directly. I think it was in his book that he would like to get back to research at some point in the future. If he had things his way, AI would still not be public and would be used for advancing science only. Then there'd be no competitive interests pulling them into consumer products.
R&D is hit or miss. And a lot will miss. It's really no different from the VC model where 90% of their startups will fail but the 10% that succeed will make up for the rest.
Pointing out a few examples that didn't go anywhere is a meaningless argument. You need to look at it holistically.
If you're being treated poorly and it's causing you stress, leave.
It's going to take time to earn trust from peers and your manager to start getting more meatier work. If you're early career, I think 2 years is a good guideline. Many places hiring someone for their second job will expect you to be leaving your first job around 2-ish years. 2 years gives you the chance to take on larger projects and see the results of your work and get feedback about things you've pushed to production.
You probably shouldn't stay at your first job more than 3 or 4 years. The second job change is the hardest. It's when you realize that different companies do and value things differently. Staying too long at your first job will make it tougher to adjust. It's also good to get exposure to new ways of working while you're still agile enough to soak it up.
If you've left more than 2 or 3 jobs within 2 years it starts to look like a red flag.
You can only tell which part of the S-Curve you're on in retrospect. It's not something you can tell while you're experiencing it. Both scenarios of AI maxing out or continuing to improve are both likely.
I think this is it. I'm a general software engineer and would like to switch to being in this field but something like this is just way over my head. It sounds like a great innovation but I'm lacking the domain knowledge to fully understand it. I've spent several months going through online courses to basically get to a Biology 101 understanding. Getting to the level of understanding something like this seems like it would be a multi-year effort and I don't really know what's the best way to proceed.
It's pretty easy to lose 5 pounds. You need a total caloric deficit of about 17500 kcal over a certain period of time. There are plenty of caloric counting apps that are a few dollars/per month. Why would this be worth $100?
You're saying though that it can be done in one week without eating any protein and somehow you'll maintain muscle mass from taking a supplement of acai berry. Most of that weight loss is going to be water weight and glycogen, not fat. It seems dubious. All weight loss plans basically end up being "eat less calories that your body uses". There's no way around that.
You say the meal plan is 1800 calories. If you have a petite woman doing this, her caloric outake may be around that. Consuming 1800 calories for her is not going to do anything.
That was a time when the latest arms technology could be obtained both by normal citizens and the government. Do you think that today an armed population could repel a determined federal government?
Have you used AI lately? Yes, this was the case a year ago but I've been using Claude daily for the past month and the quality is on par with what a senior engineer would be producing - often times better as it's more thorough and can think through all logical edge cases much more reliably. I do review all the code it writes. There are some suggestions I have but I'd say overall, 99% of it is solid.