tbf, irobot being independent killed them. Sometimes it works well for these companies that would otherwise die. I strongly doubt cursor would survive against anthropic in 5-10 years.
I don’t think iRobot died because they were independent. I think it’s more a symptom of them stopping R&D investment because they were pushed to distribute cash.
Maybe. Search ads likely make Google more money than they pay apple. For AI, Google currently loses money. If they eventually make money via ads, then sure. Else, apple will have to pay them
Playing devil's advocate - the measure of success of welfare isn't in the budget spent on it but public outcomes. That said, it is true more taxes or expenditure aren't the panacea that the left might think it is.
"crippling recession due to defaulting" - we will just borrow more as usual. Not like our taxes are enough to fund the nation in any year (war or no war).
Why will they stop lending? The US government could ably wipe them and their entire family and replace it with a more cooperative lender. There’s no higher authority to enforce anything.
How do you deal with setbacks both in work and life, and show resilience and belief you can find a solution? Is this innate or something you worked on? Also, are there things you think are impossible for you to do?
I have a stoic mindset, I try to not care about things that are outside my sphere of influence. While the cancer was unfortunate it was out of my control. Having my YCW15 batchmate step up for me during my initial set of treatments to get me Shasqi opened my eyes that I could help create and take new medicines. It was within my sphere of influence. When I reached the end of standard of care I stepped down from the CEO role of GitLab and pushed to do this for me. While it was hard it was easier than I expected and I created companies to help other patients in the same way (maximum diagnostics and single patient IND pathway).
Philosphical treatments have got a bad rap because it is so easy for conmen to convert them into fake hope, but when properly applied they are still amazingly effective. It's just that "properly applied" is very often not profitable because all the applicable texts and practices have been quite literally known for thousands of years and are available through well known texts in the public domain.
And Sytse if you read this: beterschap en als dat niet helpt: sterkte. Cancer sucks.
If you are asking about the "micrograd" video then yes a little bit. "micrograd" is for scalars and we use tensors in the book. If you are reading the book I would recommend to first complete the series or atleast the "micrograd" video.
In the past, having to work with Indians from firms like Cognizant or HCL is pretty much torture. Instead of working with 2-3 Americans, you get stuck working with 10-20 Indians who dont know jack shit about shit.
Thankfully the company recently nuked their contracts and brought everything back on shore because of how much of a shit show dealing with those companies is lol. Literally tens of millions of dollars wasted.
Im kinda convinced that's their entire business plan. They lure these mega companies with omg "skilled labor" and having to pay them less, sign XX-XXXM contracts, 2-3 years go by and these mega corpos finally see how shit it is and just cancel them. HCL and Cognizant make money still regardless.
I have seen this myself. I have also experienced more than a few Indian colleagues who were far more critical of Indians in management than the rest of us were. I feel like there is an extra layer of dynamics that just isn't apparent if you are not accustomed to seeing it.
In a way, the people that despise Indians most are Indians themselves :) I say it in a non violent way, as a self critique and a welcome embrace of ideas outside of the Indian mold.
Pytype is used heavily inside Google so they bear the penalty likely more than you. Besides, py typing libraries is a dynamically changing landscape so it isn't anything out of the norm. Not everything is an abandoned project, and if anything Google abandons some projects well after the winners and losers are apparent eg Tensorflow.
