1. replacing junior engineers, with AI ofcourse breaks the talent pipeline. Seniors will retire one day, who is going to replace them? Are we taking the bet, that we wont need any engineer at that time? sounds dangerous.
2. Junior engineer's heavy reliance on AI tools is a problem in itself. AI tools learn from existing code that is written by senior engineers. Too much use of AI by junior engineers will result in deterioration of engineering skills. It will eventually result in AI learning from AI generated code. This is true for most other content as well, as more and more content on internet is AI generated.
Google was late to search, late to smartphones, late to internet email. I'm having a hard time thinking of any of their large markets where they were a first mover, maybe YouTube-ish, widespread user uploaded internet video wasn't meaningfully available before the rise of YouTube.
On topic, Waymo is clearly a first mover in self-driving, having the first legal commercial services.
But, being the first mover is usually more of a disadvantage than an advantage, IMHO.
I'm struggling to think of a single product where the first mover won. At best they are able to hold some market share like Dropbox or Slack, but eventually big tech moves in and crushes them by just offering the same thing but cheaper and more integrated.
That is simply not true. I know people who can have millions in their cash account.
Also sometimes you need to liquidate your money and put it in cash account, for example down payment for an upcoming home purchase.
I enabled Alexa+ few days ago on my devices. Everyone in our home immediately disliked the new Alexa. There were some fairly basic things that Alexa+ cannot do, and Alexa was able to do. Some fairly simple question/answering tasks, and questoins about status of an order.
it is a good place for new graduates to solve some challenging engineering problems at scale and learn. Most of the employees do not last more than 2 years. People who stick for longer, admire that type of culture and are made for amazon. Their stock has also performed extremely well.
Leaving aside the pendatic "you can't be a multiple smaller than another object", 1/5 the valuation of the 5th most valuable company in the world is probably big enough to qualify you as a big company
Market cap doesn't really feel like a good metric of anything other than what it would take to buy a company out. DuPont has a market cap of 30ish billion and 3M around 80B, and both are both larger and frankly more important than probably even Google.
Yeah, the fact that $2.5 trillion of actual investor money chose Google (Alphabet) means very little: what really matters is the opinions of anonymous commenters on HN (especially opinions that start with "doesn't really feel like")
People are so careful when writing anonymous HN comments and so careless in choosing where to invest their own money and the money of funds of which they are the professional manager
> the fact that $2.5 trillion of actual investor money chose Google
Of course, a lot of money invested in Google was invested at a much lower price; if everyone sold all at once you'd have a hard time finding 2.5T of new money to buy all those shares. We could argue about if "not selling" is the same as "choosing again at the new price" every day... but... Google's not the interesting case here anyway.
For a young company in a hot industry like OpenAI total market cap is even less relevant since so much of the company simply isn't liquid anyway and the numbers come from far fewer instances of purchases than for an established public one.
Investors look at how much money is already invested in a company in deciding whether to invest. I.e., investors pay close attention to market cap.
If Google's market cap were $25 trillion, practically nobody would buy Google stock (and practically everyone who already held the stock would immediately sell) because most investors do not believe that Google can ever pay enough dividends or buy back enough stock to justify such a high valuation.
A company's market cap is a collective estimate of how much money the company will to return to investors in the future. When the company is publicly-traded in an open informational regime such as the US, this collective estimate is usually quite "accurate" in the sense that it is very difficult for any single analyst or single team of analysts to improve on the estimate.
An investor can make a big bet on a small company, yes, but the market cap of a company is more than just an indication of how much money has been bet on the company: it also mean that every investor (big or small) who still holds the stock believes that the expected amount of money that company will return to shareholders exceeds the market cap: if there were a holder of Google stock that did not believe that, he would convert the shares into treasury bills or cash in the bank.
2. Junior engineer's heavy reliance on AI tools is a problem in itself. AI tools learn from existing code that is written by senior engineers. Too much use of AI by junior engineers will result in deterioration of engineering skills. It will eventually result in AI learning from AI generated code. This is true for most other content as well, as more and more content on internet is AI generated.
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