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The requirements are in the plain english doc

This is because its difficult to decouple the code from the requirements. And the full requirements are never contained within a doc. So you need an engineer to look at the code to see how its done. This is going to change.

Someone non-technical can do the requirements gathering.

The price on this will plummet over the next few years, the economic benefits are too large

Sometimes I am jealous of these people. They arent doing the corporate grind, and they arent even really doing the startup grind. They are shilling stuff on the internet and avoiding spending their lives working. I know a few, they live great, though frugal lives. I go to my job at prestigious big Co and often wonder who the smart one is, me or them

Stock based compensation is a huge drag on their expenses, to the degree that it has hurt their future. "Lyft had some of the best and smartest engineers", whats the bench mark for this? Good looking syntax in a clean code base isnt a top engineer. Delivering business value through technology is

Lyft was paying engineers 300-450k a year, sometimes with just 2-4 years of experience. This was true even pre 2020. The interviews were just leetcode hards, with an instant reject on not getting the problem right. I feel like a parrot repeating the same thing, but none of these companies hired the talent they thought they were hiring.

EDIT:

For reference I work at a company that requires leetcode medium/hard perfection and am appalled at the money we pay for the engineers relative to the value they bring

One more point: Startups are confused about the role engineers play. A completely divorced product management and engineering workforce will kill new ideas. Engineers actually building the product have insights into what else can be built that product does not. By hiring engineers with zero product sense and treating them like robots, you get no innovation. This doesnt matter at a behemoth like amazon or google, but it does at a smaller company. Clean syntax != good engineer

I think the fact that there are no other systems publicly available that are comparable to GPT-4 (and I dont think Bard is as good), points to innovation they havent released

I heard Ilya wasnt behind the big innnovations at OpenAI. It was lesser known scientists

What a glorious downfall of arrogance and smug outdated systems

Its so you can try to build a business with > 1B valuation.

Natural language :)

CDK/Pulumi are going to be used by LLMs to spin up website infra exactly to spec. Devs will fill in the business logic interfaces. Going to be wild

If you want to be a software engineer, and you arent coding, then yeah its a bad job. Dont let other people convince you otherwise.

I can tell you that we have applied teams working on open problems, which can be solved out of the box with ChatGPT. Its a huge deal

I dont work at Google, I think other FAANGS underinvested in this area as they didnt think it was promising. But I will admit, I am suspicious that Google is incompetent. Probably they can come back given how much money they will be forced to throw at it. But Bard is clearly behind and I dont believe their "abundance of caution" arguments for why Bard cant even code.

I work on a research team in FAANG. What it really feels like is one company made everyone else obsolete. And we are going to work working on NLP models that underperform ChatGPT by a huge margin. Twiddling my thumbs and keeping quiet while no one wants to recognize the elephant in the room.

Also, there is no "working in AI", a few thousand people are doing real AI at most. The rest of us are calling an API.

People should just wear microphones their whole lives, and then dump the audio into an LLM when they die. Then their descendants can talk to them hundreds of years after theyre gone

The incumbents sense a shift in the power structure that they cant control

My bet is that there is a bidirectional relationship between medication and mental health. Meaning, teenagers are over medicated which is messing with their heads. Some of them need the medicine, others are unknowingly suffering under some amphetamine, antidepressant, anti-anxiety etc.

Would love to see mental health numbers of teenagers that:

1. Havent been medicated

    - I understand this biases the sample

2. Exercise

Ive seen this even at top software companies

Once trained, incremental inference costs are very cheap. Instead, everyone will have access

Big Tech hasnt dominated anything. They got trounced by a 400 person startup. Alexa, Google Search, FB research all spend untold money on ML systems. Neither is releasing game changing products anywhere close to OpenAI.

Agreed and its a shame you are getting downvoted

I still cant believe google thought they could ruin the internet like that and continue to dominate search

OpenAI is crushing it in terms of product strategy

All these research science bureaucrats at Big Tech could have released LLM models or tried to develop what OpenAI did. But none of them did. We should applaud OpenAI for the innovation and let them do as they please.

Thats another misconception, there were mortgage backed securities and VC loans in their portfolio. The idea that this was purely about treasuries is another attempt at passing off the buck.

I interviewed 50+ candidates at a FAANG and never saw a hire

Gambles with customer funds -> looses -> passes losses to be bailed out through opaque means. This is really not that different than FTX, except it was legal. The current argument is they were incompetent and fell into some bad bets, this is the same argument Sam Bankman Fried tried to argue. Its all a facade