But also, imo, Chrome is way more entrenched that LLM agents. I'm sure people will be happy with chromium being containerized this way.

Indeed shows an active listing in SF for Greyhound for the same amount as Seattle. Greyhound appears to have a single national salary scrolling through different cities. https://www.indeed.com/m/viewjob?jk=ad2e68b167688669

> Since our landing page is isolated from core product code, the risk was minimal.

The real question to ask is why your landing page so complex, it is a very standard landing page with sign-ups, pretty graphics, and links to the main bits of the website and not anything connected to a demo instance of your product or anything truly interactable.

Also, you claim this avoided you having to hire another engineer but you then reference human feedback catching the LLM garbage being generated in the repo. Sounds like the appropriate credit is shared between yourself, the LLM, and especially the developer who shepherded this behind the scenes.

Also the median weekly wage in the US is currently $1196 a week (https://www.bls.gov/news.release/pdf/wkyeng.pdf)

Seattle is currently paying bus drivers $31.39 an hour, 40x = $1256 (https://kingcounty.gov/en/dept/metro/about/careers/drive-for...). And I'm sure the pay is less in less affluent/dense US cities.

It's not exactly apples to apples because the bls figure is nationwide and doesn't include healthcare benefits, and king county metro may have better than average healthcare, but at least ballparking this: No, public bus drivers are not paid "well above" the median wage

Edit: I found this listing on indeed for greyhound bus drivers (the closest comparison I could think of in the private sector) and starting rate is $28-$31 in Seattle (https://www.indeed.com/m/viewjob?jk=2516c81006044ec8).

Well your perfectionism needs to be pointed towards this line. If you get truly large numbers of users this will either slow down token checking directly or your process for removing ancient expired tokens (I'm assuming there is such a process...) much slower and more problematic.

Applying all of this to LLMs has felt similar.

I wasn't sanctimonious to you, don't be so to me please.

> you would genuinely need to

> look at the full dataset that

> team collected to draw any

> meaningful conclusion here

I compared notes with a couple friends on other teams and it was the same for each one. Yes it's anecdotes but when the same exact people that are producing/integrating the service are also grading its success AND combine this very argument while hiding any data that could be used against them, I know I am dealing with people who will not tell the truth about what the data actually says.

My report was entirely unacknowledged along with other reports that had negative findings. The team in charge published a self-report about the success rate and claimed over 90% perfect results.

About a year later, upper management changed to this style of hard requiring LLM usage. To the point of associating LLM api calls from your intellij instance with the git branch you were on and requiring 50% llm usage on a per-pr basis otherwise you would be pip-ed.

This is abusive behavior aimed at generating a positive response the c suite can give to the board.

If the father is really into the tech side of it (as opposed to pure laziness), I'd ask him for the prompts alongside the generated text and just ignore the output. The prompts are the writing that is meant for the original commentor, and it is well worth it to take the tact of not judging those by their writing quality independently.

But I don't say this to belittle the author, I just mean funny in how people are all grasping around the same elephant (https://en.m.wikipedia.org/wiki/Blind_men_and_an_elephant). I don't claim to have special insight here, just noticing that this is happening across many diverse professions. My personal theory is that we reached the point of diminishing returns of what can be built and effectuated via software or people management and at some point an economy can't bear the dead weight of people pulling down six figure salaries by moving some javascript or PowerPoint slides around, while the base of the economy (industry, farming, energy production, transportation) dies from lack of investment.

Seattle has been a mess of last minute bus stop changes that aren't propagated to Google maps before you find yourself missing your bus. And even checking the metro page directly sometimes isn't up to date with sudden construction closures

But having said that, I do see the wisdom in the comments that the costs in running a 5 week course/workshop are low and the value in having a view into what people are making outside of the openAI bubble is a decent return all its own.

To the lurkers: If you live in a big enough city, look for local nexuses of people doing good social work and volunteer. Social media is too divorced from reality and the satisfaction of helping improve your community should naturally lead you into the finding cool people in your area. Tool libraries, food kitchens, park cleanup crews, cycling groups, cultural preservation groups, maker spaces, church groups if applicable/compatible, stuff like this. And try to have a calm, humble, accepting attitude.