racketracer

Why would it change by year? I get it could happen by company if some companies are much more secretive than others but not sure why it would change year over year.

Most big tech companies like Google, Meta, Amazon comprise like 80 to 90% of all the tech jobs so it's still representative of the big names that I think everyone knows

Yeah he's definitely not making directional calls but alerting everyone towards what companies will eventually benefit from favorable policy I think.

What is LLM poisoning? You're saying if I create a prompt that says "Classify this comment if it's XYZ or asking for ABC" that the LLM will just not do it correctly because it's trained on Reddit?

Pretty common artifact that take-home challenges are being more widespread now that the labor pool is oversupplied with tech talent looking for jobs. Companies need new ways to filter for candidates that are willing to do whatever it takes and work the hardest. The easiest way to do so is give them a "three hour" take-home assignment and see if they are willing to do it.

I think it's very clear that her tickets were worth much more than $1000 - especially when 15 million people competed for tickets for only 1.5 million fans.

It's much easier to just resell

If you believe that fans that put in time are more deserving than fans that pay then this is correct.

Mine is 275/mo for Kaiser at a high deductible but still gives me the amount of coverage I basically used when I was employed (Physical + maybe one additional visit per year). Single person, 26, no kids.

Raising money in the bubble doesn’t do anything if you can’t liquidate from the company with good terms and you’re paid a startup founders salary right?

What exactly happens when there is a bubble in the private markets? And what happens when it crashes? Does it affect the public markets in anyway?

In other words, if I believe there's a huge bubble in the private valuations of unicorns likewise proven by companies like Wag or WeWork, will it A: Affect my 401K and mutual funds I have in Vanguard and B: Is there anything I can do to short it?

Savage AF

I quit my job at a growing unicorn startup this month. It was my third tech job in an IC role and after working for four years out of college I felt just like you did. Completely bored going into work each day but making so much money for my hourly work output it felt too trapped to quit.

But I did eventually because the decision to trade time for money felt worth it. I felt that if you don't give yourself a break to try something besides big tech work it's hard to do so again at a later point in your life with a mortgage, kids, etc...

Now I'm surfing every morning, running a lifestyle business (https://www.interviewquery.com), and hanging out with friends.

Interesting. Pretty standard concept and bloated market for software engineering that’s not too common in data science right now. There’s also not really a standardized data scientist curriculum at this point so it’d be interesting if the market is big enough for it to take off.

That in itself is another Twitter bot. Find all hotels 100 feet away and send them mentions via Twitter

Is no one talking about how Jessica Alba is a founder at a 1.7 billion dollar start-up?!?!

Is there a data source link? Can't find it anywhere and I'm just jumping from article to article when it highlights their data source -_-

This is cool! I'm wondering how did you pull the data from glassdoor btw such as company rating and reviews? I don't think they have an API and they have some pretty rough anti scraping protections.

I scraped it probably at least 50 times and nothing has happened. I heard that craigslist only blocks IPs that direct a lot of traffic toward their sites like Padmapper did.

I think that a really cool feature, that I am not sure if it has been implemented or not, is a date package that can do a lot of splicing. If I wanted to know the exact day of the week, sunset time or dusk time, or isolate specific hours without tons of tedious work in Pandas. It would probably help out with normalizing population density such as downtown when not in the working hours but maybe on weekends.

Pun completely intended