My last car had a key fob that could do that up to about a half mile away; cell signal irrelevant. It's just a 2-way remote start system. I miss it. The fob even reported the cab temperature.

Someone on another Amazon related thread mentioned that 50% leave after 2 years and 80% leave after 4.

If you do the math on their TC to see how it actually works out from month to month, it makes sense. Unless you get more RSU's, you take a huge hit in pay, unless you weren't cashing in on them to make ends meet.

That's accounting for stock growth.

With the flat share price, there's no 4 year cliff anymore...

Perhaps tell them the story of the 10x carpenter.

Obviously, the one who uses the most wood wins! ;) If told right, they should easily figure out why LoC is a horrible metric.

Or airplane builder…

Even without rDNS, they're almost certain to know of at least one DNS name that goes with the IP address you're connecting to. Even if not, they can label/categorize/group it by ISP and/or approximate location.

I used to wonder the same about Chrome. Try using a Chromebook with less than 4GiB RAM. You can handle 2 simultaneous tabs/apps---if you choose them well. It's due to this behavior alone that I never consider Chromebooks; by the time you find one with enough RAM to handle Chrome, you're in the price range of a "real" laptop.

Build an ecosystem, not an experiment.

Build an ecosystem, not a science project.

Build an ecosystem, not a microbiome.

Seems like it should be. That's pretty much the status quo with how Azure Synapse works. You put your Parquet file out on storage, and query it (via Spark or Pandas).

Remember back in the day when we used to use the word "algorithm", instead of "AI"?

Most AI in reality:

  switch(i) {
  case x:
    break;
  case y:
    break;
  default:
  }

I was going to make a joke about mimicking that behaviour using a perceptron with certain weights but then I realized there's no side effect so they can all be zero. Perfect.

I think it's fair to say the problem space AI operates in is one of case statements and not general rationalization. The magic of "AI" is in working with subjective data to identify the best case to use.

I think I've seen this AI on GitHub's status page!

AI/ML is so abused these days, we stopped using them entirely while pitching our Startup even though we wrote two home-grown algorithms already. It has become an addendum, "We also wrote our own Machine Learning Algorithm and we train them against 1-million acres of high resolution satellite data."

It’s kind of absurd that a number of the algorithms being used are remarkably simple and are being compared to sentient consciousness by people with minimal academic background and datasets that don’t contain the value for the proposed solution.

weird, no one is complaining about your statement, that AI is not sentient!

Reminds me of this short comedy bit from Richard Jeni ("Stop eating, you fat bastard"): https://youtu.be/V7GnOyd_z1w

Those are similar to my own thoughts. I like also having them talk about their favorite recent achievements.

> I can quickly train a person to have knowledge in some domain,

This part I have a little bit of trouble with. If you have a trivial domain, sure. In my experience domain knowledge takes a while to truly get your head wrapped around. But I expect that's why there's always other things that people do in an interview.