rednalexa

This experience is common in my circles even in the US as well as those I know in Europe. May be a bi-modal distribution where some industries are vastly underpaying while some industries are the opposite and paying well above the average. This seems to have happened in a lot of career spaces. The vast majority will be in the first group too, which is why sampling would get a result like the one in the survey?

The only issue is that it needs a good user. Just as you can work your way into good insights, you can work yourself into bad insights just as easily. Sometimes chatgpt doesn't challenge you enough unless you ask it to under specific frameworks or paradigms. It is definitely a useful tool though.

Edit: These are all problems with real therapy too though, on further reflection. It took some time to find the therapist that works well with you. That can be a form of similar bias.

Also not OP, but if you open up with any mental health positive people in your life, that's a great place to start. They may even have a recommendation which will really ease a lot of your worries going in as it largely is a personality based thing in my experience.

Also - give a call to some therapists. You can choose some arbitrary screening criteria that make you comfortable - like if you only want to talk to men because you're a man and worry about that, or if you want to find an lgbtq-oriented therapist, those types of things can be filtered. There are even faith-adjacent therapists - but I personally would be uncomfortable with that - but they exist!

Once you have a list after filtering down of 3-5 therapists, call each for a consult. During the consult, if you don't like the therapist, cross them out. After calling 3-5 you can choose the one that your gut tells you. If you can't commit even then, then flip a coin on them to be honest. If your gut tells you to go with two different ones, choose one at random and try it out.

Finally one other thing that I found surprising was even if someone marks cognitive behavioral therapy on their listing (A lot of them do!) - they may not use it in a 'tool-based' fashion. Meaning, you won't get a lot of homework.

If you are someone who needs take home work to be able to function, this could be a question you ask during your calls.

Here is an example of how it could go:

You have the criteria: 1. Must be LGBTQ positive 2. Must accept my insurance 3. Must be skills-based oriented around processing emotions

With these three, if I cannot find the information on their page, I can ask them during the consultation call something like:

1. If you don't accept insurance, can you do a super-bill so I can file a claim with my insurance? 2. Do you do skills-based learning as part of your practice They may say "no, but I do X, Y, Z" in response

Anyway, I'm not editing this down but hopefully that helps a little.

Isn’t Patagonia privately owned though?

Yeah. My worry with Fusion eventually being solved is it will make energy so abundant that we will find novel ways to waste it. Ideally it is used to solve things like our climate crisis - but who knows.

Thanks I’ll start with those! Moloch was a great one so I’ll be happy to dive into more.

Did you ever put together the reading list? Id be curious to check them out.

Absolutely. The user still needs good taste right now too - if it writes you a mission statement or something else you have still have to know whether its good or not.

I would assume that if Google is paying 10$/hour for humans to rank content, someone else is paying 11$/hour to fool it with a human generating content, clicks, etc.

Additionally, people writing bots learn just like Google learns, and start generating what appears to be legitimate interactions. Same algorithms that fit to critique between 'bot' and 'non-bot' class can be used to create bots that fall into the 'non-bot' category.

It's a losing battle - but what we get is better than we would get if they collected less data.

Thanks for sharing. That is a good strategy to try as I do often let things go either unbounded with no constraints or with too many constraints.

I like the idea: do you have any examples of it in practice?

I personally believe that the rebranding is to attract talent to work for them as Facebook had a negative brand value in tech and required a premium for hiring. This rebranding changes their narrative from a technical perspective. Will it work?

That is definitely not his LinkedIn

Is this within a global context or a local one? Liking a song in Spotify is global - Spotify then adds it to a list of liked songs.

But from my experience with Pandora, radio stations were localized. Liking a song did add it to a list somewhere, yes, but disliking a song just meant that a particular radio station on Pandora wouldn't have a song in that particular style, and other stations did not seem to be affected by this.

In other words, what you want to listen to, for me, seemed to be very contextual. And since I felt my dislikes were captured in a context (radio station), I didn't have any qualms disliking frequently using Pandora.

And my experience with Pandora for song discovery has always been much better.

Cool, I think I understand what you mean - sounds like a neat experience. I didn't know that was possible. Thanks for the explanation!

What did you replace your tab homepage with? Anything in particular to call out?

I think that you are overgeneralizing people a little too much. Particularly your comment that people fall into particular subtypes, and if you know these types you will rarely be surprised by their behavior. This type of thinking can easily be supported by your experiences because of confirmation bias, but I think people will typically have unique reasons for their actions.

Other entries in the blog mention she has a military husband.

I feel like it would cause some strange local weather patterns too if you localized all of the high albedo paint in one area. Would be a funny consequence, but I'm sure they've considered it!

Out of curiosity as I too would like to automate the tedium of things like a perf. review - how exactly do you automate those 'one-off' per year tasks that fall more in line with spending more time maintaining the code for that task than time saved automating.

I have had some success with certain tasks in the very high-frequency category, but almost no successes with anything that has a cadence higher than a month (always relevant.. https://xkcd.com/1205/)