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Tangentially, I wonder how people mentally model "too-good-to-be-true"?

"Everything is a tradeoff" is almost a core belief for me, but in the same time, in technology, the "too-good-to-be-true" events does turn out to be real every once a while (I'm using technology here as a general concept).

I do understand GLP-1 does have some downsides, like cost, or in my own experience, nausea. But the tradeoff seems negligible compare to the upside. Part of me feels like that there is some hidden trade-off somewhere that we're not discovering, but part of me also wonders if it's a once in while technology jump, where it is just better.

Anyway, I guess I'm just a bit wary to throw away the "everything is a tradeoff" mental model that has worked quite well for me.

Refreshing take on "Follow your dreams"! It's quite surprising to me that this tired genre can still deliver something new.

If you read their case, it sure seems compelling. It seems like Lina Khan had to write down her CC on a piece of paper, questioned how they will store her info, and a week later promptly launch a CID once she went back to DC.

The whole thing is quite funny. If I had that power, I would probably launch an investigation too. In the same time, kudos to the lawyers.

Here is what you can do (from someone who tried many times to block their emails), write to privacy@nextdoor.com and request that all your data be deleted.

As someone who recently had to implement delete requests at a startup, I can tell you that this process usually exists and is handle by a different team. It's much quicker.

Great parody. It is sad that this has become the most effective way to remove the homeless, and funny that it struck some sort of balance that our liberal standard tolerates.

I liked this new media outlet and they put out some interesting pieces, but headlines like this are a pretty good data point to the contrary.

by the dandelion factory right? I biked passed it yesterday and saw that they just reopened.

These industries just have a different mechanism, here is an example: the worlds 10,000th best tennis player probably makes $0 dollar from tennis, and the world's top 0.1% of pharmacists make maybe twice as much as the 50th percentile.

Some industries you either are the top 0.01% and make millions; in some industries being average means a decent living.

Software has long transitioned from one end of that spectrum to something more towards the middle. Super star developers simply aren't productive enough for the demand of software

I never worked in search, curious what are the technical difficulties of implementing a YouTube-style "Don't Recommend This Channel" are? From the outset, the YouTube recommendation can be an offline process, and much easier to scale.

Google pretty much has "F-you" level developer man-power to throw at this problem, so I'm somewhat surprised they haven't implemented it yet (the "bad result is good for Google" reasoning never quite made sense to me). I'm curious if the functionality is not worth it or if the technical challenge is insurmountable at Google's scale.

Feels weird to read about Dali in such context. As a 90s kid who grew up reading Mr Jin Yong's books, and the only thing I know about Dali is 六脉神剑

i mean...wow. that's a bit mind blowing

This generative AI stuff always makes me feel like my world is just a dynamically generated RPG or MMORPG.

fair enough!

I'd somewhat hesitate to give out credit like that. It's more of that China kicked out Google, thus freeing Google to "stand up" to the CCP. I would love to see more of an example where a company had a lot on the line and still oppose the CCP

Yeah like other comments have said - agreements with venues. In the real world, it is still relatively easy to control the supply, especially given there are so few big venues and only a number of big artists that can fill those venues.

This is actually pretty awesome! I think the ranking algo is doing a pretty good job. I checked a few categories I follow closely, and the top results match pretty well with how I would personally rank them. And now I'm off to explore other topics. Thanks!

It is pretty cool. When I was little I had no idea what it means, just knew that it sounds cool. But the older I get that more I see these patterns.

junior dev: python is so cool!

senior dev: python is slow. No type checking. The syntax is garbage.

John Carmack: I write a lot of python and I use it exactly for what it is good for!

Thanks! I'll have to check out "Clean Code in Python”. Packt books seem to have more quality variance in my experience, but perhaps this is one of the good ones.

Glad that this is on Oreilly so I can read a few chapters first.

I want to second all the opinions about fluent python, serious python and practices of python pro. I probably own most python books out there, and if I had to recommend one, it would by fluent python 2nd. The 2nd edition has a lot of type checking stuff that's really cool.

Two more resources that I really like:

1. Pycon videos - they're posted free on youtube. It's a great way to explore interesting problems with interesting people.

2. Another book on python by Harry Percival (he does a lot of TDD stuff) - Architecture Patterns with Python. This book is relatively new. It targets an rather niche audience (web devs). But it's hard-won knowledge and really well written. It's a wonderful resource for python devs, and a book I wish more people knew about. https://www.oreilly.com/library/view/architecture-patterns-w...

I want to caution a bit with using FastAPI in prod. There is still a pretty significant memory issue that is not resolved: https://github.com/tiangolo/fastapi/issues/1624

But in general, I agree with you that FastAPI introduces a lot of concept that are very useful to learn.

I remember watching the new Top Gun and thinking it is basically a burger: there is the craft (making movies or making food), but sometimes, craft matters very little and it's more not messing up the ingredients (beef and jets).

Overall, 10/10 American.

I think the OP meant buying partial stock? afaik those are not real trades; robinhood has to house the trades on their books to some extent

I have the iphone 8 - love it. I'm planning to own it for the long haul and make the jump from 8 to 18 (when it comes out).

Thank you Tim for making this a 10 year wait, and not 20

wow - takes some dexterity. I thought it didn't work because I was refreshing the page and hitting ctrl + p. But it really is you have to wait for it to load and switch to that tab and do ctrl + p. Cool trick!

Udemy coming in at 66% is pretty surprising to me. I personally purchased some 50 courses on there, and am happy with the result (especially owning the course and not having to deal with a subscription), but it is surprising to me that it basically won that market. It isn't all that friendly to course maker iirc. And the course quality varies a lot. Its pricing model is also very shady, giving me the impression that it is a poorly run company.

Of course - youtube is not included; I imagine that'll really skew the graph

edit: shoot, I just checked and I actually purchased 98 courses.

Second the diff. big fan

Ah! I was wondering what car brand, I'm guessing it's Volvo?

I wonder how NYT feels about this.

I can't seem to find a reason why "screen scraping" is important here, as oppose to just scraping?

My understanding is that screen scraping is taking a picture of the rendered website and using an OCR or some other sort of recognition tools to extract the data.

If it is just scraping - it should be perfectly legal right?

I don't think your ability to learn decreases (that much) with age. However, being older also means more responsibility, which takes time. It also probably means whomever you're talking to already has a mean to earn a living, so to get into software engineering represents a rather large opportunity cost. It takes a huge effort to start over at the bottom, both in terms of salary and self-esteem. I talk to a lot of people who want to switch to software, few do.

Bootcamp is a really good shortcut. It's no surprise that most bootcamps arrived at the conclusion that front-end dev has a lower barrier to entry and focus on that. Kudos to them. It's a great way to get started.

Working a software-adjacent job can also lead you to software (I took this route), whether that is being a data scientist, data analyst, or any job that might benefit from a bit of python scripting. It greatly reduces opportunity in some cases (for example, a lawyer who leans to code to help his day job), in other cases, it simply delays it (if you really want to switch to SWE, you kinda still have to start at a junior position at some point)

Self-taught is absolutely possible. But it also means you have to do both the course planning as well as the learning, which adds another layer of challenge. It really takes a lot of dedication to go this route.

Software is unique in the sense that your skill becomes obsolete much quicker than other fields. It's a double edge sword - on one hand, you have to constantly learn new things, on the other, this dynamic creates a lot of jobs, because you don't have to wait for people to retire or switch jobs. A 3 year react dev is consider senior, same goes if you have 2 years of prod experience with k8s right now. You just don't see that in other fields.