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One can hope, but that sentiment is quite unpopular on HN.

Most people don't have anything that could even be called an "estate".

Judging from reported figures, roughly 80-90% of households in the US [1] have a household net worth of at least $0. That means that most people do in fact have an estate.

Median household net worth is in fact somewhere in the $100k-200k range, which is definitely something that could be meaningfully called an "estate." (Most of this tends to be the house, the median net equity in which is about $190k as of 2022).

Source: https://www2.census.gov/library/publications/2024/demo/p70br...

[1] This doesn't mean "homeowners," rather it's a recognition that assets for married or cohabitating couples are usually commingled.


It’s just the legal term. If you have a relative die with a bit of stuff and an ancient car, they have an estate and someone needs to execute it even if the total value is less than most lawyers care about.

Ummm, not quite.

An "estate" is a legal term for property, assets, and liabilities a person leaves behind upon their death. A family member is a top practitioner in the field of estate planning and resolution, and some of the messiest estates they have handled are pro-bono cases of exactly the type of people you would put in italicized "most people": poor, not really able to upkeep a house they inherited from a relative which hadn't had title properly transferred on a previous death because they didn't have money for an attny, now can't get a loan to fix the roof...

Yeah, if you are homeless, carless, and have only the clothes on your back and a shopping cart of stuff, you don't have an estate. Everyone in the middle class in the US has an estate. Much of the time it passes automatically to their spouse on death, but it's still an estate.

And if you are concerned about where it goes, get a GOOD attny. There are many bad ones hanging out their shingle as "Trust & Estate" attnys, and some of the next messiest cases are fixing problems made by those not-so-good attnys.

And NO, AI is not good enough.


Everyone has an estate. Only thing is that you have to die first.

    Peaceful protests, with guns, are a historically great way to remind those in
    power that the power comes with duty and obligation to protect the people.
That worked out great for Alex Pretti.

According to what I've read, Alex stepped in between an altercation with a woman and an agent. He physically inserted himself into a situation with law enforcement; thats different from what I'm saying.

Can one really not imagine a case where the cheating machine being used by students is a bad thing for teachers? Does everything have to be "politically motivated"?

Its also a teaching machine. There are several classes I had in college I would have killed for ChatGPT to cut through the terrible instruction.

hmm the classic trolley problem

There are more aspects than "cheating machine" that could be bad for a college. It could be bad for students, and teachers may realize that.

Yes the a priori most likely reason for the TU to be "against AI" is political. If you know much about TUs this is pretty obvious

That is a grotesque misuse of the phrase "a priori." What you mean is, "It's obvious to me." Ok, good for you.

AFT is in fact pro-AI

This is a non-sequitur? Python is also not a "standalone language" and requires "some runtime".


Sure but that runtime is much more general purpose - JS runtimes are focused on network apps. For example you can write an app like Calibre in Python and QT and it is much lighter than writing something with JS and Electron.

Python is easier to interface with C/C++ libs.


The async loop does not automatically make it "focused on network apps". Most apps I work with in Python also run on an async runtime.


It’s not the async loop - it’s interfacing with the system. JS is designed to run in a sandbox and the only way out in say Node.js is to write C++ addons.

For example you don’t get to see TCP headers with Node out of the box and you can’t craft packets, whereas you can in Python.


Yeah, I've thought about this since I do prefer JS as a language... Always thought the main advantage of Python was interaction with C libs. Which is also why CPython was the only serious option for an interpreter, even though things like PyPy were faster.


You may be thinking of Litestar (previously named Starlite) that was based on Starlette akin to FastAPI but then went their own direction implementing a framework rather than relying on an upstream for their core product.



..And?


FastAPI depends on "starlette>=0.46.0"


And? It's a non-sequitur to my comment.


    primeagen's view
He's a content creator on youtube, a celebrity, not a serious programmer.


He was a software engineer at Netflix before turning to content creation. It is also clear watching his videos that he knows his thing. As an experienced programmer myself, I find his commentary to be way too relatable to be just bluff.

He may not be Don Knuth, Linus Torvalds, John Carmack or Fabrice Bellard. But he is definitely a serious programmer. That he livestreams doesn't make him less of a programmer.


It is clear watching his content that he just chases whatever the talk of the day is and chiming in on things he has no knowledge of.


Who cares what you think of someone else’s qualifications?

It’s just someone quoting someone to help ground their position.

What if it was a journalist writing about a security vulnerability then a programmer quoting them, would that count then?


If it doesn't matter, why did the previous poster mention them?

It's pretty clearly a type of argument called an "appeal to authority", where an authority is cited to add credibility to a position. It's usually considered a pretty weak form of argument, but it can be effective. So the credibility of the cited authority is relevant.


Those SWE practices were so solid that the rewrite was already rolled back!


    I'm using LLMs to assist my development and I'm measurably (in all the ways we
    engineers could possibly care about) doing better work faster.
Studies suggest you aren't any faster and may in fact be slower. It's difficult to study such a new tech, but even optimistically, empirical evidence is only showing a ~3% gain in some domains.

Writing code is rarely the limiting factor in our work.


I think those studies have framing or methodological issue.

I agree the maintenance burden is probably being undervalued by developers in general, but there's just no way the work I do isn't faster. I just categorically couldn't have achieved the outputs I do now in the time windows I have. The software just wouldn't have existed in the world of 3 years ago and I did enough coding back then to say that with certainty.


In the past 18 months I've seen experienced developers turn out incredible work using llm-assisted tools, over and over again. With the right harnesses, processes and result-oriented testing, you can simply produce so much more high-quality work.

I know it's anecdotal, but I have so much data from my own experiences and those of my peers that I know these new tools are here to stay. It also makes me believe that those studies are either flawed or out of date.


Surely that argument is dead once someone has migrated a million lines of code in eight days.


Surely that reinforces the argument - there are now a million LOC in a different language, needing stunning amounts of work to validate it actually functions? Writing the code has never been the bottleneck.


Writing code was definitely the roadblock in a rewrite like this.


There's no uncertainty here. Every day I ask myself how long something I did would have taken without it. The answer is always crystal clear. It's not hard or difficult at all.


Those studies have well known flaws. I'm measuring my output so I happen to know I'm not only going faster, but the quality is better.

I'm not vibe-measuring my output ;)


studies suggest nothing. i've released a massive number of features in the last year for several projects that i estimate would have taken me multiple years to put together in a much more mentally exhausting way.


Your drive-by comments are unwelcome. You can estimate all you want, but the data is collating, and it isn't within your worldview.


It is healthy to question results: That's good science.

This result wouldn't surprise me if the tooling was limited to, say, copilot :)

It would surprise me if it included tooling like Claude Code. Which seems unlikely, given its recency.


I am not estimating anything. This is my own evidence from my own projects. I have deployed gigantic features this past year, each of which would have taken me the whole year to write.


PLTR employees hiding things that make them feel bad?


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