25+ yr Java/JS dev
Linux novice - running Ubuntu (no windows/mac)

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Joined 1 year ago
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Cake day: June 14th, 2023

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  • I think job postings are better in indeed, but tbh >75% I’ve gotten in pretty much my whole 25+ year career has been through a recruiter. Dice.com used to be big for tech jobs back in the day but I’m not sure any more.

    As a SSE, mostly I have recruiters hitting me up through linked in. This is also a really bad time. I’ve been back to work for about a month after 5 months of not finding anything. That’s the worst drought I’ve had in almost 15 years. Usually it’s < 1 month.

    Be seriously prepared about cloud. It’s so anyone fucking wants right now. I’m a damn good Java/js developer, but I’m still learning the tech stack and I haven’t touched a line of code yet in this job. Everything has been configuration and pipelines. I feel more like devops than developer.





  • I don’t think I would agree that just because something is public that it’s a public forum. I feel like the public has to own it as well. I looked it up and maybe it’s because I predate social media by rather a lot, but I think of it in the classical sense:

    Public forums are typically categorized into three types:

    1. Traditional Public Forums: Long-established spaces like parks or sidewalks, where people have historically exercised their rights to free speech and assembly.
    2. Designated Public Forums: Areas that the government intentionally opens up for public expression, such as town halls or school meeting rooms.
    3. Limited Public Forums: Spaces opened for specific types of discussions or activities but with certain restrictions on the subject matter or participants.

    The important factor being public ownership of the forum. I will concede that it has colloquially come to include public social media, but I think it’s important to distinguish that it’s not really the same thing at all as has been discussed through most of our history.

    Food for thought. I just think calling them public forums attaches too much importance to a profit seeking endeavor.


  • I would only note that for the vast majority of my experience these streams can only return up to a single match. Determinism isn’t really preserved by findFirst, either, unless the sort order is set up that way.

    Finding the first Jim Jones in a table is no more reliable that finding any Jim Jones. But finding PersonId 13579 is deterministic whether you findFirst or findAny.

    Perhaps you work in a different domain where your experience is different.


  • I try to prefer .findAny() over .findFirst() because it will perform better in some cases (it will have to resolve whether there are other matches and which one is actually first before it can terminate - more relevant for parallel streams I think. findAny short circuits that) but otherwise I like the first. I’d probably go with some sort of composed predicate for the second, to be able to easily add new criteria. But I could be over engineering.

    I mostly just posted because I think not enough people are aware of the reasons to use findAny as a default unless findFirst is needed.





  • You made a lot of points here. Many I agree with, some I don’t, but I specifically want to address this because it seems to be such a common misconception.

    It does and it doesn’t discard the original. It isn’t impossible to recreate the original (since all the data it gobbled up gets stored somewhere in some shape or form and can be truthfully recreated, at least judging by a few comments bellow and news reports). So AI can and does recreate (duplicate or distribute, perhaps) copyrighted works.

    AI stores original works like a dictionary does. All the words are there, but the order and meaning is completely gone. An original work is possible to recreate by randomly selecting words from the dictionary, but it’s unlikely.

    The thing that makes AI useful is that it understands the patterns words are typically used in. It orders words in the right way far more often than random chance. It knows “It was the best of” has a lot of likely options for the next word, but if it selects “times” as the next word, it’s far more likely to continue with, “it was the worst of times.” Because that sequence of words is so ubiquitous due to references to the classic story. But over the course of following these word patterns, it will quickly glom onto a different pattern and create a wholly new work from the original “prompt.”

    There are only two cases in which an original work should be duplicated: either the training data is far too small and the model is overtrained on that particular work, or the work is the most derivative text imaginable lacking any flair or originality.

    Adding more training data makes it less likely to recreate any original works.

    I am aware of examples where it was claimed an LLM reproduced entirely code functions including original comments. That is either a case of overtraining, or far too many people were already copying that code verbatim into their own, thus making that work very over represented in the training data (same thing, but it was infringing developers who poisoned the data, not researchers using bad training data).

    Bottom line: when created with enough data, no original works are stored in any way that allows faithful reproduction other than by chance so random that it’s similar to rolling dice over a dictionary.

    None of this means AI can do no wrong, I just don’t find the copyright claim compelling.







  • Oh to be clear it was a complete scam. I mean it would’ve been. And I would’ve known from the start by searching for the pictures they sent on tineye and finding they were from a former r/gonewild poster. Also the fact that they just messaged a random account out of the blue and were instantly smitten and sending nudes like the next day. And the fact that when I said I’m married they were not dissuaded in the least.

    I have no idea if it would’ve been a blackmail scam or a sympathy scam or a phishing scam. I started out just intending to fuck with them, but eventually found I was looking forward to sharing what I made for dinner or drinks or hearing about their fictitious backstory. I mean they weren’t deep conversations, but they acted interested and I could just ramble on about my day or where I like to vacation or whatever mundane shit.

    At first I thought she was going to hit me with checking out her OF and I might’ve even thrown her a few bucks for taking the time to just talk with me. We talked for hours off and on without her asking me for money. I can appreciate establishing a connection, you know? But no. It wasn’t OF. It was just a scammer of some variety. Then I let them know they were busted and got to enjoy hearing the sob story about her evil ex who posted her nudes online and all the excuses she couldn’t prove it was her in any of the fifty ways I offered.

    But sadly our relational ended when she started hitting me with ChatGPT. I don’t need a middleman to pretend I’m talking to someone with an AI.

    Hypothetically, of course.


  • I mostly get what you’re saying, though I don’t have the requisite understanding to follow formal proofs, but if there is one thing I do know for certain, it’s that “understanding” is anthropomorphizing and shorthand for something that is very much not understanding in a human context at all.

    I get that it can be hard to find the right words to explain a some of these emergent phenomena, but I think it’s misleading to use words that make AI appear to have a thought process akin to anything we could understand as such—at least in settings where folks might not understand the shorthand as such.

    And maybe everyone here is aware of that, but it makes me uneasy, hence this comment to hopefully make that point.