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Joined 1 year ago
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Cake day: July 3rd, 2023

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  • This is incorrect. And I’m in the industry. In this specific field. Nobody in my industry, in my field, at my level, seriously considers this effective enough to replace their day to day coding beyond generating some boiler plate ELT/ETL type scripts that it is semi-effective at. It still contains multiple errors 9 times out of 10.

    I cannot be more clear. The people who are claiming that this is possible are not tenured or effective coders, much less X10 devs in any capacity.

    People who think it generates quality enough code to be effective are hobbyists, people who dabble with coding, who understand some rudimentary coding patterns/practices, but are not career devs, or not serious career devs.

    If you don’t know what you’re doing, LLMs can get you close, some of the time. But there’s no way it generates anything close to quality enough code for me to use without the effort of rewriting, simplifying, and verifying.

    Why would I want to voluntarily spend my day trying to decypher someone else’s code? I don’t need chatGPT to solve a coding problem. I can do it, and I will. My code will always be more readable to me than someone else’s. This is true by orders of magnitude for AI-code gen today.

    So I don’t consider anyone that considers LLM code gen to be a viable path forward, as being a serious person in the engineering field.


  • They’re falling for a hype train then.

    I work in the industry. With several thousand of my peers every day that also code. I lead a team of extremely talented, tenured engineers across the company to take on some of the most difficult challenges it can offer us. I’ve been coding and working in tech for over 25 years.

    The people who say this are people who either do not understand how AI (LLMs in this case) work, or do not understand programming, or are easily plied by the hype train.

    We’re so far off from this existing with the current tech, that it’s not worth seriously discussing.

    There are scripts, snippets of code that vscode’s llm or VS2022’s llm plugin can help with/bring up. But 9 times out of 10 there’s multiple bugs in it.

    If you’re doing anything semi-complex it’s a crapshoot if it gets close at all.

    It’s not bad for generating psuedo-code, or templates, but it’s designed to generate code that looks right, not be right; and there’s a huge difference.

    AI Genned code is exceedingly buggy, and if you don’t understand what it’s trying to do, it’s impossible to debug because what it generates is trash tier levels of code quality.

    The tech may get there eventually, but there’s no way I trust it, or anyone I work with trusts it, or considers it a serious threat or even resource beyond the novelty.

    It’s useful for non-engineers to get an idea of what they’re trying to do, but it can just as easily send them down a bad path.









  • The ACA was intend to support single player health care.

    She’s taking the Obama position which, it’s the politically savvy one, if they can get all the measures of the ACA through.

    The ACA is what Canada did before transitioning to single payer. That had anyways been the goal of the ACA.

    The issue is a lot of Americans are resistant to single payer. They think having only 1 choice is like communism or something.

    Which is why the ACA had always been the first step. Obama had said as much, publicly.




  • You generally don’t want losses as a business. Even a startup. Ever. You want your revenue and expenses to be as close as possible,ESPECIALLY for the first few years.

    Some insane Silicon Valley companies take VC money and operate at a massive, massive loss, banking on making that up with a spike in growth later. In most cases, it’s built into their business model that they’d be operating at a loss for X quarters.

    That’s not what’s happening here. They’re operating at a huge, huge loss, and they have no realistic business prospects for how to close that gap, ever.

    Additionally, the market leader in their space (Twitter/X), is making a hard right pivot and becoming a right wing platform/safehaven. This is further reducing an already thin market share they might have claimed.

    Purely as a business investment, if I saw these numbers, in this market condition, I would pull my money immediately. Halt all further investment. Call a board meeting. Liquidate the company to try and pay off the debts, and any proceeds are returned to the shareholders.

    I would, under no circumstances, continue to invest in a company like that, expecting any sort of return on my investment. I could only expect to lose whatever else I put in.





  • That’s not how criticism works. There needs to be something of substance for a critique to have merit.

    This was just stereotyping someone based on their looks. You know, the thing we give the other side shit for doing with Harris. It’s not productive, not a good look, and outside of the internet it’s a great way to tell the people around you that you have nothing of value to add to a conversation or discussion.