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Cake day: July 5th, 2023

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  • So if the difference is corporate consolidation… Sounds like that’s the real underlying issue then, not automation.

    Economics has well established that monopolistic behavior by firms harms consumers & the overall economy (that’s why we have anti-trust laws in the first place).

    Don’t conflate the one problem with another, as I agree the erosion of anti-trust laws is a bad thing and needs to be reversed. But that doesn’t mean firms further automating things is now also bad.

    I’d also say “automation affecting the whole economy at once” isn’t unique. The industrial revolution was not isolated to one industry, its effects were economy-wide. Also true for the transportation revolution (trains & steam boats moved everything), telecommunications, and the internet…


  • If you’re not aware, look up the automation paradox: https://ideas.ted.com/will-automation-take-away-all-our-jobs/

    Every* automation advancement has lead to an increase in employment, not decrease. Most often jobs in the immediate sector are lost, but the rise in supporting sector jobs are bolstered.

    Classic examples are the cotton mill and combine harvester. The number of agricultural workers declined, but the number of jobs processing agricultural product increased. Or with ATMs, the number of tellers needed per bank location decreased, but the total employment in the banking sector increased (banks opened more branches, namely in places where it was previously cost prohibitive).

    As more things are automated, what’s being automated becomes cheaper and more prolific, often increasing (or creating) new opportunities. There are so many historic examples of this, it’s hard to justify “this time is different” predictions… Even for things like AI automating white collar jobs.

    *Edit: almost every. It depends a bit on how you count the secondary jobs, and where those are located (automation combined with offshoring results in a net decline in some countries, but increase overall).



  • Hackers and hobbiests will persist despite any economics. Much of what they do I don’t see AI replacing, as AI creates based off of what it “knows”, which is mostly things it has previously ingested.

    We are not (yet?) at the point where LLM does anything other than put together code snippets it’s seen or derived. If you ask it to find a new attack vector or code dissimilar to something it’s seen before the results are poor.

    But the counterpoint every developer needs to keep in mind: AI will only get better. It’s not going to lose any of the current capabilities to generate code, and very likely will continue to expand on what it can accomplish. It’d be naive to assume it can never achieve these new capabilities… The question is just when & how much it costs (in terms of processing and storage).



  • VIX under 20 isn’t a warning… The stock market valuation indicator I agree with: stocks are a bit over valued right now. But over valued just means we need a correction… not whether it will be a mild or severe one.

    What’s more troubling is the market reacting already to nonsense trump comments. From the caption in the linked article:

    The latest market sell-off was partly triggered by former President Donald Trump’s comments on Taiwan and tariffs.

    Does no one else remember the dumpster fire that was the markets jumping at every comment and policy flip-flop during his four year term? The same volatility indicator (VIX) regularly jumped over 20 after some dumb trade policy comment…










  • whyrat@lemmy.worldtoSelfhosted@lemmy.worldAny love for Kubernetes here?
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    1 year ago

    I’d suggest Podman over docker if someone is starting fresh. I like Podman running as rootless, but moving an existing docker to Podman was a pain. Since the initial docker setup was also a pain, I’d rather have only done it once :/

    For me the use case of K8s only makes sense with large use cases (in terms of volume of traffic and users). Docker / Podman is sufficient to self-host something small.