Expert developer, Buddhist

  • 6 Posts
  • 163 Comments
Joined 3 years ago
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Cake day: June 21st, 2023

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  • I think this is true to some degree, but not exclusively true; new grads still get jobs. However, I think it’ll take some time for universities to catch up with the changes they need to make to refocus on architecture, systems design & skilled use of LLMs

    My opinion is that the demand for software is still dramatically higher than what can be achieved by hiring every single senior dev + LLM. I.e. there will need to be more people doing it in the future regardless of efficiency gains










  • Lung@lemmy.worldtoComic Strips@lemmy.world*Permanently Deleted*
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    2 months ago

    I think it’s pretty worthwhile being paranoid about Tor. Not because of hackers, but because of the government, they are clearly watching all the forums and markets there very closely, setting up agents and honeypots. Tor itself may or may not be secure, you never really know for sure. For pretty much all legal privacy usecases, a VPN is enough, and much more performant



  • I really don’t understand why lemmy hates ai so much. I get massive productivity gains every day from AI. I agree with this exec that we probably won’t hit AGI using current tech or maybe ever, but we still have:

    • incredibly useful image generation that dramatically speeds up the work of designers
    • coding agents that, when used skillfully, generate usable code, and review code pretty well in PRs
    • suno, which can generate stems that my musician friends are regularly using instead of having to hunt through the Internet for days for the right trumpet melody

    How this translates to profit is unclear since there is a race to the bottom, companies are choosing to give away the tech to gain market share rn, but the technology is undeniably useful, and already rolled out inside of every major tech company



  • There’s a whole school of philosophy that has argued about this for … Well forever, but especially the last 100 years, the philosophy of mind. The problem is definition: what does it mean to think. Some may argue that it requires consciousness, but then the problem of definition is what the hell is consciousness?

    So on the trivial side, yes, of course computers can think, if thoughts are nothing special. Computers have states, they can react to and inspect their own states. Is that thinking? LLMs use something like neural networks modeled after the mind to generate streams of words, and encode knowledge and concepts using statistics. Is that thinking?

    On the other side, well no, computers don’t think because they don’t have souls. Are souls real? Or maybe there’s more to human thinking than just neural networks, like quantum effects? Or more complexity due to chemical biology? Is the ability to answer a question the same thing as understanding a concept (see Chinese room experiment)?

    These are the questions that philosophers love to masturbate with, publish many papers on, and make no real progress towards. Definitions are funny like that