testerteert000a
Joined 4 months ago
Joined 4 months ago
DCs, new golf, new homes, new alfalfa, new ranching - the math isn't there.
Tech people saying ignore the water problems are saying implicitly that AI, despite showing up late in line for access to a resource that's an old, old problem in the western US, is more important than hearth and home considerations fighting for the same dwindling resource.
The average western farmer/rancher, their own judgement and contributions to this problem aside, definitely love coastal tech people sniping their pre-colorado compact water rights via all that goes into getting water rights like that.
If you haven't been paying attention to the "water thing," that doesn't mean it's not serious af.
by all accounts this is what's what because of how...
> You can do CRISPR in your kitchen.
.. and because of the same dynamic we see occurring in cybersec.
If you're good enough at cybersec, but not good-good at specific skillsets like offensive, then LLMs and a comp sci degree makes you quite capable in the ways that count. This is a fact, full stop.
If you're good enough at biology and have certain ideologies, but not good-good at specific skillsets like genetic engineering in your kitchen, do LLMs get you good enough? Does the impact on cybersec transfer over to this domain? H
Hard to say, but it has enough risk indicators for me to think the pushback against these possibilities is the height of otherwise talented engineers being myopic.
If good enough at biology can include all the PhD programs across all the world, and you pair other known events like cartels and terrorism groups hiring chemistry PhDs from University of Unemployed Chemistry PhDs, then the next logical extension of that theme with this tech is intense.
I think what is most relevant to me these days:
- When I explain to my family, peers, and the endstate about what I did with my time during working years, I'd like to be able to answer it in a certain way. I stopped being able to answer it in that way by staying in tech, I realized.
- Things over the "months to years" cycle look bad-bad. Shorthand described as I lived through 2008, AI on a timeline looks a heck of a lot like that, and I'd take a morale toll if that's the only toll I end up paying from 2026-2035.
NP further swings the math, to include the tuition costs baked in from a cheap in-state school, employer tuition support, and specializing in demand areas like psych.
> Why aren't we seeing catastrophic GLM-enabled hacks every day now?
Why aren't we? Truly, why aren't we? I think we saw the start of it the last 8 months with the waves of critical npm vulns, and the general tier of average phishing is better than it was.
But, the open question that should be in everyone's mind, and is in many security pro's minds are, when you pair it with the macro topics that can drive escalation:
- The capability to do serious impact clearly exists now
- When is it time for my company, my water treatment plant, my network-connected car as part of a broader fleet control mechanism, to be on the receiving end of this?