Why is the author conflating a virtual machine (a deployment mechanism) with security?
Readit Newsslashdave commented on AI models need a virtual machine blog.sigplan.org/2025/08/... · Posted by u/azhenley
slashdave commented on AGI is an engineering problem, not a model training problem vincirufus.com/posts/agi-... · Posted by u/vincirufus
This article seems to me like a lot of "if you solve all the hard problems, then you'll have a solution". Which is like... yes, and...?
The article doesn't even discuss hard problems.
An unfortunate tendency that many in high-tech suffer from is the idea that any problem can be solved with engineering.
slashdave commented on AGI is an engineering problem, not a model training problem vincirufus.com/posts/agi-... · Posted by u/vincirufus
That doesn’t contradict what they said. We may one day design a biological computing system that is capable of it. We don’t entirely understand how neurons work; it’s reasonable to posit that the differences that many AGI boosters assert don’t matter do matter— just not in ways we’ve discovered yet.
We understand how neurons work to quite a bit of detail.
slashdave commented on AGI is an engineering problem, not a model training problem vincirufus.com/posts/agi-... · Posted by u/vincirufus
> We don't know if AGI is even possible outside of a biological construct yet. This is key.
A discovery that AGI is impossible in principle to implement in an electronic computer would require a major fundamental discovery in physics that answers the question “what is the brain doing in order to implement general intelligence?”
That question is not a physics question
slashdave commented on AGI is an engineering problem, not a model training problem vincirufus.com/posts/agi-... · Posted by u/vincirufus
We don't know if AGI is even possible outside of a biological construct yet. This is key. Can we land on AGI without some clear indication of possibility (aka Chappie style)? Possibly, but the likelihood is low. Quite low. It's essentially groping in the dark.
A good contrast is quantum computing. We know that's possible, even feasible, and now are trying to overcome the engineering hurdles. And people still think that's vaporware.
> We don't know if AGI is even possible outside of a biological construct yet
Of course it is. A brain is just a machine like any other.
slashdave commented on AGI is an engineering problem, not a model training problem vincirufus.com/posts/agi-... · Posted by u/vincirufus
> Phase 3: Emergence Layer
I see. So the author rejects the hypothesis of emergent behavior in LLM, but somehow thinks it will magically appear if the "engineering" is correct.
Self contradictory.
slashdave commented on Static sites with Python, uv, Caddy, and Docker nkantar.com/blog/2025/08/... · Posted by u/indigodaddy
It's... a static site. Generate the output (use docker if you want, doesn't really matter), and just dump the result to a directory on an ordinary server.
What’s the motivation of the CEO to increase employee wages if his compensation isn’t tied to theirs?
There’s this perverse belief that companies should exist to enrich the wealthy shareholders at the expense of the workers and it’s put us dangerously close to a complete collapse of the social contract.
The motivation? A healthy and productive workforce. The greater good.
Not sure why you would tie pure compensation (a greedy concept) with goals that align exactly to the opposite.
Inequity is a real thing, but I am confused about why the CEO of a company that consists primarily of low wage earners deserves a lower compensation for that reason alone. If you follow this logic to extremes, the compensation of a CEO of a company of a dozen people earning 100,000 should be higher than one with with tens of thousands of employees earning 30,000.
Not all businesses are the same.