1,324 karma · joined August 30, 2025
> Meta Platforms reported annual income taxes of $25.474 billion for 2025, driven by massive profit margins and a major one-time tax charge stemming from the One Big Beautiful Bill Act (OBBBA). Despite massive recorded U.S. income, Meta's effective federal tax cash rate dropped to just over 3.5% due to extensive research and development (R&D) credits, stock option tax breaks, and bonus depreciation.
> META received a 55 percent tax break as part of the Enterprise Zone Tax abatement program, which is a state initiative
If I was in SF & working for Google or Meta then maybe you might have a point but I'm not in SF or any major metropolitan area so from my perspective the whole thing is actually a net negative.
I think you're overestimating the relevance of these data centers for regular people. They can get by just fine w/ local¹ & a lot less environmentally destructive computational resources.
> Historically, "node" sizes (like 28nm or 7nm) directly correlated to the physical length of a transistor's gate. Today, names like 3nm or 2nm reflect a marketing generation. The actual transistors are significantly larger than these nanometer labels, meaning density varies between companies
> Research organizations like IEEE have proposed new metrics, such as transistors per cubic millimeter (MTr/mm^3), to accurately map future 3D scaling. However, commercial chip foundries resist this change because it would make it harder to calculate commercial yields and thermal density limits using standard industry formulas.
So instead of making any unjustifiable claims like "everything physical is computable" you should instead just say "I believe consciousness is computable and that is why it is possible to instantiate it on any computational substrate, including strategy games like Age of Empires, properly arranged dominoes, and water wheels".
Edit: Actually nevermind. If UHAT could be compiled into LTL w/ polynomial overhead then that would also work for the languages that have exponential overhead in LTL but since they don't there is a strict separation.
- Monadology, Section 17
Conscious self-awareness is neither scale invariant nor independent of substrate. Computational theories will never account for it b/c computational abstractions are both scale invariant & substrate independent.
Ok, but we want the other direction. If FPSan(f) & FPSan(g) produce identical results for identical inputs then we want to conclude that f & g are also equivalent. If g is an "optimized" version of f then this would allow checking equivalence but that's not what they are proving or maybe they are but it looks like the converse is contingent on an unproven conjecture.