712 karma · joined September 29, 2011
"Just so, I maintain, does a given undivided portion of experience, taken in one context of associates, play the part of a knower, of a state of mind, of 'consciousness'; while in a different context the same undivided bit of experience plays the part of a thing known, of an objective 'content.' In a word, in one group it figures as a thought, in another group as a thing. And, since it can figure in both groups simultaneously we have every right to speak of it as subjective and objective, both at once." - William James, Essays in Radical Empiricism
“Civilization advances by extending the number of important operations which we can perform without thinking about them.” - A. N. Whitehead, An Introduction to Mathematics
"Das Ende der Melodie ist nicht deren Ziel" - Der Wanderer und sein Schatten
It's fairer to just focus on competency, certified or not.
I don't see how that's different from mucking around with Python locally on your own machine?
That's a direct path to armed conflict. Those aren't great in the reduce CO2 emissions and cut down on resource consumption departments.
As an example, take Excel and Python scripting. Almost anyone who uses the former can pick up the latter yet that isn't what typically happens. There is effectively a chasm between the two. Why is that?
Are you referring to iCloud Private Relay?
Verifying a tax code implementation is a good place to make use of property based testing.
It's arbitrary and dogmatic to require having kids in order to have a say in the future, for starters?
> why do you think politicians always advertise the fact that they have a family when they're running for office (or hide the fact that they don't)?
That's not true in Western Europe and increasingly untrue in the US too.
> Because it, at a subconscious level, makes people feel comfortable. "This person's progeny have to live with these policies." It's a trust signal.
As an example I can think of many US politicians who had kids that supported the 2017 tax cuts and opposed measures to decarbonize the US economy. Kids or no kids, they don't care about the future.
$203 million in wages stolen in the past 5 years, and that's just in New York.[1] The US Department of Labor recovered $3 billion in stolen wages 2017-2020.[2]
A large portion of wage theft also slips through the cracks because of cash transactions that make it hard to catch or when it's difficult for victims to seek legal redress, such as when they are undocumented.
But sure, there obviously is nothing to worry about. /s
[1] https://www.propublica.org/article/thousands-of-new-york-wor...
What an odd perspective. Are children the only way to have skin in the game when it comes to the future?
One consequence of doing something like this would be an almost complete removal of people who through no fault of their own cannot have children as well as some religious practitioners from public life.
Having just read the FDA announcement on artificial wombs, how would those fit into this?
Agree, it sounds like peanuts. Probably still better than nothing on net but substantially raising this subsidy is the first thing to do if making a serious attempt to improve things for families.
In a manner of speaking, yes.
We've historically been very good at coming up with new things for people to do. Why would this time be any different?
On the other hand it takes over two decades from the time someone's born until they are part of the workforce. That won't change and as a result we have a pretty good idea of what the upper threshold on labor looks like globally the next few decades.
When it comes to housing, it's pretty clear how the Fed's monetary policy drove those costs in areas where it is scarce. Luckily counteracting that is simple given political will, at least in principle.
Based on the trends TFA discusses we'll be seeing severe social stress if basic tasks don't get automated. All due to labor shortages. Focusing on alternative arrangements to salaried work is backwards, unless the goal is boost labor participation.
Current demographics are baked in for the next 30 years and only point to a greater shortfall of labor in the future.[1] $1,000 signing bonuses for fast food jobs start to look quaint pretty quickly.
[1] https://www.penguinrandomhouse.com/books/545397/empty-planet...
I haven't yet read the whole paper (nor have I looked at the benchmark docs which might very well cover this) but curious how these are designed to avoid issues with overfitting. My thinking here is that canned algorithm type problems common in software engineering interviews are probably over represented in the training data used for these models. Which might point to artificially better performance by LLMs versus their performance on more domain-specific type tasks they might be used for in day-to-day work.
[1] https://github.com/openai/human-eval
[2] https://github.com/google-research/google-research/tree/mast...
For bare metal would something like Equinix fit?
> Even managing a fleet of VMs is nightmareish today.
What about fly.io?
Irrespectively though I don't see how a competitor can replicate the context and tacit knowledge associated building something like CUDA for close to 20 years without putting in a similar amount of time.
Is it? A competitor can enter the market and undercut by producing a cheaper and otherwise undifferentiated commodity-type product. Nvidia's focus is adding moats that prevent competing on pure specs such as CUDA, design, and so on.