I've done Stockholm-Oslo without stopping to charge in December in my model y long range. Didn't really do anything special either, just obeyed the speed limits pretty much. Most of the drive was on autopilot(not fsd) because highways are boring.
Had a pretty healthy margin too, I charged on the outskirts of town on the way home 2 days later.
You misused a comma; it doesn't belong where you used it.
Just because there are ninety nine ways to do something wrong doesn't mean there couldn't exist one way to do it right. In the case of space datacenters, there absolutely exists a way to do it effectively. Dumb VCs will never know the difference.
Wondering if there's a better reference article for this. The current link goes to a page with so many adverts that I saw no actual content on my phone screen.
The fact that people in the current year still don't use ad blockers baffles me. Even on mobile, use Firefox with uBlock Origin and/or DNS66 or AdAway for OS wide blocking, or even just set dns.adguard-dns.com in your phone DNS settings.
It is bizarre, isn't it? My web experience has been broadly cleansed of ads for about as long as we've had a web to experience.
These days, Firefox on Android indeed works great, and so does uBlock Origin. It's a superb combination on the desktop, and also on my pocket supercomputer.
On iOS, I browse with Safari and the free AdGuard extension (from the app store) does quite well.
These mobile browsers even work well for watching videos on Youtube without inserted ads.
They accomplish this cleansing at the cost of at most a few minutes of my time to set them up when a new device comes into the mix. It's a fantastic bargain.
People have choices, and I don't know why anyone would choose to see ads.
Except that wasn't possible. Languages like BASIC and Forth exist because they were the only kind of language implementable in 4K with no disk. Pascal in its smallest form (UCSD p-system) still needed disk overlays. The smallest C compilers were poly phase, needing storage for intermediate state.
They had a working PDP-10 at the Living Computers Museum (since shut down by Paul Allen's estate). Definitely a mainframe. That thing takes up an entire room.
This article explains what's missing in terms of two kinds of complexity that oppose: Shannon complexity vs. Kolmogorov complexity.
It introduces the opposition by an example of driving the value of pi as decimal number, which has no pattern and high complexity, and a formula for deriving pi that does have a pattern with low complexity, then observing that mind can work from the patternless high-complexity back to the patterned low-complexity without prior examples, while AI can't.
LLMs encode and retrieve patterns in the training data, and doing so can connect data to the terminology of known principle, but mind can observe inconsistencies in data and to reason from first principles to resolve the inconsistency.
The distinction between these two modes can seem blurry as AI can traverse the patterns of the known in ways that are extraordinarily revealing, but it's not structured to reason about the unknown.
Inference is not sufficient for reason.
For example, a conventional algorithm can search for patterns in text at a scale many orders of magnitude beyond a mind's capacity, and this can be very revealing, but to do so this algorithm need not read the text with comprehension.
Regarding the question: can genAI be enhanced to reason? The answer is assumed to be "no", due to the categorical opposition of the two kinds of complexity and the lack of understanding of structures within genAI to handle the reasoning.
Read the article, which includes other examples including a jump from Newtonian to Einstein physics in the history of astronomy, and a noodling on how to talk about the edge of the unknowable in AI.
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