running `pkg install git-annex` on termux. What a nice surprise! #gitAnnex already could be installed on termux, but now it's part of their distribution
the score is the classifier's estimated probability for the AI-generated class based on its training distribution. However, we shouldn't interpreted it as a general probability that the text was written by AI.
Nuclear energy is the safest form of energy empirically. If you look at the amount of power generated versus the amount amount of deaths, um it's even safer than solar, which is very strange because how does someone die from solar? that actually most solar is installed on roofs and people sometimes die falling off of a roof installing solar and if you add those deaths up it is actually a higher death per energy than the totality of nuclear energy in the world.
Um, and sometimes that's because the model is trying to do something it doesn't have a lot of experience doing. So it's been trained on a whole set of things and as soon as you get a little bit off the distribution of things it knows how to do then like most machine learning models it will you know its performance will suddenly will start to degrade and the farther you get off the comfort zone of what it knows how to do the the more likely it is to to not work as well.
I think the challenge is that everyone can now build apps But 1) almost nobody has distribution (like an audience), or 2) the money to pay for distribution (ads or UGC), or 3) the creative genius to get distribution for free (classically called guerilla marketing)
Their words now
I thought it'd be distribution but who knows, obviously creativity and ideas, but if you can copy a successful app in an hour, then how does that differentiating work?
Distribution has to be part of your product and part of baked into the strategy deeply and and proven from the beginning. And if you're just building this product and hoping they will come, hoping it'll spread virally or word of mouth, you know, that's hope strategy, you know, not a belief strategy.
So, you have to think about the full the full thing you're trying to build not just the one piece even though that's what you might remember. You have to remember it's it's a it's a system that you're going to innovate with.
And I think people don't spend nearly enough time thinking about, you know, distribution and figuring out distribution. And that seems to me uh to be a huge differentiator.
What I would say is that you know we are we are about to be in a world where growth and economic value will come very easily. If right if we're able to build these powerful AI models, growth and economic value will come very easily. What will not come easily is distribution of benefits, distribution of wealth, political freedom, um you know, these are the things that are going to be hard to achieve.
the shift from 50th to 99th percentile earnings has no negative effect on women’s fertility, and unearned income for women has a neutral-to-positive effect
Decades of grading data; standardized test scores; cross-sectional, longitudinal, observational, and experimental studies; along with many other types of ancillary and convergent evidence, ultimately tell the same story: education can raise the absolute performance of most students modestly, but it almost never meaningfully reshuffles the relative distribution of ability and achievement
One performance anti-pattern is when a company, to debug one performance problem, installs a monitoring tool that periodically does work and causes application latency outliers.
Do you have enough data to make simulations, so that you can create more synthetic data that are from the right distribution? Obviously that's the key. So you need enough real-world data in order to be able to create those kinds of data generators, and I think that we're at that step at the moment.
The main argument they trotted out in that article was that we don’t need more high-yield agriculture because we don’t need more food, just better distribution of the food we already have. That’s wrong
First and foremost: Perfect scores should be vanishingly rare. Instead of clumping the best candidates together, you should be able to clearly distinguish the 99th percentile from the 99.9th, 99.99th, and so on.
There's some research that shows that the distribution is actually the limiting factor. So language models haven't yet made misinformation particularly change the equation there.
The platforms have installed themselves in a position of power, but they are also vulnerable. They must do everything perfectly to maintain that position of power—not enrage their users too much, not push the regulators too far, not miss any of those competitors who are seeking to take a portion of that power.
I use Sendy for newsletters. It's a self-hosted service which uses Amazon Simple Email Service. It's written using PHP and thus it needs the LAMP stack to be hosted. I use a DigitalOcean droplet with the LAMP stack installed to host it.
Installed generators cost ~$800/kW, and the data center capital cost, including servers, is ~$40,000/kW, so adding 1% more makeup compute capacity is money ahead of purchasing generators.
The 100-megawatt facility might have ten 10-megawatt blocks served directly by a 1500V DC feeder line without connections to other blocks that would require extra switches and routing.
Your product might be great, but how do you get it on the shelves of Walmart? Or how do you get it on the shelves of Google? Because if you're not on the shelves of Walmart, you're not on the shelves of Google, you might be invisible. And it's friction that kept you there, not some sort of merit contest.
A platform operator can effortlessly change the distribution of surpluses in an instant, while suppliers and customers have to engage in minute, time-consuming and unreliable Platform Kremlinology just to detect these changes, much less understand them.
And beyond that, by the time solar scale has doubled 4 more times, to the equivalent of 16% of today’s electricity demand (and somewhat less of future demand), we should see solar at 3 cents per kwh in the sunniest areas, and 4.5 cents per kwh in moderately sunny areas.
Their words now
Both of those forecasts were wrong. Solar has plunged in price faster than anyone – including me – predicted.
All of the above are installed using Homebrew and Homebrew Cask. Take a look at my Brewfile in my dotfiles for more info. This allows me to move to a new machine and be up and running incredibly quickly.
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