@mrundkvist Most of these subsidies go to the traditional (and expensive) air carriers. Ryanair, which is the low cost king, is very famously anti-subsidy. Sure, there's some subsidization for airports and specific routes that governments care a lot about, but it's not like rail isn't subsidized either.
Rail is so inefficient that even cars are often cheaper. If you have 2 or more people in a group, especially if they're on a normal ticket, it's often cheaper to go by car than by train. A car can seat five, a train can seat hundreds and runs on efficient tracks instead of inefficient roads. It's all just utterly ridiculous.
miki
@miki@dragonscave.space
mastodon
4.5.7+glitch
blind coder / comp-sci student, working in automatic speech recognition for CLARIN. Polish. Libertarian leaning. Feel free to get in touch.
0
Followers
0
Following
Joined April 25, 2021
Twitter:
@mikolysz
Posts
miki
@miki@dragonscave.space
blind coder / comp-sci student, working in automatic speech recognition for CLARIN. Polish. Libertarian leaning. Feel free to get in touch.
dragonscave.space
0
2
0
miki
@miki@dragonscave.space
blind coder / comp-sci student, working in automatic speech recognition for CLARIN. Polish. Libertarian leaning. Feel free to get in touch.
dragonscave.space
@mrundkvist If you explained to them that most air travel is done by private companies who are constantly in a state of fierce and brutal competition, whereas most train travel is either done by the government or over-regulated public-private monopolists with 0 competition... they'd nod their head in understanding.
0
2
0
miki
@miki@dragonscave.space
blind coder / comp-sci student, working in automatic speech recognition for CLARIN. Polish. Libertarian leaning. Feel free to get in touch.
dragonscave.space
@lucydev @KatS Curl is closing their bug bounty program because it's far too easy to use LLMs to produce slop. It doesn't mean you can't use LLMs to produce non-slop, just that it is a technique some people have found to get money with not too much effort, and we haven't yet sufficiently adapted to it. This is a genuine problem.
0
0
0
miki
@miki@dragonscave.space
blind coder / comp-sci student, working in automatic speech recognition for CLARIN. Polish. Libertarian leaning. Feel free to get in touch.
dragonscave.space
@lucydev @KatS I have very specifically said "unseen questions."
If memorizing answers was a viable strategy to pass that test, humans would have done so.
If you still believe that there's no possible use for a tool that can get gold on a never-before-used set of math olympiad question given a few hours of access to a reasonably powerful computer, and that the existence of that tool will have no interesting impact on the world... I don't know what to tell you.
If memorizing answers was a viable strategy to pass that test, humans would have done so.
If you still believe that there's no possible use for a tool that can get gold on a never-before-used set of math olympiad question given a few hours of access to a reasonably powerful computer, and that the existence of that tool will have no interesting impact on the world... I don't know what to tell you.
0
2
0
miki
@miki@dragonscave.space
blind coder / comp-sci student, working in automatic speech recognition for CLARIN. Polish. Libertarian leaning. Feel free to get in touch.
dragonscave.space
@lucydev @KatS Autocorrect on steroids is basically GPT-3 tech. There's a lot more that goes into modern LLMs. A lot of the improvements are due to reinforcement learning, where LLMs learn to predict tokens that actually achieve some outcome, E.G. code that passes tests, answer that is judged "good" by a domain expert. There's still token prediction involved of course, but it somehow turns out that token prediction can get better scores than any human at (unseen) math olympiad questions. And people still say it's not in any way intelligent...
0
4
0
miki
@miki@dragonscave.space
blind coder / comp-sci student, working in automatic speech recognition for CLARIN. Polish. Libertarian leaning. Feel free to get in touch.
dragonscave.space
@lucydev @KatS Nothing is ever gonna work right, not even humans. Different technologies are at different points on the price-to-mistakes curve, our job is to find a combination that minimizes price while also minimizing mistakes and harm caused.
E.G. it is definitely true that humans are much, much better psychologists than LLMs, but LLLMs are free, much more widely available in abusive environments, speak your language, even if you are in a foreign country, and work at 4AM on a Saturday when you get dumped by your partner. Human psychologists do not. Very often, the choice isn't between an LLM and a human, the real choice is between an LLM and nothing (and the richer you are, the less true this is, hence the "class divide" in opinions about tech). And I'm genuinely unsure which option wins here, but considering the rate of change over the last 3 years, I woulndn't bet towards "nothing" winning for long.
E.G. it is definitely true that humans are much, much better psychologists than LLMs, but LLLMs are free, much more widely available in abusive environments, speak your language, even if you are in a foreign country, and work at 4AM on a Saturday when you get dumped by your partner. Human psychologists do not. Very often, the choice isn't between an LLM and a human, the real choice is between an LLM and nothing (and the richer you are, the less true this is, hence the "class divide" in opinions about tech). And I'm genuinely unsure which option wins here, but considering the rate of change over the last 3 years, I woulndn't bet towards "nothing" winning for long.
0
0
0
miki
@miki@dragonscave.space
blind coder / comp-sci student, working in automatic speech recognition for CLARIN. Polish. Libertarian leaning. Feel free to get in touch.
dragonscave.space
@lucydev @KatS The more you know about LLMs, the more "calibrated" you are about where they work (and don't work) right now. People who don't know much about them are either hypesters (mmaking a company of a thousand LLMs and firing all their employees), or LLM deniers. Both are just as crazy.
I also see not just where LLMs are right now, but where they are going. We went from coding agents being basically a joke a year ago, to them semi-autonomously solving (some) complex mathematical problems and being used for boring gruntwork by world-class, fields-medal-winning mathematicians. They can now also solve an extremely complex GPU performance engineering task that Anthropic used as an interview question for the most brilliant engineers in that discipline, *better than any human given the same amount of time*.
They're still much better at small, well-scoped and bounded tasks than at large open-ended problems, but "small and well-scoped" went from "write me a linked list implementation unconnected to anything in my code" to "write me a small feature and follow the style of my codebase." In a year. What will happen in another year? 5 years? 10 years? God only knows, and he certainly isn't telling.
I also see not just where LLMs are right now, but where they are going. We went from coding agents being basically a joke a year ago, to them semi-autonomously solving (some) complex mathematical problems and being used for boring gruntwork by world-class, fields-medal-winning mathematicians. They can now also solve an extremely complex GPU performance engineering task that Anthropic used as an interview question for the most brilliant engineers in that discipline, *better than any human given the same amount of time*.
They're still much better at small, well-scoped and bounded tasks than at large open-ended problems, but "small and well-scoped" went from "write me a linked list implementation unconnected to anything in my code" to "write me a small feature and follow the style of my codebase." In a year. What will happen in another year? 5 years? 10 years? God only knows, and he certainly isn't telling.
0
4
0
miki
@miki@dragonscave.space
blind coder / comp-sci student, working in automatic speech recognition for CLARIN. Polish. Libertarian leaning. Feel free to get in touch.
dragonscave.space
0
4
0
miki
@miki@dragonscave.space
blind coder / comp-sci student, working in automatic speech recognition for CLARIN. Polish. Libertarian leaning. Feel free to get in touch.
dragonscave.space
@lucydev @KatS Because I use it every day, and I can see how much it helps. And to be fair, it primarily helps people who get X done, not the doers of X. Just as automated telephones primarily help those who want to make phone calls (by making them cheaper, faster and much more convenient), not the phone operators who helped to make them in the past.
0
4
0
miki
@miki@dragonscave.space
blind coder / comp-sci student, working in automatic speech recognition for CLARIN. Polish. Libertarian leaning. Feel free to get in touch.
dragonscave.space
0
2
0
miki
@miki@dragonscave.space
blind coder / comp-sci student, working in automatic speech recognition for CLARIN. Polish. Libertarian leaning. Feel free to get in touch.
dragonscave.space
@KatS @lucydev It democratizes in the public transit way (by making transport available to non-drivers), not in the car way (by making it easy).
And btw: all art is uncredited and a lot of it is unconsensual. Outside of academia, it's extremely rare to credit every single influence that an artist used, down to Da Vinci or the Gregorian chants, as long as snippets significant snippets aren't extracted directly from that work, something that AI only does when prompted.
And btw: all art is uncredited and a lot of it is unconsensual. Outside of academia, it's extremely rare to credit every single influence that an artist used, down to Da Vinci or the Gregorian chants, as long as snippets significant snippets aren't extracted directly from that work, something that AI only does when prompted.
0
2
0
miki
@miki@dragonscave.space
blind coder / comp-sci student, working in automatic speech recognition for CLARIN. Polish. Libertarian leaning. Feel free to get in touch.
dragonscave.space
@lucydev sometimes that's the right call, particularly when you want to find out what users like and you don't yet know what you're building. It very often isn't.
0
2
0
miki
@miki@dragonscave.space
blind coder / comp-sci student, working in automatic speech recognition for CLARIN. Polish. Libertarian leaning. Feel free to get in touch.
dragonscave.space
@lucydev I think we're painfully re-learning the lessons we learned in programming over the last 70 or so years with AI, just like crypto had to painfully re-learn the lessons that trad fi got to learn in the last five hundred years.
Yes, you can 20x your productivity with AI if you stop worrying at all about architecture and coding practices, just like you can 5x your productivity without AI if you do the same thing. Up to a point. Eventually, tech dept will rear its ugly head, and the initial gains in productivity will be lost due to the bad architectural decisions. Sometimes that
Yes, you can 20x your productivity with AI if you stop worrying at all about architecture and coding practices, just like you can 5x your productivity without AI if you do the same thing. Up to a point. Eventually, tech dept will rear its ugly head, and the initial gains in productivity will be lost due to the bad architectural decisions. Sometimes that
0
2
0
miki
@miki@dragonscave.space
blind coder / comp-sci student, working in automatic speech recognition for CLARIN. Polish. Libertarian leaning. Feel free to get in touch.
dragonscave.space
@lucydev I see putting a prompt into AI and hoping that the generated code is correct as a bad idea, especially in complex apps that have long-term maintainability considerations, or when security / money / lives are at stake.
For throwaway projects (think "secret santa style gift exchange for a local community with a few extra constraints, organized by somebody with 0 CS experience", vibe coding is probably fine.
For professional developers, LLMs can still be pretty useful. Even if you have to review the code manually, push back on stupidity, and give it direction on how to do things, not just what to do (which is honestly what I do for production codebases), it's still a force multiplier.
For throwaway projects (think "secret santa style gift exchange for a local community with a few extra constraints, organized by somebody with 0 CS experience", vibe coding is probably fine.
For professional developers, LLMs can still be pretty useful. Even if you have to review the code manually, push back on stupidity, and give it direction on how to do things, not just what to do (which is honestly what I do for production codebases), it's still a force multiplier.
0
4
0
miki
@miki@dragonscave.space
blind coder / comp-sci student, working in automatic speech recognition for CLARIN. Polish. Libertarian leaning. Feel free to get in touch.
dragonscave.space
@lucydev It democratizes it by making it available for the people who can't / don't want to / don't have the time for learning it.
We're already seeing non-programmers successfully create quite substantial coding projects with AI, to an extend which surprises even me, who was a huge proponent for AI in coding from the start.
Same applies to art, there are many people who need or want art (small business owners, hobbyist game creators, wedding organizers, school teachers), but don't have the budget for the real thing.
Of course, many artists and programmers don't want this to happen and try to invent reasons why this is a bad idea, just as phone operators didn't want the phone company to "force" customers to make their own calls, and just as elevator drivers tried to come up with reasons why driverless elevators were unsafe.
We're already seeing non-programmers successfully create quite substantial coding projects with AI, to an extend which surprises even me, who was a huge proponent for AI in coding from the start.
Same applies to art, there are many people who need or want art (small business owners, hobbyist game creators, wedding organizers, school teachers), but don't have the budget for the real thing.
Of course, many artists and programmers don't want this to happen and try to invent reasons why this is a bad idea, just as phone operators didn't want the phone company to "force" customers to make their own calls, and just as elevator drivers tried to come up with reasons why driverless elevators were unsafe.
0
6
0
miki
@miki@dragonscave.space
blind coder / comp-sci student, working in automatic speech recognition for CLARIN. Polish. Libertarian leaning. Feel free to get in touch.
dragonscave.space
@crazyeddie@mastodon.social @briankrebs@infosec.exchange I understand all of that, my question was about how the initial infection occurs.
0
0
0
miki
@miki@dragonscave.space
blind coder / comp-sci student, working in automatic speech recognition for CLARIN. Polish. Libertarian leaning. Feel free to get in touch.
dragonscave.space
@Mer__edith How are you fighting abuse on Signal, when you have no access to metadata or message content?
With your tech stack, is it possible to e.g. detect new accounts which immediately send a deluge of messages to thousands of users?
With your tech stack, is it possible to e.g. detect new accounts which immediately send a deluge of messages to thousands of users?
0
0
0