2,092 karma · joined December 29, 2022
Good riddance.
This has been a well known vulnerability for years but considered too complicated to exploit. It is the type of work that would have taken an expert weeks to hack into a single system and the idea that an AI can speed this is up is not unfounded but currently without evidence.
Yes, the attack surface is huge but when compared to Log4J this is materially more difficult to execute and the countless PoC that have been seen were AI slop.
As a security expert I see why you would not want to downplay this, but I think the involved actors have all the incentive to use this for their typical messaging.
As a tech community we have a greater responsibility to not be driven by hype but understand what is going on and let make ourselves some tools and be swayed by the messaging and instead talk about this in a more nuanced way. Perhaps I am wrong because I am not a cyber person myself but this all strikes me as similar to the whole Specter outrage.
I can't help but to be a little sobered by the promises of Kotlin and C#. They look great on the surface, but once you have more complicated code to work on they tend to show warts quite fast.
Java is remarkably consistent and really doesn't have any sharp edges. Even with generics and type erasure, I found myself fighting the language semantics in C# way more often than Java.
I know people with actual ADHD and some medication has helped them to function again and endure social exposure and even enjoy it. That doesn't change my impression that a vast amount of people see to identify with ADHD because it's currently a trend (remember the time when everybody thought they had OCD?).
Other than that, the field of psychology is constantly evolving.
I recall a popular claim several years ago that we all lived in a hologram (whatever happened to that?).
I bet this has nothing to do with string theorists trying to make their 2D models apply to actual physical observations…
You clearly have no idea about the value creation chain. Steel is a commodity, why shoot yourself into the foot by buying expensive one. And semiconductors are not commodities.
But I guess this logic only makes sense to a country that insists on using its own overpriced steel to save a couple jobs.
In a way I am happy I left so much to the imagination for open interpretation.
I think the problem of the Finns was that they really wanted energy independence and tge inly ones that were on the market were the french. No doubt the frenched used much diplomatic muscle to attract them as a first experiment.
And if I am not mistaken then for a long time energy prices in France were smaller than that of neighbouring countries.
But to be fair, it is difficult to tell what "profitable" means because a primary motivation has always been the development of nuclear weapons, so the true amortization is across industry and national security.
I am not going to study a whole book just so I can find the answer to a couple things I might never need. I like to focus on a few areas, learn everything I need to understand it, know if there are any dependencies and see what is there to discover and then move on.
I know many people get joy from learning knowledge that is not directly applicable and might never be applicable. And I know that the academic spirit would be to learn these things. But my time is seriously finite and I am not using math in my life in any fashion whatsoever other than occasional curiosity.
I loved mathematics when I was young and wanted to be good at it, but I got burnt so many times by teachers who could not explain even if their life depended on it.
Asking an LLM and discovering how different theories belong together and what are genuinely open questions, along with different philosophical interpretations has been a wonderful gift.
I have long accepted that Mathematics is a language where you must go "all in" because for the most parts institutions are fundamentally unable to explain it in an intuitive way. There are people who "just get it" and are blind to the struggle of people who need a different approach in learning it. There's something about the field where a generational survivorship bias has created an environment where math is mostly taught to likeminded people, who then don't see why anybody could not see the difficulties learning it.
I know this is not true everywhere, but the only reason I could finish my studies was because there are some genuinely excellent online lectures on youtube, along with massive support from friends who have already been through the ordeal.
If I had had access to an LLM, I could have actually taught myself from scratch and be more playful in learning it. And no, I am not willing to learn lots of math "for fun", I can think of better "for fun" things that actually help my profession and cater to my actual interests and not just some academic ideal.
Sorry, but this reads like a mouthpiece exactly from those companies that benefit the most from having no copyright and I doubt your have thought this actually through.