I think Darknet Diaries covers a bunch of these types of heists involving banks.
I suspect they just assess vulnerabilities and exploit them when/where they can. My understanding is that these thefts are big part of their (NK) economy.
Im trying to disentangle from the llms and get back to writing code and thinking for myself again, and so i am finding myself back on stack overflow and its like a ghost town.
This is so good. Here's one stand-out line (of many) to me:
> And as for whether it replaces or disrupts anything good that already exists, I will only say that I have watched it, in a very short time, begin to replace the patient work of learning, the slow formation of judgment, the friendship of teacher and student, the labor by which a writer finds out what she thinks. These are things that, once lost, are not quickly recovered.
theory: there are two groups that a lot of hackernews commenters fall into. And these two groups clash on every Ai post every day. One camp only uses Ai to write code and thinks of them strictly as LLMs with a clearly understood design and purpose but that show some surprising behavior, they've watched youtube videos that show how everything ties together computationally and mathematically, from neural nets to RL, etc. and dont see them as capital A, Ai. It's another tool in the toolbox, and thinking about them in the way you describe, as something closer to capital Ai would cause severe cognitive dissonance, akin to the idea that a hammer could hop out of the toolbox and start building a house. Even though what you've done is just take one small step of critical thinking, it would be a leap to the other camp members, who are themselves, quite technical thinkers.
Essentially, I try to catch movies in the theatre. I don't think I was watching a ton of streaming only stuff, because I haven't been aware of myself missing out on anything, but maybe that just wasn't part of my routine. But we did drop from like, disney, hbo, netflix, to nothing, and I just dont miss anything about them. Oddly enough, the other members of my fam who were hesitant also are happy about the transition at this point.
I quit all streaming services about 6 months ago and am strictly on CD's DVD's and records. I recommend it. The library has a ton of stuff, and if enough demands comes back maybe dvd shops will open back up. Its really nice, no ads, no data mining, no supporting awful streaming services, no subs, finite choice. Again, I recommend it.
that's all i see as well: self surveillance. when I read other comments like "the family in this ad is exactly like mine" or "oh if it had app store access then itd be great" it makes me think of that scott alexander essay "i can tolerate anything except the outgroup" where he makes the analogy of living side by side with people who exist in entirely separate and impenetrable social bubbles, like light and dark matter.
Is a special hardware setup required to run open weight models? It's not clear to me from the article. Also, what does paying for inference mean? I thought the inference step happened during the training of the models, and that by the time I am interfacing with an LLM all the inference has been long done.
Makes me wonder what is going on in the Dilley Detention Center (and others) and if we will find out of atrocities only after they are shut down and the people detained are released back into the population.
I'm wondering how this plays out in the interview process though, just a year or two ago it was still leetcode and hours upon hours of technical interview. Has that changed in the context of LLMs? If you were hiring, how would you go about it? Does knwoing python really matter anymore? In my shop it 100% does not, and I'm guessing that in the 75% of posts in Who's Hiring that are for Ai startups it also does not, just curious to find out if thats true.
I would not be surprised if an LLM could have generated this conjecture, since it's such a natural extension of the integers, does it hold for surreal integers is not a big leap. It's totally predictable / probabilistic and thats what they do at a high level.
My read on the current sitch is that the drama is more around the humans behind the LLMs, like the OpenAi *people*, who are dishonest, thieving, technocrats, stealing human mathematicians work and claiming credit for it. Since the LLMs are only trained on finite amounts of data on the internet I don't think anyone expects them to replace mathematicians in a serious way. But surely the field is changing dramatically, people will adapt.
My experience has been similar; I find ChatGPT to be much stronger and more precise at math and in communication. I also can not do better with a multiple agent flow than I can with a single agent.
This is the first attempt I've seen that seems to be working. I like that it's just a acting as a filter and the comment section is linked to the hackernews source. It's really satisfying to not see any Ai bs. I do like how hackernews is limited to 30 front page posts.
I know surveillance is on par in the UK, but is the UK also building and populating massive detention centers where people are kept without due process*? Are they flooding the streets of liberal cities with soldiers*? Killing citizens on the streets of liberal states (Minnesota) out in the open? Has nationalism completely overtaken the government and citizenship? Has the opposition party been completely neutered? Does your leader openly break any laws of their choosing while plundering national coffers?
> Republicans might as well rename their party the Democratic Fascists of America at this point.
I'm reading Stefan Zweig right now, he was a prolific Jewish author from 1890s until his suicide in 1942, living as an exiled Jew from Austria in South America. He has written many words, over a century ago, that would support your claim.
Noob friendly, I believe was the implication. Perhaps an implication that on average, the young are more attracted to the surface level ui features that omarchy amplifies, and the easyness of the installation. For us older heads, we also got into linux quite young, but there were not options for easy install, so the install was an integral part of the process that forced you to somewhat deeply learn your machine inside and out, and for me at least, that became a huge part of the appeal. Anecdotally, when i did my first install off a red hat disc in 1995 at age 14, i could not figure out how to configure xwindows so i just gave up and spent 4 solid years in the terminal. This was a formative experience in my life, and one that I would have missed out on if i started with omarchy.
This was the answer I was looking for. You're reminding me that existence of infinity is an axiom, like parallel lines dont intersect. We can remove that axiom and get a new mathematical framework, but by their nature, axioms are not something to prove or disprove.
A while back I realized that it was just the browser keeping me on screen when I didn't want to be. I switched to the purely native Safari app on my phone, from a highly customized ad blocking browser, with lots of content filtering. My screen time dropped from like 2 hours a day to like 10 minutes.
In the end, LLMs create garbage code that no one understands, they break things that should not have been broken, that would not have been broken if it was done slowly with understanding along the way. To reframe it as "understanding is the bottleneck" is just more LLM salesmanship. LLMs have their limits and when you hit them you're stuck. LLMs are the bottleneck. But the idea that "LLMs are the answer to the problem created by LLMs" is absurd.