>>> As one final note, I don't think the rhetoric about the AI bubble is really about finances. Conversation about the AI bubble is too widespread for it to be a contrarian position, and too gleeful to be driven by investors' fear. More than anything, I think the supposed AI bubble has become such a large talking point because it represents the hope that things can go back to how they used to be. People are afraid of what's going to happen with AI, and rightfully so. Beyond fear for the future, AI in the present has become uncomfortably common, with AI slop everywhere online and increasingly even IRL. This has all happened so fast, it's easy to forget that ChatGPT came out a little less than 4 years ago. Our world has changed in such a scary and odd way, and while I have a pretty optimistic view of AI overall, I get why people would want it all to go away. So, people wishcast. They tell themselves that this is all a giant bubble, and one day soon, everything will crash down and immediately go back to how it used to be.
And on a personal note, this probably goes against all economic theory, but I think the larger the scale gets of money, the less "real" it becomes. The US national debt is $40.5 trillion. I personally don't think a fraction of that will ever really be paid. There are rich and poor, but once you become rich, that added richness is essentially useless, and the debt we see is a mixture of money missing from the poor person's wallet, or the money missing from a billionaire's portfolio. One of these is more sensually palpable than the other.
If your product is good enough, shows potential, and has meaning, it will get funding. I have never done a startup or gotten venture capital so it's pretentious for me to say, but I think the money just comes, through effort (and I think 100's of pitches for the new startup), and we can't always know from where. It's just there. My brain is too small to consider where that money comes from. We're not valuing money at a certain point, but just sheer utility, and so investors will be there to back you up. In decades-long terms, sometimes centuries-long.
The debt will keep building up, but so will be our infrastructural changes. Early adoptees will get rich to degrees, and investors who held a conservative view on major progress like AI (will still be rich but) will be slightly less rich. Maybe there will be unpaid debt, like the 500 billion incurring a $400 billion loss during the dot-com crash. But the technology will continue growing.
After all, money doesn't mean anything anyway (in the theoretical sense).
It buys us soup, clothes, and a place to pay rent to, but it is just an agreement. And with the changes in the world economy that some of us are expecting to see after the AI revolution grows even more, I really don't know what the meaning of money will become.
Along with this it has an amazing soundtrack. Composed by Ramin Djawadi, the same person behind the OSTs of Game of Thrones (now House of the Dragons), Westworld, Pacific Rim and others. Extremely talented and one of my favorite musicians.
I remember that I quit watching the show, some where in season 2 I think, because of the repetitive theme you just described, but I'm glad I stuck through. One of my favorite shows and favorite soundtracks to date; still listen to the Root themes from time to time.
The sound track is exceptional, they also use some really tracks/songs from other artists, that was how I discovered Digitalism and they have perhaps the best use of Johnny Cash's "Hurt" cover I've seen (that episode is one of the best among many great episodes, for the ending).
I think it's the future for prompt-based engineering honestly. I employ it myself too. I Keep a prompts file, either for sharing or looking back at it. I think Open Source Software should adopt it in their repos for a. transparency and b. learning material for the future.
Not really related to the topic, but AI-popular sentences and language structure stand out to people right away these days right? I noticed some.
"If you cannot update yet, at least disable password logins: set PasswordAuthentication no in your sshd configuration and restart sshd. Either one closes the hole." (only AI would characterize a critical SSH implementation vulnerability as a hole closing game)
An attacker who can reach your SSH port can log in without knowing any password. It takes one connection, works every time, and needs no retries. (It sounds like the writer is bragging about the exploit instead of describing it. AI does this)
The attacker needs the name of an account whose password field is * (an account with no password set, which is normal for key-only accounts), and needs the machine to have at least one other account with a $5$ or $6$ password hash. The attacker then sends a very long password (257 to 1024 bytes). One user with a password is enough: it makes every account without one reachable. (same as above made stronger with the 'statement: statement2' format)
"Users coming from a directory service through musl-nscd (nslcd, winbind, sssd), since they have no shadow entry." (a human would be more clear about what a shadow entry is and give more context, I think)
Hmm the rest of the article (the remaining 70-80%) seems quite human.
Anyway, not sure why I spent 10+ minutes on this. It just jumps at me right away.
An aside but one nice thing I realize about not using LLMs is, I guess, I am not tortured by this kind of thing, because presumably I am not seeing it all the time. I can't even imagine quite being in the mode of reading this kind of text so closely like this, really. Its a security advisory, I don't really have my critical prose-reviewer hat on.
As a grad student I read and graded a lot of student philosophy papers (well before LLMs), and I just remember the exhaustion of it. It made me appreciate how much I could otherwise just read something, get information or enjoyment out of it, and not focus on each sentence construction.
Just to say, I do believe you, I get that if you have to put up with it so much in general, it must prime you to find it everywhere. You have to read so much more now, I'm sure, so you're trained to be in that mode. It makes sense! I am just sorry its like this for you and most everyone else now. It sounds exhausting.
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