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  • how long until the too-big-to-fail bubble bursts so I can buy a hard drive again?
    by ck2
  • > so I can buy a hard drive again

    Well, that is unless the burst also brings a general collapse. Some are seeing similarities with 2008.

  • Yet OpenAI and Anthropic combined are somehow making $100B in revenue...
  • And yet two orders of magnitude from making a profit…
  • Source?
  • What's the source for that? I see a combined revenue of ~33B by looking on the Internet. And we should assume that that's after some crazy financial juggling
  • Enron was doing really well with creative accounting too. Non-GAAP numbers are out of control in 2026. The unwinds are going to be stunning eventually. Also, my small portfolio is worth a billion! In Yen, but it’s still an accurate claim.
  • Yea, that tracks. I just looked it up and AWS made ~130bn.

    Given how big AI is, and how those two are pretty much the only players (in comparison aws is 1/3 market share), that seems about right.

    It's a far cry from "nobody's going to be writing any code, and ai will do all the things in 6 months".

  • It does take a bit of tokens and some thought to get a workflow that produces output in a way that works for the user. Simple youtube "ai workflows" and you will be inundated with options.
  • I work in a large corp, I thought it was odd to be encouraged to spend as much money as possible regardless of outcome. Like folks down the ladder a few rungs actually had AI use as part of their KPIs. Didn’t matter what they used AI for they just had to use so many tokens per week or their EOY bonus “could be affected”.
  • Agree, though there’s something to be said about many engineers dragging their feet hard on AI, and now very few are. Some of that is forcing them to try and learn how to use it.
  • Alternative to archive.is

    No Javascript, text-only

          tnftp -4o "|grep -o '<p>.*</p>' \
          |tr -d '\134' \
          |sed '1s/^/<meta charset=utf-8>/'" \
          https://assets.msn.com/content/view/v2/Detail/en-in/AA28DBlh > 1.htm
    
          firefox ./1.htm
          #links 1.htm
          #elinks 1.htm
  • If you sell "AI" maybe, if you sell products that happen to use LLMs to provide services previously not possible, the money still exists in my experience.

    When I first heard of tokenmaxxing, I thought it had to be a joke. But no, it turned out to be a widespread phenomenon. I still cannot believe that was a thing.

    What I keep saying in internal meetings is: "I am so glad these people are this bad at deploying these tools." It really leaves the door open for folks like us.

  • It’s a forcing function. If you are running a company you need to be in control. Some engineers dngaf or will sandbag everything.

    We did a 90 day push and identified where we found value and where we didn’t. Our tools teams really upped their game, more than expected, and it would have been unlikely to have been funded if they tried to justify the budget as an individual initiative.

    There’s a spectrum of people - some folks are building rando apps for fun with LLMs, and many don’t really know what’s possible becuase they don’t or can’t invest in the subscription to really use the tools at home.

  • There's very little that wasn't possible before LLMs, because, well, you still had humans. There are many things that the models promise to make a lot cheaper, if you're willing to accept trade-offs, but these trade-offs can be quite severe.

    Many of the most successful applications of LLMs are fields that were already terrible. For example, LLMs are a natural fit for customer support. And somehow, it's also a natural fit for software engineering, which I suppose is an indictment of our field... who cares if a model comes up with a bad architecture or a product that only kinda-works, that's how we always rolled.

  • Everytually there needs to be a stronger enforcement of "right model for the task". The landscape currently lends itself to flexibility. And people tend to lean on the more costly options expecting a better end result.
  • Never spent more than 40 euros per month on the base plans for Claude and OpenAI. And I’m doing 10x the amount of work I did before. As long as my computer isn’t running at night as well, I’m not upgrading.
  • Are you making 10x more income for yourself?
  • What are you doing if you might share ? Edit: 10x sounds like a lot so I wonder which work you do to achieve such a multiple with a simple 40€ subscription.
  • Same experience. There was a period where Claude was burning through it's limits very quickly (~2 months ago?), but other than that, the $20/month plan is enough to do loads of work+personal coding. I am curious what workflows people are using that requires the expensive plans, and what they're building/maintaining.
  • The only path forward is to get LSD into the water supply at Davos and put on a really scary play about Rokko’s Basilisk for all the money people, or else Sam Altman won’t be able to afford to repair his infinity pool
  • Call it "Roko's Modern Life"
  • They need a new acronym: AGI -> ASI -> Artificial Mega Intelligence AMI? Maybe go back to AGI but make it mean Artificial Godlike Intelligence?

    It's too bad Altman already blew his wad with the whole Dyson sphere thing. It's hard to top that. Maybe he can promise them a paperclip universe? That's gotta be worth a few more trillion.

  • Nowadays I don't understand why you wouldn't use a (more-or-less) nearby hosted Chinese model. You have the security, you have roughly the same performance, and you have an order of magnitude more bang for your buck. Bonus point : the models aren't censored and won't refuse to answer in the middle of your coding session.
  • What model would you suggest?
  • China bad. Or if you want to rationalize your xenophobia, you’d say the Chinese models will secretly backdoor your code and kill your grandma.
  • The barriers for me are lower quality (perceived and actual), upfront cost, and more choices to make.
  • The Chinese models are only temporarily cheaper, because they are subsidised the same way that frontier models are. Once those companies need to make money the subsidy will disappear.
  • How does it connect to let's say, vscode. I would love to move away from Claude, but it's really easy to set up. Just add a vscode extension