101–110 of 154 posts
>Corporate leaders are starting to question whether soaring AI spending is delivering meaningful returns. We should start to question whether soaring CEO salary spending is delivering meaningful results.
Overheard recently: "Thanks to AI we're producing more code and more MRs, faster than ever, but the milestones aren't getting hit any sooner. Actually the opposite, if anything." I wonder how widespread that phenomenon is. Perhaps it's no wonder the prominent actors are trying to rush to IPO...
If that's the case, then I do expect the AI bubble is going to pop spectacularly next year as token budgets are going to collapse. The damage to the tech industry is going to be catastrophic. If you think the job market is bad now, wait until data center spending goes off a cliff.
Earlier quoted context omitted.
Are you saying that making a leaderboard of who is spending the most is going to be expensive? They couldn't see that coming, but for sure they can predict how the future will be when it's time to sell their "visions" of the world. Meanwhile, sheep's are going to believe and max their token usage with their own wallet. "You are so be left behind if you're not". It's a mass psychosis. The only winners here are the har…
The other day I had to read a C-suite guy share how he had an epiphany that spending more tokens did not linearly align with more useful features being output by the teams. He was describing it as this breakthrough moment for him, as if it wasn't glaringly obvious that making the KPI "spend more tokens" would result in inefficient token spending, not massive value for the customer. It's baffling how these people have…
Sure most token burning ends up being a waste but some ideas pan out?
Not disagreeing but it's another way of looking at it IMO
Earlier quoted context omitted.
Codex is actually significantly better than Claude Code now, assuming you have a clear idea of what you want to do and how. Claude's secret sauce is that it'll run off and do stuff that's mostly right without a lot of prompting, but that also makes it willful/disobedient and causes it to be bad for "finishing" work, since it'll circle around your objective in an opinionated way. https://finance.yahoo.com/sectors/tech…
Hey, would you mind elaborating a bit on this: > assuming you have a clear idea of what you want to do and how I mean, if I have a sufficiently clear idea of what and how, then surely just coding it manually would work significantly better. Unless maybe I am a painfully slow typer. Without some level of "actually I'm not sure exactly" permitted, then I'm not really sure what LLMs bring to the table.
If you're just working on a single react component or an algorithm to do stuff with data, there's less chance to amortize the up front planning and verification so it comes out more of a wash.
Just a week ago, Anthropic barely breaking even was hailed as AI companies being close to profitability much earlier than forecast. In fact it is all smoke and mirrors, pure mania from C-level executives out of their depth trying to one-up each other with company money, and they aren't even close.
https://www.iheart.com/podcast/1119-better-offline-150284547...
We use GH Copilot at work and this week sat for a presentation by GH about optimizing token usage and maximizing ROI on tokens used. Anyone else get this presentation? They didn’t have time for questions because they had to run and give it to the next big enterprise on their list… They basically said that everything is too expensive, you have to watch it like a hawk. It was as if they poured a bucket of cold water on…
Just hire people and pay then a fair wage and let everyone get richer together ffs When did American capitalism become such a zero sum game
Despite all of the problems that exist were still the best off.
>Corporate leaders are starting to question whether soaring AI spending is delivering meaningful returns. We should start to question whether soaring CEO salary spending is delivering meaningful results.
Overheard recently: "Thanks to AI we're producing more code and more MRs, faster than ever, but the milestones aren't getting hit any sooner. Actually the opposite, if anything." I wonder how widespread that phenomenon is. Perhaps it's no wonder the prominent actors are trying to rush to IPO...
That's exactly what's happening. Many claim they are more productive with AI, but individual rise in productivity just doesn't translate to projects being completed any sooner. And by "projects", I mean corporate ones with big teams involved. Hobby projects actually do get finished much faster.
To further complicate matters, you had to spend on AI software and potentially additional on legal/risk/security/compliance to enable that.
The smaller the company, the bigger that % of coding is of total time (all the way down to hobby where the majority of time is spent coding)
>Corporate leaders are starting to question whether soaring AI spending is delivering meaningful returns. We should start to question whether soaring CEO salary spending is delivering meaningful results.