Observations from the enterprise side, where the hype train is starting to show cracks
There is a lot going on with the LLM businesses. The financial aspects are extensively & comprehensively covered, especially all the great work Ed has done.
The major AI labs have been in the news for "AI Safety/Security" and how they must ✨💅pace the frontier💅✨. Most of this narrative I believe, serves two purposes:
- Kill competition from open weight models and inference providers that host them. These models usually cost anywhere between 1/100th to 1/50th of the latest Claude Doopus or Claude Table offering.
- To ensure that LLMs and their output isn't perceived as substandard (which has greatly been the case, as of late), as it won't justify the absurd capex.
The future of AI Labs hinges on them maintaining exclusivity in this space, and by the mass incomprehension that this technology is ✨💅general intelligence💅✨ when it's anything but.
All this has caused AI-boosters to be extra confrontational and loud, even on the internet, like here on Reddit. It's not just the anti-LLM crowd they seem to be after this time. It's also the LLM users who refuse to use the latest and greatest Claude Doopus Table model, or buy 5-10 $200 Pro Max subscriptions to LLMs for making a single page website slop.
There is a side, especially on the enterprise, where I believe cracks are starting to show more prominently.
This is my third ever Q4 as a CTO, and it's the same thing I brace for, like every Q4 before it - soon, it will be budget season for enterprise, and it's exactly when AI companies are trying to slip an annual contract with free vendor lock-in™ to get a slice of our 2027 spend. My read based on the last few weeks, is that rising API prices mean that a significant lot of the LLM-wrapper companies are more desperate for cash than ever, like wasps just before the frost sets in.
I have an inbox full of invites from (very likely overpaid) sales execs to try out various LLM wrappers, proudly mentioning how their "solution" is powered by the latest Claude Doopus Table five point something.
I wouldn't want any of these things anywhere near a product I am responsible for. Besides the vendor lock-in™, the user experience is something I can only describe as grotesque, even for an ✨💅Agentic AI-native💅✨ product. We went from a chat integrated into a right panel, to getting rid of the code editor itself, or making it read-only. Any "solution" that tries to take away control & information from the user, is anything but a "solution".
An example I always highlight was a sales executive who found out what transpacific flight I was on, and subsequently got his seat changed to be right next to me, and used the "opportunity" to demo his Claude wrapper (because isolating a lone woman on a 14 hour flight while casually flirting with her is quite a sales strategy, amirite?🥰).
This piece of vibe coded hot garbage was just the disaster it sounds like - a Claude Doopus ✨💅agent💅✨ that interviews real humans on a videoconferencing call, and returns "insights". Who did it interview? What did it ask them? How did it arrive at its "insights"? Based on what data? Locked behind the "Enterprise" Plan at best, hidden away at worst.
Suffice to say, I would be among the small group of people outside those working in the AI Labs themselves, with free access to the latest Claude/GPT models. This especially matters because the same people who tell me that I'm making a mistake by not mindlessly adopting LLMs are the ones without the same amount of access that I have, or the same capacity to evaluate its output.
Here's a verbatim-quoted, unsurprising response, I received sometime in the last 72 hours, when I mentioned that my engineering department has an anti-LLM psychosis culture, citing risks with cognitive debt as primary,
>The plan is to eventually completely replace humans and hence an autonomous agent would be taking in the cognitive debt in its cognitive memory. So it's only a very short term risk. Humans can simply never come even close to frontier models super intelligence. Those who have such rules against LLM use will never be able to take advantage of the power LLM would provide and would be way behind and lose the game.
Whose plan is it? Certainly one that looks like it's from Reddit user "Adjective-Noun-1234".
What even is a "cognitive memory" in a "super intelligence" that has to be regularly stripped off all working context to avoid sabotaging its own efficacy?
What's the road that I have been hearing since the last two years that I will be "way behind" on?
Lastly, what "game" are we playing? If winning the game is the equivalent of lighting a sum greater than my entire software development team's budget on fire, perhaps I'd be glad losing whatever "game" this is.
I have been contacted by leadership in many small & mid-sized companies to help fix the tech side of their product, after they let ✨💅AI agents💅✨ do all the software dev, especially under the instructions of non-tech teams.
I have my own product offering to look after, first & foremost, but these paid consultancy requests usually cost me less than an hour or two of my time weekly, and I get to see first hand, all the consequences of an ✨💅AI-first engineering culture💅✨. The first question I often get is - "Which AI agent will you use to fix it?" (Sure, let's use a blowtorch to clear out an oil spill)
Looking back at all the mess I have been asked to fix by the same people who parroted & paraded that I will be "losing the game", I'm quite confident that the opposite is true.