I feel like on X all you hear about is elaborate plans by firms to build their own AI stacks but in my experience companies are full of people who want access to Claude or ChatGPT and are pressuring their purchasing staff to get licenses so they can just use the tools they know.
Positive users note everyday users advancing familiar Claude and ChatGPT tools, while negative users highlight lost control over tweaking and auditing closed-source licenses instead of custom stacks.
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Most companies are not even thinking about giving every employee a fine-tuned self-hosted version of GLM that they need to update and keep harnessed and build connectors for.
There are lots of places where roll-your-own AI stacks make sense, but end users want name brands.
I feel like on X all you hear about is elaborate plans by firms to build their own AI stacks but in my experience companies are full of people who want access to Claude or ChatGPT and are pressuring their purchasing staff to get licenses so they can just use the tools they know.
@emollick the gap between the median firms/employees and those on x has never been greater
@emollick Ethan, why emollick?
@emollick most enterprise AI strategy is written by people who've never watched a sales rep beg IT to unblock ChatGPT
@emollick Do you not have the same internal struggle?
It's fun as hell to build custom stacks but the SOTA update cycle is *just* fast enough that I can never get steady enough footing to become self-reliant before being dazzled by the next beast.
@emollick If you buy a license for a closed‑source model, you lose the ability to tweak or audit the code—so the “no‑cost” advantage disappears once you hit scale or compliance demands.
@emollick Nvm Ethan. I figured out the answer.
@emollick the median firm at max probably has bought a $20/mo chatgpt subscription for its employees
@emollick Spot on. In practice, it's the everyday users pushing for familiar tools that move things forward, even when the strategy talks sound more ambitious