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The Time Bomb Went Off: AI's All-You-Can-Eat Era Just Ended in Real Time
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this post was submitted on 18 May 2026
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A place for all those who loathe AI to discuss things, post articles, and ridicule the AI hype. Proud supporter of working people. And proud booer of SXSW 2024.
AI, in this case, refers to LLMs, GPT technology, and anything listed as "AI" meant to increase market valuations.
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Typically what separates enterprise-grade products and services from alternatives is a contract with an SLA... but that generally means there's some contractual requirements for the reliability and productivity of the product or service. I'm not sure that any of the overhyped chatbots are reliable enough to support such contractual obligations, or that there's a useful way to measure their productivity.
Plenty of hosters provide that. Cerebras, for example, fabs their own ASICs (seperate from Nvidia), builds them into servers, hosts a number of open-weights models themselves in friendly jurisdictions, and offers SLAs for enterprise clients; it doesn't get more "guaranteed" than that in AI Land, but there are tons of hosts to choose from.
https://www.cerebras.ai/build-with-us
The major sticking point is that the best open weights models are Chinese. This doesn't actually matter from a security standpoint anymore than buying a Chinese tire does; they're dumb weights anyone can finetune, host and run on whatever software/hardware stack one wants... But try explaining that technical distinction of "using Chinese AI" to executives responsible for entire corporations.
There are even attempts to "launder" Chinese models to make them palatable for western enterprise use. For example:
https://huggingface.co/microsoft/MAI-DS-R1
https://huggingface.co/unsloth/r1-1776
This makes sense for first-party hardware businesses like Cerebras that are renting or selling their platform to developer businesses (second party) for the purpose of creating AI-based software tools which they will then sell as services to other businesses (third party), and I can see that guarantees could be written in a contract for the first-to-second-party relationship.
What I don't see is that any such guarantees can be effectively written or enforced in a second-to-third-party contract, where an AI SaaS company is selling their software service to companies that don't do their own development, and expect that the service they have contracted will produce reliable results.
Actually, what Cerebra’s does is no different than any generic host. They provide API access to LLM weights, though most providers will do it with some standard open source serving software like VLLM or SGLang.
And they all use the same open weights LLMs. They arent the software developer.
Cerebras doesn’t train their own model. And I think this is fine for service guarantees as long as the weights do not change, hence will provide the exact same deterministic results at zero temperature (and generally perform the same when used as a service).
My experience is that a lot of “enterprise” LLM stuff is used in bulk, for results that can be “good enough” with a reasonable error rate. Like (for example) extracting info from literally millions of documents. Or as RAG/querying their own internal documentation.