TinyFn is a collection of 500+ deterministic utility endpoints (math, string ops, hashing, validation, conversions, etc.) that AI agents can call via MCP instead of guessing. (Also works as a plain REST API). Think of it as offloading the stuff you wouldn't ask a human to do in their head either.
I'd love feedback on which tool categories are most useful, and what's missing. Happy to answer any questions. https://tinyfn.io
jqpabc123•1h ago
So let's obscure (partially) the inadequacies of LLMs?
This way, we can skip past the obvious and move on to making really big mistakes using LLMs.
tacoooooooo•1h ago
jqpabc123•48m ago
The problem here is the basic implementation of LLMs. It is non-deterministic (i.e. probabilistic) which makes it inherently inadequate and unreliable for *a lot* of what people have come to expect from a computer.
You can try to obscure the problem but you can't totally eliminate it without redesigning LLMs. At this time, the only real cure is to verify everything ---which nullifies a lot of the incentive to use LLMs in the first place.
tacoooooooo•5m ago
It sounds like you don't like LLMs! In that case, you may be more interested in our REST Api. All the same functions, but designed for edge computing, where dependency bloat is a real issue https://tinyfn.io/edge