Clef: Open-source decision models, and new RL fine-tuning platform

Clef: Open-source decision models, and new RL fine-tuning platform blog.cloudflare.com

We are introducing Clef and Clef-flash, open-source decision models hosted on Workers AI for high-speed classification and agentic workflows. Also launching: a new reinforcement learning platform that allows developers…

297 points•jasondavies•about 4 hours ago•125 comments•

#clef #platform #source #decision models #open source #source decision #open source decision #source decision models

125 comments

vulture91610 minutes ago

Jev = $0.042/m input, output free Clef = $0.24/m input, no output price listed

At 300 tokens per call, you'd get:

One million decisions on Jev cost about $12.60. One million decisions on Clef cost about $72.

Would probably make sense to self-host Clef, if you have the capability/resources. If not...

manlymuppetabout 3 hours ago

Am I hearing this right, that they made a decision model based on Typesafe's new paradigm, and actually made a model better than Jev based on Typesafe's own ranking?

And it's only been a few weeks.

slopntabout 3 hours ago

They have to have decision models already in production. Part of their business is detecting bots, DDoSers and spammers.

alightsoul31 minutes ago

Yeah that's a decision tree, random Forest or some other machine learning classifier. They have existed for a long time

TeMPOraLabout 3 hours ago

It's not a "new paradigm", it's a low-hanging fruit that's been lying around for years; Typesafe were the first to bother to stop and pick it up, and market the shit out of it. But it was still a low-hanging fruit.

There are many, many of those left around, because AI frontier is moving forward so fast, everyone is racing ahead. Which is why I laugh when people say AI is not transformative and LLMs are a dead end (and my favorite, "what are we going to do with all those GPUs when the bubble pops?"). Even if SOTA LLMs hit a hard capability limit tomorrow and never advanced again, there's a good decade of growth and advancement to be extracted just from all the low-hanging fruits that were left unpicked along the way.

seizethecheeseabout 3 hours ago

Name a few of these low hanging fruit left around.

cakoose24 minutes ago

> This means that a human does not necessarily need to be in the loop for agentic decisions anymore — agents can programmatically gather context, make decisions, and take actions on tasks, or defer to a human when needed.

1. Humans are already not in the loop for lots of LLM agent actions. Isn't that just a function of how much you trust it and not some completely new paradigm? Am I missing something?

2. How can it gather context if it just outputs a single decision?

One guess: Maybe it's decision can be "gather more context and re-run me"? But an LLM can be much more expressive about what context it needs.

buildbuildbuildabout 3 hours ago

Open weights, not open source.

The weights have permissive licensing, but the data and training pipeline are not published to reproduce them from their proprietary Qwen starting points. Weights are not "source."

jMylesabout 3 hours ago

Came directly to comments hoping not to see this one.

Surely someone will soon do what the title of this post makes it seem like cloudfare did. Truly modular open source training and inference logic, along with a totally open corpus and weights, will eventually out-compete the closed ecosystem.

ssiddharthabout 3 hours ago

Pricing is $0.24/million input tokens which is ~6x compared to Jev. Clef-flash is at $0.09 which is way more competitive.

CBLTabout 2 hours ago

Yeah I also thought it was strange their pareto frontier didn't include cost.

Read the full thread on Hacker News →

125 comments

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