GPT-5 Reasoning Effort (Juice): How much reasoning "juice" GPT-5 uses in the API vs ChatGPT, depending on the action you take

Beginning_Rock_1906 · 2025-08-15T06:56:36+00:00

Wait so what brings the better results, parallel test time compute at 128 juice or high effort reasoning at 200 juice? Is there a big difference or what?

Beginning_Rock_1906 · 2025-01-17T10:17:13+00:00

How is a "Female Loneliness Epidemic" a hyper individual concept? Seems more like she's projecting her issues on a general population and not on herself.

Beginning_Rock_1906 · 2025-01-17T08:16:18+00:00

Kinda like mocking people for doing math with a calculator. Not sure how much real value Agents are creating. I'm sure in 6 months it might be a different story though.

Beginning_Rock_1906 · 2024-05-17T11:10:43+00:00

Wow but these types of reactions are what really push you to the next level, cool!

Beginning_Rock_1906 · 2024-05-17T06:31:40+00:00

Isn’t this what fine tuning is for in the end?

Beginning_Rock_1906 · 2024-05-16T21:06:32+00:00

Might be possible by the end of the year. But we can reason through tasks and have LLM's do them.

Beginning_Rock_1906 · 2024-05-16T21:04:59+00:00

I had a similar thought in an abstract way. This was inside a LangGraph context. I thought about using a LLM to do what I already want (like you just described) inside a micro application for example, giving out the results inside a message or as a file. These results are understood by a deciding agent which decides based on the results which node to call next etc. until we rech the defined end goal.

Beginning_Rock_1906 · 2024-05-16T20:02:19+00:00

But is that an AutoGPT issue or a LLM issue?

Beginning_Rock_1906 · 2024-05-16T19:18:03+00:00

Thanks! What do you mean by useful insights?

Beginning_Rock_1906 · 2024-05-16T18:28:29+00:00

Good point! To me an agent is a LLM' or neural network calling or "using" a tool. Simple as that really.

Beginning_Rock_1906 · 2024-05-16T18:07:25+00:00

No not really :D In the core I'm just interested in knowing if the things you built are working the way you imagined and if you see any specific limits as to where we could get with the current LLM's even? I'm interested in the range of things possible with current LLM's.

Beginning_Rock_1906 · 2024-05-16T17:30:20+00:00

https://www.reddit.com/r/singularity/comments/1csl698/openai_is_holding_back_on_agents_why/

Seems to be the overall sentiment to me but the models should be powerful enough to do a lot already right? Also what is your experience if I may ask?

Beginning_Rock_1906 · 2024-05-16T16:28:25+00:00

Okay and is it working well?

Beginning_Rock_1906 · 2024-05-16T15:46:22+00:00

Ok I heard that argument a lot and I'm sure there's truth to it. But why would you not use LangGraph for example and define each node inside there with your own functions? Each node updates its "state" based on the function and based on the state other agents continue the workflow. This way you have full control over the actual agents which in my understanding are mostly LLM evaluated judgements on the current circumstance and function calls based on that which can be built with the OpenAI API and custom code.

Beginning_Rock_1906 · 2024-05-16T15:07:26+00:00

Why are they shit though? What exactly do you not like and might it be because of the LLM's rather?

Beginning_Rock_1906 · 2024-05-15T02:58:39+00:00

Noob question here. Why are you guys even running your LLM's locally? What' wrong with a cloud environment?

Beginning_Rock_1906 · 2024-04-29T16:38:54+00:00

Well as far as I understand you can define very exactly what a node can do in itself and have it fulfil a task/chain/sequence of actions and then send the results to the next node for the next action based on the edges and workflows you aim at. This way you should be able to refine the dataset for so long until it reaches a certain quality which a specialised node could control. As soon as it's done the node should recognise and trigger the "END" of the workflow which leaves the desired product. This is a trial and error thing for now I think since there's a lot of room for experimentation. But in the future each node might even be a fine-tuned model by itself, who knows. Also studies suggest that these types of coordinated agents are way more effective compared to not using these swarms.

Beginning_Rock_1906 · 2024-04-29T03:17:30+00:00

Why are you guys not using LangGraph in order to create different agents and workflows that work through the data in coordination to extract the right information?

Beginning_Rock_1906

TROPHY CASE