gapeslape

I’m a solo entrepreneur - working on a questionnaire solving tool (think security questionnaires, RFPs and similar). Would love to hear any feedback.

https://requestfx.com

This is awesome, thanks!

I wonder if you could make it multiplayer and then get the effects of time dilation?

In my imagined world I also wanted to explore speeds above the speed of light. You could just stick to galilean transformation, take a very low speed of light and go from there. The world you get should be pretty bizarre.

This reminds me of an idea I had a few days ago. Imagine a world where speed of light:

- is small compared to human level speeds (say 2km/h / 1.25mph)

- things could move faster than the speed of light.

I really wonder how it would feel to explore this world visually. For example:

- an object in front of me accelerates from 0 to above the speed of light

- I'm in a car, looking backwards, going from 0 to above the speed of light

I guess one could easily simulate that in a virtual world, no?

I agree with what you are saying.

I’m building a tool that helps you solve any type of questionnaire (https://requestf.com) and I just can’t imagine how I could leverage Apps.

It would be awesome to get the distribution, but it has to also make sense from the UX perspective.

“30 hours of unattended work” is totally vague and it doesn’t mean anything on its own. It - at the very least - highly depends on the amount of tokens you were able to process.

Just to illustrate, say you are running on a slow machine that outputs 1 token per hour. At that speed you would produce approximately one sentence.

Thanks, I really appreciate it.

I do think that the amount of regulation is proportional to the complexity of the society. While you can over or under regulate, the general future trend will be more regulations.

If anyone is struggling with keeping up with EU regulations, we built an AI powered platform that helps companies navigate this complex world. You can find it at: https://fx-lex.com

We haven't tried that, we might do that in the future.

My intuition - not based on any research - is that recall should be a lot better from in context data vs. weights in the model. For our use case, precise recall is paramount.

Gemini models run in the cloud, so there is no issue with hardware.

The EU regulations typically include delegated acts, technical standards, implementation standards and guidelines. With Gemini 2.0 we are able to just throw all of this into the model and have it figure out.

This approach gives way better results than anything we are able to achieve with RAG.

My personal bet is that this is how the future will look like. RAG will remain relevant, but only for extremely large document corpuses.

In my mind, Gemini 2.0 changes everything because of the incredibly long context (2M tokens on some models), while having strong reasoning capabilities.

We are working on compliance solution (https://fx-lex.com) and RAG just doesn’t cut it for our use case. Legislation cannot be chunked if you want the model to reason well about it.

It’s magical to be able to just throw everything into the model. And the best thing is that we automatically benefit from future model improvements along all performance axes.

looks beautiful, great execution! do you mind sharing which fronted tools you used?

I bet the comment above was produced by generative AI.

It seems that the only two possible answers are "perhaps" and "no".

If the answer is "perhaps", why don't the authors list viable alternatives?

Perhaps this is how we could all actually learn something new.

This seems like a nice example of chaotic system (https://en.wikipedia.org/wiki/Chaos_theory).