https://meet.rank.rocks - a climbing app that uses Elo-like rating system for ranking climbers and determining route difficulty. And it’s totally free & open - anyone can add gyms, crag, create competition events, etc.
23 karma · joined February 21, 2014
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.
- 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’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.
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.
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.
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.
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.
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.
If the answer is "perhaps", why don't the authors list viable alternatives?
Perhaps this is how we could all actually learn something new.