Ohh, horizontal wheels. They’re about as good as I expected, models have pretty bad spatial awareness. I would expect Fable to be a bit better than old models, though.
It is dry heat, if you look at it from certain point of view. I once experienced smth like 27-28°C with fog, 100% humidity. Was almost as bad as 40°C with low humidity.
And if it would be 42°C/107°F with fog and 100% humidity, lots of people would be dead already. But it’s more like saying “at least this building is not on fire right now”. Or 1km wide meteor is not crashing down. It is not, and anything near 40°C is really unpleasant, regardless of burning homes and falling meteors.
It triggered for me on a completely pedestrian game design prompt a couple of days ago. I’ve sent feedback and continued with Opus, but that was really unexpected
I also made my own variant recently. I really liked the idea of litmaps but I didn't really like the UI/UX or "graph expand" feature (it uses some internal heuristic that is not very clear).
This uses OpenAlex as a source of articles and to let you explore the citation graph of papers. This is still a prototype mostly made to test out how far I could go with vibecoding (well I still checked the code now and then) something without a js framework. Someday I think I will add more features to it, but now there is already a somewhat working version of import/export so I'm fine with it.
Today you could plug this into your agent as a second brain to give it more insight on related topics and ground it's responses when doing research or building products that can benefit from cross polinating between fields.
I love them! It's a really nice, fun way to explore a corpus. Cosmograph for this sort of thing is great, it supports graphs as well as 2D projections, and is blazing fast.
That said, I've never had a client or stakeholder show any interest in using one, beyond an initial "that's cool".
And UMAP etc., is just as much an art as a science. You'll go mad trying to get the perfect layout.
Great toy if you're into that sort of thing, but yeah, fiddly and overwhelming for most.
Hi, I love the genre too. Cosmograph is wonderful, I did try it, but because of its license restriction I could not use it for this project. I do agree that beyond an initial "that's cool" this map may not contribute much, "and that's why I didn't make it the main product. I already had the data as I was building other things (extension, paper page) and wanted a bit of a cool factor so people would take a look at the project. The value is what's under each dot, the enriched page (TLDR, genes/drugs/diseases, trials, 3D structures, code, datasets, full text), extension and the MCP for agents.
Hello, I agree with you, viz are just cool and might not really have a usecase. In this project map is not the product, it is 1 of 4 parts and to be honest the least important. The value is what is under each dot, the enriched page (TLDR, genes/drugs/diseases, trials, protein structures, code, datasets, full text, images, reviews, etc) and the MCP for agents. You are welcome to use whichever part of the project is most useful to you (whether that is the map, paper pages, browser extension, or MCP).
This supports my feelings of what works best when working with the models. Especially together with the directional bias in recall that’s mentioned here in the comments.
First, the model attention is actually limited, so less rules is usually better, but that’s common knowledge already. Or maybe it’s as common as common sense, and a lot of people still employ lots of rules and try to cram everything in one step.
Second, it’s often quite sufficient to just namedrop a technique and LLM will work differently. For example, when debugging, LLMs tend to try to brute force the problem and often end up in the weeds. Just add “use scientific method for debugging and keep journal file” is usually sufficient to improve their skill here.
Another example is refactoring. Just add “use Mikado method”, and it’s sufficient to wholly change the approach and produce much better results.
I find all current LLMs to have pretty poor spatial awareness. It is becoming better, but still very poor. How are you dealing with that? Got any special tricks, any advice?
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