This is cool. I envy you for being able to work on projects like this.
There's a spectrum of intellectual ability, and I tend to find myself interested in things far lower on the scale - insects, worms, amoebas, etc. I have a strong interest in GOFAI - pathfinding, goal-oriented action planning, expert systems, etc, and have played a lot over the past decade or two with implementing these things in roguelikes - simple 2D-ish world, sensory stimuli, etc.
So the recent stories about teaching a wad of human neurons to play _DOOM_ and this specific model are pretty interesting to me, even if, again, it's a few orders of magnitude in complexity higher than my focal point.
Are you aware of any similar work that's going on at lower levels with simulations like this? Did TRIBE v1 follow from simpler models or was it "greenfield", so to speak?
(Apologies... I figure I could Google my questions but sometimes I learn more from an HN comment than I would in hours of trying to parse a graph of scientific papers and news articles.)
Thanks for the kind words. I helped on the brain rendering side of things but I’m not an expert in the field he he. You seem to be way more knowledgeable than me. Do you have any of your work out there? I would love to check it out.
I don't know anything about anything TBH. I'm just an interested dude. My day job is just working with microservices and stuff, nothing related to AI or ALife.
I've started making some other sketches like https://bitterbridge.github.io/p5js-sketches/monsters/ to set up this kind of roguelike idea for demoing some more of these things, like Goal-Oriented Action Planning, but I haven't made much progress yet.
I also have this Lisp rules engine VM I created over the winter break, https://github.com/ndouglas/longtable/ , which might become the core of a more complex reasoning system. IDK though.
Sales are artificial boosts yes. The difference is in the connotation. A sale is given for something that people generally would buy anyway, but now more people will. An artificial boost is given to stuff nobody wants, but at a lower price can be convinced to buy.
Or in other words, sales raise $high_number to $higher_number while artificial boosts raise $essentially_zero to $acceptable_number.
the claim is that it moved sales forward in time, but it'll have a corresponding dip in sales later, whereas a good sales campaign increases total volume (virtually no dip, brings in new customers, etc)
look around your house and see how much shit you got that you really want(ed). great salesman (and elon is the best in the history of the civilization) will sell you shit you never thought you wanted :)
The motivation to buy something is always because you want it. That a product doesn’t meet your needs or expectations later is a different story. What’s your evidence to claim that people spending 60k in a cybertruck don’t want it? What’s your evidence to make a similar claim or the opposite for any other purchase? Without evidence it feels you are making baseless claims about peoples motivations.
Is it still your claim that people spending 60k on Cybertruck don’t want it? How do you know? Given the lack evidence feels like motivated thinking. You don’t like Elon and can’t accept that tons of people actually like him and his products.
I think you might be slightly misinformed on how many 10,000+ dollar purchases the average person makes in their lifetime to make sweeping statements of that nature. Advertizing sales on medical procedures or daycare could have the opposite effect I would imagine
Look up what their production targets were and compare that to their sales. A small temporary demand surge isn't going to be enough to chew through their current inventory, let alone keep the production lines busy.
It definitely feels less fun. Harder to get attribution, build a reputation, a community… Common driving forces for people to contribute to open source.
AI mediation between end dev and open source definitely reduces the incentives for maintainers that look to build community, visibility, reputation, collaborate with others… I also love AI so not sure what the solution could be.
It’s a point cloud where each point is a semitransparent blob that can have a view dependent color: color changes depending on direction you look at them. Allowing to capture reflections, iridescence…
You generate the point clouds from multiple images of a scene or an object and some machine learning magic
I helped implement the demo
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