MVissers
Joined 7 years ago
Joined 7 years ago
And I don't think anyone is calling themselves allies of the USA right now. The whole world is looking to decouple from the USA. Europe is completely over the USA, they can't rely on them for leadership, protection or for trade.
From a tech perspective, expect Europe to decouple from the USA from an economic and cultural perspective in the next decade. Smartest thing Europe can do is to create alternatives to US services, build its own defense industry and stop looking at the USA for any leadership.
Also, not sure what the whole 800v hype is about. I rent EVs for roadtrips and Tesla's are basically the fastest charging ones with current architecture, haven't had a need for 800v since at the cell level the charging speed is already maxed out.
Re: the Y, even though they won't sell because some hand gestures and behaviors, they did almost every complaint people have about the old model Y.
Zero sympathy for Americans that voted for this and the ones that stayed home.
I feel bad for the ones that voted Kamala and for the West.
Natural selection in this sim just happens by itself, there is a limited amount of food and only the best adapted ones survive. So the best performing neural networks duplicate themselves and create small variations of themselves. This part is not connected to the NEAT algorithm, I've just seen that NEAT performs particularly good vs more fixed-structure neural networks.
You get banned for sharing identities of DOGE people, but Musk can share the name and tax documents of a federal judge.
Hypocrite.
There are boycott’s afoot and I wouldn’t be surprised if canada and Europe will choose more Chinese and domestic in the future.
Basically, the US closing its borders will lead to a Chinese world leadership which is not good for the US either.
Over time this allows fish to develop basic behavior such as searching for food, navigation a maze, etc.
The only other 'useful' gene right now is around herbivore/carnivore digestion (0 to 1), which allows them to extract more energy from either meat or plant-food. Most of the time they actually develop specific behavior according to this gene.
I don't really code in what offspring need to do beyond having slight variations to both factors described above, it kind of evolves randomly into more complexity (neural net + behaviors).
Also importantly– I need to program an energy decay system and death if they run out. So basically: Energy source, energy decay and evolving neural nets that can give an organism the possibility to survive and evolve if they get more energy. And voila– Life emerges.
Working on plants now, and again simple rules: Neural nets in the plants to mimic evolution of complex biological systems that evolve from generation to generation. And a light-based energy source and light-based energy capture system (leaves). My current (preliminary) experiments show that the plants start to look like trees over time to maximize energy capturing compared to competing plants.
Looking to publish this once I have it a bit more refined.
I think we're quite far off if you want to model full organism complexity. But if you want to answer a research question you can model simpler versions today. Like this research team did around how vision evolves.
By the way– As of recently, we were able to model C Elegans (flatworm) in 3D with all neurons and neurotransmitters. It reacted to virtual stimuli just like a real worm (https://www.nature.com/articles/s43588-024-00738-w). So single-organisms is already possible. But the evolution of these entities in 3D will take us a bit more time is my guess:
Also I'm not a CS person, just an enthusiast.
Doesn't mean that it's not worth it for most. Some people just want to do science. Or startups.
Whether it's worth the investment depends on ones goals in life.