Would it be possible to walk back the evolutionary chain of events that leads to a specific brain structure?

For example, one of the scientists says that the connectomes mapping might be in the order of peta bytes of peta bytes of data.

But they originated from a seemingly 'simple' millions or billions of pairs of DNA. Would it make sense to trace back from a system design or a theoretical limits perspective? The chain of chemical reactions from DNA to these neurons and so forth.. the combinatorics from a DNA perspective while very complex seems manageable compared to the mapping of neurons after they have evolved into a full 'creature'.

Flutter uses Skia as the rendering engine - albeit with a different layout engine. JS on Chromium uses Skia.

If you are using JS to talk to Flutter to then talk to Skia, what's the value add? Is it the multithreaded layout engine?

If there were a Michelin star, we just lost two three star Michelins in about a decade... There aren't many (perhaps even any) left to fill this void.

Comments URL: https://news.ycombinator.com/item?id=28482947

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The vaccine can almost certainly send a few people to the hospital in the same manner that an airbag could almost certainly cause injuries during an accident.

It's very different from a natural infectionimo.

Now with death, one could argue that it does provide much longer lasting immunity....

Seriously though, for most people the severity of infection-derived immunity is preconditioned upon them surviving the disease so this looks like the classic "planes with bullet holes" image?

What's even more fascinating is that emotions, behaviors, imagination and dreams must all be encoded and not learnt with just a billion-odd pairs / bits.

Meanwhile, it takes a few megabytes for us humans to encode a decent Hello World program in a modern programming environment.

It looks like they took their internal evolving developer docs and turned it into pricing for customers.

There is a tree of docs and pricing you have to get to the punchline which is that Cloudflare for the most part is several orders of magnitude cheaper than AWS or any other cloud provider. And each 'team' seems to have their own little pricing page with arcane details - exactly the definition of 'ship your org chart as products'. Just check out Workers pricing for instance. The product is great but the pricing story is silly.

But it's almost like they want to drive customers directly to AWS with Amazon's simple pricing calculator and tools.

For the first time I actually read their damn email.

It's a bit tricky because rendering pipelines composite the final image through many layers of offscreen compositing before the pixel hits the screen.

The core issue is that the offscreen composited layers would still be 32bit textures which is a bigger issue. I would imagine a Skia-based draw list to encode this through the pipeline which could help preserve this perhaps.

There is already some amount of both practical (Swift/IDEs) as well as theoretical (Bret Victor) ways that do simulation of a specific function.

What's often missing is the visualization or simulation of how code blocks, classes, modules, libraries fit together. Modern frameworks and programming languages hide a lot of detail behind layers which compound this problem.

Certainly a great but missing assist to current IDEs.

Excited to see tech startups do actual tech instead of chasing VC funded growth hacking.

I wonder what sort of enterprise customers this targets.. (definitely not for individual devs)

Do you have recommendations to learn more about RL? Is CodeCraft a game?

Agree that our current understanding is very crude.

I was thinking a mapping between the information theory world to the biology world: say if N DNA pairs can be theoretically shown to only encode a pattern of "blah" complexity (time/space) regardless of future protein interactions, then could a model progressively apply that to find limits to prove/disprove/discover old or new ideas that are correct/incorrect?

We have had a cop out of "it's a magical world that we don't fully understand" for such a long time,so wondering if fundamental laws can help pave the way. Probably very amaterish/arrogant coming from computer science people such as myself, but one couldn't help but be in awe of these gears or octopuses or even basic flower patterns emerging out of DNA.

As in, is there a field of study similar to computer science/information theory on certain fundamental biological "laws of transformation"?

Say, we have six billion or so pairs in the DNA. How could a series of transformations from those pairs with other proteins produce this complexity especially ones that requires a particular 3d shape, time based mechanisms and reactions all tied together efficiently and passed from generation to generation?

Obviously perhaps not a "designed by some magical entity", but six billion pairs/nibbles seem quite magical to encode this complexity... It is certainly hard to study this even over many decades, but I wonder if there are certain fundamental laws or units or theories that help provide pathways to understand such transformations.

Watching the live 3d view shown in these videos - it's a very erratic representation of the world around it and should give a pause to anyone that thinks this is "FSD".

I hope the ethical AI people pursue these foundational issues in these AI ML thingamajiks.