If Apple forces developers to support Shortcuts, ensures true Mac-to-iPhone parity, and lets users generate scripts using natural language AI, it’s game over. Nailing this native integration would single-handedly kill the market for almost every derivative AI app out there.
No, it's created by data scanned from the internet, books and fed to the models. How is that a good thing for anyone? I'd love your take. People spend years giving themselves value to others to live a life of worth and value.
The data just scanned itself and organized itself into an neural network? Would be an awesome display of bootstrapped intelligence if that happened! Sadly, it was the result of decades of human research.
Decades of human research and mountains of work used without permission. Not that they legally did or didn't need that permission, but ethically, kind of a dick move.
The one thing that we should look at given recent advance in maths using lean is, computer science will ( and should be ) used to create appropriate language for other fields ( biology, process, chemistry, games, movies etc ). ( hammer / nail analogy ). Science <-> Engineering used to be about representing anything in math so as to define and solve it, now onwards it will be about representing it in a language.
Weird thing to say to a comment that explicitly says this is about warming the oceans. The original calculation, assuming all the energy is dumped directly into the ocean would be: 87B / (60*60*24*365*4) = 689.69 years.
Funny thing about the atmosphere though is that it requires ~1300x less energy to heat up by 1 degree, so if you dump all that energy into the atmosphere, the temperature would go up by ~2 degrees per year.
The reality is that global warming warms up both the oceans and the atmosphere to varying degrees (and the earth's crust, to much lesser degree), with the ocean absorbing most of that. The atmosphere only absorbs about 23% of that, and a significant amount of the of the excesses radiate back into space.
But even with a conservative estimate that only 1% of this heat is being stored in the atmosphere, that would still lead to a global atmospheric temperature increase of 1 degree Celsius every 50 years. The worst-case scenarios estimate 2% of this heat is retained, dropping that down to 25 years.
I'm going to go ahead and guess that waiting 2.5M years isn't the answer. That's geological time scales anyway, Humans could have gone extinct and been replaced with new intelligent life in that kind of time. Whatever math you did to reach that figure, it's completely wrong.
Either would have worked, but rust's fussy compiler & memory features is an advantage for LLMs. The more bug catching you can shift out of runtime and into compile time the better since the LLM can fix it
go is even more straightforward for llms imo. It's a dead simple language with a good garbage collector, where you can still do a lot memory management
That’s kinda my point - you don’t really want to trust the LLM to get any sort of memory management right. A system where hard constraints are baked into the language itself and the LLM fights the compiler at compile time removes a lot of hoping the LLM got it right.
Ultimately either works though so use whatever you enjoy
I wouldn't say it has lost. Big firms like Microsoft and Amazon are just afraid to use Go since it's by Google, a known evil firm. This doesn't hold back smaller firms that need to move fast.
You play White, and Jev plays Black. Rather than asking an LLM to generate move strings or JSON, the backend feeds all server-validated legal candidate moves into Vercel AI SDK's experimental_evaluate(). Jev picks Black's move and outputs its probability distribution across all legal candidates in a single forward pass (~300ms, ~$0.00004/move).
reply