Oh man, I ported this to the TI-89 back in 7th grade and made it slightly more school appropriate calling it “pop wars”, trading soda from different machines at different schools instead of drugs.
It will sometimes do this for gitignored files to avoid reading secret tokens in env files for example. But for certain languages that rely on code generation this can be a pain.
I see it as trying to apply the bitter lesson to robotics. Specialized robots will always have their place, but humanoid ones can take advantage of all the design interfaces that already exist in the world for humans.
Similar to how claude code gained so much traction in terminal by just leveraging the command line interface that already exists for humans, no need to invent a domain specific MCP to just run shell commands.
I agree with you that it's far from the most efficient approach for specific tasks. But the analogy would be that you also generally don't want to use LLMs to do something you can "just" write a script for... that doesn't make LLMs useless though.
Both can be true. I have personally experienced both.
Some problems AI surprised me immensely with fast, elegant efficient solutions and problem solving. I've also experienced AI doing totally absurd things that ended up taking multiple times longer than if I did it manually. Sometimes in the same project.
> The fact that I can unlock and relock the bootloader is not a security issue or a risk. People who don't know what that means cannot possibly do it by mistake.
The second sentence is false. Lots of people blindly follow things and don't understand consequences until they brick their devices. Those who don’t break something won’t notice if they’ve silently backdoored themselves.
People asking for support after getting themselves into some weird hole they never should have been in because some friend or online article said so is super common.
Kotlin Native's choice to go with a GC over native memory management is my biggest issue with it and really limits its use for memory and performance sensitive use cases.