Trains are great, but they can only go where tracks go. Planes are faster, too, noting that boarding times can dilute that. Trains are perfect for freight and super frequent routes, though.
The video cites the large number of existing flights that are short enough for the electric. I am not sure they should be judged based on whether they make air travel more appealing overall - making it cheaper and lower emission is plenty.
I agree that hindsight is doing work here, but DeepSeek R1 from Jan 2025 seemed to heavily leverage distillation, and 18 months is an eternity in this climate.
Super interesting. I am always wondering where the bridge between symbolic programs and inline connectionist approaches could be. LLMs can call traditional programs "in process" as tools, but the other way usually just looks an external, expensive call. Maybe this fits in for a certain class of program. I will definitely add some support to my little collection of browser based AI tools https://andergrove.com/tools/ai/
For super simple programs, yes, this doesn't make sense. For very complicated programs, the generated code would begin to look like spaghetti so fine that it begins to look like weights.
1/ Agreed, better naming convention and model layout
2/ It isn't, there would be many more comparison benchmark results if it were, but also - theatrics may be marketing
3/ Disagree that cheaper models don't have a place
4/ Do they need to keep up?
5/ It's boring until something you own or run gets compromised, I guess, but even then - this is preview of things to come (biosecurity, etc)
Selfishly, I hope this doesn't reduce to 0 the amount of time he spends doing educational content, which seems like a particular strength of his. I presume this means Eureka Labs is not releasing any product or course.
All of this is true and credit assignment is hard, but the brutal competition between Chinese firms, especially in manufacturing, differentiates them from and advances them over economies in the west. It makes investment hard as profits are competed away, which is blasphemy in Thiel's worldview, but is excellent for consumers both local and global.
I think the Tailwind case is more complicated than this, but yes - I think it's reasonable to want to contribute something to the common good but fear that the value will disproportionally go to AI companies and shareholders.
When training for muscle size atleast, but not strength. Presumably there are increased injury risks overall when lifting heavy (based on a brief search).
Well, many companies are still mispriced, but stock markets today look a lot more like voting machines than weighing machines - so it takes more time to be proven right (or wrong).