1,473 karma · joined June 29, 2012
But I can most of the time, and correct it if it chooses the wrong thing. That's the whole reason LLMs are faster. Its the reason we can give a paragraph prompt and get a kLOC PR back but only need to correct about 5% of it.
OpenAI and Anthropic investors yes, however open weight models are good for cloud providers. They can turn the two large customers into direct ai services that can be spread across many customers and reduce the cloud providers overhead on ai services.
Then you need longer contexts, which is proving to a much more stubborn problem than general knowledge compression.
200k and now 1M contexts. Better context management was enabled by improvements in structured outputs/tool calling at the model level. Also reasoning models really upped the game “plan” mode wouldn’t work well without them.
Does the rights to Friends being traded around for the Nth time really benefit anyone?
Explanations aren't sufficient either. The industry has burned that bridge. Strong contractual guarantees. Ceasing personal data collection operations, etc. etc. Concrete steps only. Thus far we have one concrete step that is proof of the opposite direction.
Perl objects worked like this and the ecosystem is a mess as a result. There's a built in `bless` to add a vtable. There's some cool stuff you can do with that like blessing arrays to do array of structs vs struct of arrays and making it look like a regular object in user code. The problem is there are like 4 popular object libraries that provide base stuff like inheritance, meta objects, getters/setters etc and they're not all compatible and they have subtle tradeoffs that get magnified when you have to pull multiple in to get serious work done.
1. An h20 is about 1.5 generations behind Blackwell. This chip looks closer to about 2 generations behind top end Blackwell chips. So ~5ish years behind is not as impressive especially since EUV is likely going to be a major obstacle to catching up which China has no capacity for
2. Nvidia continues to dominate on the software side. Amd chips have been competitive on paper for a while and have had limited uptake. Now Chinese government mandates could obviously correct this after substantial investment in the software stack — but this is probably several years behind.
3. China has poured trillions of dollars into its academic system and graduates more than 3x the number of electrical engineers the US does. The US immigration system has also been training Chinese students but having a much more limited work visa program has transferred a lot of knowledge back without even touching IP issues
4. Of course ip theft covers some of it
Edit: this is just for prosumer style cameras. If you look at phone sized optics that’s a whole other ballgame.