It’s impressive how every iteration tries to get further from pretending actual AGI would be anywhere close when we are basically writing library functions with the worst DSL known to man, markdown-with-english.

What a disaster for Micron. Having a consumer facing brand is 'crucial' for brand awareness. Micron is the smallest of the big 3 in DRAM and the only one in America. They're going to be swallowed up and replaced by CXMT.

Heard all the news how Gemini 3 is passing everyone on benchmarks, so quickly tested and still find it a far cry from ChatGPT in real world use when testing questions on both platforms. But importantly the ChatGPT app experience at least for iPhone/Mac users is drastically superior vs Google which feels very Google still. So Gemini would have to be drastically better answer wise than ChatGPT to lure users from a better UI/UX experience to Gemini. But glad to see competition since certainly don't want only one winner in this race.

The Megahertz wars in the 1990s made it really difficult to understand relative performance across even the same ISA like this, and I think computers with the 603 CPU were a bit of a wrench in people's perception of the Mac.

The 180 or 200MHz 603e with 16k L1 cache in that Performa 6400 wasn't slow by any stretch, but it probably didn't have L2 cache. Coupled with the gradual transition to PPC native code of the OS and apps, these machines were often a little mismatched to expectations and realities of the code.

Meanwhile that PowerTower had a 604e with 32/32k L1 and 1MB L2 cache. That was a fast flier with a superscalar and out of order pipeline more comparable to the Pentium Pro and PII.