How do you ascribe a revenue number like that based on one collection of changes in a huge system? Presumably there were a bunch of other features being released around the same time as it. Was there a lot of A/B testing around it?

Amazon uses a complicated process called "attributed OPS". Meaning you may not be directly responsible for but you contributed in some way.

Doesn’t matter, @ChadMoran is already on the fast track whilst you are on a pip.

Hah, well I've done something right. They've let me stay here almost 15 years.

Ok, but prefill/prompt processing was definitely the weak point before. They were already solid in raw tokens/sec after TTFT

my mac mini m4 is getting to be a good substitute for claude for a lot of use cases. LM Studio + qwen3.5, tailscale, and an opencode CLI harness. It doesn't do well with super long context or complexity but it has gotten production quality code out for me this week (with some fairly detailed instructions/background).

studio with m5 ultra this week might have me pulling the trigger.

You think they will skip M4 ultra? May be they slowly plan to launch ultra chips alternate years since the development costs are high and demand is niche.

If they do a 1TB m5 ultra, I too would be configuring one for sure.

I hope so! I already have the M4 mini pro - would like to bump up the prompt processing time and the memory bandwidth at the same time with the new M5 matmul changes.

All my homies hate Next.js

I think it's more like the husbands left the platform first.

Yes

this would make me so happy!

I know pandas has a lot of technical warts and shortcomings, but I'm grateful for how much it empowered me early in my data/software career, and the API still feels more ergonomic to me due to the years of usage - plus GeoPandas layering on top of it.

Really, prefer DuckDB SQL these days for anything that needs to perform well, and feel like SQL is easier to grok than python code most of the time.

> Really, prefer DuckDB SQL these days for anything that needs to perform well, and feel like SQL is easier to grok than python code most of the time.

I switched to this as well and its mainly because explorations would need to be translated to SQL for production anyways. If I start with pandas I just need to do all the work twice.

chdb's new DataStore API looks really neat (drop in pandas replacement) and exactly how I envisioned a faster pandas could be without sacrificing its ergonomics

I'm not mad about it. Joe seems like a chill dude and is having fun.

The M5 ultra series is supposed to have some big gains around prompt processing - something like 3-4x from what I've read. I'm tempted to swap out my m4 mini that I'm using for this kind of stuff right now!