Thoughts

TL;DR raised a lot of money, and we’re going to make sure it shows up as benefits to y’all 🫶

After two years in stealth, we’re excited to finally introduce a new intelligence primitive for software.

As the famously misattributed quote goes: “There are three kinds of lies: lies, damned lies, and statistics.” There is now a fourth kind: AI benchmarks.

TL;DR: Compute drives progress in AI, but what good is progress if you are not doing the right task!

RLHF-trained language models please humans and assist rather than make reliable autonomous decisions. What comes next?

Why are some AI applications too good to be true and others total bunk? What is the reason behind the massive gap between over-promise and under-deliver?