From 4d901a8122805bb617e9b532b7577559193eb6fe Mon Sep 17 00:00:00 2001 From: Ryan Dahl Date: Sat, 14 Jun 2025 09:12:40 -0700 Subject: [PATCH] underestimating-ai: edit --- posts/underestimating-ai.md | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/posts/underestimating-ai.md b/posts/underestimating-ai.md index 5b87cb9..e086ed1 100644 --- a/posts/underestimating-ai.md +++ b/posts/underestimating-ai.md @@ -12,7 +12,7 @@ the emergence of a new non-biological form of intelligent life. And yet, it doesn't feel like it. -There's no cinematic score, no blinking AGI warning light. Just Slack threads, , +There's no cinematic score, no blinking AGI warning light. Just Slack threads, blog posts, and conference panels. It reminds me of witnessing childbirth - profoundly transformative, with some shocking moments, but also lots of mundane time waiting around. @@ -30,14 +30,15 @@ misunderstanding of what AI has become. Machine learning - now rightly called AI - is a deeply general-purpose field. The same core techniques behind Midjourney and GPT share research lineage, and often architecture. This isn't a stack of isolated tricks. It's one evolving -system architecture applied across language, vision, simulation, reasoning, and +system architecture applied across language, vision, reasoning, robotics, and more. These systems are built on a mountain of science: decades of research, countless failed experiments, and thousands of contributors. ([I've even contributed a few failures myself.](https://tinyclouds.org/residency)) -And we haven't found the limits yet - these models can already simulate physical -phenomena, generate high-definition video, and write deeply technical software. +And we haven't found the limits yet - these models can already translate +language, write poetry, generate high-definition video, and write deeply +technical software, and so much more. Mobile technology was transformative. But general-purpose synthetic intelligence is something else entirely.