weirdthingspodcast.com

Title

Weird Things Podcast

Description

Artemis gets a victory lap as the crew celebrates the mission’s safe splashdown and talks about how a future moon landing would dominate the internet in a way Apollo never could. From there the conversation turns into an extended AI state-of-the-industry check-in, focusing on Anthropic’s reported compute bottlenecks, Claude reliability complaints, and the restricted Mythos model that appears powerful but not yet practical to serve widely. They compare Anthropic’s strategy with OpenAI’s emphasis on efficiency, lower-cost coding performance, and upcoming model releases, while also discussing how AI companies are navigating government and defense relationships. The back half becomes a hands-on look at OpenAI’s Codex computer-use features, with examples ranging from inbox summaries and printed morning briefings to media sorting, podcast post automation, and desktop app control, all framed around the idea that AI works best when you identify which parts of a workflow require human taste and which parts are just repetitive clicking.

Language

en

Open Graph

url

https://weirdthingspodcast.com

title

Weird Things Podcast

site name

Weird Things Podcast

description

Artemis gets a victory lap as the crew celebrates the mission’s safe splashdown and talks about how a future moon landing would dominate the internet in a way Apollo never could. From there the conversation turns into an extended AI state-of-the-industry check-in, focusing on Anthropic’s reported compute bottlenecks, Claude reliability complaints, and the restricted Mythos model that appears powerful but not yet practical to serve widely. They compare Anthropic’s strategy with OpenAI’s emphasis on efficiency, lower-cost coding performance, and upcoming model releases, while also discussing how AI companies are navigating government and defense relationships. The back half becomes a hands-on look at OpenAI’s Codex computer-use features, with examples ranging from inbox summaries and printed morning briefings to media sorting, podcast post automation, and desktop app control, all framed around the idea that AI works best when you identify which parts of a workflow require human taste and which parts are just repetitive clicking.