Rethinking AI Agent Scaffolding – Embracing the Bitter Lesson for Scalable Automation

episode

Agentic AI Podcast not yet transcribed

▲ 0

Transcript

This episode hasn't been transcribed yet Upvotes decide what gets transcribed next — 0 so far. Sign in to upvote

Related

recent transcribed audio

The Trade Feed - Full Show - Cam Luke & Liam Pickering - Tuesday 29th September 1h 27m · 29 Sep 2026 · AFL Trade Radio

"He absolutely is a great fit for St Kilda." Cam and Pickers discuss potential landing spots for Jake Stringer in 2027 - Tuesday 29th September 3 min · 29 Sep 2026 · AFL Trade Radio

NPR News: 09-29-2026 1AM EDT 5 min · 29 Sep 2026 · NPR News Now

1AM ET 09/29/2026 Newscast 3 min · 29 Sep 2026 · Fox News Hourly Update

Reliving the Lachie Neale move from Fremantle to Brisbane - The Time Capsule - Tuesday 29th September 10 min · 29 Sep 2026 · AFL Trade Radio

Where Is Austin Tice?: 7. The Escape 38 min · 29 Sep 2026 · I’m Not a Monster Presents… Where is Austin Tice?

Report any issue

Source

Recorded09 May 2025

Publisherfeeds.transistor.fm ↗

Handlerec:14014020

Show notes

In this thought-provoking episode, we dive into the evolving philosophy behind building agentic AI—moving away from rigid scaffolding and handcrafted logic, and toward systems that learn, adapt, and scale on their own. Inspired by Richard Sutton’s Bitter Lesson, we explore why the most powerful AI systems rely less on human-designed shortcuts and more on general-purpose learning and computation. We discuss how this mindset shift impacts the design of AI agents, the trade-offs between control and autonomy, and what enterprises need to consider when scaling automation in real-world environments. If you're building or deploying AI at scale, this episode offers deep insight into the why behind the how.

Ask this episode

“What did the council decide on item 42?” — answered with the speaker and the moment.

Sign in