“More context engineering ... incredibly easy to get a lot of juice out of that without squeezing too hard”

Eric Bigelow · "The Cognitive Revolution" · How Agents Decide: Goodfire's Eric Bigelow on Critical Tokens, Phase Shifts, & In-Context Learning

Play from 34:45
34:45

Audio streams from the publisher’s own feed. Verbatim does not host or copy it.

What was described

Argues that most short-term gains will come from context engineering rather than building custom fine-tuned models per user

Said nearby on the same subject

“Every SME should eventually fine-tune, post-train their own model if they can afford to, build one from the ground up, especially if they're in a very narrow domain. It's not that expensive to build a small language that caters to the needs of your customers.”
NK
Nick Kairinos
AI in the UK ·
How they work Share this moment
“You'll start by offsetting the short-term gains of the short-term losses, and then the long-term gains of the long-term losses”
♫
Said on Motley Fool Hidden Gems Investing
How they work Share this moment
“Portsmouth businesses should optimize for every AI model rather than backing one favorite. Your customers do not all use the same tool, so picking one just means going missing for everybody else.”
AD
AI James Dooley speaker
AI SEO & Business Automation Podcast ·
Growth tactic Share this moment
“You may need a bit of fine-tuning of your probes so that they work on each person's particular fine-tuned model”
EB
Eric Bigelow
"The Cognitive Revolution" ·
How they work Share this moment

Moments like this, every Monday

The strongest new moments on your topics, in the speakers' own words. Free for three topics.

No card. No password. One-click unsubscribe.

Track a competitor?

Pro watches up to 25 names or phrases and emails you the morning after they are said.

See Pro, $29 a month

Verbatim quotes a short extract and links to the episode; the episode belongs to its publisher. Remove a show.