Using the Smartest AI to Rate Other AI

Using the Smartest AI to Rate Other AI

In this episode, I walk through a Fabric Pattern that assesses how well a given model does on a task relative to humans. This system uses your smartest AI model to evaluate the performance of other AIs—by scoring them across a range of tasks and comparing them to human intelligence levels.

I talk about:

1. Using One AI to Evaluate Another
The core idea is simple: use your most capable model (like Claude 3 Opus or GPT-4) to judge the outputs of another model (like GPT-3.5 or Haiku) against a task and input. This gives you a way to benchmark quality without manual review.

2. A Human-Centric Grading System
Models are scored on a human scale—from “uneducated” and “high school” up to “PhD” and “world-class human.” Stronger models consistently rate higher, while weaker ones rank lower—just as expected.

3. Custom Prompts That Push for Deeper Evaluation
The rating prompt includes instructions to emulate a 16,000+ dimensional scoring system, using expert-level heuristics and attention to nuance. The system also asks the evaluator to describe what would have been required to score higher, making this a meta-feedback loop for improving future performance.

Note: This episode was recorded a few months ago, so the AI models mentioned may not be the latest—but the framework and methodology still work perfectly with current models.

Subscribe to the newsletter at:
https://danielmiessler.com/subscribe

Join the UL community at:
https://danielmiessler.com/upgrade

Follow on X:
https://x.com/danielmiessler

Follow on LinkedIn:
https://www.linkedin.com/in/danielmiessler

See you in the next one!

Become a Member: https://danielmiessler.com/upgrade

See omnystudio.com/listener for privacy information.

Episoder(531)

Unsupervised Learning: No. 57

Unsupervised Learning: No. 57

This week’s topics: Russia gave us attribution for Christmas, the NSA is shedding talent, the evilest ransomware, how to raise someone's IQ in 2 minutes, and more…Become a Member: https://danielmiessler.com/upgradeSee omnystudio.com/listener for privacy information.

12 Des 201629min

Unsupervised Learning: No. 56

Unsupervised Learning: No. 56

Gooligan, Korean Game Hacking Law, DoubleFlag Experian Hack, Georgia Tech Attribution Research, Amazon's re:Invent Conference Highlights, recommended links, and more…Become a Member: https://danielmiessler.com/upgradeSee omnystudio.com/listener for privacy information.

5 Des 201614min

Unsupervised Learning: No. 55

Unsupervised Learning: No. 55

Biowarfare defenses, AI advances, mergers and acquisitions, Facebook and censorship, IoT definitions, the philosophy of Westworld, and more...Become a Member: https://danielmiessler.com/upgradeSee omnystudio.com/listener for privacy information.

28 Nov 201624min

The Difference Between Threats, Threat Actors, Vulnerabilities, and Risks

The Difference Between Threats, Threat Actors, Vulnerabilities, and Risks

My essay that clearly separates the differences between the core infosec terms of threat, threat actor, vulnerabilty, and risk.Become a Member: https://danielmiessler.com/upgradeSee omnystudio.com/listener for privacy information.

27 Nov 20165min

The Difference Between Existentialism, Nihilism, and Absurdism

The Difference Between Existentialism, Nihilism, and Absurdism

For centuries there have been people who believe there is no intrinsic meaning in the universe. Here I’ll summarize the three major branches of this belief, and how each proposes we deal with the situation.Become a Member: https://danielmiessler.com/upgradeSee omnystudio.com/listener for privacy information.

22 Nov 20168min

Stop Being Proud of Complexity

Stop Being Proud of Complexity

An essay on how complexity often communicates the exact opposite of its desired effect.Become a Member: https://danielmiessler.com/upgradeSee omnystudio.com/listener for privacy information.

22 Nov 20163min

Unsupervised Learning: No. 54

Unsupervised Learning: No. 54

Britain's new surveillance law, CRISPR biotech, the Army's new Phaser, NIST's new IoT Security guidelines, ML-based facial recognition, and more...Become a Member: https://danielmiessler.com/upgradeSee omnystudio.com/listener for privacy information.

21 Nov 201614min

Unsupervised Learning: No. 52

Unsupervised Learning: No. 52

Subscribe to Unsupervised Learning via: iTunes | Android | RSS | Newsletter This is Episode No. 52 of Unsupervised Learning—a weekly show where I collect my favorite stories in infosec, technology, and humans, and talk about why they matter. The show is released in two forms: * the Podcast, which you can subscribe to via iTunes, Android, Blog, or RSS * the Newsletter, which is the podcast’s companion and conveniently serves as its show notes as well. You can get the newsletter by clicking here or on the image/text below. Thank you for listening! Notes * The intro track is from one of my favorite EDM artists: Zomby. The song is ‘Orion’, and it’s from the ‘With Love’ album. Highly recommended if you like chill EDM. Become a Member: https://danielmiessler.com/upgradeSee omnystudio.com/listener for privacy information.

7 Nov 201640min

Populært innen Teknologi

romkapsel
rss-avskiltet
teknisk-sett
tomprat-med-gunnar-tjomlid
energi-og-klima
rss-impressions-2
shifter
nasjonal-sikkerhetsmyndighet-nsm
elektropodden
fornybaren
rss-alt-vi-kan
rss-alt-som-gar-pa-strom
smart-forklart
rss-snakk-om-sikkerhet
teknologi-og-mennesker
kunstig-intelligens-med-morten-goodwin
rss-bouvet-bobler
i-loopen
pedagogisk-intelligens
rss-digitaliseringspadden