"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis
"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis

Is Offense or Defense Dominant? FAR.AI's Adam Gleave on the AI Security Leaderboard

30 July 2026 1:44:27 Erik Torenberg, Nathan Labenz

Listen to episode

About this episode

FAR.AI co-founder and CEO Adam Gleave joins Nathan to discuss FAR.AI’s AI Security Leaderboard, the first systematic head-to-head evaluation of the misuse safeguards frontier developers actually ship. The findings expose a major measurement gap: while Claude Fable 5 and GPT-5.6 Sol withstood FAR.AI’s suite, Grok 4.5 and Gemini 3.1 Pro yielded hundreds of universal jailbreaks at low cost. Adam explains why many effective attacks look more like social engineering than advanced ML, why “jailbreak tax” should not be relied on for safety, and how FAR.AI scores whether a model is genuinely helping an attacker. The episode’s stakes are whether AI developers can measure and harden real deployed defenses before threat actors make routine use of increasingly capable systems.


- FAR.AI AI Security Leaderboard: http://leaderboard.far.ai/

- People can e-mail [email protected] if they're interested in the open-weight safety accelerator grantmaking program.


For full show notes, links, and references, read the episode page:
https://www.cognitiverevolution.ai/is-offense-or-defense-dominant-far-ai-s-adam-gleave-on-the-ai-security-leaderboard/

Sponsor:

Claude:

Claude by Anthropic is an AI collaborator that understands your workflow and helps you tackle research, writing, coding, and organization with deep context. Get started with Claude and explore Claude Pro at https://claude.ai/tcr


CHAPTERS:

(00:00) About the Episode

(03:22) AI security leaderboard

(07:56) Universal jailbreaks explained

(16:26) Finding social jailbreaks (Part 1)

(16:31) Sponsor: Claude

(18:01) Finding social jailbreaks (Part 2)

(30:48) Layered safeguard defenses

(42:25) Uneven frontier safeguards

(51:10) Sharing safety standards

(01:00:30) Offense versus defense

(01:08:50) Open-weight model safety

(01:17:25) Control failure warnings

(01:30:05) Coordination and risk

(01:39:24) Episode Outro

(01:42:52) Outro

PRODUCED BY:

https://aipodcast.ing

SOCIAL LINKS:

Website: https://www.cognitiverevolution.ai

Twitter (Podcast): https://x.com/cogrev_podcast

Twitter (Nathan): https://x.com/labenz

LinkedIn: https://linkedin.com/in/nathanlabenz/

Youtube: https://youtube.com/@CognitiveRevolutionPodcast</p

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 "The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.