Episode 197: 800 Bugs w/ DeepSeek + Local Model Hacks
Episode 197: In this episode of Critical Thinking - Bug Bounty Podcast Joseph, Brandyn, and Ads serve up some tips on how they’re using local AI Models and optimizing their hardware.
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Shoutout to YTCracker for the awesome intro music!
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Recent Episodes
Episode 197: 800 Bugs w/ DeepSeek + Local Model Hacks
Episode 196: Local AI - The Future of Pentesting & Bug Bounty?
Episode 195: Frans Rosen on the AI Age of Bug Bounty
Episode 194: Using Jev for Bug Bounty
Episode 193: Browser Logic Errors & XS-Leaks with Jorian Woltjer
Episode 192: Hackbot Proof-of-Concept Skill Creation
About the Hosts
Full-time Bug Bounty Hunter
Justin is a full-time bug bounty hunter and top-ranked live hacking event competitor. He has taken home two Most Valuable Hacker awards and countless other 1st place & 2nd place trophies.
While Justin specializes in web hacking, he also dabbles in IoT and mobile hacking. He is also the HackerOne Ambassador for the Eastern US region.
Outside of hacking, Justin enjoys Volleyball, Brazilian Jiu Jitsu, and Real Estate investing.
Full-time Bug Bounty Hunter
Joseph is a security researcher and full-time bug bounty hunter specializing in application security and AI. He has helped Fortune 500 companies avoid costly vulnerabilities and has contributed to over 1,000 security findings through platforms like HackerOne and Bugcrowd. Passionate about identifying recurring security flaws, works to address them through hacking, teaching, and consulting.