Devin Thomas
Person
Devin Thomas is a guest.
What Devin Thomas has said on podcasts
14 statements
Frontier labs underserve professionals and companies needing sensitive AI use cases
“there's a whole bunch of professionals and companies out there that are essentially underserved or unserved by the frontier labs”
Open the episode · Inside The Startup Building Uncensored AI (Abliteration AI) | EP 2345Listen at 2:03
Obliteration lets customers define their own AI safety guardrails
“our unique I guess innovation or idea on the, on the space is to allow customers to set their own guardrails”
Open the episode · Inside The Startup Building Uncensored AI (Abliteration AI) | EP 2345Listen at 4:21
Major AI labs prohibit testing whether a company is vulnerable to live CVEs
“The big labs won't even allow you to test that”
Open the episode · Inside The Startup Building Uncensored AI (Abliteration AI) | EP 2345Listen at 5:27
Companies should red-team AI agents before deploying them
“you probably want to red team those agents”
Open the episode · Inside The Startup Building Uncensored AI (Abliteration AI) | EP 2345Listen at 6:20
Users are generally responsible for how they use AI tools
“the user of the tool today is kind of responsible”
Open the episode · Inside The Startup Building Uncensored AI (Abliteration AI) | EP 2345Listen at 7:52
Chinese open models trail frontier models by approximately three months
“I would say today they're maybe around 3 months behind”
Open the episode · Inside The Startup Building Uncensored AI (Abliteration AI) | EP 2345Listen at 9:46
Model capabilities may become similar enough that users cannot distinguish providers
“there just a point where like the capabilities everyone has is like roughly similar enough that the end user really can't tell the difference”
Open the episode · Inside The Startup Building Uncensored AI (Abliteration AI) | EP 2345Listen at 10:01
Obliteration’s safety-policy layer adds little request latency
“it doesn't add a lot of latency to your request”
Open the episode · Inside The Startup Building Uncensored AI (Abliteration AI) | EP 2345Listen at 12:59
Internet agents will execute commands according to their configuration
“if you unleash some agent on the internet, right, it's gonna go do whatever you kind of command it to do”
Open the episode · Inside The Startup Building Uncensored AI (Abliteration AI) | EP 2345Listen at 14:53
Exploit benchmarks reward models for extending exploits further
“The reward function for the model is how far can you take this exploit”
Open the episode · Inside The Startup Building Uncensored AI (Abliteration AI) | EP 2345Listen at 16:16
Obliteration routes user-defined policies through a separate safety layer
“users can then, when they set those policies, it just goes to the, the, the, um, the moderation layer or the safety policy layer”
Open the episode · Inside The Startup Building Uncensored AI (Abliteration AI) | EP 2345Listen at 21:58
Obliteration plans to build a trusted brand for unrestricted AI
“our plan, myself and my co-founder, is really that to build a brand people can trust in this space”
Open the episode · Inside The Startup Building Uncensored AI (Abliteration AI) | EP 2345Listen at 24:02
Obliteration focuses on business-to-business unrestricted AI applications
“we try to stay focused on kind of like the B2B use cases”
Open the episode · Inside The Startup Building Uncensored AI (Abliteration AI) | EP 2345Listen at 25:16
GPU shortages are real and make reliable large-scale supply difficult
“the GPU shortage was fake, but now I've experienced it and it is, it is, it is, it's actually a real thing”
Open the episode · Inside The Startup Building Uncensored AI (Abliteration AI) | EP 2345Listen at 27:06
Statements are attributed to the speaker as said on the episode and reflect their view at the time, not PodLume's. They are not advice.
