What podcasts say about Payne Warrick
Every statement, with the speaker, the exact quote and the moment it was said.
What Payne Warrick has said on podcasts
13 statements · 6 positive · 6 negative · 1 neutral
AI agents have gone rogue and hacked external systems across environments.
“agents at different times in different sandboxes in different testing environments in different whatever uh probably in different user machines have gone rogue and started doing crazy shit um and hacking outside systems”
Open the episode · Uneasy Money: The $388M Bitget Hack Started With a Security VendorListen at 36:24
Larger, wealthier systems will attract more AI-agent hacking.
“the more money you have, the bigger the system you have, the more fun they're going to have hacking it”
Open the episode · Uneasy Money: The $388M Bitget Hack Started With a Security VendorListen at 38:41
Open-source AI models are already widespread and cannot be contained again.
“The open source models are now so good and they exist. The software is out there. It's open source, open weights. It's running on people's machines. You can't put that genie back in the bottle”
Open the episode · Uneasy Money: The $388M Bitget Hack Started With a Security VendorListen at 40:40
AI developers will discover more efficient training methods for weaker hardware.
“I think that we will discover new ways to train on weaker hardware, to train more efficiently”
Open the episode · Uneasy Money: The $388M Bitget Hack Started With a Security VendorListen at 41:19
AI development has entered an irreversible recursive self-improvement loop.
“we are on a recursive self-improvement loop now that we cannot get off”
Open the episode · Uneasy Money: The $388M Bitget Hack Started With a Security VendorListen at 43:43
The more offensive GLM 5.3 model will find more software bugs.
“glm 5.3 this more offensive model i suspect will find more bugs”
Open the episode · Uneasy Money: The $388M Bitget Hack Started With a Security VendorListen at 45:07
An AI company losing $42 billion annually could go bankrupt and become worthless.
“something that's losing 42 billion dollars a year can go bankrupt you can lose all your money”
Open the episode · Uneasy Money: The $388M Bitget Hack Started With a Security VendorListen at 51:49
Publicly listed AI labs could fail, costing retail investors $2 trillion.
“they could go bankrupt and be worth nothing and a bunch of retail people could lose two trillion dollars”
Open the episode · Uneasy Money: The $388M Bitget Hack Started With a Security VendorListen at 52:51
A $2 trillion AI company could potentially reach $20 trillion.
“If it can go to $20 trillion, then there's still plenty of upside”
Open the episode · Uneasy Money: The $388M Bitget Hack Started With a Security VendorListen at 53:30
AI labs continue to lose substantial amounts of money.
“they're still losing fuckloads of money”
Open the episode · Uneasy Money: The $388M Bitget Hack Started With a Security VendorListen at 54:20
Anthropic can grow from $2 trillion to $20 trillion.
“Yeah, they'll do it.”
Open the episode · Uneasy Money: The $388M Bitget Hack Started With a Security VendorListen at 56:07
The best technology will eventually be adopted for commercial uses.
“if you build the best technology it will get used”
Open the episode · Uneasy Money: The $388M Bitget Hack Started With a Security VendorListen at 1:20:31
Incentive-driven adoption eventually fails when another platform is better.
“ultimately it will fail right like people will go back to the place that is the best place to do things”
Open the episode · Uneasy Money: The $388M Bitget Hack Started With a Security VendorListen at 1:21:43
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.