What podcasts say about Taylor Monahan
Every statement, with the speaker, the exact quote and the moment it was said.
What Taylor Monahan has said on podcasts
53 statements · 19 positive · 31 negative · 1 mixed · 2 neutral
Validator setups have low theft risk because withdrawal keys are not stored on servers.
“What's super interesting is that with validator setups, there's actually a very low risk of money being stolen because the keys don't live on the servers.”
Open the episode · How OpenAI's Math Dump Has Crypto Rethinking Its Cryptography: Uneasy MoneyListen at 8:11
A cryptographic break would first enable powerful actors to attack other powerful actors.
“the first thing to break is not going to be satoshi's coins it's going to be like the most powerful people on the planet hacking the second most powerful people on the planet”
Open the episode · How OpenAI's Math Dump Has Crypto Rethinking Its Cryptography: Uneasy MoneyListen at 19:35
ZachXBT obtained laundering-network addresses and transaction trails through undercover operations.
“He basically became friends with him. He also did like a full undercover operation multiple times to get his addresses, basically fully get the trails and how these operations work.”
Open the episode · How OpenAI's Math Dump Has Crypto Rethinking Its Cryptography: Uneasy MoneyListen at 38:33
DPRK-linked laundering networks laundered over $1 billion in four or five months.
“it's over a billion dollars that they laundered in, like, four or five months.”
Open the episode · How OpenAI's Math Dump Has Crypto Rethinking Its Cryptography: Uneasy MoneyListen at 39:27
Public disclosure can accelerate security responses compared with secrecy.
“you can actually move a lot faster with the information being public, like rather than everything under wraps.”
Open the episode · How OpenAI's Math Dump Has Crypto Rethinking Its Cryptography: Uneasy MoneyListen at 47:44
ZachXBT’s public reporting pressures institutions to act on laundering intelligence.
“it lights a fire under everyone because it's kind of like Wait, if this bro on Twitter can tweet this, why didn't anyone do anything about this beforehand?”
Open the episode · How OpenAI's Math Dump Has Crypto Rethinking Its Cryptography: Uneasy MoneyListen at 48:49
Bitget attackers accessed systems and spoofed withdrawals without obtaining private keys.
“the attackers were able to get access to certain systems. They weren't able to get access to the private keys. But once they had access to the systems, they were able to basically spoof withdrawals.”
Open the episode · Uneasy Money: The $388M Bitget Hack Started With a Security VendorListen at 5:50
ThorChain’s code is currently not open source.
“they have right now like the code is not even open source”
Open the episode · Uneasy Money: The $388M Bitget Hack Started With a Security VendorListen at 17:57
ThorChain is not decentralized, secure, open source, or permissionless.
“it's not decentralized it's not secure it's not open source um it's not permissionless”
Open the episode · Uneasy Money: The $388M Bitget Hack Started With a Security VendorListen at 19:02
Tornado Cash is more decentralized than ThorChain.
“tornado cash is infinitely more decentralized”
Open the episode · Uneasy Money: The $388M Bitget Hack Started With a Security VendorListen at 22:29
Anthropic’s valuation rose from $62 billion to $2 trillion in 18 months.
“the anthropic valuation was $62 billion. 18 months ago. So it went from $62 billion to $2 trillion.”
Open the episode · Uneasy Money: The $388M Bitget Hack Started With a Security VendorListen at 53:50
Market incentives can improve efficiency and retail user experience.
“ultimately it makes the market better makes it more efficient and it's a better user experience especially for the retail users”
Open the episode · Why Kalshi's Timeline Fight Put Its ETH Perp Volume Under a Microscope: Uneasy MoneyListen at 27:37
AI labs currently provide little evidence that they control their systems.
“the ai labs are not doing a single freaking thing to give anyone confidence that they have this under control”
Open the episode · Why Kalshi's Timeline Fight Put Its ETH Perp Volume Under a Microscope: Uneasy MoneyListen at 37:54
Anthropic is pursuing wet-lab biology despite unresolved cybersecurity weaknesses.
“They literally don't have cyber down. And they're like, let's just speed run our way to biology now, too.”
Open the episode · Why Kalshi's Timeline Fight Put Its ETH Perp Volume Under a Microscope: Uneasy MoneyListen at 39:10
Amazon’s advertising and seller revenue incentives discourage removing sponsored search results.
“they must make so much money from the ad spend and from the sellers and like the sellers like gaming the search results that they cannot lose that”
Open the episode · Why Kalshi's Timeline Fight Put Its ETH Perp Volume Under a Microscope: Uneasy MoneyListen at 46:40
Regulatory uncertainty was highly harmful to crypto participants.
“I think that was super harmful.”
Open the episode · Uneasy Money: What Crypto's Gensler Years Say About the AI Slowdown DebateListen at 12:42
Crypto’s full alignment with Trump harmed its policy interests.
“i do think it was a i think doing that did us a disfavor”
Open the episode · Uneasy Money: What Crypto's Gensler Years Say About the AI Slowdown DebateListen at 20:05
The NOSA Safe theft funds may eventually be returned.
“hopefully they just return it i don't know hopefully there's some things happening behind the scenes”
Open the episode · Uneasy Money: What Crypto's Gensler Years Say About the AI Slowdown DebateListen at 58:47
Robinhood engineers may have earned only $50,000 from insider trading.
“if it really was they only made 50K, then it really does feel like the Coinbase and OpenSea situations.”
Open the episode · Uneasy Money: What Crypto's Gensler Years Say About the AI Slowdown DebateListen at 1:03:33
Chainlink has meaningful SOC 2 compliance advantages.
“i think chain link is sock too compliant”
Open the episode · Uneasy Money: What Crypto's Gensler Years Say About the AI Slowdown DebateListen at 1:08:15
Chainlink has legitimate differences, but Wyoming’s presentation appeared promotional.
“There are differences. However, the way that this was presented and specifically this like Twitter article, it just seems like a link shell.”
Open the episode · Uneasy Money: What Crypto's Gensler Years Say About the AI Slowdown DebateListen at 1:12:12
Fraudulent assets were created through the Liquid exploit.
“assets that shouldn't have existed were spoofed into existing.”
Open the episode · Uneasy Money: Is OpenAI Training on Your Private Chats to Win the AI Race?Listen at 2:53
A Liquid code vulnerability existed for years before exploitation.
“there was, call it a vulnerability or a bug, that it has existed on liquid in the liquid code for years and years now.”
Open the episode · Uneasy Money: Is OpenAI Training on Your Private Chats to Win the AI Race?Listen at 18:05
Most AI models can quickly find vulnerabilities in recent pull requests.
“almost every single model if you ask it to look at like the recent pull requests will like almost instantly find the vulnerability that was unexploited”
Open the episode · Uneasy Money: Is OpenAI Training on Your Private Chats to Win the AI Race?Listen at 21:23
AI agents are continuously monitoring GitHub repositories and pull requests.
“there's just people out there that are just throwing these models at the various githubs and the pull requests and it's just like constant”
Open the episode · Uneasy Money: Is OpenAI Training on Your Private Chats to Win the AI Race?Listen at 24:10
Public production code should be assumed to face continuous AI-agent scrutiny.
“if you're running any production code, like if you're submitting anything to an open repo, you should just have to assume that there's, you know, 100 agents out there monitoring everything you do and looking for looking for weaknesses”
Open the episode · Uneasy Money: Is OpenAI Training on Your Private Chats to Win the AI Race?Listen at 26:23
Private work submitted to closed models may enter their training data.
“someone might be working on something that they think is private um and then they put it into a closed source model like an open ai or an anthropic and it ends up in their training data”
Open the episode · Uneasy Money: Is OpenAI Training on Your Private Chats to Win the AI Race?Listen at 27:18
Frontier AI labs do not know all contents of their training data.
“They don't know what's in the training data.”
Open the episode · Uneasy Money: Is OpenAI Training on Your Private Chats to Win the AI Race?Listen at 38:04
Frontier AI labs are releasing models approximately weekly.
“these frontier labs are releasing models you know every week”
Open the episode · Uneasy Money: Is OpenAI Training on Your Private Chats to Win the AI Race?Listen at 41:29
Users cannot verify whether AI providers honor data-sharing settings.
“you have no way to verify it.”
Open the episode · Uneasy Money: Is OpenAI Training on Your Private Chats to Win the AI Race?Listen at 42:57
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.