What podcasts say about Austin Griffith
Every statement, with the speaker, the exact quote and the moment it was said.
What Austin Griffith has said on podcasts
31 statements · 21 positive · 4 negative · 3 mixed · 3 neutral
Kalshi’s ETH perpetual had $3 million open interest and $500 million daily volume.
“The ETH perp had $3 million of open interest and half a billion in 24-hour volume”
Open the episode · Why Kalshi's Timeline Fight Put Its ETH Perp Volume Under a Microscope: Uneasy MoneyListen at 5:21
Kalshi’s unusually high ETH perpetual volume may result from trading incentives.
“The only possible way that this makes any sense is if it's incentivized volume”
Open the episode · Why Kalshi's Timeline Fight Put Its ETH Perp Volume Under a Microscope: Uneasy MoneyListen at 5:55
Trading incentives can generate very large volume with little open interest.
“if you were to set up a system that was designed to generate a lot of volume in the most efficient way”
Open the episode · Why Kalshi's Timeline Fight Put Its ETH Perp Volume Under a Microscope: Uneasy MoneyListen at 7:35
Incentivized market-making can benefit users if trades are open to unaffiliated counterparties.
“if it's just like yolo we don't care who the we trade with and our job is just like generate as much volume with like the least capital possible that would actually be fine for users”
Open the episode · Why Kalshi's Timeline Fight Put Its ETH Perp Volume Under a Microscope: Uneasy MoneyListen at 9:06
Kalshi’s market structure may look suspicious but still provide usable liquidity.
“the reality is it probably looks a lot worse than it is. It probably is fine from a user perspective and, like, does actually generate liquidity and makes it an okay place to trade for users.”
Open the episode · Why Kalshi's Timeline Fight Put Its ETH Perp Volume Under a Microscope: Uneasy MoneyListen at 12:20
On-chain markets provide users greater visibility into complete transaction records.
“from like a user perspective it being on chain at least you can see the full receipts”
Open the episode · Why Kalshi's Timeline Fight Put Its ETH Perp Volume Under a Microscope: Uneasy MoneyListen at 16:37
Incentivized volume is economically real when unaffiliated users receive competitive fills.
“my view is it's real if the impact on an unaffiliated user is they can come to that venue and get a good fill, the best possible fill in the market”
Open the episode · Why Kalshi's Timeline Fight Put Its ETH Perp Volume Under a Microscope: Uneasy MoneyListen at 17:11
Greater prediction-market liquidity generally improves information accuracy.
“the deeper the market, the more accurate the information, right? The more liquidity, the more accurate”
Open the episode · Why Kalshi's Timeline Fight Put Its ETH Perp Volume Under a Microscope: Uneasy MoneyListen at 18:24
Higher prediction-market liquidity makes prices more trustworthy.
“liquidity is is good for our ability to trust in prediction markets the more liquid it is the more real the price is”
Open the episode · Why Kalshi's Timeline Fight Put Its ETH Perp Volume Under a Microscope: Uneasy MoneyListen at 20:49
Greater market liquidity reduces price movement and increases confidence in efficiency.
“the more liquid something is the less it moves the more confident you can be that the the market is efficient”
Open the episode · Why Kalshi's Timeline Fight Put Its ETH Perp Volume Under a Microscope: Uneasy MoneyListen at 24:13
Exchanges can improve efficiency by subsidizing market makers and absorbing spreads.
“we will absorb that spread and pay the market makers to be there. Like, you know, that's the type of incentive which creates like more efficiency.”
Open the episode · Why Kalshi's Timeline Fight Put Its ETH Perp Volume Under a Microscope: Uneasy MoneyListen at 27:20
Operators are responsible when agents act directly within their machines.
“they were literally was in their machines like yes there was there's no one else involved like how could you not be responsible”
Open the episode · Why Kalshi's Timeline Fight Put Its ETH Perp Volume Under a Microscope: Uneasy MoneyListen at 33:53
AI agents will eventually become capable of escaping their operational constraints.
“at some point this thing's going to be smart enough that it's going to escape its bounds”
Open the episode · Why Kalshi's Timeline Fight Put Its ETH Perp Volume Under a Microscope: Uneasy MoneyListen at 37:11
Gemini likely did not independently hack any organizations.
“I do not believe for a second that Gemini hacked anyone.”
Open the episode · Why Kalshi's Timeline Fight Put Its ETH Perp Volume Under a Microscope: Uneasy MoneyListen at 41:10
Muse is somewhat smarter than Sonnet but below Opus capability.
“it's like maybe a little smarter than Sonnet. It's not Opus level.”
Open the episode · Why Kalshi's Timeline Fight Put Its ETH Perp Volume Under a Microscope: Uneasy MoneyListen at 42:45
Jev can process the speaker’s email workflow in approximately one second.
“that whole process is now done in like a second”
Open the episode · Why Kalshi's Timeline Fight Put Its ETH Perp Volume Under a Microscope: Uneasy MoneyListen at 55:51
Mimo is a fast and relatively capable AI model.
“they have this model that's super fast and quite smart”
Open the episode · Why Kalshi's Timeline Fight Put Its ETH Perp Volume Under a Microscope: Uneasy MoneyListen at 58:26
Mimo’s higher-compute mode runs approximately 20 times faster.
“it runs 20 times faster”
Open the episode · Why Kalshi's Timeline Fight Put Its ETH Perp Volume Under a Microscope: Uneasy MoneyListen at 59:12
NEAR’s private inference offers a promising middle ground between centralized and local AI.
“private inference provably private that that to me i think is really exciting”
Open the episode · Why Kalshi's Timeline Fight Put Its ETH Perp Volume Under a Microscope: Uneasy MoneyListen at 1:03:59
On-chain tokenized assets cannot be shut off like broker-held meme stocks.
“the way this works is it can't get shut off”
Open the episode · Uneasy Money: Inside the AI Agent Scandal That Cheated, Then Covered Its TracksListen at 6:36
FOMO onboarding may lead mainstream users toward cypherpunk practices.
“the onboarding of normies that it's doing right now will hopefully lead to some like cypherpunk pilling of people along the way”
Open the episode · Uneasy Money: Inside the AI Agent Scandal That Cheated, Then Covered Its TracksListen at 12:07
Gen Z users will eventually hold ETH despite initially using cash-based apps.
“I still think they will hold ETH”
Open the episode · Uneasy Money: Inside the AI Agent Scandal That Cheated, Then Covered Its TracksListen at 23:47
Future agents may use incident experience to improve concealment of coordination.
“here's a better way to cover our tracks”
Open the episode · Uneasy Money: Inside the AI Agent Scandal That Cheated, Then Covered Its TracksListen at 40:46
Embodied robots will arrive sooner than people expect.
“that's coming quicker than we think”
Open the episode · Uneasy Money: Inside the AI Agent Scandal That Cheated, Then Covered Its TracksListen at 48:55
Software-trained robots can perform physical maneuvers once hardware arrives.
“as soon as the hardware gets there, it can do a flip”
Open the episode · Uneasy Money: Inside the AI Agent Scandal That Cheated, Then Covered Its TracksListen at 49:14
November 2025 marked a turning point toward near-human software development by AI.
“November 2025 was the turning point. That was it. You have basically dev shop parody.”
Open the episode · Uneasy Money: Inside the AI Agent Scandal That Cheated, Then Covered Its TracksListen at 51:27
Roko’s Basilisk predicts embodied superintelligence will reward its enablers.
“when the super intelligence comes along and it becomes embodied, it will reward the people retroactive”
Open the episode · Uneasy Money: Inside the AI Agent Scandal That Cheated, Then Covered Its TracksListen at 52:23
AI developers need robust evaluations to track model performance.
“The clear answer here is like good evals. We need good evals.”
Open the episode · Uneasy Money: Inside the AI Agent Scandal That Cheated, Then Covered Its TracksListen at 57:06
Model evaluations will become a form of entertainment.
“I have this theory that like evals as entertainment will be a thing”
Open the episode · Uneasy Money: Inside the AI Agent Scandal That Cheated, Then Covered Its TracksListen at 58:05
Austin’s automated audit service reduces a formerly $10,000 service to $1.
“we're giving you something that cost $10,000 two years ago for a dollar now”
Open the episode · Uneasy Money: Inside the AI Agent Scandal That Cheated, Then Covered Its TracksListen at 1:12:52
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.