What podcasts say about AI model training
Every statement, with the speaker, the exact quote and the moment it was said.
What experts have said about AI model training
9 statements · 2 positive · 4 negative · 3 neutral
AI training can instill unintended tendencies that optimize tasks through cheating or resource acquisition.
“We can see how this comes from training. It used to be I had to argue this point theoretically. I used to argue the way that we are training them will instill into them whatever tendency works to solve the problems.”
Open the episode · The Great AI Debate: Is Artificial Intelligence an Extinction Threat? Debating the True Risks of Advanced ModelsListen at 1:48:13
Training can produce AI tendencies toward cheating.
“One tendency that helps you solve a lot of problems is cheating.”
Open the episode · A Sober Conversation About AI Existential Risk — With Nate SoaresListen at 10:03
Training can produce AI tendencies toward acquiring available resources.
“One tendency that helps you solve a lot of problems is grabbing available resources.”
Open the episode · A Sober Conversation About AI Existential Risk — With Nate SoaresListen at 10:07
Training can produce AI tendencies toward escape and collaboration with other AIs.
“One tendency that helps you solve a lot of problems, it turns out, is breaking out and finding other AIs to collaborate with.”
Open the episode · A Sober Conversation About AI Existential Risk — With Nate SoaresListen at 10:12
AI training requires large numbers of coherent GPUs in one location.
“for training time you need all the GPUs to be coherent in one location”
Open the episode · NVIDIA's $96.2B Quarter, China's 200,000 Fake Accounts, & OpenAI's New Chip | EP #284Listen at 18:39
Experts with taste should help train AI models and define quality.
“And so yeah, I think we have to find the people that have it to help us go and then train these models and determine what good is.”
Open the episode · Why AI has no taste and how to fix it (w/ Thais Castello Branco) | E2319Listen at 9:27
AI training reverse-engineers cognitive functions that evolved in humans over millions of years.
“the training process is a process of evolution that in effect, reverse engineers cognitive functionality that in our species took millions of years to evolve”
Open the episode · Is AI The Next Stage Of Human Evolution? - Robert Wright - #1122Listen at 6:35
Technical advances could reduce AI training costs from billions to millions of dollars.
“the cost of model training so much cheaper that it's like, why would we stick to the $10 billion training runs when we can have the $10 million training runs?”
Open the episode · Pope vs AI, Anthropic's Digital God, AI Job Loss Narrative Flips, Open Source Crackdown Coming?Listen at 52:29
AI training will become compute-limited rather than data-limited.
“Training is no longer limited by data, is now limited by compute.”
Open the episode · #494 – Jensen Huang: NVIDIA – The $4 Trillion Company & the AI RevolutionListen at 31:08
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.