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AI model training

Topic

Expert statements

6
2 positive · 1 negative

What experts have said about AI model training

6 statements · 2 positive · 1 negative · 3 neutral

  1. 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.”

    Listen at 1:48:13

    Open the episode · The Great AI Debate: Is Artificial Intelligence an Extinction Threat? Debating the True Risks of Advanced Models
  2. 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”

    Listen at 18:39

    Open the episode · NVIDIA's $96.2B Quarter, China's 200,000 Fake Accounts, & OpenAI's New Chip | EP #284
  3. 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.”

    Listen at 9:27

    Open the episode · Why AI has no taste and how to fix it (w/ Thais Castello Branco) | E2319

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.

AI model training · PodLume