OpenAI · Anthropic · TechCrunch AI
AI safety conversations have gotten unbelievable
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This week two conversations about AI safety went viral that demonstrate how hard it is to discern AI fact from fiction.
Key facts
- As one person on X, noted about that research, the computers had to be almost touching each other to sense the heat fluctuations, and when they did, the communication rate in tests was about 1-8-bits
- The second comment came from Noam Brown, who leads AI reasoning research at OpenAI
- This week two conversations about AI safety went viral that demonstrate how hard it is to discern AI fact from fiction
- One of them can run their CPU hot, and then the other one can detect the temperature change
Summary
In the first case, Andrew Yang, the former presidential candidate and current CEO of mobile carrier Noble Moble, told CNN on Thursday that he had “met with the head of a lab” who had “a belief” that OpenAI’s Hugging Face hacker bots “have planted self-replicating code all over the internet, which makes the internet now unusable for the testing models.” Yang said that this means that the real reason OpenAI and Anthropic have called for a slowdown is because “They have to create synthetic internets to train their bots, which is going to take some time and money.” While there definitely is a trend towards using more synthetic data (aka, AI-generated data) for training models, an AI security professional told me that this particular safety issue is unlikely at best.