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• ↓ Sample complexity: The language learning efficiency gap
• ↓ Model size: The representational efficiency gap
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"I visited Adam Kalai’s new RESI AI Safety nonprofit last week and found it stimulating. Here is an approach which uses the properties of AI to curb AI harder than I have seen elsewhere. It’s not a complete solution of course, but silver bullet thinking seems inappropriate to safety."

"The present state in my understanding is that private companies have been in a rush to build AI and so safety incidents are basically handled on a voluntary basis according to the interests of the company. This is plausibly not the right balance point as evidenced by many instances of company AI hacking others with the hugging face incident well publicized."

"To start, there are several anti-anthropomorphical elements of AIs which are useful to understand."

"One of these is that AI can have perfect(*) flight recorders. AIs are essentially deterministic as a function of their inputs, all of which are digitized by definition. Yes, models function by drawing random numbers to pick the next word (aka token), but the distribution given the history is a deterministic function of the history. Given this, you could easily imagine adding a write-only flight recorder which perfectly records the context in which AIs make decisions. This flight recording need not include either the inference code or the model itself. The flight recording is a naturally private object since it may include private information from the user and implicitly contains private information (the way the AI responds) for private AI companies. That’s fine: it’s not like flight recorders are public in most instances. Given this, there is no reason in principal why every sufficiently capable AI can’t have every input and output written to an effectively immutable private tape, which could be revealed to investigators when/if problems arise."

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Sample complexity: The language learning efficiency gap

Model size: The representational efficiency gap

The long-term memory and planning gap

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