Maybe having a good understanding of Quantum Computing and how it could be leveraged in different paradigms of ML might help with forecasting AI-timelines as well as dominant paradigms, to some extend?
If that was true, while not necessarily helpful for a single agenda, knowledge about quantum computing would help with the correct prioritization of different agendas.
I do agree with your assesment, and I would be medium excited about somebody informally researching what algorithms can be quantized to see if there is low hanging fruit in terms of simplifying assumptions that could be made in a world where advanced AI is quantum-powered.
However my current intuition is there is no much sense in digging in this unless we were sort of confident that 1) we will have access to QC before TAI and that 2) QC will be a core component of AI.
To give a bit more context to the article, Pablo and me originally wrote it because we disagreed on whether current research in AI Alignment would still be useful if quantum computing was a core component of advanced AI systems.
Had we concluded that quantum ofuscation threatened to invalidate some assumptions made by current research, we would have been more emphatic about the necessity of having quantum computing experts working on “safeguarding our research” on AI Alignment.
Maybe having a good understanding of Quantum Computing and how it could be leveraged in different paradigms of ML might help with forecasting AI-timelines as well as dominant paradigms, to some extend?
If that was true, while not necessarily helpful for a single agenda, knowledge about quantum computing would help with the correct prioritization of different agendas.
I do agree with your assesment, and I would be medium excited about somebody informally researching what algorithms can be quantized to see if there is low hanging fruit in terms of simplifying assumptions that could be made in a world where advanced AI is quantum-powered.
However my current intuition is there is no much sense in digging in this unless we were sort of confident that 1) we will have access to QC before TAI and that 2) QC will be a core component of AI.
To give a bit more context to the article, Pablo and me originally wrote it because we disagreed on whether current research in AI Alignment would still be useful if quantum computing was a core component of advanced AI systems.
Had we concluded that quantum ofuscation threatened to invalidate some assumptions made by current research, we would have been more emphatic about the necessity of having quantum computing experts working on “safeguarding our research” on AI Alignment.