The Importance of Understanding Neural Networks

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Understanding the outputs generated by large AI models is a completely unsolved scientific problem.
There is a lack of causal understanding of how decisions are made by AI systems.
Despite best efforts, OpenAI was unable to prevent its chatbot from saying bad things on Twitter in just two hours.

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Does AI pose a near-term existential risk? Why might existential risks from AI manifest sooner rather than later? Can't we just turn off any AI that gets out of control? Exactly how much do we understand about what's going on inside neural networks? What is AutoGPT? How feasible is it to build an AI system that's exactly as intelligent as a human but no smarter? What is the "CoEm" AI safety proposal? What steps can the average person take to help mitigate risks from AI?

Connor Leahy is CEO and co-founder of Conjecture, an AI alignment company focused on making AI systems boundable and corrigible. Connor founded and led EleutherAI, the largest online community dedicated to LLMs, which acted as a gateway for people interested in ML to upskill and learn about alignment. With capabilities increasing at breakneck speed, and our ability to control AI systems lagging far behind, Connor moved on from the volunteer, open-source Eleuther model to a full-time, closed-source model working to solve alignment via Conjecture.

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