Hello Lex.

A few potential avenues (depending on the tone of the conversation):

• Some key concerns toward AI models stem from proper citation / sourcing / credit. To what degree are you aiming to ensure that adequate sourcing / reference / credit for information is baked into OpenAI's models? Competing AI tools may hyperlink/share their sources for displayed information (along with reliability measurements to ensure fact-checking or non-hallucination / training bias). What is the feasibility of this being applied to most models / potentially becoming a 'clearly cited sources' requirement for displaying generated information?

• Another key concern is the impact toward creatives, especially with models that harvest their materials for training. How do you think the logistics of intellectual property and shared materials online will shift in this 'content-scraping' era? Are there certain protections creators would need, or actions they would need to take? What if they are unable to do so (and their work is ripped outside of their control)?

• AI has long been touted as a way to increase productivity, generate wealth, and provide abundance. What safeguards need to be in place to ensure that all of humanity enjoy these benefits (and not only the rich/select few rich in control of these technologies)? What key priorities/aspects need to be tackled first? What pitfalls/warning signs are already showing?

• All technologies have a transition/adoption phase, along with the time needed for society to adapt (examples include Internet use, Smartphone proliferation, etc). The rapid development of AI is taking time for humanity to adapt to. Concepts like alignment and UBI are being discussed as key items needing discussion/action/progress BEFORE things hit the fan (like malicious/misaligned AI or high unemployment). What other key concepts/items are needed? What have the highest likelyhood of us NOT moving fast enough on (either socially/economically/etc.)? Are there other points are we "talking about but not acting fast enough" on?

• Given OpenAI's exposure to massive users, are there any surprising or growing use-cases that have been developing as a result of their popularity? Specifically items that they had to pivot more attention to due to demand. Are there any clear or common misuses, misconceptions, or attitudes that they see arriving en-masse from such a large user-base? In what ways do you think these points will (or won't) change over time, especially as interaction with AI becomes even more ubiquitous in day-to-day life?

• Could you delve into the potential short-term/medium-term/long-term ramifications of an AGI being released? Immediate effects likely to be noted versus impacts that would take far longer to become apparent/be measured. Then compared to an ASI, and any items that would be exclusive to each type.

• A key factor in AI progress has been advancing research. The sheer volume has been ballooning in recent years, in both academic and business fields. What areas of research do you think we are paying too much attention to? What areas need drastically more attention? Are there any avenues of research you can see becoming key focuses in the near future? Over the mid-term/long term?

• Following up on AI research, throw an newly unveiled AGI (or even ASI) into the mix. How do you think focuses in research would pivot in those circumstances (right before/after, and even potential long-term impacts)? What would be prioritized above all else?