Recommendations

A short (non-exhaustive) list of people who put great stuff on the internet and consistently help me learn new things.

The field of artificial intelligence (AI) is moving fast. Keeping up with the vast number of new research papers on your own is daunting: scrolling through twitter all day does not seem like a good use of time. Below is a number of AI news aggregators that I personally use to get curated updates of AI developments on a regular basis without spending all my time looking at papers: Last week in AI (newsletter/podast) by Andrey Kurenkov, Jacky Liang et al: weekly updates on the latest AI research development. Also available as a podcast. Guide to AI (newsletter) by Nathan Benaich: in-depth monthly analysis of AI developments, from a commercial/startup/venture capital lense. Import AI (newsletter) by Jack Clark: provides a regular stream of very interesting research papers, with detailed summaries.

In late 2022 and early 2023, we have seen major leaps in the field of AI with generative models like those underpinning the ChatGPT interface. Below are selected commentary pieces by AI researchers, leaders and commentators that make predictions about the future of AI following these leaps. I highly recommend looking at these links – they have been very influential on my own thinking and work. Geoffrey Hinton: The Godfather of AI on quitting Google to warn of AI risks (podcast) Bill Gates: The age of AI has begun (blog post) Ferenc Huszár: We May be Surprised Again: Why I take LLMs seriously (blog post) Ezra Klein: My view on AI (podcast) Sam Altman: OpenAI CEO on GPT-4, ChatGPT and the Future of AI (podcast) Andrej Karpathy: Emergence of a whole new computing paradigm (twitter post) Hope you find these helpful! ...