Andy and Dave discuss the latest in AI and autonomy news and research, including a report from Human Center AI that assesses progress (or lack thereof) of the implementation of the three pillars of America’s strategy for AI innovation. The Department of Energy is offering up a total of $33M for research in leveraging AI/ML for nuclear fusion. China’s Navy appears to have launched a naval mothership for aerial drones. China is also set to introduce regulation on “deepfakes,” requiring users to give consent and prohibiting the technology for fake news, among many other things. Xiamen University and other researchers publish a “multidisciplinary open peer review dataset” (MOPRD), aiming to provide ways to automate the peer review process. Google executives issue a “code red” for Google’s search business over the success of OpenAI’s ChatGPT. New York City schools have blocked access for students and teachers to ChatGPT unless it involves the study of the technology itself. Microsoft plans to launch a version of Bing that integrates ChatGPT to its answers. And the International Conference on Machine Learning bans authors from using AI tools like ChatGPT to write scientific papers (though still allows the use of such systems to “polish” writing). In February, an AI from DoNotPay will likely be the first to represent a defendant in court, telling the defendant what to say and when. In research, the UCLA Departments of Psychology and Statistics demonstrate that analogical reasoning can emerge from large language models such as GPT-3, showing a strong capacity for abstract pattern induction. Research from Google Research, Stanford, Chapel Hill, and DeepMind shows that certain abilities only emerge from large language models that have a certain number of parameters and a large enough dataset. And finally, John H. Miller publishes Ex Machina through the Santa Fe Institute Press, examining the topic of Coevolving Machines and the Origins of the Social Universe.
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