AI Is Harder Than We Think

Artificial intelligence has been all over headlines for nearly a decade, as systems have made quick progress in long-standing AI challenges like image recognition, natural language processing, and games. Tech companies have sown machine learning algorithms into search and recommendation engines and facial recognition systems, and OpenAI’s GPT-3 and DeepMind’s AlphaFold promise even more practical applications, from writing to coding to scientific discoveries… [SNIP] … This time may feel different than previous AI springs due to the aforementioned practical applications and the proliferation of narrow AI into technologies many of us use every day—like our smartphones, TVs, cars, and vacuum cleaners, to name just a few. But it’s also possible that we’re riding a wave of short-term progress in AI that will soon become part of the ebb and flow in advancement, funding, and sentiment that has characterized the field since its founding in 1956. [Source]

The AI Spring … and “4 Key Fallacies in AI Research