When I first heard about the concept of a Career Fair in my freshman year at Caltech, I half-joked to my friends, “I don’t want a career!” I came to college to learn math and science, and was quite honestly disgusted with classmates who would choose their course loads, student groups, or volunteer opportunities for the sole purpose of looking good on a resume.
This didn’t mean that I resisted growing up or planning ahead. I suspected I would want to go to graduate school, so I spent my first two summers doing research in my two favorite fields: math and chemistry. After all, this looked good on a grad school application for precisely the right reason: Experience doing research would prove to both myself and graduate admissions committees that I would thrive there.
During the rest of the year, I tried to learn all the things. I took the more difficult options for physics and biology requirements in addition to numerous advanced math and chemistry classes as a freshman and sophomore. I even sat in on the first few weeks of the main major-specific classes for astronomy and biology my sophomore year before the workload of organic chemistry lab caught up to me.
Over the last couple of weeks, I’ve been fascinated and inspired by an important milestone at the cutting edge of Artificial Intelligence: The first 11 games of StarCraft played between professional StarCraft players and AlphaStar, a team of AI StarCraft agents built by DeepMind, the team behind previous expert-defeating game-players AlphaGo and AlphaZero.
It started with this 5-minute teaser video put out by the DeepMind team a couple of weeks ago:
If you’re as hooked by that teaser as I was, you might enjoy the full demonstration video with famous StarCraft casters Artosis and RotterdaM:
Finally, if you’re more able to read than watch, I’d recommend DeepMind’s write-up. Spoilers coming ahead…