Scientific endeavor is no match for corporate greed.
The world of AI research is in shambles. From the academics
prioritizing easy-to-monetize schemes over breaking novel ground, to the
Silicon Valley elite using the threat of job loss to encourage
corporate-friendly hypotheses, the system is a broken mess.
And Google deserves a lion’s share of the blame.
There were approximately 85,000 research papers published
globally on the subject of AI/ML in the year 2000. Fast-forward to 2021
and there were nearly twice as many published in the US alone.
To say there’s been an explosion in the field would be a massive
understatement. This influx of researchers and new ideas has led to deep
learning becoming one of the world’s most important technologies.
Between 2014 and 2021 big tech all but abandoned its “web first” and “mobile first” principles to adopt “AI first” strategies.
Now, in 2022, AI developers and researchers are in higher demand (and
command more salary) than nearly any other jobs in tech outside of the
C-suite.
But this sort of unfettered growth also has a dark side. In the
scramble to meet the market demand for deep learning-based products and
services, the field’s become as cutthroat and fickle as professional
sports.
In the past few years, we’ve seen the the “GANfather,” Ian Goodfellow, jump ship from Google to Apple, Timnit Gebru and others get fired from
Google for dissenting opinions on the efficacy of research, and a
virtual torrent of dubious AI papers manage to somehow clear
peer-review.
The flood of talent that arrived in the wake of the deep learning
explosion also brought a mudslide of bad research, fraud, and corporate
greed along with it....<<<Read More>>>..