Last Week in AI To PhD or not to PhD, AI Bias, Facial Recognition Ethics, GPT-3
Dec 3, 2020
The discussion opens with a hot debate on the pros and cons of pursuing a PhD in machine learning, featuring contrasting opinions. They dive into the pressing issue of bias in AI, stressing the need to ensure algorithms reflect society fairly. Ethical concerns surrounding facial recognition technology are highlighted, advocating for accountability in its use. Lastly, GPT-3 takes center stage with humorous yet unsatisfactory responses to profound questions, and its growing role in creative fields is examined, showcasing both its potential and challenges.
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PhD Considerations
- Carefully consider the variance in PhD experiences before starting.
- Research potential advisors, labs, and fields to ensure alignment with your goals and avoid future disappointment.
PhD Fit
- PhD experiences vary greatly; finding the right fit with advisors, labs, and fields is crucial.
- Unlike industry jobs, switching labs or advisors mid-PhD is difficult, so initial choices matter.
Ideal PhD Experience
- An ideal PhD offers intellectual freedom, expert support, and no immediate commercial pressures.
- This freedom allows exploration of interests with guidance from leading researchers, but with an opportunity cost.