Limited Musings

Machine Learning interpretability:
AI’s next huge jump will come from integrating symbolic logic with ML-based neural network models. We’ll finally move from ‘black-box’ predictive AI towards AI models that can explain things in ways that we (humans) understand while retaining the immense capabilities that deep learning provides

Adding value as a deep-tech venture capital investor:
I am not a scientist, though I did get a degree in physics. But I have retained a scientific bent of mind, the inclination to understand new scientific ideas, and the academic background to evaluate scientific truths. I have the curiosity and the requisite scientific acumen to identify breakthrough innovations and understand how/why they work.
Simultaneously, I have deep professional expertise in helping commercial companies establish a strong market position. My consulting work focused on helping companies grow their top-line, from improving product development and ideation to creating a successful go-to-market strategy.
As an investor at a VC firm, this experience lends itself well to helping portfolio companies build the right growth strategy and understand their market whitespace. My business experience coupled with my background in the hard sciences will help me act as a bridge with deep-tech startup founders, allowing me to speak their language and build trust.
Working in strategy consulting involved getting smart on a new industry or business within just a few days. Similarly, I can rapidly build the knowledge required to evaluate a new sector or startup. The intellectual muscles to understand a new idea from first principles, to know what I don’t know, and to ask the right questions remain as sharp and valuable as ever.

Favorite xkcd post: https://xkcd.com/793
Reminds me why physicists are smart but not always correct. And to stay humble.