The same questions I ask in a due diligence, worked through in public: in articles, and on stage for boards, investors and leadership teams. See the talks
we are well aware of model drift, where the input variables (the real world), over time, become different from the data distribution the model was trained on. It’s not so much the model that drifts here but rather the input data.
With LLMs the models themselves also ‘drift’ in that
When typing this question into ChatGPT I was impressed by the response that suggests deep insight into the relationship between the shape, weight and strength of a manhole cover, the challenges to manufacture and manipulate it as well as worker safety concerns. Surely an AI needs a model of the world and true reasoning capability to arrive at this answer?
19/10/2023 I did a keynote on AI past, present & future for the A&O partners and participated in the super interesting work session discussing the...
4/10/2023 Keynote and discussion on accelerated value creation with AI for the Heran Partners annual meeting with portfolio company leadership and LPs. BTW....
23/8/2023 talk and discussion on the value of AI on private equity across the whole investment lifecycle, including sourcing, pre-LOI & DD, as well as...
15/10/2022 BEYOND HYPE AND FEAR: HOW TO EMBRACE AI AS A PURELY PRACTICAL TOOL The use of AI by companies suffers from unrealistic expectations and...
From board briefings for Allen & Overy and Summa Equity to TEDx, CIONET and THINK Oslo. Each links to the story behind the talk.
“Thank you Wouter for the brilliant speech and thoughts yesterday. It got us all thinking and there was a lot of discussion about it during the dinner afterwards.”
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