Johann Van Tonder
@jvt
20 years in ecommerce, now CEO of a CRO agency. Probably doing analysis in R or building stuff with AI. Or walking on the beach. Yeah, probably that.
Johann Van Tonder
Don’t aim to impress. Aim to educate.
As a presenter, if my intention is to impress, perform, or entertain, I’m going to be nervous because my focus is on me.
If, however, my intention is to educate my audience on a vision, idea, or insight that will bring real value to their lives and/or their business, my focus is on them. As a result, I relax and
CEO’s job: “connect the company’s purpose to its strategy and operating model”
Bain & Co
https://www.bain.com/insights/revitalizing-joy-to-remain-relevant-video/
Kruschke began his (2015, p. 1) text with “This book explains how to actually do Bayesian data analysis, by real people (like you), for realistic data (like yours).
1 What’s in This Book (Read This First!) | Doing Bayesian Data Analysis in brms and the tidyverse
Even if LLMs don’t get smarter (though I suspect they will, and soon) new capabilities and modes of interacting with AIs, like agents and massive context windows, will help LLMs do dramatic new feats.
Ethan Mollick • Which AI should I use? Superpowers and the State of Play
Ethan Mollick
@emollick Put in the reps. If you aren't hitting the chatGPT cap multiple times a day, you have 0 business reading a research paper
The open area of research is what can we use LLMs for, not how do we build better LLMs
and the papers are outdated anyways
“The fact that these things model language is probably one of the biggest discoveries in history. That you (LLM) can learn language by just predicting the next word … — that’s just shocking to me.”
- Mikhail Belkin, computer scientist at the University of California
Most times, the best way to create value is continue to double down on the domain-specific insights you've collected over your entire career.
Nikita Bier • Tweet
A few places you should probably use AI to help you, based on the research we have (but do whatever you want):
-Idea generation
-Writing (not writing for you, maybe, but second opinions/proofing/etc)
-Advice/finding frameworks to solve problems
-Summarizing documents & meetings
“Your data is only relevant in so far as it matches your (research) question”
- Dr Laura Bronner