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First principles of AI: Machine learning; supervised learning; classification; categories. Not so much of a black box really, but it's ever important to shed light on the practices of placing things in boxes, i.e. category work. #explainableAI #ethicalAI
"One thing that excites us is when you find people that are interested in the work, that are not interested in the scene, in the hype." -@danielgross
My spiel here linkedin.com/feed/update/urn…
Have a point of view that's true to what you build.
Spot-on @danmartell
Tor retweeted
🎉 Launching online today:
"Calculating Empires: A Genealogy of Technology and Power since 1500."
Dive into our large-scale interactive visualization exploring how technical and social structures co-evolved over five centuries. 🧵 calculatingempires.net/
Still one of the most relevant definitions: Sustainability refers to the ways we can meet “the needs of the present without compromising the ability of future generations to meet their own needs” (Brundtland, 1987). #Sustainability
Tor retweeted
The paradox of automation and why improvements in technology can lead to worse results
Via Tim Harford in FT
Tor retweeted
Doing interesting things for interesting people is as much a purpose
via Russell Davies ft. Nicholas Walt, L. Cornelissen & Son
Scholars point to human-AI collaboration as "the key managerial issue of our time" as humans are entering the loop of AI en masse and organizations are re-designing to make humans and AI work together in effective and ethical ways. linkedin.com/pulse/why-hedgi…
We thought strategy creation was for MBAs, but really it’s for sociologists, ethnographers, philosophers …
medium.com/@tor/strategy-is-… #strategy
We thought design thinking was dead, but then came the data aftermath. Here are some thoughts on why hedging human-centered design is a bad idea linkedin.com/pulse/why-hedgi… #strategy #design #innovation
We thought data was about the future, but really it's about the past. Shoutout @markpollard @RogerLMartin
'AI transformation': 1. Do you use AI to transform your organization? 2. Or do you transform your organization to make it work with AI?
This makes me curious about any tension between AI and Culture, especially if culture is drawn toward authenticity and distinctiveness. ChatCPT has a 'style' that is recognizable to the human eye.
Marketing Trends 2024:
1. AI will find a way
2. Culture comes first
3. Brand control vs cancel culture
4. Making sense of attention and emotion
5. Holistic measures of success
6. Radical innovation to boost sustainable brand growth
... via @Kantar kantar.com/campaigns/marketi…
To understand the workings of AI, we must understand their input data, and to understand the data, we must understand humans. Because all data are socially constructed, interests and biases included.
Marketing Trends 2024:
1. AI will find a way
2. Culture comes first
3. Brand control vs cancel culture
4. Making sense of attention and emotion
5. Holistic measures of success
6. Radical innovation to boost sustainable brand growth
... via @Kantar kantar.com/campaigns/marketi…
On #6, over half of marketers (57%) agree that they need to innovate for competitive advantage in sustainability.
VC’s calling the people of their portfolio companies’ ‘family’.. when their real families are longing for their presence.
Big idea! Just in time to counter the culture of scaling and incrementalism, and why the theory of Disruptive Innovation might just come back stronger than ever: bryce.medium.com/were-sellin… Hats off to @bryce
Tor retweeted
Very cool to see @indievc is back! 🙌
Also interesting that investment #1 is on a standard SAFE. At @calmfund we've had a similar experience and the majority of deals we've done recently have been on a SAFE + a Shared Earnings side letter (in the event that the business become profitable while the SAFE is still unconverted).
We also found that there was way too much emphasis on and misunderstanding of the Shared Earnings Agreement structure we used. I always said we were a fund for investing in calm companies, and the SEAL was just a tool to create better alignment, but too often founders & investors perceived the structure as the strategy.
On top of that, while many founders were excited about a structure with more alignment, LPs (in particular large ones) absolutely do not want to see innovative structures that they have to understand and underwrite from scratch. And even with some founders, and their accountants, we found that the friction of explaining a novel deal structure would sometimes outweigh the better alignment.
We still definitely do classic SEAL investments structures, particularly when founders really value the ability to effectively repurchase some equity over time via Shared Earnings (profit share). But we're finding more often than not that convertible equity + a pro rata right to profit sharing, all of which converts to normal preferred equity if you raise a follow-on round, is the best option.









