Sarah Drinkwater
@sarahdrinkwater
Knowledge beachcomber interested in the ownership economy, flourishing communities, ecosystem building, magic, and knowledge as an end to itself.
Sarah Drinkwater
Future of software and AI tooling
One question kept coming up:
Why haven’t incumbent software providers been able to leverage their valuable data assets yet?
Both giants like Salesforce and growth-stage companies with 10+ years of collected data seem to be struggling to deliver truly differentiated AI experiences. Most of us would assume these companies are sitting on data gold mines that should give them a massive advantage. But is that actually true?
One perspective I found compelling: The historical data these companies have collected simply isn't the right kind to make AI models truly effective. The workflow data, outcomes data, or database info they've aggregated over the years might not be as useful as we'd think. What's most valuable in building agentic AI isn't just workflow data or outcomes data—it's a granular understanding of how humans actually perform tasks.
Third, most emerging fund managers do not have to worry about succession plans or manage an existing brand and track record. They can be focused on deliverying on their chosen strategy,
Francesco Perticarari • Why new VC funds offer the greatest opportunities in Venture Capital
Humane Tech and
Dirt raises $1.2M seed
dirt.mirror.xyz
Thoughts in Between: exploring how technology collides with politics, culture and society on Apple Podcasts
Daniel Grosspodcasts.apple.com
The Case for Software Criticism
wired.com
