Excited to introduce @cosign: the curated professional network for the startup community: cosign.co
Our goal is to create the following:
- A comprehensive startup directory of investors, companies, and operators, including what they worked on and who they worked
Mark Pincus, founder of @zynga, on "proven, better, new," the product framework that was Zynga's religion:
1. Proven: start with what 10/10 existing users of a category already love, and don't change it.
"You do not have the right to change proven. You have not taken enough
SR008 APPS ARE OPEN. Up to $1M + $10M+ in credits. 12 weeks in SF, Feb through April. Built to help you land capital, customers and talent. Apply by Nov 1: speedrun.a16z.com/apply
Aaron Levie of @Box on why AI widens the gap between experts and everyone else, and what that means for college students:
"The biggest gains of AI go to people who have some degree of expertise in an area, to know what is actually true, what is not gonna work, 'What should I
Jad Naous of @grepr_ai on how AI is widening the gap between okay and great engineers:
"Some people were adapting and learning and others weren't as adaptive. And then as we started hiring more people into the team, that disparity between okay engineers and really good engineers
Ben Horowitz on the two skills that will matter more than ever before in an AI world: creativity and relationships.
"I think those are things that are hard to get out of today's AI in a very good way. So if you don't have instincts around those things, I don't know if all the AI
SR008 APPS ARE OPEN. Up to $1M + $10M+ in credits. 12 weeks in SF, Feb through April. Built to help you land capital, customers and talent. Apply by Nov 1: speedrun.a16z.com/apply
Ben Horowitz on what it would take to actually see an AI "fast takeoff" scenario, using a framework from Databricks CEO @alighodsi:
1. Each new model needs far fewer GPUs than the last
2. Each new model takes less time to train
3. Each new model is more accurate than the last
4.
Ali Ghodsi of @databricks on the four conditions that would have to hold for AI to truly improve itself:
"The next model requires less resources, less GPUs to train... The second condition: the next model takes less time to train as well. Third, accuracy of the model, the
