1 |
Why Applying Machine Learning to Biology is Hard – But Worth It |
2 |
Did We Overeat on Software? |
3 |
Our Cities Have an API Problem. Startups Can Fix It. |
4 |
Research Twice, Build Once: How to Know Your Users as You Grow |
5 |
Grow or Die: A Framework for Turning Your Company Around Fast |
6 |
What Synthetic Embryos Can and Can’t Do, Now and in the Future |
7 |
The Two Things We’ll Need for the Next AlphaFold |
8 |
A Guide to Decentralized Biotech |
9 |
What Is Negative Engineering? |
10 |
How to Use Massive AI Models (Like GPT-3) in Your Startup |
11 |
PlanetScale CEO on Cloud-Prem and Climbing the Engineering Ladder |
12 |
Info Diet: a16z Crypto’s Elena Burger |
13 |
7 Essential Ingredients of a Metaverse |
14 |
Data50: The World’s Top 50 Data Startups |
15 |
Why SQL Needs Software Libraries |
16 |
The Future of Search Is Boutique |
17 |
AlphaFold, GPT-3 and How to Augment Intelligence with AI (Pt. 2) |
18 |
How to Make Talent Scouts Work for You |
19 |
Cloud Wars & Company Wars: Play Nice, But Win |
20 |
Sales Enablement: The Underrated Cog of Enterprise Commercial Engines |
21 |
Product-Market Sales Fit (What Comes First?) |
22 |
Hopper CEO on Super-App Ambitions and Becoming an Everything Startup |
23 |
How Recommendation Algorithms Actually Work |
24 |
The Future of Kidtech: A Web Browser for the Under-10 Set |
25 |
Unbundling Digital Identity Unlocks New Ways to Play and Build |