Lenny Rachitsky
Julie Zhuo
Josh Nicholson
Ben Stokes
Anu Hariharan
Jeremy Howard of fast.ai discusses the impacts of deep learning and AI now being accessible to people without PhDs in those spaces.
Takeaways from 30 successful marketplaces—including Uber, Airbnb, and Tinder—on when, where, and how to grow.
The a16z crypto deal partner dives down an AI rabbit hole, ponders web3 applications for streaming, and tracks the Ethereum Merge.
Sales enablement — the use of people, processes, and tech to improve sales productivity — is key for a well-oiled, agile, and high-performing sales machine.
The first half of 2022 saw momentum gains for a movement at the intersection of web3 and science: decentralized science (DeSci).
Seven pieces that cover some of the big ideas, movements, and research areas in crypto and web3 over the last several months.
A recap of artificial intelligence and machine learning coverage in Future so far in 2022, as well as the biggest advances in AI/ML research.
The author of Instagram's original ranking algorithm explains how social platforms pick content for users and why sharing more experiments could improve trust.
Daphne Koller explains why some fail the academia-to-biotech transition and identifies what we'll need for AlphaFold-level successes across biology and biotech.
Benefits and challenges of NFT memberships as a monetization channel, how creators are using them in practice, and more.