Your guide to AI Nathan Benaich

Yesterday, I was the opening act at the MIT Tech Review EmTech Digital conference, where I spoke about how easy it is to miss step changes in AI progress among the day-to-day swirl.

This prompted a series of reflections, which I’ve laid out in this blog.

Guide to AI is an editorialized newsletter covering the key developments in AI policy, research, industry, and startups over the last month.

Produced by Air Street Capital.

Profluent releases the world’s first open source AI-generated gene editor.

You can read more in the New York Times: https://www.nytimes.com/2024/04/22/technology/generative-ai-gene-editing-crispr.html

We dive into data acquisitions strategies for AI-first start-ups, including scraping, synthetic data, annotation, labelling, simulation, data marketplaces, data sharing, gamification and more, with a focus on generative ai and deep learning.

In this piece we dive into why the analogy of "data is the new oil" is misleading. 

While it’s easy to brush this off, language matters, and the forms of short-hand we use have an outsized impact on how we perceive the world. 

This is only heightened when we approach the new and the unfamiliar. The number of AI-related analogies has exploded considerably in the past few years. At the same time, advances in capabilities have created a new generation of AI-first companies that are fighting to position themselves in emerging markets. 

Both these trends shed some light on the promise and perils of analogies and provide lessons for policymakers and entrepreneurs alike.

Welcome to the latest issue of your guide to AI, an editorialized newsletter covering the key developments in AI policy, research, industry, and startups over the last month.

By Air Street Capital