AI at Work
In a short span of time, artificial intelligence has gone from a pipe dream to a ubiquitous feature. What does that mean for industries, workers, and consumers?

AI, once an ambiguous science fiction trope, has become an ambiguous business buzzword, as every technology product races to implement what Silicon Valley thinks is the greatest innovation since the internet. But lost in the conversation are stories about the people building it and using it. If large language models and automated systems will, indeed, upend labor and capital, what does it actually look like in practice? In this package, we’ll explore the ways AI functions today: how people are using it, where it fails and where it succeeds, and what it actually means when we say “artificial intelligence.”

For decades, robots.txt governed the behavior of web crawlers. But as unscrupulous AI companies seek out more and more data, the basic social contract of the web is falling apart.

Large language models can do a lot of things. But can they write like an 18th-century fur trader?


When it comes to AVs, the landscape is littered with over-optimistic predictions and missed deadlines. What happened?

Digital watermarks may be the most hyped solution to many of the social problems posed by generative AI.

Bloomberg reports Apple has ‘ramped up’ development of an AI-powered code completion tool that’s similar to Microsoft’s GitHub Copilot.

OpenAI’s latest model takes text prompts and turns them into ‘complex scenes with multiple characters, specific types of motion,’ and more.

Gemini, formerly Bard, could already hold its own against ChatGPT Plus, and its more advanced Gemini ultra-powered version makes it even more powerful.

To prevent an unjust future, disabled people must become key stakeholders in the development of artificial intelligence.

Slack is launching a bundle of AI features for enterprise plans, which should save you from wading through dozens of old messages to get up to speed on what you missed.

As its chatbot gets more powerful, OpenAI is also letting it get more personal. But it says users are still in control.


For decades, robots.txt governed the behavior of web crawlers. But as unscrupulous AI companies seek out more and more data, the basic social contract of the web is falling apart.

Large language models can do a lot of things. But can they write like an 18th-century fur trader?


When it comes to AVs, the landscape is littered with over-optimistic predictions and missed deadlines. What happened?

Digital watermarks may be the most hyped solution to many of the social problems posed by generative AI.

Bloomberg reports Apple has ‘ramped up’ development of an AI-powered code completion tool that’s similar to Microsoft’s GitHub Copilot.

OpenAI’s latest model takes text prompts and turns them into ‘complex scenes with multiple characters, specific types of motion,’ and more.

Gemini, formerly Bard, could already hold its own against ChatGPT Plus, and its more advanced Gemini ultra-powered version makes it even more powerful.

To prevent an unjust future, disabled people must become key stakeholders in the development of artificial intelligence.

Slack is launching a bundle of AI features for enterprise plans, which should save you from wading through dozens of old messages to get up to speed on what you missed.

As its chatbot gets more powerful, OpenAI is also letting it get more personal. But it says users are still in control.














