Darren LI

2. The new stack for these applications centers on language model APIs, retrieval, and orchestration, but open source usage is also growing.

The Creator Economy value chain is simple: create content to build an audience and monetize that audience by selling subscriptions, merch, courses, access, and more.

For many users, LinkedIn is primarily an online resume. There are a few segments of users, however, which are, in fact, starting to “live” on the site. The primary group is executive recruiters. Because of the breadth and quality of LinkedIn’s member base, recruiters are using it to identify, contact and check references on passive job seekers –... See more

According to an advertising agency I consulted, for example, a weekly podcast that generates thirty thousand downloads per episode should be able to reach Kelly’s target of generating a hundred thousand dollars a year in income. Earning a middle-class salary by talking through a digital microphone to a fiercely loyal band of supporters around the... See more

I tell my AIs what to do. I push a button. They do it instantly and it costs me about $1.50 to $3.00 in OpenAI API charges.

This transformation begins with less-complex, one-off models (typically referred to as machine learning) to do simple tasks that are forgiving to mistakes; for example, Netflix using AI to recommend shows.

3. Companies want to customize language models to their unique context.

Currently we have single-threaded execution running at ~10Hz (tok/s) and enjoy looking at the assembly-level execution traces stream by.