Nathaniel Whittemore

Everything happened inside my phone in five to six minutes.

Since it's my own article, I know it got most of the things right.

And yet, as I said at the beginning, probably the feature that people are most excited about is this Agent Swarm parallelization.

An example that Kimmy gave was adapting O. Henry's short story The Gift of the Magi into a 10-minute short film.

They asked it to generate a highly consistent storyboard script and embed it into an Excel file, which they said from a single prompt created a 100 megabyte Excel file generated with images with a total of 55 scenes.

Simon Willison writes, the self-directed agent swarm paradigm claim there means improved long sequence tool calling and training on how to break down tasks for multiple agents to work on at once.

He gave it the prompt, I want to build a dataset plugin that offers a UI to upload files to an S3 bucket and stores information about them in an SQLite table.

Break this down into 10 tasks suitable for execution by parallel coding agents.

He said the response was pretty good.

It produced 10 realistic tasks and reasoned through the dependencies between them.

Global Soul writes, tried Kimi Moonshot agent swarms and it is quite magical.

Basically, they gave Kimi a list of stocks and asked it to create a report that analyzes each from a variety of different factors.

They said it created individual files for each company, an overall summary, and finished the output for all companies in 10 minutes.

Swix also had an interesting experience in his testing.

He writes, Little detail from exploring the K2.5 agent swarm preview today.

I asked it to make a custom website for the Latent Space podcast, and despite it being trained to parallelize eagerly and having full permission to do so, it recognized that this was a noob task and did a highly competent job with one agent and refunded my credits.

This thing might be AGI.

I've never expected a parallel agent lab to use less than what it was trained or opted in to use.

In other words, just because it could use a parallel agent structure, it recognized that for certain tasks, it doesn't need that.

Client founder Saud Rizwan explains a little bit about what's going on in the background.