Let AI work for you - Swarm by OpenAI

Multi-agent frameworks, insane productivity, and Tao's valuable comment.

Author

Martin Musiol
October 15, 2024 • Estimated Reading Time: 6 minutes

Hey, it’s Martin

In today’s issue:

  • I have tried out OpenAI’s Swarm AI, and it is great

  • Elon Musk’s undeniably insane productivity

  • The valuable insights from Terrence Tao, the greatest modern mathematician

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I have tried out OpenAI’s Swarm AI

.. and I give it 5 out of 5 stars. 😄 

What is it and why 5/5 ⭐️? It is OpenAI’s multi-agent framework. It is a lightweight implementation for AI Agent communication.

As Swarm is experimental and for educational purposes, it has fewer features like similar frameworks have, say CrewAI, AutoGen, and LangChain Agents.

Like in this demo, I implemented Swarm with my friend Claude in under 20 min. Here’s how:

Get the code here. 🙂 

swarm_cli.pdf22.13 KB • PDF File
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Elon Musk’s undeniably insane productivity

I don’t want to be an Elon fanboy, but this has to be mentioned.

After Friday’s We, Robot event, where Tesla unveiled the Robotaxi, Robovan, and an Optimus update, shocking both the car and robot industries, another of Elon Musk’s companies made a major launch.

SpaceX’s Super Heavy Rocket has literally been caught by a huge mechanic chop-stick structure they call Mechazilla!

SpaceX removed the landing legs to reduce the turnaround time for the Starship system.

On that note, I found this footage where Jensen Huang the CEO of Nvidia praises Elon Musk to be superhuman.

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What does Terrence Tao, the greatest modern mathematician, have to say about AI?

(Source)

Terence Tao is spot on—AI models need more data on failures and what doesn't work.

This image features a conversation highlighting the differences between human mathematicians and artificial intelligence. It emphasizes that human mathematicians become skilled through trial and error, learning from mistakes and figuring out what doesn’t work, while AI lacks access to this type of experiential data. The discussion further explores whether AI can surpass humans in creative mathematical research, concluding that while AI may become useful assistants for solving data-driven problems, they do not share the human ability to learn through mistakes.
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Dario’s essay called “Machines of Loving Grace“

Anthropic CEO Dario Amodei shared an optimistic essay on how AI could transform society in 5-10 years, covering topics like longevity, politics, work, and the economy.

It is a nice utopian vision, but I have a couple of thoughts on it.

Should I elaborate on the essay "Machines of Loving Grace"?

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That’s a wrap! I hope you enjoyed it.

Martin

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