🐙 Building Agents in 2026 (major updates!)

By Tina Huang

Categories: AI, Product

Summary

Open-source AI models have exploded in the past 3 months, unlocking new capabilities for agents that can now code apps, control computers, and maintain long-term memory - a dramatic shift from just a year ago.

Key Takeaways

1. Flagship AI models like GPT-5.2 and Chinchilla 4.6 have seen major performance improvements across benchmarks for coding, long-running tasks, advanced tool use, and reasoning.
2. The open-source AI ecosystem has exploded in the past 3 months, with new models like LLaMA, GLM-X, and Mistral available that unlock new agent capabilities.
3. Open-source AI models can now perform a wide range of functions independently, including coding applications and controlling computers, due to increases in contextual understanding and memory retention.
4. Developers should try out open-source AI models like LLaMA, GLM-X, and Mistral to explore the new agent capabilities unlocked by these recent advancements.
5. Agents built with the latest open-source and flagship AI models can now tackle longer-running tasks, use advanced tools, and demonstrate stronger reasoning abilities.
6. The explosive growth of open-source AI has dramatically shifted the landscape for building powerful, autonomous AI agents in the past 3 months alone.

Topics

• Open-Source AI Models
• AI Agent Capabilities
• Flagship Language Model Advancements
• AI-Powered Automation
• AI Development Landscape

Transcript Excerpt

Hello friends. How are y'all doing? Hello friends. Happy Valentine's Day. We have started. Can I get a mic check? We good? Wow. Okay. Wait, let me like quit my models. I think I'm running too many right now. Okay. Okay, that should be better. Okay, stream rate should increase now. Please increase. Is it increasing? No, it's not. Okay, I'm going to kill all my models. Okay, that should be better. I hope. Okay. Yeah. Okay. Is it? Be merciful to your models. Dang it. Okay. It should be good now. So...