The Agent Labs Thesis
Published:Nov 18, 2025 02:41
•1 min read
•Latent Space
Analysis
The article from Latent Space discusses a new approach to building high-growth AI startups, focusing on Agent Engineering and Research rather than solely relying on training state-of-the-art Large Language Models (LLMs). This suggests a shift in the AI landscape, potentially emphasizing practical applications and innovative architectures beyond the traditional LLM-centric model. The focus on 'Agent Engineering' implies a move towards more autonomous and goal-oriented AI systems, which could lead to more efficient and specialized AI solutions. This approach could also lower the barrier to entry for AI startups by reducing the need for massive computational resources required for LLM training.
Key Takeaways
Reference
“The article highlights a new playbook for building high growth AI startups.”