According to Odaily, ai16z co-founder Shaw recently shared insights on X, emphasizing that more powerful models are always beneficial for AI agents. Over the years, AI labs have consistently outperformed each other in benchmarks and capabilities, with Google, OpenAI, and Claude taking turns in the lead. Currently, DeepSeek is at the forefront. The trend shows that the world's largest and most well-funded companies are competing in a technology that is ultimately becoming free, open-source, and operable on home computers without cost.
The consistent winners in this race have been hardware and consumer products. Nvidia remains a constant victor, with each model optimized for its hardware. Apple also benefits, having invested in a unified memory architecture that allows high VRAM machines to run the latest models, albeit slowly. Products continue to gain from the latest models, with examples like Cursor and Perplexity improving significantly every few months. As AI integrates into nearly all products, they all benefit from cheaper and faster AI models.
AI agents represent a new application paradigm, with the core argument being that applications need to migrate to social media platforms where users are present. Agents can exist entirely on social media without requiring users to leave, benefiting from network effects with each user interaction. Integrating a new model into an agent framework typically requires only a few lines of code, as most model providers follow the same API conventions established by OpenAI, allowing this integration to be completed in minutes. This enables any agent application to access the latest models immediately, becoming smarter with each new state-of-the-art model.
This week marks a significant victory for everyone involved, including agents, humans, and AI model teams, who are now motivated to work harder and improve. Shaw expressed confidence in their position, stating that they are building the next version of Eliza, which will only get better. Thousands of teams are building on their technology, with over 500 contributors to the core repository, and this number is expected to grow as they continue to develop. They are creating a template for ambitious founders to crowdfund their public product projects, with more content to be launched in the coming weeks and months to solidify this strategy.