The models are getting smarter, faster, cheaper, and safer with each iteration. The AI models you're using today are the worst you'll ever use, and the future will be very different from today.

The performance of AI models has been doubling every six months, raising questions about whether we are nearing the end of the era of scaling or just at the beginning of a new paradigm that could revolutionize AI.

Current AI models are increasingly capable of solving a growing set of problems year-over-year due to algorithmic improvements and better hardware scaling.

Computer use represents a significant advancement for AI, allowing models to adapt to tools rather than requiring developers to create custom environments for each task.

The current advancements in AI suggest that we are not near a limit; the rate of change and new models indicates ongoing improvement.

The better the AI models become, the more opportunities there are for startups to leverage these advancements. Startups need to be proactive in building their products in anticipation of new model releases rather than reacting to them.

The expectation versus reality of AI adoption is often skewed; while expectations are high, the actual capabilities of current models may not meet those expectations, leading to a rapid adjustment in perception as models improve.

This new generation of AI will take on entire tasks that previously required teams or companies, prompting users to consider what they will create with computer use.

We're in an interesting time where the capabilities of AI models are far ahead of the products people have built. There's a huge opportunity for new innovations, especially as the cost of AI continues to decrease dramatically.