The recent release of OpenAI’s ChatGPT Pro has sparked debates about its true value. As AI becomes more integrated into our lives, the concept of ‘intelligence too cheap to meter’ seems closer than ever. However, as one former OpenAI executive, now at Google, Logan Kilpatrick, pointed out, consumer willingness to pay for AI is likely to increase significantly in the coming years. This raises the question of whether the current price point for ChatGPT Pro, which includes the o1 Pro model and costs $200 per month, is a disruption or just the beginning of a larger revolution.
Some have questioned whether the cost of the o1 Pro model is truly justified, as it may not be accessible to everyone. OpenAI’s CEO Sam Altman clarified that the $200/month tier is best suited for a small percentage of users who require a high level of intelligence for complex problems. For most users, the free tier or the $20/month tier will suffice. However, OpenAI believes that the o1 Pro model offers more reliable and comprehensive responses, particularly in fields such as data science, programming, and case law analysis. It has also outperformed other models on challenging machine learning benchmarks in areas such as math, science, and coding.
The o1 Pro model is expected to play a crucial role in sectors like health sciences, where it can assist in the search for cures for rare diseases. For example, Derya Unutmaz, a professor at The Jackson Laboratory, shared on X that he is using o1 Pro for a cancer therapy project. He explained that the model helped him propose a groundbreaking idea to simulate T-cell exhaustion, taking into account the time-based progression of the process. This approach, similar to the Battle Royale game, challenges players to adapt to escalating obstacles. Matt Shumer, CEO of HyperWrite AI, also praised the o1 Pro model on X, stating that it is a powerful tool for complex coding tasks, especially when other models struggle or fail.
Other users have also reported successful use of the o1 Pro model, such as Deedy Das, a VC at Menlo Ventures, who used it to solve NYT Connections, a simple game where players group words into categories. OpenAI researcher Noam Brown also mentioned in a recent podcast that he uses o1 Pro for complicated coding tasks.
In conclusion, the o1 Pro model has shown promising results in various fields and has the potential to unlock scientific breakthroughs. While its high cost may limit its accessibility, it is a powerful tool for those who require a high level of intelligence for complex problems. As AI continues to advance, it will be interesting to see how the o1 Pro model and other similar models will shape the future of AI.
