To improve how their AI models learn, Anthropic and Microsoft-backed (MSFT) OpenAI have focused on two main strategies. First, they train models using fake versions of apps, called “gyms” or reinforcement learning environments. Second, they hire real-life experts from different fields to teach the models new information. These methods have been successful so far, but according to The Information, it’s getting harder for humans to find tasks that these models can’t already do.
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For example, a linguist who worked on OpenAI’s o3 model last year said that he used to find three or four tasks per week that the AI couldn’t solve. Now, working with the newer GPT-5, he’s only finding one or two. Other experts, like those in biology or chemistry, are still having some success finding things the model can’t do, but even that is becoming more difficult as models advance. In addition, the tasks themselves have become extremely complex.
For instance, a chemistry question asked the model to find a research paper using detailed molecular data, locate and cite documents, reformat computational structures, and analyze chemical similarities. Most people, especially those without advanced degrees, couldn’t even begin to answer it. As a result, this raises a new issue: as models get smarter, OpenAI and Anthropic will need even more highly specialized experts to train them. But convincing professionals with decades of experience, or even Nobel Prize winners, to spend time teaching these models may be tough.
Is MSFT Stock a Buy?
Turning to Wall Street, analysts have a Strong Buy consensus rating on MSFT stock based on 34 Buys and one Hold assigned in the last three months. In addition, the average MSFT price target of $625.78 per share implies 23.1% upside potential.
