Brad Lightcap, Chief Operating Officer at OpenAI, has announced that companies and individuals are showing excessive optimism about the potential capabilities and impact of artificial intelligence.
Lightcap pointed out that this technology is still in its early experimental stages and will require a long time to spread widely.
There are conflicting reports about the expected benefits of implementing artificial intelligence technology in improving companies’ performance at present.
Although artificial intelligence technology has brought about fundamental changes in individuals’ lives, some experts caution against expecting massive changes in the industry immediately upon using this type of technology.
In an interview with CNBC, Lightcap confirmed that companies that have engaged with OpenAI were hoping to solve their problems and reduce costs by using artificial intelligence products, and expected to regain growth during challenging periods. Despite believing that the technology will continue to improve, they see that there is no “magic solution” to using artificial intelligence to solve all problems, as this technology remains in the experimental stage and has not become an essential part of vital tools and applications.
OpenAI has released a special version of ChatGPT for companies, a robot that simulates conversations, with a promise to provide better levels of data protection and offer precise control options in the model.
Companies like OpenAI, Google, Amazon, and Microsoft have launched their commercial models of generative artificial intelligence, following concerns about data leaks. However, some employees in these companies complained about the difficulty of using the initial versions in their work tasks. For example, a report published by The Information site referenced complaints from Morgan Stanley bank employees about the AI chatbot developed in collaboration with OpenAI. Employees point out that targeted clients of financial managers do not rely on this robot, as people prefer to communicate with humans for information.
Initially, smart generation was expected to impact the media industry, news production, and similar fields, but initial tests led to inaccurate topics and excessive use of phrases, leading to opposition to this use and causing many institutions to reconsider their plans to make smart generation a core part of their operations.