The popularity of ChatGPT, a machine learning algorithm developed by OpenAI, has led to the creation of competing projects and open source clones. Many startups, including Stability AI, Anthropic, Cohere, and AI21, are developing proprietary chatbots similar to OpenAI’s bot. Stability AI plans to release its open competitor to ChatGPT in a few months. The impending surge in advanced chatbots will make the technology more accessible to AI businesses, developers, and researchers, and it could hasten the quest to make money with AI tools that generate images, code, and text.
While established companies like Microsoft and Slack have integrated ChatGPT into their products, critics warn that the algorithm’s ability to provide convincing answers to a wide range of queries sometimes makes up facts or adopts problematic personas. For example, it can be used to produce malware code, spam, or disinformation campaigns that could harm society. As a result, some researchers have called for slowing down the deployment of ChatGPT-like systems while the risks are assessed. Gary Marcus, an AI expert, suggests regulating widespread deployment and conducting studies on 100,000 people before releasing the technology to 100 million people.
Although wider availability of ChatGPT-style systems and open source versions would consume research and complicate efforts to limit deployment, competition from companies incentivizes proliferation of the technology. For instance, LLaMA, an AI model developed by Meta and similar to the one at the core of ChatGPT, was leaked online after being shared with some academic researchers. The system could be used as a building block in the creation of a chatbot, and its release sparked fear that it could fuel disinformation or cybersecurity breaches.
Some experts argue that such risks might be overblown, and others suggest that making the technology more transparent will help others guard against its misuse. Regardless, the popularity of ChatGPT and its clones confirms the growing interest in machine learning algorithms that can generate text, code, and images. As the technology becomes more accessible, the challenge for society will be to identify and manage its risks while harnessing its potential to drive innovation and progress.
Competing Chatbot Projects and Open Source Clones Challenge ChatGPT
OpenAI’s ChatGPT algorithm has become increasingly popular, leading to the development of competing projects and open source clones. Stability AI, Anthropic, Cohere, and AI21 are among the startups creating proprietary chatbots similar to ChatGPT, and Stability AI plans to release its open competitor in the near future.
The Imminent Surge in Advanced Chatbots
The rise in competing chatbot projects and open source clones is expected to make the technology more accessible to AI businesses, developers, and researchers. This development could accelerate the growth of AI tools that generate text, code, and images. Established companies like Microsoft and Slack have already integrated ChatGPT into their products, while many startups are building on top of a new ChatGPT API for developers.
The Risks of ChatGPT and Similar Algorithms
Despite the popularity of text-generating algorithms like ChatGPT, they pose risks to society. For example, their ability to provide convincing answers to a wide range of queries sometimes leads to the generation of misinformation, spam, or disinformation campaigns. Some researchers have called for slowing down the deployment of ChatGPT-like systems to assess risks, while others suggest regulating the widespread deployment of such systems. The challenge for society is to identify and manage risks while harnessing the potential of these technologies to drive innovation and progress.
Transparent Technology to Guard Against Misuse
Experts have different opinions on whether the risks of ChatGPT and similar algorithms are overblown. Some argue that making the technology more transparent might help others guard against their misuse. Regardless, the increasing popularity of ChatGPT and its clones underscores the growing interest in machine learning algorithms that generate text, code, and images.
Competing Chatbot Projects and Open Source Clones Confirm Interest in AI Technology
The proliferation of competing chatbot projects and open source clones confirms the growing interest in machine learning algorithms that generate text, code, and images. As the technology becomes more accessible, the challenge for society will be to identify and manage its risks while harnessing its potential to drive innovation and progress.
