ChatGpt Competitors and the Implications for AI

OpenAI’s chatbot, ChatGpt, has become one of the most famous algorithms, but its artificial intelligence (AI) techniques are neither unique nor secret. Several ChatGpt Competitors’ projects and open-source clones could soon be available, making similar bots that anyone can copy and reuse. Stability AI, a start-up that has already developed advanced open-source image generation technology, is working on a direct competitor to ChatGpt. Other competitors, such as Anthropic, Cohere, and Ai21, are also developing similar chatbots to OpenAI.

The impending wave of sophisticated chatbots will make the technology more varied and affordable for consumers, as well as more accessible to businesses, developers, and AI researchers. This, in turn, could accelerate the race to monetize AI tools that can generate images, program, and write texts. Established companies such as Microsoft and Slack are already incorporating ChatGpt into their products, and many start-ups are rushing to take advantage of ChatGpt’s new developer API. However, the wider availability of the technology could also complicate research aimed at predicting and mitigating associated risks.

ChatGpt Competitors The researchers’ concerns.

ChatGpt’s ability to provide convincing answers to a wide range of questions sometimes causes the service to invent facts or take problematic positions. The chatbot can also help carry out harmful activities such as producing malware or disinformation campaigns.

For these reasons, some researchers have called for slowing down the diffusion of similar systems to evaluate their risks: “There is no need to stop research, but we could certainly regulate its large-scale diffusion,” says Gary Marcus, an AI expert who has tried to draw attention to issues such as disinformation generated by these systems. “For example, we could require studies on a hundred thousand people before making these technologies accessible to a hundred million people.”

Ethical Concerns Arise with the Proliferation of ChatGpt and Similar AI Technologies

Greater availability of systems like ChatGpt and the launch of similar open-source versions would make it more difficult to limit research or wider applications. The competition between large and small companies to integrate ChatGpt or create equally powerful alternatives also betrays a lack of willingness to slow down and seems to incentivize the proliferation of technology. Last week, LLaMA, an AI model developed by Meta and similar to the one underlying ChatGpt, leaked online after being shared with some academic researchers.

The system could be used as a building block for creating chatbots, and its launch has raised concerns that large language models and chatbots built on them, such as ChatGpt, could be used to generate disinformation or automate cyber security breaches. Some experts argue that the alarm is excessive, while others suggest that making the technology more transparent will help counter abuses. Meta declined to answer Wired US’s questions about the leak, but the company’s spokeswoman, Ashley Gabriel, issued a reassuring statement: “While the model is not accessible to everyone and some have tried to bypass the approval process, we believe that the current release strategy allows us to balance responsibility and transparency.”

OpenAI Leads the Way

ChatGpt uses text generation technology that has been available for several years to mimic human writing ability. This technology extracts patterns from vast amounts of text, mostly collected from the web. OpenAI realized that this same technology could be used to create a chatbot that can generate convincing responses to users’ questions, making the chatbot seem almost human-like. ChatGpt has undergone several iterations, each with increasing capacity and sophistication.

The latest version, ChatGpt-3, has made headlines for its ability to generate natural language text that can mimic human-written responses. The technology’s potential applications are vast, from personal assistants to content creation and customer service. The chatbot’s ability to communicate and interact with users in a human-like way has captured the imagination of businesses and the public alike.

At the same time, similar chatbots could democratize access to artificial intelligence, allowing smaller or less financially stable companies to take advantage of the same technologies used by giants like Microsoft or Google. This could in turn lead to more innovation and competition and potentially increase the diversity of solutions and approaches to the problem of creating artificial intelligence systems.

However, it is also important to note that the adoption of these technologies requires a high level of technical expertise, which could limit the spread of chatbots in certain sectors or regions of the world. Furthermore, most currently available chatbots are still based on text-based interaction, which limits their applicability in certain contexts.

The need for a responsible approach

Regardless, we need to consider important ethical and social issues raised by the increasing availability of ChatGpt Competitors. As Marcus noted, “technology is not inherently good or bad, but its use determines its impact. It is therefore important that the artificial intelligence community, together with governments, non-governmental organizations, and other actors, work together to develop a responsible approach to the deployment of these systems.