OpenAI (ChatGPT), StabilityAI, Anthropic (Claude) and Others Launch Impressive Tools that Generate Text, Art, Code and Smart ChatBots

Major competition among large language models and generative AI platforms: OpenAI (openai.com) created GPT, or Generative Pre-trained Transformer. It uses language-processing algorithms mined from massive numbers of gigabytes of data gathered by internet crawling, enabling it study digital data files (machine learning) in order to answer questions, write essays and summaries, translate languages, create memos or program computer code, among other tasks. (This process is known as “generative AI.”)

By 2023, OpenAI had accepted substantial investments from Microsoft. Importantly, it had launched leading-edge AI interfaces, including ChatGPT that are easy to use in the automated research and creation of text (such as magazine articles and business reports), art and graphics (such as illustrations for websites), music and even the writing of complex computer code.

In addition to ChatGPT, OpenAI’s other impressive AI-driven tools include Dall-E, for creation of art images and Codex, which utilizes AI to help programmers create lines of code. (Codex is the basis for Microsoft’s popular GitHub Copilot programming aid.) OpenAI launched a business version of ChatGPT called ChatGPT Enterprise in mid-2023, which focuses on enabling a large enterprise to query and get responses based on the organization’s own documents and data, while securing that data from use by outsiders. These tools make retrieval and use of internal data vastly more efficient and also enable extremely accurate online agents that provide answers to customer support questions.

OpenAI and Microsoft have many competitors in the generative AI arena, not the least of which is Google’s parent company Alphabet and owner of the DeepMind AI lab. Alphabet developed its own Smart Chat system. It was initially called Bard, but the name was changed to Gemini in early 2024. It is based on the firm’s long-standing project known as LaMDA, or Language Model for Dialogue Applications. Other pioneers include Stability AI, AI21 Labs, Character AI, Cohere, Runway, Hugging Face and Anthropic (backed with investments from Amazon, Google and others). Web services leaders like Amazon’s AWS and Baidu are also very active in AI-driven tools such as chatbots and automated computer code. China’s Baidu launched Ernie Bot in March 2023. China-based Huawei has also invested heavily in AI, including development of a Smart Chat bot. Watch especially for big leaps forward in AI-enhanced search engines as a result of this competition.

Copyright and Fair Use battles: The use of AI tools such as these that learn from documents, data, art and knowledge created through the labor of billions of humans (via machine learning), and then answer questions and generate new text, art, software code and other content on-the-fly within generative AI platforms is leading to significant debate as to copyrights, fair use and other aspects of ownership. Getty Images, a company that sells licenses for photos available for commercial use via its websites, sued Stability AI in courts in London, England claiming breach of copyright. In addition, the ability of students to use tools like ChatGPT to create essays and other homework is sparking significant controversy within the education sector. (Several tools exist to aid teachers and editors in determining whether or not text was generated by AI, but such tools are likely to lag behind the ever-growing capabilities of AI platforms.)

Enhancing Online Search: Meanwhile, SmartBots, including the ability of tools like ChatGPT to write intelligent answers and search results on-the-fly go far beyond writing essays and providing customer service. Microsoft is incorporating Chat AI into its Edge/Bing search tools, and Google launched similar search enhancements of its own. Product suggestions and search results on websites have become significantly more effective thanks to the incorporation of these AI tools. This will lead to systems that literally act as virtual salespeople, which will boost revenues at retailers and also increase customer satisfaction. The ability of these tools to study massive amounts of background and reference data (machine learning) could also lead to virtual teachers, counselors and business advisors.

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