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2. ChatGPT - Wikipedia

   en.wikipedia.org/wiki/ChatGPT

   ChatGPT is a language model -based chatbot developed by OpenAI and launched on November 30, 2022. It can generate human-like conversational responses and enables users to refine and steer a conversation towards a desired length, format, style, level of detail, and language. [2] Successive user prompts and replies are considered at each ...

3. Mira Murati - Wikipedia

   en.wikipedia.org/wiki/Mira_Murati

   Mira has helped build some of the most exciting AI technologies we’ve ever seen, including ChatGPT, DALL-E, and GPT-4." [28] She was also included in Time's "100 Most Influential People in AI" in 2024. [30] In November 2023, Murati briefly took over as interim chief executive officer of OpenAI following the removal of Sam Altman from the job.

4. OpenAI plans to release 'Strawberry' for ChatGPT in two weeks ...

   www.aol.com/news/openai-plans-release-strawberry...

   Reuters had exclusively reported in July that ChatGPT-maker OpenAI was working on a novel approach to its AI mod. The Microsoft-backed AI company said last week it has more than 1 million paying ...

5. OpenAI says ChatGPT's weekly users have grown to 200 million

   www.aol.com/news/openai-says-chatgpts-weekly...

   August 29, 2024 at 2:40 PM. (Reuters) - AI startup OpenAI said on Thursday its chatbot ChatGPT now has more than 200 million weekly active users, double the number it had in the last fall season ...

6. Sam Altman - Wikipedia

   en.wikipedia.org/wiki/Sam_Altman

   In 2021, he wrote a blog post titled, "Moore’s Law for Everything," which stated his belief that within ten years' time, AI could generate $13,500 of monthly UBI in the United States. [107] In 2024, he suggested a new kind of UBI called "universal basic compute" to give everyone a "slice" of ChatGPT's computing power. [106]

7. OpenAI is showing that the AI race is survival of the richest

   www.aol.com/openai-showing-ai-race-survival...

   Since OpenAI launched ChatGPT in late 2022, it's become evident that making the large language models behind generative-AI applications smarter — a fundamental goal — is an expensive endeavor.