ChatGPT Role Impact on AI Mainstream
2023 was AI-year. After launching in November 2022, ChatGPT Role became one of the fastest-growing apps, acquiring 100 million monthly users in two months. After Bill Gates stated in January that AI will be the hot issue of the year, a number of firms launched with AI tools that could make synthetic speech and videos. Since ChatGPT role was questioned to replace Google search at the start of the year, AI has advanced.
“My focus is on thinking beyond search…Do we do something absolutely different and cooler?'” OpenAI CEO Sam Altman told Forbes in January.
Venture capitalists invested billions in the field due of rapid technology improvements. Microsoft’s $10 billion investment in OpenAI, now valued at $80 billion, led the way. In June, high-profile AI firm Inflection launched its AI chatbot Pi and raised $1.3 billion at $4 billion. Hugging Face, which hosts thousands of open-source AI models, was worth $4 billion a month later. Amazon stated in September that it would invest $4 billion in OpenAI rival Anthropic, which launched its conversational chatbot Claude 2.0 in July and is now worth $25 billion.
Not all AI founders have had easy fundraising. After raising $1 billion in September 2022 for its popular text-to-image AI technology Stable Diffusion, Stability AI has struggled to raise since. In June, Forbes discovered that CEO Emad Mostaque misled investors about his credentials and potential ties. Stanford detected illicit child sexual abuse material in Stable Diffusion’s training dataset in December.
The AI gold rush also created unicorns like Adept, which builds AI assistants that can browse the internet and operate software, and ChatGPT role, which 20 million people use to create and converse with AI chatbot characters like Taylor Swift and Elon Musk. Typeface, Writer, and Jasper, enterprise-focused generative AI businesses that automate email authoring and document summarization, have also received money. Google was caught off guard by the AI tool race. The internet giant unveiled its conversational AI chatbot Bard and AI model Gemini late this year.
In the past year, AI has permeated almost every aspect of existence. The most popular U.S. school districts banned ChatGPT Role because teachers believed pupils would cheat on schoolwork. Generative AI was used for notetaking, grunt work, and patient diagnosis by doctors and hospitals. Some politicians employed AI to communicate with voters, while others used generative AI to construct deep fakes of their opponents.
AI-generated content swamped the internet, raising fears about hazardous content using freely available AI techniques. Generational AI-generated fake news stories went viral on TikTok and YouTube, and nonconsensual AI-generated porn on Reddit and Etsy. While ChatGPT Role flooded the web with low-quality AI-generated content, freelancers worried they would lose their gigs to the buzzy new AI software that could produce content faster and cheaper than people.
Companies employed AI chatbots to evaluate, interview, and attract personnel, prompting concerns about biases and hazards. ChatGPT Role helped cybercriminals write malware code and monitor social media. To address these issues, Microsoft and Google engaged red teams to jailbreak and secure their AI models.
“There are still a lot of unsolved questions,” said MIT CSAIL electrical engineering and computer science professor Regina Barzila. “We need tools to discover issues and biases in these datasets and meta AI technologies to regulate AI and make us much safer with AI.”
In 2023, artists, writers, and coders sued OpenAI, Stability AI, and Anthropic for copyright infringement, claiming these technologies used their original content without license or payment. Legal analyst Edward Klaris expects these class action cases will allow the U.S. Copyright Office to adopt new nuanced AI fair use regulations in 2024.
AI transactions abound in the legal sector. Klaris, CEO and managing partner at IP rights legal company KlarisIP, said some people are outraged that their work was scraped to create training data and want to license their content to AI businesses and get paid.
After the EU AI Act sought to regulate the technology, the Biden administration issued an executive order mandating startups creating huge AI models that potentially threaten national security to notify the government. Tech firms backed the executive order, but entrepreneurs worried it would slow innovation.
“The executive order formulated principles, which is good to articulate, but it doesn’t really translate to how do we take these principles and translate them into some technology or guardrail that helps us ensure that the tool we’re using is really safe,” Barzilla said.
Artificial intelligence leaders split in 2023 about whether big businesses like Google, OpenAI, and Anthropic should develop AI technologies openly or privately. Since anyone could misuse open-sourced AI models, safety concerns have been raised. Others, like Meta AI’s Chief Scientist Yann LeCun, who oversaw Llama 2’s development, support open-source AI stress testing.
Clement Delangue told a press event that open-source large language models will match closed-source models by 2024.
In late November, OpenAI’s board of directors fired CEO Sam Altman for not being “candid” with their representations, revealing an internal disagreement. After employees threatened to leave if Altman did not return, he was restored as CEO a few days later. Bret Taylor and Larry Summers joined the board as additional directors.
Delangue said the economics of AI, particularly how AI businesses will earn money and profit margins, will be the biggest questions in 2024. Since most AI models are trained on massive volumes of data using GPUs like Nvidia and AMD, they are becoming more expensive and carbon-intensive. Delangue predicted that most companies will understand that smaller, cheaper, more specialized models are better for 99% of AI use cases by 2024.
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