He cited a 2022 paper from OpenAI as an example of “promising work on this front.” More recently, researchers at the Swiss Federal Institute of Technology in Zurich said they developed a method to detect some, but not all, of ChatGPT’s hallucinated content and remove it automatically.īut even Altman, as he markets the products for a variety of uses, doesn’t count on the models to be truthful when he’s looking for information. “I’m optimistic that, over time, AI models can be taught to distinguish fact from fiction,” Gates said in a July blog post detailing his thoughts on AI’s societal risks. Techno-optimists, including Microsoft co-founder Bill Gates, have been forecasting a rosy outlook. So I don’t know if it’s ever going to be perfect, but it’ll probably just continue to get better and better over time.” “I think they have to fix this problem,” Orlick said. He’s counting on companies like Google, which he says must have a “really high standard of factual content” for its search engine, to put a lot of energy and resources into solutions. Orlick said he knows hallucinations won’t be easily fixed. For someone concerned about accuracy, it might offer up Anthropic’s model, while someone concerned with the security of their proprietary source data might get a different model, Orlick said.
The Texas-based startup works with partners like OpenAI, Anthropic, Google or Facebook parent Meta to offer its customers a smorgasbord of AI language models tailored to their needs.
“We have customers all the time that tell us how it came up with ideas - how Jasper created takes on stories or angles that they would have never thought of themselves.” “Hallucinations are actually an added bonus,” Orlick said. Those errors are not a huge problem for the marketing firms that have been turning to Jasper AI for help writing pitches, said the company’s president, Shane Orlick. “Even if they can be tuned to be right more of the time, they will still have failure modes - and likely the failures will be in the cases where it’s harder for a person reading the text to notice, because they are more obscure.” “But since they only ever make things up, when the text they have extruded happens to be interpretable as something we deem correct, that is by chance,” Bender said. They are good at mimicking forms of writing, such as legal contracts, television scripts or sonnets. When used to generate text, language models “are designed to make things up. The latest crop of chatbots such as ChatGPT, Claude 2 or Google’s Bard try to take that to the next level, by generating entire new passages of text, but Bender said they’re still just repeatedly selecting the most plausible next word in a string. Many people rely on a version of this technology whenever they use the “autocomplete” feature when composing text messages or emails. It also helps power automatic translation and transcription services, “smoothing the output to look more like typical text in the target language,” Bender said. It’s how spell checkers are able to detect when you’ve typed the wrong word. “I guess hallucinations in ChatGPT are still acceptable, but when a recipe comes out hallucinating, it becomes a serious problem,” Bagler said, standing up in a crowded campus auditorium to address Altman on the New Delhi stop of the U.S. When Sam Altman, the CEO of OpenAI, visited India in June, the professor at the Indraprastha Institute of Information Technology Delhi had some pointed questions.
A single “hallucinated” ingredient could be the difference between a tasty and inedible meal. In partnership with India’s hotel management institutes, computer scientist Ganesh Bagler has been working for years to get AI systems, including a ChatGPT precursor, to invent recipes for South Asian cuisines, such as novel versions of rice-based biryani.
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The Associated Press is also exploring use of the technology as part of a partnership with OpenAI, which is paying to use part of AP’s text archive to improve its AI systems. Google is already pitching a news-writing AI product to news organizations, for which accuracy is paramount. Nearly all of the tools include some language component. Chatbots are only one part of that frenzy, which also includes technology that can generate new images, video, music and computer code. The McKinsey Global Institute projects it will add the equivalent of $2.6 trillion to $4.4 trillion to the global economy. A lot is riding on the reliability of generative AI technology.
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