OpenAI: The OpenAI/Google Race to Enlarge the Internet Sentiment: A Case Study of a New Race for AI Languages
Last November, Openai launched the internet sensation, who’s name is listed on the internet sensation list. Its ability to answer complex questions with apparent coherence and clarity has many users dreaming of a revolution in education, business, and daily life. The tool is prone to making things up and it does not understand the information it serves up.
Reddy, CEO of Abacus. The ability of a company to answer questions about love or cocktails made from fresh fruit is something that many programmers like to use. A company is trying to find a way to help write technical documents. “We have tested it, and it works great,” she says.
OpenAI has not released full details on how it gave its text generation software a naturalistic new interface, but the company shared some information in a blog post. It says the team fed human-written answers to GPT-3.5 as training data, and then used a form of simulated reward and punishment known as reinforcement learning to push the model to provide better answers to example questions.
“We are absolutely looking to get these things out into real products and into things that are more prominently featuring the language model rather than under the covers, which is where we’ve been using them to date,” said Dean. It is very important that we get this right. Pichai added that Google has a “a lot” planned for AI language features in 2023, and that “this is an area where we need to be bold and responsible so we have to balance that.”
The CEO of Microsoft claimed the new features showed a paradigm shift in search. He said, “in fact, a new race starts today.” Nadella is right: Google announced on Monday that it will roll out its own rival chatbot, a product called Bard, although it will not initially be part of Google Search.
OpenAI, too, was previously relatively cautious in developing its LLM technology, but changed tact with the launch of ChatGPT, throwing access wide open to the public. The result has been a storm of beneficial publicity and hype for OpenAI, even as the company eats huge costs keeping the system free-to-use.
In February, major changes were made to their search engines by both Microsoft and Google. The tech giants spent big on building or buying generative AI tools, which use large language models to understand and respond to complex questions They hope thatIntegrating them into search will give users a richer, more accurate experience. The Chinese search company is going to follow suit.
For an example, the question “Is it better to learn the piano or the guitar?” would be met with ” some say the piano is easier to learn, as the finger and hand movements are more natural…” Others say that it’s easier to learn chords on the guitar.” Pichai also said that Google plans to make the underlying technology available to developers through an API, as OpenAI is doing with ChatGPT, but did not offer a timeline.
There is a high level of excitement surrounding the new search engine, which has led to some speculation that it might challenge the dominance of the internet’s most famous search engine. Microsoft is holding a media event tomorrow about new features for its second-place search engine, Bing, that is believed to relate to work it has done with the creator of ChatGpt. OpenAI’s CEO Sam Altman tweeted a photo of himself with Microsoft CEO Satya Nadella shortly after Google’s announcement.
The technology behind LaMDA is something that can be added to products, but Google has decided to proceed cautiously. Besides hallucinating incorrect information, AI models trained on text scraped from the Web are prone to exhibiting racial and gender biases and repeating hateful language.
Those limitations were highlighted by Google researchers in a 2020 draft research paper arguing for caution with text generation technology that irked some executives and led to the company firing two prominent ethical AI researchers, Timnit Gebru and Margaret Mitchell.
Other Google researchers who worked on the technology behind LaMDA became frustrated by Google’s hesitancy, and left the company to build startups harnessing the same technology. The company may have accelerated the time taken for developing text generation capabilities in its products due to the advent of chatGpurt.
There will be a news conference on artificial intelligence integrations for the company’s search engine on February 8. It’s free to watch live on YouTube.
Are you curious about the boom of generative AI and want to learn even more about this nascent technology? WIRED does a great job of covering the subject, including how it could change customer service forever, how fact-checkers are addressing potential misinformation, and how teachers are using it at school.
You are familiar with them, but generative AI is only the beginning. The information about the possibilities for artificial intelligence in audio and video is starting to be presented by the search engine. There are plenty of startup in Silicon Valley vying for attention and investment money as more uses for large language models emerge.
This week might represent the start of a new way of doing tasks that are similar to what happened in June 2007, when the Apple iPhone changed computing and communication. But this time it could be the form of a Bing browser.
The new version of Bing adds a sidebar to the list of links that will offer a written reply to a query, using OpenAI’s language capabilities. The question “Is the Ikea Flippen loveseat possible to fit in my Honda Odyssey if I fold down the seats?” elicited an artificial Intelligence answer that used information about the seat measurement and the SUV’s cargo space to estimate that the furniture might fit.
The response also included a disclaimer: “However, this is not a definitive answer and you should always measure the actual items before attempting to transport them.” Microsoft has built afeedback box at the top of each response, which will let users respond with a thumbs-up or thumbs-down. Text generation can be used to improve search results by highlighting different viewpoints.
“This highlights the importance of a rigorous testing process, something that we’re kicking off this week with our Trusted Tester program,” a Google spokesperson told CNN in a statement Wednesday about the factual error. We will combine external and internal testing to make sure Bard’s responses meet a high bar for quality, safety and groundedness.
In the demo, which was posted by Google on Twitter, a user asks Bard: “What new discoveries from the James Webb Space Telescope can I tell my 9 year old about?” Bard points out thatJWST took the very first pictures of a planet outside of our own solar system.
The first image of an exoplanet, or a planet beyond the solar system, was taken in 2004 by the European Southern Observatory, according to NASA.
Chatty AI and the Bing-Bing battle: What will we learn from the Bard and Ernie-Bot responses? The physics of big tech companies, and how to train them
The incorrect response from Bard was the cause of the 8% fall in shares for Alphabet in midday trading.
In the presentation Wednesday, a Google executive teased plans to use this technology to offer more complex and conversational responses to queries, including providing bullet points ticking off the best times of year to see various constellations and also offering pros and cons for buying an electric vehicle.
The all-new Bing is similarly chatty. Demos that the company gave at its headquarters in Redmond, and a quick test drive by WIRED’s Aarian Marshall, who attended the event, show that it can effortlessly generate a vacation itinerary, summarize the key points of product reviews, and answer tricky questions, like whether an item of furniture will fit in a particular car. It’s a long way from Microsoft’s hapless and hopeless Office assistant Clippy, which some readers may recall bothering them every time they created a new document.
Last but by no means least in the new AI search wars is Baidu, China’s biggest search company. It joined the competition by announcing a competitor called ” Ernie Bot” in English. Baidu says it will release the bot after completing internal testing this March.
But the excitement over these new tools could be concealing a dirty secret. The race to build high-performance, AI-powered search engines is likely to require a dramatic rise in computing power, and with it a massive increase in the amount of energy that tech companies require and the amount of carbon they emit.
Spelling and computing linkages within massive volumes of data are the reasons why large language models like those that underpin OpenAI’s ChatGPT will be used to power Bing and Bard.
A computer scientist at the University of Corua says training models takes a lot of power. Only the Big Tech companies are able to train them.
According to third-party analysis, the training of GPT-3, which is partly based on, caused an emissions of more than 540 tons of carbon and consumed over a thousand MWh of electricity.
It is not that bad, but you have to account for it. Gmez-Rodrguez says that you need to execute and serve millions of users if you want to train it.
There’s also a big difference between utilizing ChatGPT—which investment bank UBS estimates has 13 million users a day—as a standalone product, and integrating it into Bing, which handles half a billion searches every day.
In order to meet the requirements of search engine users, that will have to change. “If they’re going to retrain the model often and add more parameters and stuff, it’s a totally different scale of things,” he says.
What can we learn from a tech revolution? How technology affects humans and how it could change our lives and our digital world, including the rise of virtual reality
Executives in business casual wear trot up on stage and pretend a few tweaks to the camera and processor make this year’s phone profoundly different than last year’s phone or adding a touchscreen onto yet another product is bleeding edge.
But that changed radically this week. Some of the world’s biggest companies teased significant upgrades to their services, some of which are central to our everyday lives and how we experience the internet. New AI technology allowed for more complex and conversations like the ones that changed each case.
If the introduction of smartphones made a difference in the 2000s, so did the introduction of virtual reality products, but they were still considered ambitious technologies that didn’t fully arrive.
Now that ChatGPT has gained traction and prompted larger companies to deploy similar features, there are concerns not just about its accuracy but its impact on real people.
Some people worry it could disrupt industries, potentially putting artists, tutors, coders, writers and journalists out of work. Others are more optimistic, postulating it will allow employees to tackle to-do lists with greater efficiency or focus on higher-level tasks. Either way, it will likely force industries to evolve and change, but that’s not? necessarily a bad thing.
“New technologies always come with new risks and we as a society will have to address them, such as implementing acceptable use policies and educating the general public about how to use them properly. Guidelines will be needed,” Elliott said.
The Wall Street Journal, Wirecutter, and the Bing Bot: What Do We Really Need to Learn About News Publishing? Two Years of Microsoft and Search Engines to Come Together
Two years ago, Microsoft president Brad Smith told a US congressional hearing that tech companies like his own had not been sufficiently paying media companies for the news content that helps fuel search engines like Bing and Google.
“What we’re talking about here is far bigger than us,” he said, testifying alongside news executives. “Let’s hope that, if a century from now people are not using iPhones or laptops or anything that we have today, journalism itself is still alive and well. Our democracy depends on it. Tech companies ought to be doing more, and that Microsoft is committed to continuing revenue-sharing with news publishers, Smith said.
When WIRED asked the Bing chatbot about the best dog beds according to The New York Times product review site Wirecutter, which is behind a metered paywall, it quickly reeled off the publication’s top three picks, with brief descriptions for each. One said that the bed was easy to wash and came in various sizes and colors.
The bot credited the reviews but also a number of websites that appeared to use Wirecutter’s name to get people interested in affiliate links. The Times didn’t reply to a request for comment.
Even though the Wall Street Journal’s content is usually behind a paywall, Bing’s bot neatly summarized the WSJ’s column on “chatGPT”, based on technology behind Openai’s bot sensation. (The tool did not appear to directly plagiarize any of the columnist’s work.) WSJ owner News Corp declined to comment on Bing.
OpenAI is not known to have paid to license all that content, though it has licensed images from the stock image library Shutterstock to provide training data for its work on generating images. Microsoft is not specifically paying content creators when its bot summarizes their articles, just as it and Google have not traditionally paid web publishers to display short snippets pulled from their pages in search results. But the chatty Bing interface provides richer answers than search engines traditionally have.