The Silicon Valley gold rush was sparked by the new creative streak of the artificial intelligence
How Does Generative Artificial Intelligence Make You Feel? Clement Delangue, CEO of Hugging Face, announces $101 million in New Funding
In San Francisco last week, investors and technologists were excited by the commercial potential of what has been dubbed generative artificial intelligence. There were people from large tech companies, fellow investors and entrepreneurs that were at her guests. One of the guests of honor was Clement Delangue, CEO of Hugging Face, a company that hosts a number of open source generative AI projects, including one that recently sparked a frenzy of AI memes. Engineers asked him about jumping onto the bandwagon to start their own generative AI companies. “It’s just the hottest area from a fundraising perspective right now,” Guo says.
generative artificial intelligence is a trend fueled by software that can make computer code and dream up images in response to a prompt. There has been a lot of layoffs in the tech industry but generative artificial intelligence is getting a lot of interest, and companies are going to be rebuilt around it.
Stability AI, which offers tools for generating images with few restrictions, held a party of its own in San Francisco last week. It announced $101 million in new funding, valuing the company at a dizzy $1 billion. The gathering attracted tech celebrities including Google cofounder Sergey Brin.
Song works with Everyprompt, a startup that makes it easier for companies to use text generation. He says that testing tools that make images, text, or code left him with a sense of wonder. He says that it has been quite some time since he used a website or technology that made him feel good. “Using generative AI makes me feel like I’m using magic.”
ChatGPT stands out because it can take a naturally phrased question and answer it using a new variant of GPT-3, called GPT-3.5. The new ability to respond to all kinds of questions has been unlocked by this tweaking and it is a great new interface for anyone to use. Openai has thrown open the service for free and the fact that it can be fun also helped fuel the chatbot to become a hit, similar to how some tools for making images using artificial intelligence have done.
But competitors don’t seem to have slowed down. Other companies have been offering an all-you- can- eat version of LaMDA with their own chatbots and image generators, despite limited access to LaMDA in the protected Test Kitchen app. The most consequential release has to be Open Artificial Intelligence’s latest version of its powerful text generation technology, which spits out coherent essays, poems, plays, songs, and is a lightning-fast gadfly. Millions of people tinkered with it and shared their amazing responses to it, making it a source of wonder and fear as well as an international obsession. Will ChatGPT kill the college essay? Do you want to destroy traditional internet search? Put a lot of people out of a job?
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. The team fed human-written answers to GPT- 3.5 as training data, and then used a form of punishment called reinforcement learning to push the model to give better answers.
“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. We need to 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.”
“We’re starting with AI-powered features in Search that distill complex info into easy-to-digest formats, so you can see the big picture, then explore more,” Google CEO Sundar Pichai wrote on Twitter in the lead-up to the event. Despite recent layoffs, the company remains an assertive force in Silicon Valley. The viral success of other generative AI models, specifically OpenAI’s ChatGPT, put pressure on the company to expedite its experimental research for public use.
OpenAI was somewhat cautious in developing its LLM technology, but changed their mind when they opened up access to the public. Even though the company pays huge costs for keeping the system free to use, there has been a lot of publicity and hype for it.
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Browder acknowledges that his prototype negotiating bot exaggerated its description of internet outages but says it did so in a way “similar to how a customer would.” He believes the technology could be helpful in helping customers deal with corporate bureaucracy.
The new line of artificial intelligence programs that were created using huge quantities of text information from the web and other sources is just the latest, more compelling implementation. Training material can mimic human writing and answer questions by taking useful information from it. But because they operate on text using statistical pattern matching rather than an understanding of the world, they are prone to generating fluent untruths.
Most of the toys Google demoed on the pier in New York showed the fruits of generative models like its flagship large language model, called LaMDA. It can help answer questions and tell the stories they are made for. Other projects can even help to produce 3D images from text as well as help to make videos by turning out storyboard-like suggestions on scene-by-scene basis. Some of the ethics and potential dangers of unleashing robot content generators were covered in a large part of the program. The company made sure to emphasize how cautious it was in using its powerful creations. The most telling statement came from Douglas Eck, a principal scientist at Google Research. “Generative AI models are powerful—there’s no doubt about that,” he said. We have been slow to release them because we know that they can cause real risks if taken care of. And I’m proud we’ve been slow to release them.”
The artificial intelligence integrations will be announced by the company on February 8 at 8:30 am Eastern. It is free to view live on the internet.
A sidebar with a written response to a query can be added to the usual list of links in the new version of Bing. In a demonstration, the query “Will the Ikea Flippen loveseat fit into my 2019 Honda Odyssey if I fold down the seats?” elicited an AI-powered response that used details about the love seat’s measurements and the SUV’s cargo space drawn from webpages to estimate that the furniture “might fit with the second or third rows folded.”
Microsoft executives said that a limited version of the Bing would be released today but some early people will have access to the more powerful version in order to gather feedback. The company is asking people to sign up for a wider-ranging launch, which will occur in the coming weeks.
The reply also stated that the answer was not a definitive one and that you should always measure the actual items before attempting to transport them. Users can reply with a thumbs up or thumbs down using afeedback box at the top of each response. Google yesterday demonstrated its own use of text generation to enhance search results by summarizing different viewpoints.
Bard was revealed earlier this week as an attempt by the search giant to challenge the success of ChatGPT which is used to generate answers to questions one might have previously searched for on the internet. ChatGPT’s meteoric rise in popularity has reportedly prompted Google’s management to declare a “code red” situation for its search product.
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 responds with a series of bullet points, including one that reads: “JWST took the very first pictures of a planet outside of our own solar system.”
According to NASA, however, the first image showing an exoplanet – or any planet beyond our solar system – was actually taken by the European Southern Observatory’s Very Large Telescope nearly two decades ago, in 2004.
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Shares for Google-parent Alphabet fell as much as 8% in midday trading Wednesday after the inaccurate response from Bard was first reported by Reuters.
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.
With generative AI tools now publicly accessible, you’ll likely encounter more synthetic content while surfing the web. Some instances might be benign, like an auto-generated BuzzFeed quiz about which deep-fried dessert matches your political beliefs. Are you a Democrat or a Republican? There could be more sinister instances, like a sophisticated propaganda campaign from a foreign government.
Edward Tian, a student at Princeton, went viral earlier this year with a similar, experimental tool, called GPTZero, targeted at educators. It gauges the likeliness that a piece of content was generated by ChatGPT based on its “perplexity” (aka randomness) and “burstiness” (aka variance). Another tool that can make a judgement on a text that is more than 1,000 characters long was dropped by Openai. False positives and limited efficacy outside English are some of the limitations of the tool. Just as English-language data is often of the highest priority to those behind AI text generators, most tools for AI-text detection are currently best suited to benefit English speakers.
The ability to mimic natural writing has been used for a long time. In 2019, Harvard and the MIT-IBM Watson AI Lab released an experimental tool that scans text and highlights words based on their level of randomness.
Why would it be helpful? An AI text generator is fundamentally a mystical pattern machine: superb at mimicry, weak at throwing curve balls. The quality of the human style of communication can vary, but there’s an underlying quality to it.
While these detection tools are helpful for now, Tom Goldstein, a computer science professor at the University of Maryland, sees a future where they become less effective, as natural language processing grows more sophisticated. There are systematic differences between human text and machine text, which is the basis for these kinds of detectors. “But the goal of these companies is to make machine text that is as close as possible to human text.” Does this mean all hope of synthetic media detection is lost? Absolutely not.
There is a paper that Goldstein worked on that looked at possible methods for watermarking large language text generators. It’s not foolproof, but it’s a fascinating idea. It is important to remember that ChatGFT tries to guess the next likely word in a sentence by comparing multiple options. A watermark might be able to designate certain word patterns to be off-limits for the AI text generator. When the text is scanned and the rules for watermarking are broken, that indicates a human was responsible for that masterpiece.
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The new Bing is very easy to understand. The company gave a demo at its headquarters in Redmond, as well as a short test drive by WIRED’s Aarian Marshall, who was in attendance, to show that it could answer tricky questions and generate a vacation itinerary. 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 fray by announcing another ChatGPT competitor, Wenxin Yiyan (文心一言), or “Ernie Bot” in English. Baidu says it will release the bot after completing internal testing this March.