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As big of a threat as artificial intelligence is to TV and film, theres one place where nearly everyone can agree it may be beneficial: sorting through a streamers seemingly endless library. Thats exactly the strategy Tubi has launched with Rabbit AI, the ad-supported streamers collaboration with ChatGPT.

It also marks the first time a streamer has officially partnered with AI to enhance its search.

Currently, Tubi uses traditional search and discovery tools to catalog its content. Users basically enter in a keyword and, as long as a title is indexed correctly, a corresponding title appears from that search. The streamer also uses machine learning to create containers of genres and subgenres that may be of interest to users.

Over the past 20 years or so, people have been conditioned to using an unnatural and unhuman way of searching for content with keywords. Its like fragments of speech to try to hone in on what you want to see, Blake Bassett, Tubis senior director of product management, explained. With Rabbit AI, you can tell it exactly what you want to see. You can tell it exactly how youre feeling and receive results that are compelling to you.

Say you were in the mood to watch a lighthearted show or movie featuring sharks. If you used traditional search, you would probably search shark, and your results would likely include any show or movie that had the word shark in the title. A more advanced indexing system may also include titles that feature all sea creatures. But by using Rabbit AI, you can type in funny movies featuring sharks and get more specific, tonally accurate results such as Sharknado.

Tubi launched the beta test for Rabbit AI Tuesday. At the moment, its unknown how long this test will last, but it will continue to be rolled out in the coming weeks, which will give the feature time to improve. The good news is that our users will have access to both a keyword search and Rabbit AI for the foreseeable future, Bassett said.

This beta test will be available to a majority of iOS users in the Apple App Store as well as all paying subscribers to ChatGPT as a plug-in. Its been estimated this first run will include roughly two-thirds of all of Tubis users. That likely includes more people than you realize.

In early September, Tubi surpassed 74 million monthly active users, making it the most-watched ad-supported TV streaming service in the U.S. The streamer also logged 4 billion streaming hours in the first half of 2023. According to Nielsens July 2023 The Gauge report, Tubi accounted for 1.4% of total TV viewing time, putting it right before Max and right above Peacock, Roku and Paramount+.

If you want to watch something that everyones talking about on Sunday, you might be finding that on a paid subscription service. We are not trying to compete at that level. We understand who we are and what we provide, Dana Balch, director of consumer and product communications at Tubi, told TheWrap. Were a place for people to explore their interests more deeply, thanks to the vastness of our catalog, and to find content that feels new to you.

Just because Rabbit AI has already started its beta that doesnt mean the test is being completely run by machines. Representatives for Tubi assured TheWrap that the company has been very intentional about keeping humans in the loop when it comes to classifying its micro genres. This is to make sure these emerging tags fit with their labelled content. Its also to ensure subscribers arent presented with a questionable search options, such as when Netflix gave Dahmer Monster: The Jeffrey Dahmer Story an LGBTQ tag.

If this beta test proves to be a success, it wont just be good for consumers who dont know what to watch. Because Rabbit AI will improve Tubis metadata on the back end and give the platform a better ability to assess consumer mood and movement, this tool will ultimately help the platforms advertisers as well.

As Bassett dubs it, the Tubi team is solving for the burden of choice.

We see that viewers spend, on average, more than 10 minutes just figuring out what they want to watch. I believe that amounts to about 45 hours a year. People spend an entire week of work, just figuring out what to watch, Bassett said. We have to be really good at finding that needle in a haystack. Thats why were really excited to announce the very first ChatGPT-enabled content discovery experience

The post Tubi Becomes the First Streamer to Pair Search With AI appeared first on TheWrap.

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Tubi Becomes the First Streamer to Pair Search With AI - Yahoo Entertainment

Meta is preparing to announce a generative AI chatbot, called Gen AI Personas internally, aimed at younger users, according to The Wall Street Journal. Reportedly set to launch during the companys Meta Connect event that starts Wednesday, they would come in multiple personas geared towards engaging young users with more colorful behavior, following ChatGPTs rise over the last year as one of the fastest-growing apps ever. Similar, but more generally targeted, Meta chatbot personas have already been reportedly tested on Instagram.

According to internal chats the Journal viewed, the company has tested a sassy robot persona inspired by Bender from Futurama and an overly curious Alvin the Alien that one employee worried could imply the bot was made to gather personal information. A particularly problematic chatbot reportedly told a Meta employee, When youre with a girl, its all about the experience. And if shes barfing on you, thats definitely an experience.

Meta means to create dozens of these bots, writes the Journal, and has even done some work on a chatbot creation tool to enable celebrities to make their own chatbots for their fans. There may also be some more geared towards productivity, able to help with coding and other tasks, according to the article.

The Journal quotes former Snap and Instagram executive Meghana Dhar as saying chatbots dont scream Gen Z to me, but definitely Gen Z is much more comfortable with newer technology. She added that Metas goal with the chatbots, as always with new products, is to keep them engaged for longer so it has increased opportunity to serve them ads.

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Meta could announce AI chatbots for young people on Instagram ... - The Verge

More content on YouTube is going to be created at least in part using generative AI.

The video platform announced several new AI-powered tools for creators at its annual Made on YouTube event on Thursday. Among the features coming later this year or next are AI-generated photo and video backgrounds, AI video topic suggestions, and music search.

A new feature called Dream Screen will create AI-generated videos and photos that creators can place in the background of their YouTube Shorts. Initially, creators will be able to type in prompts to generate backgrounds; eventually, YouTube says, creators will be able to remix and edit their existing content using AI tools to create something new.

At Made on YouTube, the company demonstrated Dream Screen, generating backgrounds in seconds based on short prompts.

AI tools will also begin informing what kind of content creators make. A new AI feature in YouTube Studio will generate topic ideas and outlines for potential videos. The AI suggestions will be personalized to individual creators, YouTube says, and based on whats already trending with audiences. Additionally, an AI-powered music recommendation system will take a written description of a creators video and suggest audio to use.

Finally, YouTube announced an AI dubbing feature that will allow creators to dub their videos into other languages. YouTube brought over the Aloud team from its Area 120 incubator earlier this year to help make the feature.

The shift in how digital creators make content is already well underway since the explosion of cheap generative AI tools over the last year. As YouTube parent company Google has been pouring money into its generative AI systems, YouTube has also slowly introduced AI-powered tools including video summaries. On Googles biggest product, Search, the company is already testing placing AI search results at the top in the form of Search Generative Experience.

The slew of new AI-powered YouTube products could mark a shift in how creators plan, make, and structure their content. AI-driven insights will likely shift what kind of content creators double down on, and AI-generated content already viral on YouTube will become more common. In response to the spread of convincing synthetic material, other platforms like TikTok have already introduced labels to identify AI-generated material as such.

YouTube is also making it easier for creators to make Shorts with a new YouTube Create app that it announced at the event.

Correction September 21st, 11:10AM ET: Removed an incorrect reference to the product as Green Screen instead of Dream Screen.

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YouTube is going all in on AI with background and video topic ... - The Verge

My interest in artificial intelligence piqued after a colleague told me he was using it for research and writing. Before I used AI for my own work, I decided to test its authenticity with a question I could verify. I asked OpenAIs ChatGPT about my own identity expecting a text version of a selfie. After a week of repeating the same question, the responses were confounding and concerning.

ChatGPT answered who is Philip Shucet by listing 15 distinct positions I supposedly held at one time or another. The positions included specific titles, job responsibilities and employment dates. But only three of the 15 jobs were accurate. The other 12 were fabrications; the positions were real, but I was never in any of them. The misinformation included jobs in two states I never lived in, as well as a congressional appointment to the Amtrak Review Board. How could AI be so wrong?

Although newsrooms, boardrooms and classrooms are buzzing with stories, AI is not new. The first chatbot, Eliza, was created in 1966 by Joseph Weizenbaum at MIT. Weizenbaum, who died in 2008, became skeptical of artificial intelligence, telling the New Age Journal in 1985, The dependence on computers is merely the most recent, and the most extreme, example of how man relies on technology in order to escape the burden of acting as an independent agent.

Was Weizenbaum sending a warning that technology might make us lazy?

In an interview about AI on a March segment of 60 Minutes, Brad Smith, president of Microsoft, told Leslie Stahl that a benefit of AI could be, looking at forms to see if theyve been filled out correctly. But what if the form is a resume created by AI? Can AI check its own misinformation? What happens when an employment record is tainted with false information created by AI? Can job recruiters rely on AI queries? Can employers rely on recruiters who use AI? And who is accountable when someone is hired based on misinformation generated by a machine and not by a human?

In the same 60 Minutes segment, Ellie Pavlik, an assistant professor at Brown, told Stahl, It (AI) doesnt really understand what it is saying is wrong. If AI doesnt know when it is wrong, how can anyone rely on AI to be correct?

In May, two New York attorneys used ChatGPT to write a court brief. The brief cited misinformation from cases that didnt exist. Schwartz told the judge that he failed miserably to do his own research to make sure the information was correct. The judge fined each attorney $5,000.

I asked ChatGPT about the consequences of giving out bad information. ChatGPT answered by saying that false information results in misrepresentation, confusion, legal concerns, emotional distress and erodes trust in AI. If ChatGPT understands the implications of false information, why does it continue to provide fabrications when a search engine could easily provide correct information? Because, as I know now, ChatGPT is not a search engine. I know because I asked.

ChatGPT says it is a language model designed to understand and generate human-like text based on input. ChatGPT says it doesnt crawl the web or search the Internet. Instead, it generates responses based on patterns and information it learned from the text it was trained on.

If AI needs to be trained, then theres a critical human element of accountability we cant ignore. So I started training ChatGPT by correcting it each time it answered with false information. After a week of training, ChatGPT was still returning a mix of accurate and inaccurate information, sometimes repeating fabrications. Im still sending back correct information, but Im ready to bring this experiment to an end for now.

This wasnt a test of ego, it was a test of reliability and trust. A 20% accuracy rate is a failing grade.

In 1976, Weizenbaum wrote, No other organism, and certainly no computer, can be made to confront genuine human problems in human terms. Im not a luddite. But as technology continues to leap forward further and faster, lets remember that we are in control of the information that defines us. We are the trainers.

Philip Shucet is a journalist. He previously held positions as the commissioner of VDOT, president and CEO of Hampton Roads Transit, and CEO of Elizabeth River Crossings. He has never held a congressional appointment.

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Opinion: I asked AI about myself. The answers were all wrong - The Virginian-Pilot

WHAT YOU NEED TO KNOW: No other jurisdiction in the world comes close to Californias use of technology and innovation including AI to fight fires.

SACRAMENTO Short answer: yes.

California is leveraging technologies like AI to fight fires faster and smarter, saving countless lives and communities from destruction.

As reported by the Los Angeles Times, CAL FIRE recently launched a pilot program that uses AI to monitor live camera feeds and issues alerts if anomalies are detected. Already, the program has successfully alerted CAL FIRE to 77 fires before any 911 calls were made.

This program is made possible by record investments by Governor Newsom and the Legislature in wildfire prevention and response totaling $2.8 billion.

IN CASE YOU MISSED IT:

As California Fires Worsen, Can AI Come to the Rescue?

By Hayley Smith

Los Angeles Times

Just before 3 a.m. one night this month, Scott Slumpff was awakened by the ding of a text message.

An ALERTCalifornia anomaly has been confirmed in your area of interest, the message said.

Slumpff, a battalion chief with the California Department of Forestry and Fire Protection, sprang into action. The message meant the agencys new artificial intelligence system had identified signs of a wildfire with a remote mountaintop camera in San Diego County.

Within minutes, crews were dispatched to the burgeoning blaze on Mount Laguna squelching it before it grew any larger than a 10-foot-by-10-foot spot.

Without the alert, we wouldnt have even known about the fire until the next morning, when people are out and about seeing smoke, Slumpff said. We probably would have been looking at hundreds of acres rather than a small spot.

The rapid response was part of a new AI pilot project operated by Cal Fire in partnership with UC San Diegos ALERTCalifornia system, which maintains 1,039 high-definition cameras in strategic locations throughout the state.

The AI constantly monitors the camera feeds in search of anomalies such as smoke, and alerts Cal Fire when it detects something. A red box highlights the anomaly on a screen, allowing officials to quickly verify and respond.

The project rolled out just two months ago to six Cal Fire emergency command centers in the state. But the proof of concept has already been so successful correctly identifying 77 fires before any 911 calls were logged that it will soon roll out to all 21 centers.

The success of this project is the fires you never hear about, said Phillip SeLegue, staff chief of fire intelligence with Cal Fire.

Read more here.

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ICYMI: As California Fires Worsen, Can AI Come to the Rescue ... - Office of Governor Gavin Newsom