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Likewise debuts Pix, an AI chatbot for entertainment recommendations

Likewise, the company behind an app that can recommend your next TV binge, movie to watch, podcast to stream or book to read, is out today with its own entertainment-focused AI companion, Pix. Built using a combination of Likewise’s own customer data and technology from partner OpenAI, Pix can make entertainment recommendations and answer other questions via text message or email, or by communicating with Pix within the Pix mobile app, website or even by speaking to Pix’s TV app using a voice remote.

Founded in 2017 by former Microsoft communications chief Larry Cohen with financial backing from Bill Gates, the recommendations startup aims to offer an easy way for people to discover new TV shows, movies, books, podcasts and more, as well as follow other users and make lists of their favorites to share. While today, recommendations are often baked into the streaming services or apps we use to play our entertainment content, Likewise maintains a registered user base of more than 6 million, and over 2 million monthly active users.

To build Pix, the company leveraged around 600 million consumer data points along with machine learning algorithms, as well as the natural language processing technology of OpenAI’s GPT 3.5 and 4. To work, the AI chatbot learns the preferences of the individual user and then provides them with personalized recommendations — similar to Likewise itself. In addition, the bot will reach out to users when new content becomes available that matches their interests.

Here are 5 unique ways of using ChatGPT image recognition

It is basically GPT-4 but with vision.

On September 25, OpenAI gave ChatGPT the ability to see, hear, and speak, making it a truly multimodal large language model. And along came GPT-4V, which is basically GPT-4 but with vision.

This feature enables users to input image prompts of almost anything under the sun and ask GPT-4V to analyze them. Available currently only to ChatGPT Plus subscribers, users are posting on social media how they are using and utilizing the upgrade.

List of most intelligent CEOs: Did Mark or Elon make the cut?

Top executives were evaluated on the number of “I” statements they made in speeches.

Regarding intelligence, Meta CEO Mark Zuckerberg takes the cake compared to Tesla CEO and X owner Elon Musk. While Zuckerberg came in 9th out of the 50 CEOs who were evaluated, Musk found himself in the 16th position in the order of ranks.

The most intelligent CEO in America is Demis Hassabis of DeepMind, a subsidiary of Google. “Hassabis, known for his dual expertise as an AI researcher and neuroscientist, has enriched his public discourses with a unique blend of knowledge,” said Preply, the online tutoring firm that came up with the list.

How A.I. is helping doctors detect cancer

A study by Northwestern University predicted colonoscopies assisted by artificial intelligence could reduce future cancer diagnoses by up to 39%. NBC medical fellow Dr. Akshay Syal added through deep learning this kind of technology could detect cancer “better than the human eye” by about 13%.

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This AI company wants to help you control your dreams

Wollberg and Berry, Prophetic’s CEO and chief technology officer, respectively, plan to showcase a semi-working prototype either later this month or in early November. But the full test of the prototype, they say, will have to wait until the third or fourth quarter of 2024, after the conclusion of a yearlong study on brain imaging conducted in partnership with the Donders Institute for Brain, Cognition and Behaviour, part of Radboud University in the Netherlands.

The co-founders have the type of lofty dreams typical of a modern-era tech startup, with Wollberg comparing the company to OpenAI. Its mission is to work “collectively towards understanding the nature of consciousness” and its LinkedIn page reads, “Prometheus stole fire from the gods, we will steal dreams from the prophets.”

But a year out from a fully working prototype, with plans to ship devices starting in spring 2025, Prophetic is still a ways away from delivering on its promises.

Ray Kurzweil Wants To Put Nanobots In Our Bloodstream

Would you want to live forever? On this episode, Neil deGrasse Tyson and author, inventor, and futurist Ray Kurzweil discuss immortality, longevity escape velocity, the singularity, and the future of technology. What will life be like in 10 years?

Could we upload our brain to the cloud? We explore the merger of humans with machines and how we are already doing it. Could nanobots someday flow through our bloodstreams? Learn about the exponential growth of computation and what future computing power will look like.

When will computers pass the Turing test? Learn why the singularity is nearer and how to think exponentially about the world. Are things getting worse? We go through why things might not be as bad as they seem. What are the consequences of having a longer lifetime? Will we deplete resources?

Will there be a class divide between people able to access longer lifespans? What sort of jobs would people have in the future? Explore what artificial intelligence has in store for us. What happens if AI achieves consciousness? We discuss the definition of intelligence and whether there will be a day when there is nothing left for humans to do. Will we ever see this advancement ending?

Thanks to our Patrons Johan Svensson, Galen J., Kellen Bolander, Sunshine, and Brian White for supporting us this week.

NOTE: StarTalk+ Patrons can watch or listen to this entire episode commercial-free.

Google DeepMind unites researchers in bid to create an ImageNet of robot actions

Of all the holy grails in robotics, learning may well be the holiest. In an era when the term “general purpose” is tossed around with great abandon, however, it can be difficult for non-roboticists to understand what today’s systems can — and can’t — do. The truth of it is that most robots these days are built to do one (or a couple, if you’re lucky) thing really well.

It’s a truth that spans the industry, from the lowliest robot vacuum to the most advanced industrial system. So, how do we make the transition from single to general purpose robotics? Certainly, there are going to be a lot of stops in multipurpose land along the way.

The answer is, of course, robot learning. Walk into nearly any robotics research lab these days and you will find teams working on tackling the issue. The same applies to startups and corporations, as well. Look at companies Viam and Intrinsic, which are working to lower the bar of entry for robot programming.

You can now use the DALL-E 3 AI image generator inside Bing Chat

The image generator inside the AI-powered Bing Chat is getting a big upgrade today: Microsoft announced that OpenAI’s latest DALL-E 3 model is now available to all Bing Chat and Bing Image Creator users. It has been rolling out over the last week or so, first to Bing Enterprise users and then to Bing Image Creator, but now it’s open to everyone.

Bing is getting DALL-E 3 access even before OpenAI’s own ChatGPT does — that’s scheduled to happen this month, but only for paying users. Microsoft is likely to be the most popular image generating tool for a while.

“Microsoft is planning to use DALL-E tech in more than just Bing, too. It’s working on an AI image creation tool in the Paint app called Paint Cocreator, for instance, which will bring the DALL-E model right into Windows.”


OpenAI’s latest image creation tool is supposed to be more creative and more realistic — and it’ll finally understand your prompt.

AI Art Generators and the Online Image Market

Now that computer-generated imaging is accessible to anyone with a weird idea and an internet connection, the creation of “AI art” is raising questions—and lawsuits. The key questions seem to be 1) how does it actually work, 2) what work can it replace, and 3) how can the labor of artists be respected through this change?

The lawsuits over AI turn, in large part, on copyright. These copyright issues are so complex that we’ve devoted a whole, separate post to them. Here, we focus on thornier non-legal issues.

How Do AI Art Generators Work?

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