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The first AI-powered news network

Good morning, FryAI community! Monday marks a fresh start to a new week of AI news, tools, and fun. 😃

(The mystery link can lead to ANYTHING AI related. Tools, memes, articles, videos, and more…)

Today’s Menu

Appetizer: The first AI-powered news network 🤖

Entrée: Intel makes a charge into the AI chip space 💾

Dessert: AI system outdoes human mathematicians 🧩


🎁 Elf Help: Get creative gift suggestions for everyone on your Christmas list. → check it out

😂 AI Is A Joke: Effortlessly generate jokes about various topics. → check it out

🔄 Socialite: Convert text or images into any other type of content. → check it out


Tired of “fake news”? What about “fake” people reporting the news? 📺

What’s new? Channel 1 is set to become the world’s first AI-powered news network, with a full launch planned for early 2024.

What will this look like? Depicted in the video above, Channel 1 will showcase AI avatars who present the news, crafted from scans of real individuals with digitally generated voices. Channel 1 plans to source information from three main outlets: partnerships with traditional news sources, commissioned freelance journalists, and AI-generated news reports derived from public records and government documents. Despite skepticism and push-back, the network intends to launch free, ad-supported streaming on various apps as early as February.

What are the concerns? The public is not sure what to think of Channel 1. Some are excited about customized, “unbiased” newscasters and journalists. Others are expressing concerns about the newscasters and stories being devoid from human emotions and experience. Furthermore, many are worried about job displacement for human journalists, but only time will tell the story.

“2024 is going to be a weird, chaotic, crazy year. No matter what you incorporate, artificial intelligence is only going to get more weird. But listen, weird or not, this is where we’re heading.”

—Steve Krakauer, NewsNation media contributor


French fries > chips. No debate is needed. 🍟

What’s new? Intel has released a suite of new AI chips, positioning Intel in direct competition with Nvidia and AMD.

What are the new chips? Leading the charge is the Gaudi3 chip, designed specifically for generative AI software. The chip is set to launch early next year, targeting the growing demand for powerful AI models amidst a low chip supply. Intel also introduced Core Ultra chips, tailored for Windows laptops and PCs, featuring NPUs (Neural Processing Units)—which mimic human brain functioning—to accelerate AI program execution. While not matching the capacity of cloud-based GPUs for extensive AI tasks, the Core Ultra chips enhance efficiency in handling smaller AI responsibilities, offering a solution for users with smaller budgets and needs. Additionally, the 5th generation Xeon server chips were announced, with a specialization on AI inferencing, a less power-intensive phase compared to training.

Why is this significant? AI chip demand is at an all-time high, and supply is difficult to come by, causing many companies to be bottlenecked in their AI implementations. This is opening the door for companies like Intel to make a push in the marketplace currently dominated by Nvidia and AMD. These new chips will offer various forms of functioning that will power AI developments and slow down delays in innovation.


75% of people are good at math … I belong to the other 18%. 😆

What happened? FunSearch, an AI system developed by Google DeepMind’s “AI for Science team,” demonstrated capabilities that surpass human mathematicians by addressing unsolved problems in combinatorics, a branch of mathematics dealing with the arrangement of finite sets.

How does it work? FunSearch acts as a “creativity engine,” autonomously generating requests for LLMs to produce solutions to specific mathematical problems. The model was tested on the “cap set problem,” an offshoot of the card game Set, and was able to discover unforeseen possibilities in solving the complex mathematical puzzle.

What’s the bottom line? According to Pushmeet Kohli, a computer scientist who heads the AI for Science team at Google Deepmind in London, “This is the first time anyone has shown that an LLM-based system can go beyond what was known by mathematicians and computer scientists.”



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