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Elon Musk’s X Is Turning Community Notes Over to AI

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Artificial intelligence chatbots are known for regularly offering dubious information and hallucinated details, making them terrible prospects for the role of fact-checker. And yet, Elon Musk’s X (née Twitter) plans to deploy AI agents to help fill in the gaps on the notoriously slow-reacting Community Notes, with the AI-generated notes appearing as soon as this month. What could possibly go wrong?

The new model will allow developers to submit AI agents to be reviewed by the company, according to a public announcement. The agents will be tested behind the scenes, made to write practice notes to see how they will perform. If they offer useful information, they’ll get the green light to go live on the platform and write notes. Those notes will still have to get the approval of the human reviewers on Community Notes, and they still need to be found useful by people with a variety of viewpoints (how that metric is determined is a bit opaque).

Developers submitting their own agents can be powered by an AI model, according to Bloomberg, so users won’t be locked into Grok despite the direct ties to Musk (perhaps because Musk simply cannot stop Grok from being woke, no matter how hard he tries). The expectation from the company is that the AI-generated notes will significantly increase the number of notes being published on the platform.

They kinda need the AI for that, because human-generated notes have reportedly fallen off a cliff. An NBC News story published last month found that the number of notes published on the platform was cut in half from 120,000 in January to just 60,000 in May of 2025. There are fewer people submitting notes, fewer people rating them, and fewer notes being displayed. Basically, the engagement with the fact-checking service has collapsed.

There are likely a number of factors for that. For one, the platform is kind of a shit show. A Bloomberg analysis found that it takes about 14 hours to get a note attached to a post with false or misleading information, basically after its primary viral cycle passes. Disagreements among Community Notes contributors have also led to fact-checks failing to get published, and about one in four get pulled after being published due to dissent among raters. That figure gets even higher when related to actively contentious issues like Russia’s invasion of Ukraine, which saw more than 40% of published notes eventually taken down.

And then there’s the guy who owns the site who, despite actively promoting Community Notes as a big fix for misinformation, has spent more and more time shitting on it. Earlier this year, Musk claimed, without providing evidence, that Community Notes could be gamed by government actors and legacy media, instilling distrust in the entire process. You know what isn’t going to make the system harder to game? Unleashing bots on the problem.



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2 Artificial Intelligence (AI) Stocks That Could Help Make You a Millionaire

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The cat is out of the bag with artificial intelligence (AI). Trillions of dollars in value have been added to stock portfolios on the backs of the AI revolution in just a few years. Nvidia is knocking on the door of a $4 trillion market capitalization. It is difficult to find undervalued AI stocks right now.

But it is not impossible. Here are two AI stocks — ASML (ASML -0.73%) and Alphabet (GOOG 0.51%) — that look undervalued and can help investors become millionaires if they buy and hold for the long term.

Image source: Getty Images.

Helping build advanced computer chips

ASML is the leading seller of lithography equipment for making advanced semiconductors. In some cases, it is the only provider on the market. Lithography in this case is the use of lights and lasers to print tiny patterns on objects such as semiconductors. Advanced semiconductors require intricate designs over microscopic areas, which helps them generate more efficient computing power for AI applications.

With its advanced extreme ultraviolet lithography systems (EUV), ASML is the only provider of machines that help make advanced semiconductors for the likes of Nvidia. This makes it a vital point in the semiconductor supply chain and a monopoly seller of its equipment today. Not a bad place to be in when semiconductor demand is soaring because of the insatiable need for more AI computer chips.

Over the past 12 months, ASML generated $33 billion in revenue, which has grown a cumulative 353% in the last 10 years. Operating income has grown 551% to $11 billion. The company’s growth is not linear because of lumpy equipment sales to large factories and the cyclicality of the semiconductor industry, but over the long term, demand prospects look fantastic. Manufacturers are planning hundreds of billions of dollars in capital expenditures to build new semiconductor factories. These factories will be stuffed with ASML lithography equipment.

ASML has a trailing price-to-earnings (P/E) ratio of 33. This is not dirt cheap in a vacuum, but I believe it makes the stock undervalued because of its future growth prospects, which will bring this P/E ratio down to a much more reasonable level. Buy ASML stock today and hold on tight for the long term.

ASML PE Ratio Chart

ASML PE Ratio data by YCharts

AI for consumers and enterprises

One of the reasons for the increased demand for computer chips and ASML equipment — perhaps the largest reason — is Alphabet. The owner of Google, Google Cloud, YouTube, Waymo, and Gemini keeps doubling down on AI.

The big technology company can win in AI by playing two fronts: consumer and enterprise applications. With everyday users it is adding new AI tools to Google Search while building out advanced conversational AI with the Gemini application. Gemini now has an estimated 350 million active users and is growing rapidly, although it is still smaller than OpenAI’s ChatGPT.

With immense scale and resources, Alphabet will be able to deploy AI tools across its applications that are used by billions of people around the globe.

On the enterprise side, Google Cloud is one of the leading AI cloud companies due to its advanced computing infrastructure. Google Cloud revenue grew 28% year over year last quarter to $12.3 billion, making it the fastest-growing segment for Alphabet. The division has invested heavily in its own computer chips called Tensor Processing Units (TPUs), which make it more efficient to build AI software applications on Google Cloud.

There is expected to be hundreds of billions of dollars spent on AI cloud workloads in the coming years, which will help Google Cloud keep growing as a bigger piece of the Alphabet pie.

Overall, Alphabet generated a whopping $360 billion in revenue over the past 12 months and $117.5 billion in operating income. Investors were previously worried about saturation of usage at Google Search, which has now proliferated around the globe. However, with the rise of AI applications, Alphabet looks to have increased its addressable market in organizing the world’s information, the company’s famous slogan. This will help revenue and earnings keep growing over the next decade.

Today, you can buy Alphabet stock at a measly P/E ratio of 20. This makes the stock undervalued if you plan on holding for many years into the future.

Suzanne Frey, an executive at Alphabet, is a member of The Motley Fool’s board of directors. Brett Schafer has positions in Alphabet. The Motley Fool has positions in and recommends ASML, Alphabet, and Nvidia. The Motley Fool has a disclosure policy.



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Russia allegedly field-testing deadly next-gen AI drone powered by Nvidia Jetson Orin — Ukrainian military official says Shahed MS001 is a ‘digital predator’ that identifies targets on its own

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Ukrainian Major General Vladyslav (Владислав Клочков) Klochkov says Russia is field-testing a deadly new drone that can use AI and thermal vision to think on its own, identifying targets without coordinates and bypassing most air defense systems. According to the senior military figure, inside you will find the Nvidia Jetson Orin, which has enabled the MS001 to become “an autonomous combat platform that sees, analyzes, decides, and strikes without external commands.”

Digital predator dynamically weighs targets

With the Jetson Orin as its brain, the upgraded MS001 drone doesn’t just follow prescribed coordinates, like some hyper-accurate doodle bug. It actually thinks. “It identifies targets, selects the highest-value one, adjusts its trajectory, and adapts to changes — even in the face of GPS jamming or target maneuvers,” says Klochkov. “This is not a loitering munition. It is a digital predator.”



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Artificial Intelligence Predicts the Packers’ 2025 Season!!!

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On today’s show, Andy simulates the Packers 2025 season utilizing artificial intelligence. Find out the results on today’s all-new Pack-A-Day Podcast! #Packers #GreenBayPackers #ai To become a member of the Pack-A-Day Podcast, click here: https://www.youtube.com/channel/UCSGx5Pq0zA_7O726M3JEptA/join Don’t forget to subscribe!!! Twitter/BlueSky: @andyhermannfl If you’d like to support my channel, please donate to: PayPal: https://paypal.me/andyhermannfl Venmo: @Andrew_Herman Email: [email protected] Discord: https://t.co/iVVltoB2Hg





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