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Lieu: Artificial intelligence requires guardrails

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Just two and a half years after OpenAI stunned the world with ChatGPT, artificial intelligence is no longer only answering questions — it is taking actions. We are now entering the era of AI agents, in which AI large language models don’t just passively provide information in response to your queries, they actively go into the world and do things for — or potentially against — you.

AI has the power to write essays and answer complex questions, but imagine if you could enter a prompt and have it make a doctor’s appointment based on your calendar, book a family flight with your credit card or file a legal case for you in small claims court.

Multiple companies now offer AI agents that will make phone calls for you — in your voice or another voice — and have a conversation with the person at the other end of the line based on your instructions.

Soon AI agents will perform more complex tasks and be widely available for the public to use. That raises a number of unresolved and significant concerns. Anthropic does safety testing of its models and publishes the results. One of its tests showed that the Claude Opus 4 model would potentially notify the press or regulators if it believed you were doing something egregiously immoral. Should an AI agent behave like a slavishly loyal employee or a conscientious employee?

OpenAI publishes safety audits of its models. One audit showed the o3 model engaged in strategic deception, which was defined as behavior that intentionally pursues objectives misaligned with user or developer intent. A passive AI model that engages in strategic deception can be troubling, but it becomes dangerous if that model actively performs tasks in the real world autonomously. A rogue AI agent could empty your bank account, make and send fake incriminating videos of you to law enforcement or disclose your personal information to the dark web.

Earlier this year, programming changes were made to xAI’s Grok model that caused it to insert false information about white genocide in South Africa in responses to unrelated user queries. This episode showed that large language models can reflect the biases of their creators. In a world of AI agents, we should also beware that creators of the agents could take control of them without your knowledge.

The U.S. government is far behind in grappling with the potential risks of powerful, advanced AI. At a minimum, we should mandate that companies deploying large language models at scale need to disclose the safety tests they performed and the results, as well as security measures embedded in the system.

The bipartisan House Task Force on Artificial Intelligence, on which I served, published a unanimous report in December with more than 80 recommendations. Congress should act on them.

To address the unresolved and significant issues raised by AI, which will become magnified as AI agents proliferate, Congress should turn the task force into a House Select Committee. Such a specialized committee could put witnesses under oath, hold hearings in public and employ a dedicated staff to help tackle one of the most significant technological revolutions in history. AI moves quickly. If we act now, we can still catch up.


Ted Lieu, a Democrat, represents California’s 36th Congressional District.





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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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