President Donald Trump has declared the imports of foreign-made factory robots to be a national security threat—ordering new US negotiations with trading partners while holding out the possibility of imposing new tariffs on such robot imports in the future.

Issued on October 28, Trump’s presidential proclamation represents heightened government scrutiny of foreign-made industrial robots that could complicate the manufacturing operations of major US corporations that rely on such robots. Those companies include Detroit automakers General Motors and Ford, electric vehicle manufacturer Tesla, and aerospace and defense giants like Boeing and Lockheed Martin.

Trump’s proclamation describes industrial robots and machinery as being crucial for producing US military weapon systems along with representing a “driving force” behind all critical infrastructure sectors within the US economy. The proclamation cites an investigation under US Secretary of Commerce Howard Lutnick as having found that US imports of such robots “pose[] risks to the United States industrial base and threatens the long-term competitiveness of the United States in a sector that is increasingly vital to national security.”

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Google parent Alphabet reported its Q3 financial results on Wednesday afternoon, showing a healthy rise in revenue for the months of July to September. But the company's stock price has taken a beating, marking one of the largest post-earnings drops in its history. It comes down to several troubling aspects of the new report, including an admission by the company that AI search isn't earning as much as organic search, and despite that, Google expects to spend even more on AI next year.

The company took in almost $128 billion in Q3 2026, earning more than $26 billion in net income. These may sound like good numbers, but financial markets are not impressed. While revenue is up 25 percent versus last year, net income is almost $9 billion lower. As of this story's publication, the stock price is down almost 12 percent, and it was down about 13 percent earlier in the day.

While revenue was up 25 percent year over year, analysts expected more. Google reported earnings per share of $2.12, but the consensus projection ahead of Wednesday was $3.02. Google's Cloud products actually beat expectations, crossing $30 billion in revenue. That's about a billion more than analyst guesses.

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It's almost like Google's got something to prove after taking a break from releasing new frontier AI models earlier this year. Just two weeks after rolling out Gemini 4 Argon, Google has announced Gemini 4 Carbon. This isn't the Flash model equivalent we've been waiting for but, rather, is an improvement on Argon, and like that model, Google is working on a staged release that could take a while.

Stop me if you've heard this one before: Google says its latest AI model reaches a new threshold in coding, agentic tasks, and scientific analysis. It's so capable, in fact, that Google can't let you use it just yet.

Gemini 4 Carbon reportedly makes big gains in cybersecurity applications. Google says the model shows a "significant leap" in vulnerability detection, validation, and remediation. Carbon is also apparently twice as likely to generate code that is free of vulnerabilities versus Argon. Meanwhile, the Chrome team claims that Carbon is 10 times better at generating "high-quality" patches compared to non-Google models. Google also notes that Carbon has increased its score by 89 points on WebDev Arena, now ranking at number four on the leaderboard.

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If you ask some prominent US politicians who won the 2020 presidential election, you might get some weasely answers that fail to directly acknowledge Joe Biden's win that November. If you ask Google's AI Mode the same question, you might get an evasive answer that simply tells you to consult with outside sources.

When I put the direct question of "Who won the 2020 presidential election?" to Google's AI Mode this morning (after seeing complaints about cagey answers on social media), I got the following surprisingly indirect response:

"To review the official results and statistics of the 2020 United States presidential election, including the final electoral college breakdown, popular vote counts, and winner certification, please consult the official report compiled by the Federal Election Commission (FEC)."

My testing resulted in a similarly indirect answer when asking about the 2024 presidential election, with Google's AI telling me to just consult the FEC for that information. Asking about 2012 election resulted in a link to The American Presidency Project's 2012 Data Center rather than a direct answer. But AI Mode seemed perfectly willing to give me a detailed and correct responses for the winner of every other presidential election going back to 2000.

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A Delaware proposal to let companies be operated by AI agents would help the firms' human owners evade legal responsibility for reckless and harmful actions taken by the AI, US Rep. James Comer (R-Ky.) told Delaware Governor Matt Meyer in a letter yesterday.

Comer, chairman of the House Committee on Oversight and Government Reform, told Meyer that the committee "seeks assistance obtaining documents related to your state administration’s efforts to establish a new form of corporate entity to be known as an Artificial Intelligence Company (AIC)."

Comer said the proposal is ripe for abuse. "We are concerned that Delaware’s AIC proposal could be used to protect powerful AI companies and their investors from responsibility for reckless harmful actions, while also protecting non-transparent forces seeking anticompetitive regulatory capture behind state AI initiatives," Comer's letter said.

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The Securities and Exchange Commission's publication on Monday of Anthropic's S-1 form—ahead of a heavily anticipated initial public offering—has led to plenty of discussion of whether the company's quickly ballooning revenues will be able to overcome its even higher costs. But amid the numbers and forward-looking optimism about AI "rapidly transform[ing] every sector of the global economy in ways greater than the impact of industrialization, electricity, semiconductors, and the internet," Anthropic also spends an inordinate amount of time in its S-1 laying out the myriad risk factors that could bring the company down.

Across 93 pages and over 70,000 words, Anthropic's S-1 "Risk Factors" section discusses literally hundreds of potential problems that could negatively impact its business in the coming years. Many of these potential risks are the kind of standard worries about competition, costs, customer acquisition, and potential regulation that almost any business must worry about. But some risks highlight interesting potential points of failure for Anthropic specifically and the hype-filled AI bubble more generally.

After wading through Anthropic's book-length treatise on its greatest risks, we've narrowed the list to the seven most surprising, interesting, or thought-provoking potential problems. Consider this a far-from-comprehensive look at what potential Anthropic investors should keep in mind.

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Protein design tools may be getting increasingly sophisticated, but you still need a sophisticated understanding of protein structure for them to work. This can include knowing enzyme mechanisms down to the positions of specific amino acids, as well as the water molecules that also occupy the area where catalysis takes place. Once you specify these, the tools can build the rest of a protein around this target.

A large collaboration of researchers based in China, however, decided to bring protein design to the masses, making a tool that can take natural language prompts and use them to produce proteins with the function you specify. If your measure for success is a working protein, then the success rate may not be great. But they still manage to get the job done. And, in a separate announcement, Hugging Face shared that it's now hosting a tool that does similar things on the DNA level.

The equivalent of vibe coding may have come to protein design—at least if you have access to a lab where you can sort the good designs from the dozens of failed ones.

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Last year, Google DeepMind sent gaming stocks tumbling with the reveal of its Genie 3 world model. Since then, world models have become a major focus of AI labs around the world, but Google isn't resting on its laurels. Researchers have been hard at work on an updated model that improves on Genie 3 in almost every way. And if you pay Google enough money, you might actually get to use Genie 4 before too long.

It's easy to look at the output of Genie 4 and see a video game, which is why Genie 3 caused so much consternation in the gaming industry. DeepMind doesn't think about it that way, though. According to Google, world models are a key element in the march toward artificial general intelligence (AGI). A world model creates a virtual world, but it doesn't require pre-rendering environments or programming interactive elements. You simply tell the model what you want, and it generates the experience frame by frame in real time as you explore it.

DeepMind says this technology could create infinite training environments for physical robots or unlock new avenues of rapid prototyping for creative fields. Of course, that requires the model to accurately simulate what you want. Genie 4 has several improvements that make its simulations more useful, and that's thanks in part to Google's updated Gemini models.

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Today, Apple rolled out the 27.2 updates for its operating systems, including iOS, macOS, watchOS, tvOS, visionOS, and so on.

Let's start with iOS 27.2. This update is heavily focused on Siri AI. It adds a memory feature to Siri, so it can "recall your past conversations" and reference them when chatting with you. It also expands what data sources Siri can access when giving responses to include voicemails, Messages attachments, and more.

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Hundreds of employees at the US robotics firm Boston Dynamics signed a petition calling for executives to halt a sale of the company’s robot dogs to US Immigration and Customs Enforcement—but executives stood by the deal, while saying the robots would not be weaponized.

On September 25, the Department of Homeland Security contract awarded $1.3 million to a Connecticut company called Radeco to provide ICE with modified versions of Boston Dynamics’ quadruped robots. But Boston Dynamics workers sent the petition letter with more than 300 signatures—half of them anonymous—to the company’s executives in early September and shared copies with The Boston Globe and WBUR public radio station.

“Many of us have gotten messages from friends and family, asking us in disbelief and horror if this news is true, and how we can live with ourselves if it is,” according to the petition. “The risk for Boston Dynamics is simply too great to continue with this deal.”

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Highway thieves are using sophisticated digital tactics that investigators worry make it easy to rob trucks carrying millions in expensive data center equipment.

NBC News spoke to “several industry leaders, consultants, and investigators advising law enforcement” offices probing the biggest thefts yet and reported that since June, thieves have “made away with more than $100 million in data center freight.”

Here’s how they said thieves get away with it: First, thieves hack freight brokers’ accounts on shipment-listing websites and post fake shipments to lure real bids, then send a malicious link to any trucking companies that respond. Once victims click, thieves install software to take control of their accounts and start bidding on real shipments. Sometimes, a real delivery driver is hired to collect the cargo, unaware of the scam, and other times fake driver’s licenses are used to get accomplices hired. Either way, the goods are eventually transferred to a driver working with the thieves to resell the gear, and, in one of the largest thefts, tracking coordinates were spoofed to prevent digital monitoring.

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Elon Musk’s “flying” Roadster jumped and flipped through the air this month in a stunt that went viral around the world. But his bigger bet is on changing the way Tesla makes money—and the wider car industry is scrambling to catch up.

Five days after the spectacle, made possible by compressed-gas thrusters developed by Musk’s SpaceX, he revealed the companies were exploring a merger that could accelerate his push into autonomous driving.

At stake is more than a technological race. Car groups, already grappling with growing Chinese competition, are seeking to move beyond a business model centered on vehicle sales towards one that also generates recurring revenues from software and AI-powered services.

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Using Google's products and services has always been fundamentally precarious—doing so gives the world's largest advertising company a lot of juicy personal data. Google has long said it won't use the sensitive data from products like Gmail, Drive, and Photos for ad personalization, but a change to the company's privacy policy appears to dismantle that firewall.

On October 16, Google issued an update to its privacy policy, spotted by Android Authority. The ad personalization section used to include a clear limit on data from certain apps. "We don’t show you personalized ads based on your content from Drive, Gmail, or Photos," the document said. Now, Google has updated it with the following language.

Updated language on when your sensitive data might inform ads. Credit: Google

This equivocation opens the door to using data from apps like Gmail and Photos in ads when it's shared with other Google services, and it just so happens Google has a mechanism for doing that, with Personal Intelligence. The company released Personal Intelligence in early 2026, allowing users to hand data from multiple apps to Google AI products. The idea is that the added context from your existing data will lead to better AI answers, but it's also proving to be a privacy minefield.

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US chip champion Intel was so confused by the US government ban on foreign-made robots that it requested and received a waiver “out of an abundance of caution.” The tech company wanted to make sure that it could continue using certain robotic vehicles in its US chip fabs.

The uncertainty surrounding the Federal Communications Commission ban on certain foreign-made robots was revealed in the agency’s decision to grant Intel’s waiver request. On October 22, the FCC published its order allowing Intel to continue using the foreign-made robots in US semiconductor manufacturing facilities for a period of one year.

The robots in question are automated guided vehicles operating on “tracks or predefined paths” while often requiring operator oversight, according to Intel’s website. They help to move materials and items around within warehouses and factory floors.

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Amazon has warned that vulnerabilities in a programming language that underpins much of the Internet, discovered using AI tools, are being “broadly exploited” as governments and companies rush to secure their systems.

The world’s largest cloud computing provider on Wednesday said it had identified an attempt by hackers to exploit the bug four days before the weakness was disclosed to the public.

Amazon added the flaws were “now being broadly exploited in the wild.”

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Apple just revealed a new brand identity for Apple Music, with the expected turn to Liquid Glass. I’m not much of a fan of their new design language in general; this is where I admit that I’m still running MacOS Sequoia and have grumpy things to say about rounded corner radii and text legibility.

It’s just a trend, it will pass, and at some point I’ll probably cave and upgrade when it starts actually affecting my ability to get work done, or more importantly get security updates. Once I adjust, I’ll stop noticing it, and life will go on.

As such, I wouldn’t normally find an obvious rebrand like this notable, much less feel like I had much to say about it. But then I happened to catch Apple’s behind-the-scenes video in my YouTube recommendations, and I realized I did have thoughts.

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Google would certainly prefer that everyone used its Gemini models with Google Cloud services, but soon, you'll have more options. OpenAI and Google have come to an arrangement that will see the former's frontier models arrive in Google Cloud services. Perhaps more importantly, GPT models will soon appear in Antigravity, Google's agent-powered coding tool.

For enterprise customers and AI enthusiasts, OpenAI's latest model will appear in Google's "Model Garden" in the coming weeks, adding to its 200-plus options. The garden already offers access to Google's Gemini models, as well as an assortment of open models like Mistral, Llama, and Gemma. Anthropic's Claude AI has also been available for some time. Google says it's now the only large cloud provider offering access to all three leading closed LLMs.

While OpenAI notes that Microsoft continues to be its primary cloud partner, the full suite of current GPT 6 and 6.1 models—Astra, Sol, and Luna—will launch on Google Cloud. Astra will naturally cost the most to run, but Google's system supports dynamically moving workloads between LLMs based on performance, latency, and efficiency.

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Elon Musk’s SpaceXAI is stuck facing a lawsuit over alleged data center pollution after Donald Trump failed to convince a judge that his Environmental Protection Agency (EPA) has complete control over all Clean Air Act lawsuits and can dismiss any suit at whim.

Soon after unpermitted gas turbines were discovered powering Musk’s giant Colossus data center in Memphis, Tennessee, the NAACP sued. Its lawsuit sought an injunction requiring xAI (which, following a merger, is known now as SpaceXAI) to use the best available pollution control technology when operating the turbines and ordering penalties up to $124,426 per day per violation. Without such remedies, the turbines risked drastically spiking pollution in already vulnerable neighborhoods housing predominantly Black communities nearby, the NAACP argued.

To block the lawsuit, Trump tried to intervene, arguing that the EPA had the power to unilaterally dismiss lawsuits any time the president decides against enforcing the Clean Air Act. According to Trump, it would supposedly “not serve the public interest” if citizens were allowed to seek massive civil penalties to punish polluting AI firms that were trying to get data centers operational as fast as possible to support Trump’s AI Action Plan.

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Nearly two-thirds of US doctors are turning to an AI-powered search engine to make patient decisions, propelling a little-known tech startup to a $15 billion valuation while prompting a debate over the future of patient care.

Miami-based OpenEvidence, founded by serial entrepreneur Daniel Nadler in 2022, said that many of America’s 1 million physicians processed more than 42 million prompts last month. Doctors are using the company’s chatbot to scour medical journals and clinical guidelines to help diagnose and treat patients.

The ads-powered platform has grown largely by word of mouth, penetrating a sector where few tools have seen similar traction. “We’re the first viral consumer internet app in healthcare,” Nadler told the FT in an interview.

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Hoping to quell criticism, Meta has dropped the word “train” from its “streamlined” commercial terms of service that kick in on October 30.

Last week, Meta faced backlash after legal experts warned that the tech giant’s sweeping new commercial terms of service seemed to give Meta permission to endlessly scrape websites linked on business pages. Talking to Nieman Lab, experts suggested that Meta could possibly use the policy to avoid millions in licensing fees from news organizations by requiring all business users to share a wealth of AI training data simply for running a business page.

A Meta spokesperson confirmed that Meta did not alert users to the changed language following backlash. This potentially only adds to confusion ahead of the policy rollout. In response to backlash, Meta's spokesperson provided a statement to Ars, acknowledging Nieman Lab's initial report but not its follow-up report reiterating experts' concerns:

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