Artificial intelligence

Artificial intelligence

Following President Donald Trump's so-called Liberation Day, Atsmon said significant uncertainty emerged around the new administration's economic and geopolitical agenda. "If I look at the peak of uncertainty, what I was focused on as a CFO was: What are the things that I should be doing that would be helpful in any scenario?" Atsmon said. "The worst thing is inaction," he added. Acting on what you can control builds resilience, he said.

Google is testing integrating Search Live (Gemini Live - voice search as you talk) in AI Mode. Plus, this version shows citation cards as part of the answer, as you are having a conversational search with AI Mode. Sachin Patel spotted this and posted about it on X - in his screenshot, at the bottom right, you can see the Search Live button. When you click that button, Search Live is activated, and you can start talking to AI Mode for follow-up questions,

Bola Rotibi, chief of enterprise research at CCS Insight, said professionals should take practical steps to protect themselves. "Get fluent in prompts, verification, and basic data ethics and rules, such as GDPR and audit trails," she told ZDNET. "Shift from coordination to owning an end-to-end outcome. Define the task, select the tool, verify the result, and sign off. That human failsafe of design, integration, and governance is where resilience lives."

Allie Miller, for example, recently ranked her go-to LLMs for a variety of tasks but noted, "I'm sure it'll change next week." Why? Because one will get faster or come up with enhanced training in a particular area. What won't change, however, is the grounding these LLMs need in high-value enterprise data, which means, of course, that the real trick isn't keeping up with LLM advances, but figuring out how to put memory to use for AI.

"I view [AI] as a tool," said Howard via Eurogamer. "Creative intention comes from human artists, number one. But I think we look at it as a tool for, 'is there a way we can use it to help us go through some iterations that we do ourselves faster?'"

Criteo is betting that ChatGPT-style agents will become a major source of product discovery. Through experiments with LLMs, it wants to use its commerce data infrastructure to power recommendations that sit behind them. The company, historically associated with ad retargeting, is attempting to reposition itself for an AI-driven commerce era, and its latest demos suggest the company now sees large language models - not just retailers or demand-side platforms - as the next major distribution channel for advertising.

The model, DeepSeekMath-V2, scored 118 out of 120 points on questions from the 2024 William Lowell Putnam Mathematical Competition, beating the top human score of 90. The model also performed at the level of gold-medal winners in the International Mathematical Olympiad (IMO) 2025 and the 2024 China Mathematical Olympiad. The results are described in a preprint posted on arXiv on 27 November.

Mona Mourshed has spent over a decade working on the future of work. As CEO of Generation, one of the world's largest employment nonprofits, operating in 17 countries and helping more than 140,000 people land jobs, she has a front-row seat to how companies are grappling with artificial intelligence. Her takeaway: Many companies are rolling out AI without a clear strategy.

Google DeepMind CEO Demis Hassabis, whose company just released Gemini 3 to widespread acclaim, has made it clear where he stands on the issue. "The scaling of the current systems, we must push that to the maximum, because at the minimum, it will be a key component of the final AGI system," he said at the Axios' AI+ Summit in San Francisco last week. "It could be the entirety of the AGI system."

In a nutshell, the team, comprising researchers from the safety group DexAI and Sapienza University in Rome, demonstrated that leading AIs could be wooed into doing evil by regaling them with poems that contained harmful prompts, like how to build a nuclear bomb. Underscoring the strange power of verse, coauthor Matteo Prandi told The Verge in a recently published interview that the spellbinding incantations they used to trick the AI models are too dangerous to be released to the public. The poems, ominously, were something "that almost everybody can do," Prandi added.

What does it take to become the most successful AI surveillance company in 2025? If you're anything like Flock, the startup selling automatic license plate readers and facial recognition tech to cops, you don't really need much AI at all - just an army of sweatshop workers in the global south. Bombshell new reporting from 404 Media found that Flock, which has its cameras in thousands of US communities, has been outsourcing its AI to gig workers located in the Philippines.

At work, I've been digging into our platform and trying to learn as much as possible. One of the cooler features of Webflow is the CMS. You define a collection (type of content) which has a name and a set of fields. Each field has properties that define it. As an example, here's my Cat collection: Make note of the custom fields there. Along with and slug, and some metadata fields, they make up a definition of "Cat" that I can use within my site.

He's taking 25% of the money he previously invested in S&P 500 index funds-a meaningful chunk for a self-made millionaire -and moving it into a more diversified set of assets, including: S&P 500 value index funds, which tilt toward companies with lower valuations and less AI-driven hype. Mid-cap stocks, which he believes could benefit if smaller firms catch more of AI's productivity gains. International index funds, offering exposure outside the U.S. tech-heavy market.

November was the month AI went full gladiator mode: three frontier labs released their best models within a week, Google reclaimed the throne with Gemini 3, and open source proved it can win Olympic gold medals in mathematics. Meanwhile, the agent revolution became official doctrine at Microsoft and Google, and China's AI ecosystem hit escape velocity with 10 million app downloads in seven days.

Shopping online is easier than ever. Remember when you had to juggle 20 tabs, read through endless reviews and buyer's guides, and hunt through promo code sites to find a good deal? In 2025, AI can do all that for you. From researching products and comparing prices to finding deals and even carrying you all the way to checkout, the process is easy and, dare I say, fun.

For years, a US telecommunications company has been building proprietary AI models using phone and video calls placed by inmates in US prisons as building blocks.

I think Alphabet and Microsoft can top that figure by the end of 2026. Here's what my prediction would mean for shareholders: Alphabet is currently worth $3.8 trillion. The stock must increase 29% for the company to achieve a market value of $4.9 trillion. Microsoft is currently worth $3.6 trillion. The stock must increase 36% for the company to achieve a market value of $4.9 trillion.

One area in particular that needs careful study is the use of AI as a companion, Bird said. "I think this is one of the most important questions we are working to figure out because there is so much potential upside here, but you have to think, 'What are the controls and guard rails around it?'" State of play: Microsoft's AI chief Mustafa Suleyman recently told Axios the company is aiming to build safer, more human-centered frontier models.

When Amazon employees discovered they were being penalized by an algorithm for "inactivity," and managers started letting ChatGPT write their performance reviews, something began to feel off. The numbers add up, the systems are efficient - but the relationship feels hollow. We're no longer being led by people; we're being managed by machines. And somewhere deep inside us, something resists that. Not out of nostalgia, but out of psychology.

The big picture: Hassabis in May had predicted AI that meets or exceeds human capabilities - artificial general intelligence, or AGI - could come by 2030. What they're saying: In an interview with Axios' Mike Allen, Hassabis assessed the risk from a number of "catastrophic outcomes" of AI misuse as the technology develops, particularly "energy or water cyberterror." "That's probably almost already happening now, I would say, maybe not with very sophisticated AI yet, but I think that's the most obvious vulnerable vector," he said.