Artificial intelligence

Artificial intelligence

Humans are likewise crucial for Cephla, which is deploying AI-powered microscopes in life science research, drug discovery, and diagnostics, said Hongquan Li, cofounder and CEO of the biotech company. Starting with malaria detection, humans are collecting data for training, annotating images, and providing input on relevant clinical metrics, he said. "When those machines are deployed, humans operate those microscopes and interact with patients and make the critical clinical decisions," Li said.

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.

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.

R1 is a 'reasoning' large language model (LLM) that excels at solving complex tasks - such as in mathematics and coding - by breaking them down into steps. It was the first of its kind to be released as open weight, meaning that the model can be downloaded and built on for free, so has been a boon for researchers who want to adapt algorithms to their own field.

"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?'"

IBM has topped an autumn flurry of Db2 updates with new features for its Intelligence Center console, promising to let users manage deployments of the 42-year-old database across on-prem, cloud, and containerized environments from a single place. IBM said its unified database management console was "AI-powered" to support refreshes across high-volume monitoring pages and reduce installation time with containerized deployments. It also promises enhanced monitoring of IBM's Db2 PureScale, a clustering technology for on-prem and cloud deployments, speeding up diagnosis and improving continuous availability.

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.

Microsoft has begun rolling out a public preview of native support for the Model Context Protocol (MCP) in the latest Windows 11 Insider builds, edging its much-touted "agentic OS" vision closer to reality. The update is rolling out to Windows Insiders on the Dev and Beta channels as part of build 26220.7344 and provides insight into where Microsoft is going with the technology.

Hello, fellow humans! AI chatbots will soon replace us. They have access to more knowledge than our puny brains can hold, and they can easily be turned into powerful agents that can handle routine tasks with ease. Or so we are told. I keep trying Microsoft Copilot, which uses OpenAI's GPT-5 as its default LLM, and I keep being disappointed. Occasionally, it gets things right, but just as often -- or so it seems -- it face-plants in spectacular fashion.

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.