Artificial intelligence

Artificial intelligence

Yes, the integration is rapid, and that's something that both [Rami] Rahim and [Antonio] Neri have been pointing to, that they're not going to take years and years to do this, that, you know, they're starting it now.

Reddit is considered one of the most human spaces left on the internet, but mods and users are overwhelmed with slop posts in the most popular subreddits. A Reddit post about a bride who demands a wedding guest wear a specific, unflattering shade is sure to provoke rage, let alone one about a bridesmaid or mother of the groom who wants to wear white. A scenario where a parent asks someone on an airplane to switch seats so they can sit next to their young child is likely to invoke the same rush of anger.

Six years ago, I asked Sam Altman at a StrictlyVC event in San Francisco how OpenAI, with its complicated corporate structure, would make money. He said that someday, he'd ask the AI. When everyone snickered, he added, "You can laugh. It's all right. But it really is what I actually believe."

At the center of the artificial intelligence (AI) chip negotiations has been Jensen Huang, the head of Nvidia and perhaps the most powerful man in the industry. By some measures, his chips have a 92% market share. The company's financial results and stock price would support that. The stock is up 1,250% in the past five years, far outpacing the S&P 500's 85% gain. Nvidia is the world's most valuable company by market cap at $4.46 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.

The AI upstart didn't use the attack it found, which would have been an illegal act that would also undermine the company's we-try-harder image. Anthropic can probably also do without $4.6 million, a sum that would vanish as a rounding error amid the billions it's spending. But it could have done so, as described by the company's security scholars. And that's intended to be a warning to anyone who remains blasé about the security implications of increasingly capable AI models.

Programmatic marketers may not understand AI but they're even more unsure of themselves. That was the undercurrent at this week's Digiday Programmatic Marketing Summit in New Orleans. Onstage discussions, offstage pow wows and the usually candid town halls all pointed to the same tension: everyone talking about AI, yet few felt equipped to shape what comes next. The dynamic landed with real force. This moment isn't about automation muscling out humans.

"Snowflake's most strategic partnerships are measured not just in scale, but in the depth of innovation and customer value that we can create together," he said. "Anthropic joins a very select group of partners where we have nine-figure alignment, co-innovation at the product level, and a proven track record of executing together for customers worldwide. Together, the combined power of Snowflake and Claude is raising the bar for how enterprises deploy scalable, context-aware AI on top of their most critical business data."

The biggest story in tech is AI's increasing capacity to take on tasks once reserved for human beings. But the agents driving that change aren't machines. They're humans-inventive, ambitious, enterprising ones. Our third annual roundup of some of the field's most intriguing players includes scientists and ethicists, CEOs and investors, big-tech veterans and first-time founders. These 20 innovators are tackling challenges from training tomorrow's AI models to speeding drug discovery to reimagining everyday productivity tools.

Agentic AI is all the buzz in the business world as people envision creating and using special AI agents to carry out both routine and complex tasks on their behalf. Now, Google is launching a new product for Workspace users who want to see if they can benefit from such agents.

sometimes feels like a toddler that you give a permanent marker to and see what it writes on the wall,

What if the chatbots we talk to every day actually felt something? What if the systems writing essays, solving problems, and planning tasks had preferences, or even something resembling suffering? And what will happen if we ignore these possibilities? Those are the questions Kyle Fish is wrestling with as Anthropic's first in-house AI welfare researcher. His mandate is both audacious and straightforward: Determine whether models like Claude can have conscious experiences, and, if so, how the company should respond.

Because AI is garbage. It's an inherently antihuman technology that is doing active harm to the now hundreds of millions of people who consume it. A recent MIT study showed that using AI bots, like ChatGPT, can deaden your cognitive skills. Multiple parents have filed suit against ChatGPT's parent company, the former nonprofit outfit OpenAI, accusing the product of encouraging their children to (successfully) die by suicide.

This challenge is sparking innovations in the inference stack. That's where Dynamo comes in. Dynamo is an open-source framework for distributed inference. It manages execution across GPUs and nodes. It breaks inference into phases, like prefill and decode. It also separates memory-bound and compute-bound tasks. Plus, it dynamically manages GPU resources to boost usage and keep latency low. Dynamo allows infrastructure teams to scale inference capacity responsively, handling demand spikes without permanently overprovisioning expensive GPU resources.

One concern many users have about AI is that often their data leaves their PC and their network, with inferencing happening in the cloud. They have big questions about data protection. That's one of the main drivers for Microsoft's Copilot+ PCs; the neural processing units that are built-in to the latest CPU systems on a chip run inferencing locally using small language models (SLMs) and other optimized machine-learning tools.

What if your workday could be smarter, faster, and more secure, all thanks to the tools you already use? With the latest updates to Microsoft 365, unveiled alongside key announcements at the Ignite conference, that vision is closer than ever. From AI-driven innovations that automate tedious tasks to security enhancements designed to protect sensitive data, Microsoft is redefining how we collaborate and stay productive in an increasingly hybrid world.

"The business model of the internet has always been to generate content that drives traffic [to a website] and then sell either things, subscriptions, or ads," Prince told WIRED's executive editor, Brian Barrett. "What I think people don't realize, though, is that AI is a platform shift. The business model of the internet is about to change dramatically. I don't know what it's going to change to, but it's what I'm spending almost every waking hour thinking about."

Karrot, a leading platform for building local communities in Korea, uses a recommendation system to provide users with personalized content on the home screen. The system consists of the recommendation machine learning model and a feature platform that acts as a data store for users' behaviour history and article information. As the company has been evolving the recommendation system over recent years, it became apparent that adding new functionality was becoming challenging, and the system began to suffer from limited scalability and poor data quality

The ability to forecast the future is a valuable sign of intelligence and a good test of AI's capabilities. How good is ChatGPT at prediction? An answer to this fascinating question emerged recently when economist David Seif wrapped up an annual forecasting contest he runs for a secret group of economists, hedge fund investors, and tech executives. In its seventh year, the challenge requires contestants to predict roughly 30 events.