Artificial intelligence

Artificial intelligence

Proponents of AI preemption equate competitiveness with deregulation, arguing that state-level guardrails hamper innovation and weaken the United States in its technological competition with China. The reality is the opposite. Today's most serious national-security vulnerabilities involving AI stem not from too much oversight, but from the absence of it. AI systems already underpin essential functions across our economy and national-security apparatus, including airport routing, energy-grid forecasting, fraud-detection systems, real-time battlefield data integration, and an expanding range of defense-industrial-base operations.

Don't count on a college degree to land your dream job in Silicon Valley. Increasingly, founders and tech companies are judging talent by how quickly someone can learn, adapt, and build - not on how long they spent in a lecture hall - reshaping traditional pathways into the workforce. Fei-Fei Li, the Stanford computer science professor widely known as the "Godmother of AI," is one example of this.

designed and distributed a defective product that validated a user's paranoid delusions about his own mother.

We're increasing the number of inline links in AI Mode, and updating the design of those links to make them more useful. We're also adding contextual introductions to embedded links in AI Mode responses. These are short statements that explain why a link might be helpful to visit.

When the Magnificent Seven member reported FY 2026 Q1 earnings on Oct. 29, shares fell despite beating on EPS and revenue. The company announced earnings of $3.72 per share versus analysts' expectations of $3.67, and quarterly revenue of $77.67 billion versus analysts' expectations of $75.33 billion. On Oct. 1, the company announced that it was increasing its Xbox Game Pass subscription by 50%. In its last fiscal year, Microsoft saw more than 8% of revenue derived from its gaming segment, which now boasts 50 million monthly active subscribers and nearly $5 billion in YoY revenue.

Google has officially expanded the Web Guide to the "All" tab. Originally, when it launched as a Search Labs beta, it was under the "Web" tab, but as we saw, Google began expanding it to the "All" tab. Google has now confirmed it is now available in the all tab if you opt into the search labs experiment. There are a limited number of users who see the Web Guide without opting into it but that is a super limited test.

Dynatrace started collecting trace data from applications in 2005. Organizations wanted to know why an application was slow and what was happening exactly. That first generation was mainly manual and technical. "It was about collecting data and understanding what was going on," explains Spitzbart. APM has remained the company's foundation for a long time and remains a core component today.

It includes the potential for a new AI system, Gemini for Government, which the government hopes will cut bureaucracy, automate routine tasks and free up civil servants to focus on improving services for people. Through the partnership, Google DeepMind said its existing cutting-edge AI models will be made available to UK scientists. These include tools like AlphaGenome, which uses AI to sequence strands of DNA and spot potential weaknesses; and AI Co-scientist, supporting researchers to generate new theories and research proposals.

The episode featured the Honorable Sue Gordon, former principal deputy director of National Intelligence, Dr. David Bray, distinguished chair of the accelerator at the Stimson Center, and Prof. Barry O'Sullivan, vice chair of the European Commission's High-Level Expert Group on Artificial Intelligence. Their combined experience, spanning intelligence, technology, and organizational transformation, offered a compelling vision for executives navigating the AI era.

It may sound like a trip through the produce aisle, but leading AI companies have something much more important on their lists. Meta, OpenAI, and Google have all relied on food-related names for their sometimes secretive plans for future AI models. Thinking with your stomach is nothing new for Silicon Valley, just look at the assortment of desserts Android assembled over the years before Google had its fill.

On Wednesday, Oracle announced revenue and profit forecasts that fell short of analysts' expectations. At the same time, the company announced it would increase spending by $15 billion (€12.8 billion). Oracle's share price fell by 10 percent in after-hours trading. Oracle plays a prominent role in the AI race with ambitious plans to build AI cloud data centers. The company previously signed a five-year, $300 billion contract with OpenAI.

They know all too well how Alphabet, Amazon, Apple, Meta, Microsoft, Nvidia and Tesla have delivered more than half of the S&P 500's gains in recent years, setting a high bar for everyone else to clear. But things change: One minute, Alphabet is behind the curve on AI and then Google's latest Gemini launch sparked a 'Code Red' from ChatGPT's Sam Altman.

[Meta was] never interested in a truly open source model approach, just an open weights model approach. To really commit to open source, [it] would have to be willing to share its training data and give up control over model governance.

I don't think a single player is going to capture all of the pretty enormous amount of value that will be created in the next 10 years in this space,

When Polish endoscopists began using AI to detect cancer, their accuracy improved. But their performance on non-AI procedures got worse. When students used AI to draft SAT-style essays, their creativity initially spiked. Yet those who started with AI-generated ideas showed reduced alpha-wave activity (a marker of creative flow), " tended to converge on common words and ideas," and their "output was very, very similar" to one another's.

Reinforcement learning (RL) is the next frontier, Google is surging, and the party scene has gotten completely out of hand. Those were the through lines from this year's NeurIPS in San Diego. NeurIPS, or the "Conference on Neural Information Processing Systems," started in 1987 as a purely academic affair. It has since ballooned alongside the hype around AI into a massive industry event where labs come to recruit and investors come to find the next wave of AI startups.

When you think about it, the moment you start describing what you want the AI to build - the behavior, the constraints, the flows, the edge cases - you're already writing specs. And if those specs are clear enough, the AI can turn them into code, and even into tests. Call it ai-Driven Development ( aiDD). Or vibe coding. But the pattern is the same: The better the spec you write, the better the code you get.

At the Goldman Sachs U.S. Financial Services Conference on Tuesday, CFO Denis Coleman discussed the company's recently announced OneGS 3.0 initiative-a multiyear overhaul of its OneGS program aimed at integrating AI throughout the bank's operating model to reduce complexity and boost productivity. The effort is a top priority and will involve every division and function across the firm, from business lines to control functions to engineering, Coleman said. "At its core, it's an effort to drive more scale and more growth," he said.

An open licensing standard that aims to make AI companies pay for the content they vacuum up across the web is now an official specification. Really Simple Licensing 1.0 - or RSL for short - gives publishers the ability to dictate licensing and compensation rules to the web crawlers that visit their sites. The RSL Collective announced the standard in September with backing from Yahoo, Ziff Davis, and O'Reilly Media.

Jenny Xiao, partner at Leonsis Capital and former researcher at OpenAI, came in with a nuanced take. There's something of a bubble, but it's "relatively contained" in the infrastructure layer with overinvestment primarily in data centers, GPUs and in large language model companies. But right now, there's actually underinvestment in the application layer because there are so many ways AI can make an impact in various enterprises, Xiao said.

An initiative by a UK-based charity, supported by technology companies and universities, has developed an artificial intelligence (AI)-powered digital twin that allows people with communications disabilities to speak in a natural way. The technology, known as VoxAI, represents a step-change from the computer-assisted voice used by late physicist Stephen Hawking, one of the first well-known public figures with motor neurone disease (MND).

It was a distinctly clever, if somewhat surprising, choice from Altman who has mostly kept his personal life out of the media spotlight. But Altman is a salesman, and a good salesman understands the optics of good television. So he talked about being a dad and being worried that his son-who wasn't crawling at six months-was developing slower than other children (spoiler: he's not). "I cannot imagine having gone through, figuring out how to raise a newborn without ChatGPT," Altman told Fallon. "People did it for a long time, no problem. So clearly it was possible, but I have relied on it so much."