through Google's new Interactions API, which is designed to give devs more control in the coming agentic AI era. The new Gemini Deep Research tool is an agent equipped to synthesize mountains of information and handle a large context dump in the prompt. Google says it's used by customers for tasks ranging from due diligence to drug toxicity safety research. Google also says it will
US President Donald Trump has signed an executive order aimed at blocking states from enforcing their own artificial intelligence (AI) regulations. "We want to have one central source of approval," Trump told reporters in the Oval Office on Thursday. It will give the Trump administration tools to push back on the most "onerous" state rules, said White House AI adviser David Sacks. The government will not oppose AI regulations around children's safety, he added.
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.
The rivalry between Elon Musk and Jeff Bezos is shifting from rockets to AI infrastructure. Both entrepreneurs envision a future in which data centers no longer operate on Earth but in orbit around the planet, a market with potentially enormous value. Blue Origin has been researching the technology needed to operate computing clusters in space for some time.
Amid this change, agentic Retrieval-Augmented Generation (RAG) becomes a critical asset. Whereas classic RAG grounded models in trusted data; agentic RAG adds multi-step reasoning, tool use and secure system coordination on top. In short, agentic RAG provides the scaffolding businesses usually can't construct themselves. Especially in the mid-market and for SMBs, obstacles like aging infrastructure, overextended teams and limited resources often stand in the way of custom-built AI.
The Intelligent Others is a riveting DW Learning by Ear audio drama written by James Muhando that explores how artificial intelligence is reshaping daily life in an imaginary African country. Follow cousins Jennifer, Faith, and Rahim in Inzuna as Rahim's bold AI inventions collide with a mysterious company offering "free money," a shocking government ban, and a devastating earthquake that pushes technologyand human relationshipsto their limits.
At Fortune's recent Brainstorm AI event in San Francisco, an expert roundtable grappled with that question as insiders shared how their companies are approaching security and governance-an issue that is leapfrogging even more practical challenges such as data and compute power. Companies are in an arm's race to parachute AI agents into their workflows that can tackle tasks autonomously and with little human supervision.
Katharine Jarmul challenged five common AI security and privacy myths in her keynote at InfoQ Dev Summit Munich 2025: that guardrails will protect us, better model performance improves security, risk taxonomies solve problems, one-time red teaming suffices, and the next model version will fix current issues. Jarmul argued that current approaches to AI safety rely too heavily on technical solutions while ignoring fundamental risks, calling for interdisciplinary collaboration and continuous testing rather than one-time fixes.
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.
Leaders need to make themselves vulnerable when it comes to AI. As Rajan observed, there is power in saying I don't know. Of admitting that I don't know what the future will hold or what the best AI use cases will be. That's a hard pill for most lawyers to swallow and for managing partners of a firm full of aggressive lawyers to admit.
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.
ChatGPT has a new feature allowing users to browse and shop products directly through AI-generated recommendations, without a search engine, shopping site, or even a scroll. It's the biggest shift in digital commerce since the algorithm killed the homepage. And if brands don't adapt fast, they'll be left behind in a conversation they're no longer part of. This isn't just about ecommerce. It's about how people choose what matters.
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.
For the past two years, my colleague Alex Reisner has investigated precisely how tech companies use massive data sets to train their LLMs. He has repeatedly found that so-called architects of AI have relied heavily on enormous databases of copyrighted work to create chatbots and other programs, and has also found that this work is generally taken without the consent or awareness of its creators: musicians, filmmakers, YouTubers, podcasters, illustrators, writers.
While the recap suggests Amazon's AI system can successfully combine clips, music and dialogue into a coherent video, it apparently lacks an understanding of the details. The inaccuracies in this recap won't prevent anyone from enjoying the second season of the show, but they don't exactly inspire confidence in Amazon's tool either. It also seems like a problem that could have been easily solved by having a human employee who's watched the show review the video before it was uploaded.
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.
