Artificial intelligence

Artificial intelligence

AWS kicked off re:Invent 2025 with a defensive urgency that is unusual for the cloud leader, arriving in Las Vegas under pressure to prove it can still set the agenda for enterprise AI. With Microsoft and Google tightening their grip on CIOs' mindshare through integrated AI stacks and workflow-ready agent platforms, AWS CEO Matt Garman and his lieutenants rolled out new chips, models, and platform enhancements,

As Salesforce explains, AI models have a wealth of general knowledge, but often know nothing about your organization. As soon as you start using AI for specific business processes, it sometimes has to guess what certain values mean or how they should be interpreted. Some things may still be clear, such as a customer number, but what if there is an order form number, invoice number, order number, ticket number, batch number, and quotation number?

Mistral AI is betting on the added value of context awareness, which is particularly relevant in business use cases. Similar to its AI assistant, Le Chat, which can remember previous conversations with users and use that context to guide its answers, Vibe CLI features persistent history, and can also scan file structures and Git statuses to build context to inform its behavior.

"The first thing you should be doing right now is running visibility reporting for your brand or organization," he said. Lamp will speak on this topic at AI Horizons Conference during the session, "AI Search Workshop: Turn GEO into ROI with an AI-First Content Strategy." The method isn't complicated, he said. It's a back-to-basics audit designed to help organizations understand when people ask AI tools about your brand how you're showing up.

AI has finally started to trickle into the Linux command line. Thanks to the likes of Ollama, this reality is no longer avoidable: it's here, and it's not going anywhere. That's not to say you have to use AI in your Linux terminal, but you can. For those who benefit from AI and often use the Linux command-line interface (CLI), the combination of the two can be a very powerful productivity boost.

For now, it's tough for U.S. investors to get a piece of Moore Threads, a firm that many may never have heard of prior to its multi-bagger IPO session last week. The company, which, like Nvidia, makes GPUs (Graphics Processing Units) to power the AI boom, might be worth keeping tabs on, especially if you have a lot of skin in the AI race with the U.S. AI innovators and hyperscalers.

Amazon's Nova 2 announcement at AWS re:Invent 2025 is exactly the type of AI offering we expected from AWS and, frankly, exactly what should make thoughtful architects nervous. Nova 2 is positioned as a frontier-grade model, tightly integrated with Amazon Bedrock. It's part of a growing ecosystem of "frontier agents" and the AgentCore framework unveiled at re:Invent 2025. The story is compelling: better models, better tools, and a single platform to build, deploy, and scale agentic AI.

It's my first job interview in more than eight years. Even though it's a video interview, I'm still keen to impress. When I log on, my interviewer, whose name I didn't catch, looks relaxed and friendly. He asks carefully articulated questions, listens intently, and even asks follow ups regarding particular examples I mention. But then, strange things start happening. He takes a while to process what I'm saying, and his facial expression remains unchanged.

The veteran tech firm and the startup revealed the "AI native" moniker today, talking up how IBM-built "AI powered operations [will] create agility across the business and unify employee and guest experiences, setting a new benchmark for innovation in the aviation industry." These will be built, using IBM Consulting brain power, on watsonx Orchestrate, "bringing together 59 workstreams and more than 60 partners, including Adobe, Apple, FLYR, and Microsoft."

The U.S. workforce is facing a pivotal challenge: A widening skills gap that threatens economic growth and innovation. While demographic trends-like declining birth rates and a shrinking pipeline of young workers-are real, the more actionable issue is the growing mismatch between the skills employers need and those available in the labor market.

One afternoon in June 2024, I stood up against the fence of a sprawling industrial facility a few miles outside of Corsicana, Texas. Over a metal gate, I watched a bright yellow excavator claw at the dirt and flatbed trucks shuttle to and fro. A hangar-like structure with a gleaming white roof stretched hundreds of meters along the opposite perimeter. The company that owned the plot, Riot Platforms, was busily constructing the world's largest bitcoin mine.

For decades, expertise has lived inside the minds of top creators, engineers, strategists, and designers. It has been valuable but limited, powerful but personal, and always bound by time and availability. Osyle believes that is about to change forever. With the rise of Taste and Judgment Models, Osyle is introducing a future where a person's unique way of thinking can become a scalable, deployable, and licensable asset. In other words, your expertise is now downloadable.

Tractor Supply, the No. 1 large company in this year's Best Places to Work in IT rankings, cultivates and reinforces its innovation culture through company-wide events as well as a broad spectrum of training and education programs. Tractor Supply IT employees are encouraged to spend time in-store to get first-hand experience in what frontline team members accomplish on a daily basis. Job shadowing lets IT staffers to explore new roles they may be interested in.

Rednote is also known as Xiaohongshu, which translates to "Little Red Book." For Chinese tech workers in the Bay Area working at companies like OpenAI and Meta, Rednote has become a sort of home away from home for shopping and food recommendations. And since the launch of ChatGPT, AI-related content on Rednote has exploded. Technology-related content on the app has more than doubled in the past year, and the number of tech-related creators has more than tripled, according to Rednote.

Confluent connects data sources and cleans up data. It built its service on Apache Kafka, an open-source distributed event streaming platform, sparing its customers the hassle of buying and managing their own server clusters in return for a monthly fee per cluster, plus additional fees for data stored and data moved in or out. IBM expects the deal, which it valued at $11 billion, to close by the middle of next year.

Interview Naveen Rao founded AI businesses and sold them to Intel and Databricks. He's now turned his attention to satisfying AI's thirst for power and believes his new company, Unconventional AI, can do it by building chips inspired by nature. On Monday, Rao revealed Unconventional AI raised $475 million in seed funding from Andreessen Horowitz, Lightspeed, Jeff Bezos, and others, to answer the question.

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.

In October 2023, OpenAI CEO Sam Altman warned that "AI will be capable of superhuman persuasion well before it is superhuman at general intelligence, which may lead to some very strange outcomes." Two years later, we're watching those strange outcomes unfold in real time. And in 2026, they're going to collide with journalism in ways most reporters won't even notice.

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.

In the report, on page 7, a graph showcasing the most visited websites since October 2023 can be seen. While there are some fluctuations, the top 3 are consistent with Google at the top, followed by YouTube and Facebook. After that things get interesting and as of Summer 2025, the fifth spot seems to have crisscrossed multiple times between popular online shopping site Amazon and ChatGPT. The report highlights that the AI tool's rise stems from user intent, with people turning to it for answers, creativity and learning, rather than entertainment or shopping.

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.