Artificial intelligence

Artificial intelligence

Artificial intelligence (AI) seems to be constantly marching forward across nearly every industry. While food service is an area that has long relied on human touch (be it via skilled cooks or friendly faces interacting with customers), it too is facing a new wave of AI-powered technologies. These innovations are often sold as being a means to improve working conditions by increasing efficiency and reducing stress - particularly in hectic fast food kitchens -

Free riding isn't just unfair. It's stealing,

A whole bunch more Epstein Files dropped over the weekend if you hadn't noticed, and , they sure are chock full of mentions of Tesla CEO Elon Musk. This is obviously uncomfortable for Musk, because the emails show him practically begging for invites to the notorious Epstein island, despite the fact that Musk has long claimed that he refused such invites, and the fact that Musk has fancied himself some sort of advocate for releasing the Epstein Files.

Brain implants are beginning to help people with severe disabilities to speak and even sing in near-real time. Now, a company wants to read people's minds and treat mental conditions without implanting electrodes deep into the brain by using ultrasound - high-frequency sound waves above the range of human hearing. Merge Labs, which launched last month with only a vague description of its goals, is one of many companies in a booming brain-computer interface (BCI) market.

After pouring so much capital into artificial intelligence (AI) as well as its Reality Labs metaverse business, Meta Platforms has drawn scrutiny from its critics. Indeed, some skeptics might claim that Meta Platforms hasn't earned its title as a Magnificent Seven member. Yet, there are two sides to every debate in the financial markets. After reviewing the relevant facts, you should be convinced that META stock is actually a "Mag-7" asset worth owning this year.

Over the past three years, several Latin American countries have witnessed the arrival of the Orb, a futuristic-looking spherical device used to read irises and capture biometric data. This striking technology, developed by World Foundation and created by Sam Altman, a leading figure in artificial intelligence and CEO of OpenAI, along with its operational partner, Tools for Humanity, has been installed in shopping malls, gas stations, and other locations in Colombia, Chile, and Brazil.

Elon Musk's SpaceX has filed plans with U.S. regulators to launch up to one million satellites into low-Earth orbit. Together, these satellites will act as an orbital data center to power artificial intelligence. SpaceX currently operates more than 9,600 of the 15,000 or so satellites that are orbiting Earth; those SpaceX satellites provide the company's Starlink Internet service to millions of customers worldwide. The scale of the new proposal is far and away the largest of any planned satellite constellation.

OpenAI has released Open Responses, an open specification to standardize agentic AI workflows and reduce API fragmentation. Supported by partners like Hugging Face and Vercel and local inference providers, the spec introduces unified standards for agentic loops, reasoning visibility, and internal versus external tool execution. It aims to enable developers to easily switch between proprietary models and open-source models without rewriting integration code.

For decades, HR professionals were denied their "seat at the table" in company leadership. But during the COVID pandemic, it became abundantly clear that the C-suite could no longer ignore chief people officers, who guided companies through existential business challenges, including lockdowns, remote work, and the Great Resignation. Now, a quieter and more structural shift is underway. The seat remains, but the authority attached to it is moving elsewhere.

It feels like an episode of The Jetsons come to life, but the truth is that the AI boom has officially entered the physical world. Most of us interact with artificial intelligence through screens- Gemini drafts our emails, ChatGPT summarizes our docs-but behind the scenes, engineers are racing to give AI hands and feet. Robots already pack boxes in warehouses and make guacamole in fast-food kitchens. Soon, they will be washing dishes, taking care of pets, and performing your manicure.

Cowork was introduced earlier this month as an agentic tool that builds on the capabilities of Claude Code, but is intended for a much broader audience than just developers. By adding plug-ins, Anthropic aims to improve practical usability. The plug-ins are designed to automate specific tasks within organizations. Examples include drafting marketing texts, checking legal documents for risks, or preparing answers to customer questions. According to Anthropic, standardizing these tasks allows teams to work more consistently and efficiently.

Oracle Corp. plans to raise $45 billion to $50 billion this year through a combination of debt and equity sales to build additional cloud infrastructure capacity, reflecting the scale of financing needed to feed AI's growth. The company is raising money to build additional capacity to meet the contracted demand from the company's largest cloud customers, including Advanced Micro Devices Inc., Meta Platforms Inc., Nvidia Corp., OpenAI, TikTok Inc. and xAI Corp., the company said in a statement Sunday.

Traffic. Focusing on traffic obscures the purpose of AI answers: to satisfy a need on-site, not to generate clicks. AI-generated solutions do not typically include links to branded websites. Google's AI Overviews, for example, sometimes links product names to organic search listings. Thus visibility does not equate to traffic. A merchant's products could appear in an AI answer and receive no clicks.

DRAM contract prices are now expected to rise around 90 to 95 percent quarter-over-quarter. NAND flash similarly sees a huge jump, with expected prices ballooning by 55 to 60 percent compared to Q4 2025. Specifically, PC DRAM prices could more than double even from their elevated positions late last year. This will invariably result in overall price increases across all product categories, though varying in significance depending on component costs.

Daggr allows developers to define workflows programmatically in Python while automatically generating a visual canvas that exposes intermediate states, inputs, and outputs for each step in the pipeline. Daggr simplifies applied AI development by organizing workflows as directed graphs, allowing for independent inspection and re-execution of each node. This method enhances debugging and speeds up iteration by tackling the issue of slow and unclear experimentation,

Instead of paralyzing China's AI sector, these controls have promoted domestic self-reliance. With no choice but to develop indigenous workarounds and architectural innovations, Chinese businesses are decoupling AI progress from sheer hardware volume. U.S. policies have undoubtedly bought time, but they have also ushered in a parallel innovation ecosystem totally independent of Western influence.

The opportunity is enormous: to reimagine work, unlock creativity, and expand what organizations and people can do. So is the pressure. In response, many organizations are rolling out tools and launching pilots. Some of this activity is necessary. Much of it, however, misses the deeper point. Too many leaders are asking: how will AI change us? The better question is: what kind of leadership will we build to guide AI?

If AI tools still feel inconsistent, slow, or hit-or-miss, the problem usually isn't the technology-it's how you're using it. trAInedup.ai focuses on the skill that actually determines results: prompt engineering. Instead of chasing new platforms, it teaches you how to get reliable, high-quality output from the AI tools you already rely on. Right now, the trAInedup.ai Basic Plan is available for a one-time payment of $79.99 (reg. $459), giving entrepreneurs lifetime access to practical, structured AI training.

As economist Dean Baker explains for the Center for Economic Policy and Research, for AI companies' current valuations to make sense, they'd need profit growth over the next five years that requires one of two things: either AI starts bringing in cash by the truckload, or profits for all the other corporations in America collapse. Both prospects seem extremely unlikely, yet the AI investments keep coming - and they seem to be dragging American workers into an economy their wages can't support.