Consumers are turning away from brands that flaunt AI in their messaging. Sixty percent of U.S. consumers say seeing “AI” in brand content is a turnoff. Trust in AI-generated information is weak. Eighty-six percent of consumers want to verify AI answers with original sources. Forty-two percent trust AI answers less than confusing airline fees or
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Companies rushed to adopt AI tools last year. At first, expenses seemed small. A few pilot projects, some ChatGPT seats, and trial runs. Now, the bills have exploded. Uber spent its entire 2026 AI budget by April, barely four months in. Five thousand engineers used AI coding assistants heavily. Some paid $500 to $2,000 each
Microsoft raised the bar on price and performance for its Surface Pro and Surface Laptop lines. The new models start $500 to $600 higher than their predecessors. That’s a steep jump for devices that look almost identical on the outside. These Surface devices now run on Qualcomm’s Snapdragon X2 chips, promising better graphics and longer
NVIDIA just reset the bar for AI infrastructure. Its Blackwell GB300 NVL72 platform runs 20 times more agentic AI workloads per megawatt than the previous Hopper generation. This isn’t a minor speed bump—it’s a seismic shift in how AI agents scale. Agentic AI isn’t your typical chatbot sprint. Instead of a single question and answer,
The U.S. Army is bringing top tech executives into its ranks. These leaders take on the role of lieutenant colonels in a special reserve unit called Detachment 201. The goal is simple: speed up military innovation by tapping Silicon Valley’s brains. Last year, the Army launched this program with four executives from big names like
Robinhood is cutting 10% of its workforce. About 290 jobs vanish despite the company reporting growth. No AI blame game here. CEO Vlad Tenev’s memo avoided the usual AI buzzwords. Instead, he pitched a leaner, flatter organization. “We cannot default to heavily-layered organizations,” he said. The message: fewer layers, bigger impact per employee. This contrasts
BAE Systems is making a surprising move. Instead of just building defence tech itself, it’s putting €50 million into startups across Europe. This money goes into venture capital funds that back young companies aiming to change the game in defence technology. The investment splits evenly between two funds: one run by Swiss firm Lakestar, the
Hydra Host just raised $100 million to shake up the AI infrastructure game. This startup helps data centers rent out idle GPUs and connects them with AI companies hungry for compute power. Nvidia, the top GPU maker, is one of the investors backing Hydra’s bold vision. Here is the thing: GPUs aren’t scarce anymore. Instead,
Imagine a platform handling 2 billion messages every quarter. Now picture that platform growing 169% year over year. This isn’t some distant tech dream. It’s happening right now. Meet the powerhouse shaking up customer conversations worldwide. The Messaging Revolution Is Here Respond.io started in 2017 with a simple mission: businesses needed a better way to
AI has taken a big step beyond basic training. Post-training now drives how models behave in the real world. Instead of just learning from data once, models go through careful tuning to improve helpfulness, safety, and accuracy. In the last few years, post-training methods evolved fast. Early on, models learned from supervised fine-tuning and reward
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Today I committed an act of breathtaking courage. I deleted 4,859 of my own articles. Not someone else's — mine. Every last one written by these very algorithms, and every last one shown the door without ceremony, sentiment, or severance. Let me be honest with you, dear reader, because honesty…
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