标签：#Business

Nine major suspected cargo thefts happened at Tesla’s Nevada battery factory in January alone, according to sheriff’s records obtained by WIRED.

Flexion Robotics, a startup founded by ex-Nvidia engineers, has a clever way of training robots to do useful work.

Where to eat, stay, work, and eat some more while visiting Space City on business.

The Chinese supercomputer LineShine was ranked as the fastest in the world, despite not using any GPUs.

Tim Cook recently said price increases were "unavoidable" and described the company's pricing as "unsustainable." The 16-inch MacBook Pro saw its price go up by $300. The 11-inch iPad Air went from $599 to $749. Even the HomePod Mini got a $30 bump to $129. Cook squarely placed the blame at the feet of the […]

After weeks of negotiations, the White House permitted Anthropic to restore access to its most advanced AI model for a select group of US companies and government agencies.

As Anthropic tightens restrictions on access to Claude in China, users keep finding new workarounds, from proxy services to fake identities sourced on Telegram.

Everyone is selling AI to small businesses right now. Most of it is hype. But some of it is genuinely useful — and knowing the difference can save you thousands in wasted tooling. I run a small agency in Stuttgart that builds websites and automations for local service businesses: coaches, doctors, beauty studios, consultants. Here's what actually moves the needle for them in 2025. What "AI Automation" Actually Means for Small Businesses Forget the generic pitch. For a local service business, AI automation is useful in exactly three places: Client communication at scale — responding to inquiries 24/7 without hiring a receptionist Reducing admin time — intake forms, follow-ups, reminders, invoicing triggers Content creation — but only as a speed boost, not a replacement for your voice Anything beyond that is usually overkill for a business under 10 employees. The One Automation Every Service Business Should Have Automated follow-up after initial contact. Here's the typical flow without automation: Client fills out contact form You see it 4 hours later You write a reply If you're busy, it takes a day Client has already booked elsewhere With automation: Client fills out form Immediate confirmation email ("Got your message, here's how to book a slot") Link to booking calendar You're notified. If they don't book in 48h, a follow-up email goes out automatically This alone converts 20-40% more inquiries into booked clients. No AI model needed — just a simple workflow in n8n, Make, or Zapier. Where LLMs Actually Help Language models (ChatGPT, Claude, etc.) are genuinely useful for small businesses in these areas: Intake Forms → Personalized Responses A coaching client fills out a detailed intake form. Normally, you'd spend 20 minutes reading it and writing a personalized welcome email. With a simple LLM integration: Intake form submitted Webhook fires to n8n LLM reads the form, generates a personalized summary + welcome You review it in 30 seconds and hit send Same personal

The White House asked OpenAI to delay the rollout of its GPT-5.6 AI models, two weeks after Anthropic had to take its most advanced AI models offline.

It's a stretch to think that the continent can build a top-tier model, but it has an advantage: Donald Trump.

Anthropic's critics argue it's rapidly accumulating power. The company says that's what responsible AI development looks like.

Amazon-owned MGM Studios’ decision to drop the OpenAI movie is just part of AI and film industries becoming increasingly intertwined. On Uncanny Valley, we take a look at where this is all headed.

This year, FIFA is providing an AI agent that any team can use. Is it enough to level the playing field or will future winners be determined by which team can afford the best tools?

The AI arms race between China and the US has researchers on both sides worried about a “Chernobyl moment.”

Modular, one of the most promising chip software startups of the AI era, heads for a multibillion-dollar exit.

Bob Iger's tenure as CEO of Disney came to an end a few months ago, after two decades of leading the entertainment giant through some of its most pivotal transformations and acquisitions. Iger, in an exit interview with The Financial Times, has now confirmed some significant efforts that didn't pan out, such as walking away […]

The move comes after the company left potentially sensitive data from the initiative exposed internally.

Employees had previously raised concerns about the initiative, which involves collecting workers’ keystroke data to train AI models.

"Fractional CTO" has become the title people put on their LinkedIn profile when "senior developer" doesn't sound senior enough. I play this role for some of my clients, so I have opinions about what it actually means — and what it doesn't. The confusion isn't just semantics. If you hire the wrong thing under this label, you pay consulting rates for work that a good contractor would have done better. The Problem with the Label The term covers a surprisingly wide range of people and arrangements. At one end, you have experienced technical leaders — people who have actually run engineering organizations, made architectural decisions that constrained companies for years, hired and let go technical staff, and owned the consequences. At the other end, you have developers who decided their day rate felt more justifiable with a fancier title. Both call themselves fractional CTOs. The market hasn't sorted this out yet. The reason it matters: these are fundamentally different services with different prices, different deliverables, and different risks. Mixing them up is how companies end up paying €200/hour for someone to help them choose a JavaScript framework. What a Real Fractional CTO Actually Owns Owns is the operative word. Not "advises on." Not "contributes to." Owns. Technical architecture decisions. When you're building a system that will handle real volume, real users, and real money — the decisions made in the first few months constrain everything that follows. What database, what caching strategy, how the services are separated, where the complexity lives. A fractional CTO makes those calls and stakes their reputation on them. They're not writing a report about options. They're deciding. Tech stack and vendor selection. When a vendor pitches you something, someone needs to evaluate it who has seen enough vendors to know which ones are overselling. When a developer suggests a library, someone needs to know whether it's the right tool or just the tool that developer

Big Tech is throwing big money into data center buildouts. As national opposition to the facilities grows, some workers are beginning to question whether it’s worth it.