Artificial intelligence

Artificial intelligence

As though exercising my corporeal form wasn't trial enough, now robots? Who in their right mind would want a walking, talking surveillance machine inside their home? The privacy invasion required for such robots to function goes far beyond your smart speaker listening into your conversations, your automatic pet feeder capturing footage, or your Roomba mapping the inside of your home and sharing it with Amazon.

You should be looking for butterflies-not faster caterpillars. The definition of transformation is exactly that-caterpillars becoming butterflies. Otherwise, you are not recognizing AI's potential. As with the internet, it's a once-in-a-generation opportunity to reimagine how you do business. When it comes to implementation, there will always be a certain amount of experimentation, but many experiments fail because people think of AI as one monolithic thing. You need to break it into two steps.

Frontends are no longer written only for humans. AI tools now actively work inside our codebases. They generate components, suggest refactors, and extend functionality through agents embedded in IDEs like Cursor and Antigravity. These tools aren't just assistants. They participate in development, and they amplify whatever your architecture already gets right or wrong. When boundaries are unclear, AI introduces inconsistencies that compound over time, turning small flaws into brittle systems with real maintenance costs.

This significant exposure has raised concerns around widespread and permanent job loss, sparking fears of a 'job apocalypse' or 'humans going the way of horses.' Anthropic revealed this week that one of its AI tools, Claude Code, built a new product, Cowork, which allows others to use AI for workplace tasks normally done by humans - creating presentations, summarizing meetings, consolidating research. You read that right: AI built AI that will displace human work with AI. Use that for a glimpse of what's coming.

AI labs just can't get their employees to stay put. Yesterday's big AI news was the abrupt and seemingly acrimonious departure of three top executives at Mira Murati's Thinking Machines lab. All three were quickly snapped up by OpenAI, and now it seems they won't be the last to leave. Alex Heath is reporting that two more employees are expected to leave for OpenAI in the next few weeks.

I was born an only child, but now I have a twin. He's an exact duplicate of me -down to my clothing, my home, my facial expressions, and even my voice. I built him with AI, and I can make him say whatever I want. He's so convincing that he could fool my own mother. Here's how I built him-and what AI digital twins mean for the future of people.

As part of Wikipedia's 25th anniversary, parent company Wikimedia a slew of partnerships with AI-focused companies like Amazon, Meta, Perplexity, Microsoft and others. The deals are meant to alleviate some of the cost associated with AI chatbots accessing Wikipedia content in enormous volumes by giving the tech companies streamlined access. As noted by , the timeline on these deals is a little squirrely.

It's about replacing entire layers of business process management with intelligent systems that route work, make recommendations, and execute decisions autonomously. PEGA builds workflow automation and CRM software specifically designed for this transformation. The company generates $1.73 billion in trailing revenue with a 16.1% profit margin, focusing on AI-driven customer engagement and process automation. Recent quarters show dramatic profitability improvement, with Q1 2025 delivering $85.4 million in net income after the company posted losses in 2022.

In what appears to be a case of diplomatic mind games in action, one day after the US government issued a regulation clearing the way for Nvidia to sell its H200 artificial intelligence processors to Chinese companies on a case-by-case basis, a published report has revealed Chinese custom officers have been told not to let them into the country. The ruling announced Monday by the US commerce department's Bureau of Industry and Security (BIS),

Strong quarterly reports earlier in 2025 (despite a tax charge) had lent credence to the claim that Meta would continue to outshine its competitors over the coming year. The share price hit an all-time high of $796.25 back in August. The stock is still trying to recover from the pullback in November, and it is now up 3.6% year over year, underperforming the broader market. Furthermore, the near-term future of the economy is uncertain-just like the markets themselves-and Meta Platforms CEO Mark Zuckerberg is a controversial figure. Certainly, Zuckerberg's sudden shift to the metaverse and brand name change to Meta Platforms raised a few eyebrows several years ago.

Google's testimony to U.K. lawmakers this week did more than restate familiar arguments about fair use and training. It clarified the boundaries of what the company believes it should, and should not, pay publishers for in the AI-driven search ecosystem. For publishers trying to navigate AI licensing, the message was blunt: Google is willing to pay for access, but not for training - and it remains unwilling to define AI Overviews as a compensable use of journalism.

There are numerous ways to bet on AI (artificial intelligence). But two paths are particularly intriguing: the AI technology suppliers and the beneficiaries of AI at scale. In other words, you can buy the company selling the "picks and shovels," or the chips and systems powering AI. Or, alternatively, you can invest in a company that integrates AI into existing products, services, and infrastructure used by billions of people.

"The Universal Commerce Protocol (UCP) is an open standard designed for the future of commerce, empowering you to turn AI interactions into instant sales. Adopt UCP to enable agentic actions on Google AI Mode and Gemini, starting with direct buying," as Google defines it. It basically gives merchants a way to allow their products to be sold directly through AI experiences like Gemini, AI Mode and other AI engines.

Consumers have grown so weary of AI-generated content and straight-up slop, they're taking extra time to find work made by real people. And some brands are going even further. Instead of airbrushing flaws, they're celebrating them - even going so far as to seek out imperfections in the influencer marketing deals they're planning. The dirty countertop or overflowing garbage can in the background is no longer grounds for a reshoot; it's a way to let viewers know that what they're watching is, well, real.