How easy is it to imagine a familiar dystopian world in which "AI" takes over the world via conventional means? Science fiction is replete with examples, from the full frontal assault of Terminator to the more nefarious single omnipotent entity using persuasion and an octopus-like ability to control technology-getting rid of enemies by hacking self-driving cars or medical care. What's really in your prescription bottle?
At Meituan, China's platform for local services, especially known for food delivery, I worked on two AI projects. One was a consumer-facing AI assistant that helps users complete various tasks, including ordering food. The other was a merchant-facing AI agent designed to help businesses manage their daily operations, including handling reservations, managing orders, and supporting routine operational tasks. The main difference between how products are built in China and in the US comes down to the market.
It's no secret that businesses are increasingly concerned about artificial intelligence (AI) privacy and escalating subscription costs. Many entrepreneurs find themselves locked into expensive monthly AI services while worrying about where their sensitive business data ends up. Pansophy is an AI desktop assistant that offers a different approach entirely, and a lifetime subscription is available now for only $59.97 (reg. $199).
Along the way, I've done what I think a lot of AI power users eventually wind up doing: I've gone into the personalization and settings and told the chatbot to be neutral, direct, and just-the-facts. I don't want a chatbot that tells me "That is a brilliant idea!" every time I explore a tweak to my business strategy. They're not all brilliant, I assure you. And I don't want a lecture about how if I truly have shoulder issues I should see a "real" physical therapist. I'm an adult. I'm not outsourcing my judgment to a robot.
After years of computer saying no, and giving us all migraines and premature grey hair, I'm starting to worry that computer or rather AI large language models like ChatGPT and Gemini are taking too much of a fancy to playing nice and saying yes. I confess to using both of these programs, but I've noticed that, well, it's as if they're trying to please, with statements like You're absolutely right, Jeff, and That's pretty much right.
What is the point of AI alarmism if the people warning the world aren't changing course? A series of warnings from artificial intelligence (AI) industry insiders shows how the debate around AI drives extreme news cycles, swinging between hype and alarm. The result is media coverage that overlooks the intricacies of this technology and its impact on everyday life. We examine the real risks, what's being overstated, and what major tech companies stand to gain from all the fearmongering.
If that feels familiar, that's because we have been here before. In November 2022 ChatGPT made investors question even whether companies like Google had a future. In January 2025, China's DeepSeek challenged the entire American approach to AI, which relied on costly cutting-edge hardware. The stocks of AI-powerhouses like NVIDIA took a beating. To say that both Google and NVIDIA have been doing fine since then would be an understatement.
When I took my side hustle full-time, I needed a website and accidentally fell into the world of building with AI. After trying an old website builder and failing, I hired a designer and an engineer part-time to do it. They were a bit slow, so while I was waiting, I tried using a suggested AI tool to build my website.
EC-Council, creator of the world-renowned Certified Ethical Hacker (CEH) credential and a global leader in applied cybersecurity education, today launched its Enterprise AI Credential Suite, with four new role-based AI certifications debuting alongside Certified CISO v4, an overhauled executive cyber leadership program. The dual launch is the largest single expansion of EC-Council's portfolio in its 25-year history. It addresses a structural gap that no single tool, platform, or policy can solve alone: AI is scaling faster than the workforce trained to run, secure, and govern it.
We are living through one of the most disorienting periods in recorded history. The AI race is accelerating toward ever faster, ever more sophisticated automation and optimization. Agentic AI systems are moving from research labs into workplaces, healthcare, and governance. Geopolitical tensions are restructuring alliances faster than institutions can adapt. And planetary systems are signaling, with increasing urgency, that our current trajectory is unsustainable. Amid all this, it is dangerously easy to lose sight of a foundational question: What are we actually optimizing for?
Indus serves as a chat interface for its newly announced Sarvam 105B model, the company's 105-billion-parameter large language model. The app's launch comes two days after Bengaluru-based Sarvam unveiled its 105B and 30B models at the India AI Impact Summit in New Delhi earlier this week. At the summit, the startup also outlined enterprise initiatives and hardware plans and announced partnerships with companies including HMD to bring AI to Nokia feature phones and Bosch for AI-enabled automotive applications.
The 18-year-old Jesse Van Rootselaar ultimately killed eight people including herself and injured 25 more in British Columbia earlier this month, in a tragedy that shook Canada and the world. What we didn't know until today is that employees at OpenAI had already been aware of Van Rootselaar for months, and had debated alerting authorities because of the alarming nature of her conversations with ChatGPT.
Alphabet has capitalized on the AI boom by enhancing its search engine results and online ad placements, but that's far from the only way Google's parent company used this technology to surpass Apple's profits. While search and online ads are still important, Google Cloud has emerged as a substantial catalyst. Google Cloud acts as the digital foundation for many businesses, especially enterprises that want to scale their AI capabilities.
Nvidia rival Cerebras Systems' dinner plate-sized accelerators will power a new supercomputing cluster in India capable of 8 exaFLOPS of AI compute. The installation, announced in New Delhi during the AI Impact Summit this week, is part of a collaboration between the United Arab Emirates' Mohamed Bin Zayed University of AI (MBZUAI) and India's Center for Development of Advanced Computing (C-DAC).
Major RAM makers Samsung, SK Hynix, and Micron have shifted their production to focus on High-Bandwidth Memory (HBM) needed for AI. This has led to shortages of standard DRAM and NAND chips used in smartphones, laptops, and medical devices. Driving hardware prices up. Due to the memory shortage, building non-AI electronics is becoming expensive. By early 2026, prices for standard computer memory and storage drives (SSDs) had surged
AI agents need skills - specific procedural knowledge - to perform tasks well, but they can't teach themselves, a new research suggests. The authors of the research have developed a new benchmark, SkillsBench, which evaluates agentic AI performance on 84 tasks across 11 domains including healthcare, manufacturing, cybersecurity and software engineering. The researchers looked at each task under three conditions:
During the AI Impact Summit in India, the UK government announced that £27m is now available for AI alignment research, backing some 60 projects. The project combines grant funding for research, access to compute infrastructure and ongoing academic mentorship from AISI's own leading scientists in the field to drive progress in alignment research. Without continued progress in this area, increasingly powerful AI models could act in ways that are difficult to anticipate or control, which could pose challenges for global safety and governance.
Managing AI spending has become commonplace. Two years ago, 31 percent of organizations managed AI spending; today, 98 percent do. This is according to research by the FinOps Foundation. It shows that FinOps has definitively shifted from pure cloud management to broad technology value management. AI cost management is now a top priority, while AI value management is the most sought-after skill within teams.
Last year, a talented programmer friend of mine decided to give vibe coding a try. Vibe coding is the practice of describing to an AI chatbot what kind of program you want, and letting the AI write it for you. In a matter of minutes you can have new software in front of you, and just start using it. At least, in theory. This is what LLMs (Large Language Models) are supposed to be best at - generating usable software for professional developers
Jio launched its mobile network in 2016 and within half a year won 100 million subscribers by offering plans that included unlimited data at prices that significantly undercut competitors. It later introduced its own handsets, some that cost around $12, which helped it to become India's number one telco three years after launch. It later cemented its position with a $27 smartphone created with help from Google, a rapid 5G rollout, and cheap subscriptions that bundle streamed content with carriage.
However, even if India is not developing frontier AI models, the summit showed New Delhi wants its voice heard about the impacts of AI on developing countries and on whose terms AI is built and deployed. AI is a transformative power. If directionless, it becomes a disruption; if the right direction is found, it becomes a solution, he said, adding the summit was focused on "how to make AI from machine-centric to human-centric; how to make it sensitive and responsive?"
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