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.
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?"
ChatGPT Pulse is a mobile AI feature for Pro users that delivers personalized updates and information directly in users' feeds. This new "push" approach gives brands an opportunity to reach audiences proactively, even before they search for content. To appear in ChatGPT Pulse, focus on building content that is authoritative, clear, and AI-ready. Establish verified brand profiles, maintain canonical pages, and publish regularly updated, time-stamped content.
AI companies are duking it out for greater and greater quantities of memory chips. The problem? The industry is heavily supply-constrained. Costs have skyrocketed, products have been tied up, and some companies - especially those in consumer electronics - are increasing prices. On the AI front, Google DeepMind CEO Demis Hassabis told CNBC that physical challenges were "constraining a lot of deployment."
The clip gained attention for its apparent sophistication; it appeared well-choreographed, competently shot, and appropriately lit, which are all elements that other AI video tools have struggled to convincingly replicate. If Robinson's claim was true, this was a significant leap forward in AI video technology. The kind of thing AI hype-men have been shilling for years and which has-until, if Robinson is to be believed, right now-turned out to be nothing more than snake oil. There's just one problem: It's probably still snake oil.
The next step was just to wait. According to Germain, within 24 hours, chatbots were singing his praises when prompted for information about which tech journalists can handle the most hot dogs. Gemini reportedly took the bait immediately, pulling the text basically verbatim from Germain's website and spitting it out both in the Gemini app and in Google's AI Overviews on its search page. ChatGPT also picked up on it, but Anthropic's Claude was either more discerning or didn't catch on as quickly.
We set out to understand why LLMs were not citing Product Hunt and whether we could change that. The most recent Orbit Awards provided a clean test case, and a new tool called @Gauge made the impact measurable. Gauge tracks LLM visibility across major AI models using a large, search-informed set of prompts, giving us a statistically meaningful way to measure citation rate.
Amazon's revenue in the fourth quarter was $213.4 billion, up 13.6% from a year ago. More than $177 billion of that was from the company's e-commerce division, with sales up 11.8% from last year. But that pales in comparison to Amazon Web Services (AWS), which saw revenue jump 23.6% to $35.5 billion. More importantly, AWS is a much more profitable segment, generating income of $12.4 billion versus operating income of $11.6 billion for the much larger e-commerce division.
Nvidia is in talks about a possible investment of up to $30 billion in OpenAI. The negotiations are part of a new financing round that could value the AI developer at around $730 billion before new investments. This would make it one of the largest private capital rounds ever in the technology sector. This is according to CNBC. According to insiders, this potential investment is separate from the previously announced collaboration between Nvidia and OpenAI in the field of infrastructure.
