Author: precious

I’m Precious Amusat, Phronews’ Content Writer. I conduct in-depth research and write on the latest developments in the tech industry, including trends in big tech, startups, cybersecurity, artificial intelligence and their global impacts. When I’m off the clock, you’ll find me cheering on women’s footy, curled up with a romance novel, or binge-watching crime thrillers.

Two of China’s biggest tech companies just put 10,000 AI chips to work in the same week, and the implications of this deployment goes beyond the country’s borders. Alibaba announced the deployment of a 10,000-card intelligent computing cluster powered by its Zhenwu AI chips and built in collaboration with China Telecom at the Shaoguan data centre in Guangdong province. The launch came shortly after Shenzhen, a city dubbed as “China’s Silicon Valley,” activated the country’s first 10,000-card cluster built entirely on Huawei’s Ascend 910C chips, which provides 11,000 petaflops of computing capacity. Together, these two deployments represent a concrete step…

Read More

When OpenAI stepped back from expanding its AI data center footprint in Abilene, Texas, Microsoft stepped right in. The tech giant’s move in Abilene, Texas is more than a lease or a buildout as it adds two new AI data center buildings and a 900-megawatt power plant to a site already central to OpenAI and Oracle’s Stargate project, bringing the campus to 10 buildings and about 2.1 gigawatts of planned capacity. The deal shows how quickly the AI arms race is turning into a contest over land, power, and compute, and not just over software and model quality. The Abilene…

Read More

The contest to lead in the artificial intelligence (AI) arms race has moved well beyond who has the best model. What separates the front-runners today is their ability to control the physical infrastructure from advanced chips to reliable electricity and power and to high-speed data networks. These three have become the pillars holding up AI infrastructure and the investments reflect just how seriously tech giants are using the pillars to lay a secure foundation for their AI ambitions. The Numbers Behind the Three Pillars Amazon has projected a rough $200 billion for its spending on AI development for 2026 alone,…

Read More

Iran’s Islamic Revolutionary Guard Corps (IRGC) has placed 18 major U.S. technology companies on a formal list of targets, framing them as their next targets to attack amid the ongoing conflict between Iran and the United States and Israel. Iran’s semi-official Tasnim News Agency, which is linked to the IRGC, published a list of major U.S. tech companies as potential targets, warning that as the conflict expands across infrastructure, cyberwarfare, and regional dimensions, Iran’s legitimate targets are also gradually expanding. The list names 17 American companies, including Cisco, HP, Intel, Oracle, Microsoft, Apple, Google, Meta, IBM, Dell, Palantir, Nvidia, J.P.…

Read More

Mistral AI is taking on a large debt package to secure chips and build artificial intelligence (AI) infrastructure, rather than selling more of the company’s equity, a decision that says as much about today’s AI funding playbook as it does about the fast‑rising European startup. The move also highlights how capital‑intensive building AI compute and infrastructure has become and how credit markets are quickly becoming a primary way to pay for that compute. What Mistral AI Is Doing With The Money   French startup Mistral AI has secured about $830 million in its first major debt financing, backed by a consortium…

Read More

The longest service disruption from DeepSeek to date has raised fresh questions about whether the fast‑rising Chinese AI company is ready for the demands of a truly global user base. The seven‑plus‑hour outage hit both regular users and developers, cutting access to one of China’s most visible competition to OpenAI’s ChatGPT, especially at a time when expectations around reliability in AI tools are increasing. What Happened To DeepSeek On March 30, DeepSeek’s flagship chatbot went offline for 7 hours and 13 minutes, in what the company itself labeled a “major outage” on its public status page. The disruption had begun…

Read More

Big Tech including Amazon, Microsoft, Alphabet, and Meta have collectively committed around $635 billion in capital expenditure for 2026, with the bulk of that going toward AI data centers. The scale of this investment is historically unprecedented. But as billions pour into chips, servers, and infrastructure, a more pressing question is surfacing – where is the power to run all of it actually going to come from? S&P Global estimates that the leading U.S. tech platforms had mapped out around $635 billion of combined spending on data centers, chips and other AI infrastructure for 2026, up from $383 billion in…

Read More

Nvidia-backed Starcloud is betting that the future of AI will be powered by something above and better than power grids. As data centers on Earth run into increasing electricity demand, grid problems, and local protests, the Redmond, Washington-based startup wants to build orbital data centers that run on uninterrupted solar power in space. Starcloud Space Data Center Ambition Starcloud wants to move a meaningful slice of AI computing off the planet by turning satellites into high‑performance data centers. The company recently filed with the U.S. Federal Communications Commission (FCC) for permission to launch a constellation of up to 88,000 satellites…

Read More

Debugging has always been one of the tasks that AI coding agents can not properly handle. They only read code, make educated guesses, and generate fixes without ever running the program.  But Cursor’s 2.2 Debug Mode takes a different approach entirely as it instruments code with runtime logs, collects live data during bug reproduction, and brings the developer back into the loop before committing to any fix. The result of this process is that bugs which were previously out of reach for even the most capable models can now be resolved through a structured and evidence-based process. How Debug Mode…

Read More

Tinder is rolling out Photo Insights, a new artificial intelligence (AI) tool that is capable of scanning your photo library to build a personality profile with the aim to make matches feel more authentic and reduce swipe fatigue on the app. Tinder’s Photo Insights will rely on on-device analysis and optional access to your camera roll as it turns what it sees in your photos into clues about how you live, what you enjoy, and how you might be a match to other potential users. What Tinder’s Photo Insights Actually Does Photo Insights is a tool that analyzes images from…

Read More