Cloud computing

Technologist Simon Willison argues that software, particularly AI-driven systems and agents that can spend money or resources autonomously, should ship with default hard budget caps. The argument is that without automatic limits, a bug or runaway process can rack up enormous cloud, API, or compute costs before anyone notices. The piece has struck a chord with developers who have seen unexpected bills from automated systems.

A 19-year-old founder has launched Ghost, a startup selling the Core, a $3,499 desktop computer built to run AI models locally rather than in the cloud. The device is pitched at users who want private, offline AI processing at home. Early reactions online are focusing on the founder's young age and whether the premium price can compete with mainstream AI hardware.

Technologist Simon Willison argues that default hard budget caps should be switched on across services and spending systems, rather than left as an optional setting. Writing on his blog, he suggests people will increasingly need built-in limits on 'pretty much everything' to avoid runaway costs. The post has begun circulating among developers and technology commentators debating how such defaults should work.

The idea of placing data centers in orbit is drawing attention as a way to meet growing demand for computing power. Supporters point to unlimited solar energy and free cooling in space, while skeptics question launch costs, maintenance and radiation risks. The debate fits into wider discussion about the energy footprint of AI and how future cloud infrastructure might be built beyond Earth.

Imbue has published an essay arguing for a second era of personal computing, in which AI-powered agents let individuals run powerful, personalized software on their own machines rather than relying on centralized cloud services. The piece frames current computing as overly dependent on big platforms and calls for tools that give users more control and autonomy over their digital lives.

AI cloud startup Verda has raised $189 million in a Series B funding round, according to reports from industry outlets. The funding will support the company's AI-focused cloud infrastructure business as demand for compute capacity keeps growing. Details on the investors and valuation were not disclosed in initial coverage.

Analysts are asking who will bear the financial losses as AI chips depreciate. The rapid pace of semiconductor development means today's graphics processors can lose value quickly, raising questions about depreciation costs for cloud providers, data centre operators and investors who have poured billions into AI computing hardware.

A developer has laid out the case that a birth chart is a purely deterministic calculation: the same birth time and place always produce the same result, with no data or randomness involved. That makes the job ideal for local computation, and the argument is that a smartphone is a better astrology computer than a remote server, removing latency, cost and privacy concerns.

A 19-year-old founder has raised $11 million for Ghost, a startup building a $3,499 desktop computer designed to run a personal AI locally. TechCrunch reported the funding round, which will support development of the hardware aimed at users who want private AI without cloud dependence. The young founder's age and the high price point are drawing attention.

Barron's takes a close look at the fast-growing industry protecting data centers, the facilities powering cloud computing and the AI boom. As companies pour billions into new sites, demand has surged for fire suppression, security, power protection and insurance services. The report highlights how vendors in this niche are turning the AI infrastructure spending spree into a lucrative business opportunity.

A startup is planning to build a huge data center in Utah powered by nuclear energy, according to RealClearEnergy. The project reflects a broader trend of tech companies turning to nuclear power to meet the enormous electricity demands of AI and cloud computing, with Utah emerging as a candidate location for large-scale energy-intensive infrastructure.

Amazon is reportedly considering selling some of its Nvidia chips and renting them back, a financing move aimed at freeing up capital spent on AI infrastructure. The idea mirrors sale-leaseback deals common in real estate: Amazon would convert expensive GPU hardware into cash while still using the chips for its cloud customers. The strategy highlights how costly the AI computing buildout has become for major cloud providers.

Gizmodo reports a hands-on look at what is described as the first 'wireless GPU', a device said to use Wi-Fi instead of local hardware or paid cloud subscriptions to handle AI computing tasks. Coverage frames it as a potential challenge to subscription-based AI services, though detailed performance claims remain limited to the outlet's initial impressions.

Satya Nadella transformed Microsoft once before, shifting the company to the cloud and making it one of the world's most valuable firms. The question now being asked is whether he can repeat that feat as artificial intelligence reshapes the technology industry. Commentators are weighing whether Microsoft's aggressive AI investments, including its partnership with OpenAI, can secure its position in the next era of computing.

Amazon Web Services describes how to build an environmental intelligence platform using open data sources hosted on its cloud infrastructure. The piece outlines how researchers and organisations can combine publicly available environmental datasets with AWS tools to monitor conditions such as climate, land use, and ecosystems, positioning cloud computing and open data as a foundation for environmental decision-making.

Commentary is emerging that the cloud-only era of technology may be ending, with a shift expected toward hybrid models that combine local and cloud computing. The discussion suggests companies are rethinking their reliance on purely cloud-based infrastructure, though no specific company, product or policy change is named in the reporting so far.

Fastly, Inc. (FSLY), the US cloud computing and content delivery network company, is seeing renewed attention on its stock price, quote and trading history as investors track the company's latest performance and news. Traders and market watchers are following the stock's movements and looking for signals on where the share price may head next.