What big companies really have in their hands are three things: what content can be put online, how much traffic it can get after it goes online, and what proportion it will be settled at.
People cannot, or at least should not, regard rigorous natural science as the scene of an AI skills competition # Welcome to follow Aifaner’s official WeChat public account: Aifaner (WeChat ID: ifanr), more exciting content will be provided to you as soon as possible.
This article examines GitHub Copilot user and paid subscription data, and AI skit computing power costs to clarify two key figures that are easily confused in the industry, compares the differences between flow-based and productivity-based AI, dismantles the business logic behind the flow of tokens, peels off false narratives circulated in the industry, and restores the true payment and cost profile of the current AI industry.
The transition to electric vehicles should be moving apace, but it is not. And why? Incompetence, expedience and cowardice This is how it works. An industry puts tremendous effort into resisting change: lobbying governments, mobilising the media, pouring money into junktanks. It argues that a transition would threaten jobs, or damage the national interest, or harm poor people, while what it really fears is the cost of retooling its plants or developing new protocols. Then, when the inevitable cliff edge approaches, it whines that change is coming too soon. For reasons beyond its control, it is
Homes in the West End, Mayfair and Marylebone are going unsold – and developers are counting the cost London has no shortage of luxury flats. There are ultra-modern blocks in the most upmarket neighbourhoods – including Chelsea, Kensington and Mayfair – that offer marble lobbies, concierge services and views across the city’s skyline. The problem for property developers is finding wealthy residents to fill them, leaving brand-new properties in London’s most desirable postcodes standing empty. Continue reading...