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X @Bloomberg
Bloomberg· 2025-10-01 15:34
Blackstone is enthusiastic on data centers because of an explosion in demand for computing, and it doesn’t see a bubble in the sector, according to Kathleen McCarthy-Baldwin, the alternative asset manager’s global co-head of real estate https://t.co/bHZySBKPZn ...
The U.K.'s Next Industrial Revolution
NVIDIA· 2025-09-18 19:21
Industrial Revolution & Technological Advancement - The UK was the birthplace of the industrial revolution, driven by scarce and costly labor, leading to invention [1] - Steam, electricity, and computing each represent a revolution rewriting human progress [3] - Watt's engine, Darby and Cort's iron forging, and Arkwright's looms significantly enhanced industrial capabilities [2] - Faraday and Maxwell's work on electricity and magnetism connected nations and multiplied human output [2] AI Revolution - The AI revolution is powered by Nvidia, manufacturing tokens of intelligence [3] - AI automates mental work, reshaping every industry and field of science [4] - Nations are expected to build AI infrastructure similar to railways, power grids, and the internet [4] - The age of AI has begun, promising a world that will never be the same [4] Historical Context & Future Implications - The UK, where the industrial revolution began, is positioned to be at the forefront of the AI revolution [4] - The AI revolution is presented as a new kind of factory, automating the work of the mind [3][4]
X @The Economist
The Economist· 2025-09-04 07:20
A big new computer has muscle, but it is far from enough to turn Britain into a computing colossus. Is there a way for the country to stay in the game? https://t.co/I9OBcNfuR2 ...
#Defense tech #CEO on staying competitive in development race #Shorts
Bloomberg Television· 2025-06-21 07:00
Technology Evolution - Technology potential is increasing significantly with the evolution of computing [1] - Products need to evolve rapidly because yesterday's solutions may not be useful today, emphasizing the need for adaptation and speed [2] - Optimizing for speed is crucial, rather than striving for a perfect but static product [2] Challenges of Speed and Scale - Evolving products rapidly becomes challenging when hundreds or thousands are already deployed [3] - Managing training, production at scale, and continuous evolution simultaneously is a key problem [4]