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Information overload (also known as infobesity, [1] [2] infoxication, [3] or information anxiety [4]) is the difficulty in understanding an issue and effectively making decisions when one has too much information (TMI) about that issue, [5] and is generally associated with the excessive quantity of daily information. [6]
When finished, the facility will be able to handle a large amount of information collected by the NSA over the Internet. The exact amount of storage space is unknown, but more recent sources claim it will be on the order of a few exabytes. [133] [134] [135] This has posed security concerns regarding the anonymity of the data collected. [136]
Accelerating change may not be restricted to the Anthropocene Epoch, [12] but a general and predictable developmental feature of the universe. [13] The physical processes that generate an acceleration such as Moore's law are positive feedback loops giving rise to exponential or superexponential technological change. [14]
If the teams win, the famously anti-union sanctioning body will find itself with the least amount of leverage its ever had over its participants. — Nick Bromberg Boston won the title in 2024.
Aging energy infrastructure can’t handle AI’s huge power needs. Experts are divided on whether an AI-fueled grid will mean more solar panels or more coal plants. AI’s massive appetite for ...
The Great Depression of the 1930s and 40s resulted, in part, due to major devaluation of capital and labor concluding in massive unemployment. The 1980s were also dangerous times for capitalist industrial nations when unemployment rose over 10 percent in 1983 and massive amounts of inventory lay unsold.
The massive amount of advertising and upsells. As soon as you get on a plane back to the US, it's all "sign up for this credit card" and "watch these ads before and after the safety briefing" and ...
If the height of the tower is large, the various representations for large numbers can be applied to the height itself. If the height is given only approximately, giving a value at the top does not make sense, so the double-arrow notation (e.g. 10 ↑ ↑ ( 7.21 × 10 8 ) {\displaystyle 10\uparrow \uparrow (7.21\times 10^{8})} ) can be used.