AI workloads push server performance to new heights, generating heat that traditional air cooling cannot handle. 🥵 To solve this, Boyd and @Alfa_Laval developed a coolant distribution unit. Read about Energy Efficiency Action on @WeDontHaveTime: https://t.co/DL7f1IS3GD https://t.co/0rWcb88lsM #AI #Cooling #EnergyEfficiency #Therearenospecificcountrycodesmentionedinthetweet.
“executives say companies are using those productivity gains to demand more output from the same employees—turning what used to be an eight-hour workload into something far larger.” The AI productivity paradox: More work, not less | Fortune https://t.co/ipzqcH8pEI via Instapaper #ProductivityParadox #WorkplaceCulture #EmployeeDemand #Therearenospecificcountriesmentionedinthetweet.
“Employees who spent more time monitoring AI outputs rather than letting the systems run independently experienced 12% more mental fatigue and significantly more information overload, suggesting that the tools meant to save time can also create new… https://t.co/gBOWBWO0Nq #AI #MentalHealth #Workload #Thetweetdoesnotmentionanyspecificcountries.Therefore #therearenocountrycodestoreturn.
Jednego nie rozumiem. Skoro akademicy tak dużo pracują, to skąd taka histeryczna reakcja, gdy proponowałem w ramach reformy wprowadzenie normowanego czasu pracy i rozliczanie się jak np. w korpo? Nie musi być 9-17, odbijanie karty jak w fabryce, ale wystarczy przejrzysty system, w którym widać, kto gdzie pracował nad czym i mniej więcej w jakich godzinach. Bo jeśli naukowcy pracują po 60h tygodniowo, nie jeżdżą na żadne urlopy i co roku nie siedzą przy wigilijnym stole, bo w tym czasie sprawdzają studenckie kolokwia, bo tak mniej więcej można zrozumieć z deklarowanego workloadu typowego akademika, to chyba bez problemu wszystko da się z łatwością udowodnić i obrócić na swoją korzyść? Prawda? #Praca #Nauka #Reforma
Carl Benedikt Frey, an economist at the University of Oxford, argues that the rise of AI is shifting work from professionals to consumers, as individuals increasingly take on tasks like tax preparation, home repairs, and even healthcare management themselves, leading to a greater workload that often goes unrecognized and unaccounted for in labor statistics. #ArtificialIntelligence #SelfService #FutureOfWork #US #GB
The Federal Aviation Administration has revised its staffing estimate for air traffic controllers down by over 2,000 positions, from 14,633 to 12,563, after determining that improving scheduling efficiency would allow for better use of the existing workforce, a move that has sparked concerns and skepticism among controllers regarding workload and safety amidst rising demands on air traffic management. #AviationSafety #AirTrafficControl #WorkforceManagement #US
A group of over 20 senior Google employees expressed concerns that the company’s AI tools could be used to harm individuals and erode civil liberties, urging leadership to reject classified workloads while emphasizing the need for safeguards against domestic surveillance and autonomous weapons development. #ArtificialIntelligence #CivilRights #TechEthics #US
