Oh one more question to it, here's a fun one: (GPT-4)
Tell me for each: 1920, 1930, 1940, .....and finally 2020, what is the number of FLOPS by their top supercomputer ChatGPT Supercomputers, as we know them today, did not exist prior to the mid-20th century. Here's a brief timeline of significant milestones in high-performance computing: 1920 & 1930: In these decades, computers as we know them today did not exist. Mechanical and electromechanical computing devices were available, such as the differential analyzer. These machines were used for solving differential equations and were not measured in terms of FLOPs as they did not perform floating-point operations in the same sense as modern computers. 1940: By this decade, digital electronic computers were being developed, the most famous of which was probably the ENIAC (Electronic Numerical Integrator and Computer). However, these machines were still relatively simple and slow by today's standards. The ENIAC could perform about 500 operations per second, but these were not floating-point operations. 1950: In this decade, the first computer considered a "supercomputer" was built: the UNIVAC LARC, which could perform roughly 1,000 FLOPS. 1960: By this decade, computers like the CDC 6600, which was considered the fastest in the world at the time, could perform up to 3 million FLOPS (or 3 MFLOPS). 1970: The CDC 7600, a successor to the 6600, could perform 36 MFLOPS. 1980: The Cray-1 was able to perform around 160 MFLOPS. 1990: The Cray C90 could perform up to 2 GFLOPS (or 2 billion FLOPS). 2000: The IBM ASCI White was one of the fastest supercomputers in the world in this year and could perform up to 7.226 TFLOPS (or 7 trillion FLOPS). 2010: The Tianhe-1A in China achieved a speed of 2.57 petaFLOPS (or over 2 quadrillion FLOPS). 2020: As of my knowledge cutoff in September 2021, the fastest supercomputer in the world was Fugaku in Japan, which had achieved a speed of 442 petaFLOPS on the High Performance Linpack (HPL) benchmark in 2020. Please note that all these numbers are approximations and that they represent the theoretical peak performance of these machines. Actual performance on real-world tasks could be significantly lower. ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/Te1610d7fc26c4586-Ma6c41f412f5033aca0531fa0 Delivery options: https://agi.topicbox.com/groups/agi/subscription
