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It was this fear which led me into the snare of procrastination. But if I make haste now I regain all; if I delay I lose all.
[Hoc verens in hanc tarditatem incidi. Bed adsequar omnia si propero: si cunctor, amitto.]
Marcus Tullius Cicero (106-43 BC) Roman orator, statesman, philosopher
Epistulae ad Atticum [Letters to Atticus], Book 10, Letter 8, sec. 5 (10.8.5) (49 BC) [tr. Jeans (1880), # 71]
Sourcing, notes, alternate translations: wist.info/cicero-marcus-tulliu…
WIST Quotations · Epistulae ad Atticum [Letters to Atticus], Book 10, Letter 8, sec. 5 (10.8.5) (49 BC) [tr. Jeans (1880), # 71] - Cicero, Marcus Tullius | WIST QuotationsIt was this fear which led me into the snare of procrastination. But if I make haste now I regain all; if I delay I lose all. [Hoc verens in hanc tarditatem incidi. Bed adsequar omnia si propero: si cunctor, amitto.] On the concerning prospect of Caesar and Pompey reconciling…
"Is your team too slow and unpredictable even though you are doing the maximum amount of work in parallel, or because you are doing the work asynchronously with extra overhead?"
#softwareengineering #developerexperience #faster #productivity
Industrial Logic - Better Software Sooner · Shouldn't It Be Faster?What does Amdahl's law teach us about parallelism?
"This lets you keep moving forward and solving problems while keeping the boss informed and allowing them to add their two cents if it is important enough. You can also use this approach with a group of people."
www.mooreds.comAsk for no, don’t ask for yes – Dan Moore!
#Evading the #ImmuneSystem : Medium
Our #Universe is #Expanding #Faster than science can explain, sending #Physics into "#Crisis" mode : Earth.com
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SVDQuant+NVFP4: 4× Smaller, 3× Faster FLUX with 16-bit Quality on Blackwell GPUs: https://hanlab.mit.edu/blog/svdquant-nvfp4
#linux #flux #ai #imagegeneration #faster #gpu #blackwell
hanlab.mit.eduSVDQuant Meets NVFP4: 4× Smaller and 3× Faster FLUX with 16-bit Quality on NVIDIA Blackwell GPUsSVDQuant supports NVFP4 on NVIDIA Blackwell GPUs with 3× speedup over BF16 and better image quality than INT4. Try our interactive demo below or at https://svdquant.mit.edu/! Our code is all available at https://github.com/mit-han-lab/nunchaku.