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the relative power of defensive weaponry dictated that a 3:1 (sometimes 4:1) numerical advantage was necessary to force a breakthrough, an advantage which the opponent could easily negate by bringing in reinforcements by rail from unthreatened areas of the front.
the result is the infamous meatgrinder, and what in retrospect appears to be a senseless loss of life. in a local sense, no decision maker could individually avert the continued slaughter.
This is complete bullshit. - No one pays $30k for AI slop videos. - No one buys 1500 videos in batches. I’m so goddamn tired of these founders pulling numbers straight out of their ass on stage like the rest of us are lobotomized.
Product & Devs Growth @Cyfrin | Ex @Alchemy | Created @cyfrinupdraft and @AlchemyLearn | Robotics | Making web3 mainstream
the western front of ww1 1915-1917 may be regarded as a (local) loss of control scenario created by the material and political realities of the war. the modern narrative that mass offensives were a 'waste of life' ignores the military calculus that led to them.
offensive action is necessary in modern war to establish and maintain the strategic initiative. without the strategic initiative, you are only reacting to your opponent, who can then dictate your strategy for you. in other words, to not attack is to lose.
How the hell can someone market their product without being spammy? Every mention of a product is spam. Every answer a question without mentioning a product is useless. So, what is a solution? SEO is dying (thanks, AI). Sometimes, I feel just so desperate. #buildinpublic
Building: Crisp AI plugin https://t.co/FU7rtswKQ9 Ex @microsoft
The opposition to what China is doing is just the doctrine of iustum pretium, at greater scale. Gentiles always want to enable producers to live well, even if as a result the whole society is poor. They have to be bullied by outsiders to evolve. Yesterday, Jews. Today, Chinese.
Underrated point.
RT @GabrielTeston: Heading to @NeurIPSConf in San Diego. I’ve got some DiLoCo stickers to give away! 👾 ❤️ Come check out our poster. 🗓️…
Distributed Learning @ deepmind | DiLoCo, DiPaCo. Continual Learning PhD @ Sorbonne