Submissions from dwarkesh.com

		Dylan Patel – Anthropic and OpenAI will have most of world’s compute by 2028 (dwarkesh.com)
		3 points by crescit_eundo 14 hours ago \| past \| discuss
		Why compute might get 10x+ more expensive in coming years (dwarkesh.com)
		2 points by rzk 9 days ago \| past \| discuss
		Predictions for the Era of Continual Learning (dwarkesh.com)
		2 points by ronfriedhaber 11 days ago \| past \| discuss
		Predictions for the Era of Continual Learning (dwarkesh.com)
		3 points by in-silico 14 days ago \| past
		Human level AIs might build runaway superintelligences by 2032 (dwarkesh.com)
		3 points by crescit_eundo 14 days ago \| past
		Predictions for the Era of Continual Learning (dwarkesh.com)
		3 points by gmays 18 days ago \| past
		Why smarter AI models could drive up compute prices 10x (dwarkesh.com)
		2 points by mefengl 20 days ago \| past \| 2 comments
		Why compute might get 10x+ more expensive in coming years (dwarkesh.com)
		3 points by nlpnerd 26 days ago \| past
		Why compute might get 10x+ more expensive in coming years (dwarkesh.com)
		4 points by cubefox 27 days ago \| past
		The Winning Essays for the Big Questions About AI (dwarkesh.com)
		1 point by herbertl 46 days ago \| past
		The Winning Essays for the Big Questions About AI (dwarkesh.com)
		2 points by gmays 48 days ago \| past
		Grant Sanderson – AI and the future of math (dwarkesh.com)
		1 point by crescit_eundo 56 days ago \| past
		The next big breakthrough will be AIs learning on the job (dwarkesh.com)
		3 points by gmays 56 days ago \| past \| 2 comments
		The data black hole at the center of AI (dwarkesh.com)
		4 points by jedixit 67 days ago \| past
		What remains scarce after AGI? (dwarkesh.com)
		2 points by gmays 76 days ago \| past
		The sample efficiency black hole (dwarkesh.com)
		9 points by crescit_eundo 78 days ago \| past \| 1 comment
		Alex Imas and Phil Trammell – What Remains Scarce After AGI? (dwarkesh.com)
		1 point by crescit_eundo 82 days ago \| past
		Reiner Pope – Chip design from the bottom up (dwarkesh.com)
		2 points by crescit_eundo 3 months ago \| past
		The mistake of conflating intelligence and power (dwarkesh.com)
		3 points by gmays 3 months ago \| past \| 4 comments
		Notes on pretraining parallelisms and failed training runs (dwarkesh.com)
		3 points by gmays 3 months ago \| past
		The mistake of conflating intelligence and power (dwarkesh.com)
		3 points by crescit_eundo 3 months ago \| past \| 1 comment
		Eric Jang – Building AlphaGo from Scratch (dwarkesh.com)
		3 points by crescit_eundo 3 months ago \| past
		The math behind how LLMs are trained and served (dwarkesh.com)
		1 point by stopachka 3 months ago \| past
		The math behind how LLMs are trained and served (dwarkesh.com)
		6 points by gmays 3 months ago \| past
		Blog prize for big questions about AI (dwarkesh.com)
		3 points by gmays 4 months ago \| past
		Dwarkesh Patel / Jensen Huang – TPU competition, why we should sell chips to Chi (dwarkesh.com)
		5 points by Poleris 4 months ago \| past
		Michael Nielsen – How science progresses (dwarkesh.com)
		2 points by kerim-ca 4 months ago \| past
		Terence Tao – Kepler, Newton, and the true nature of mathematical discovery (dwarkesh.com)
		25 points by paulpauper 5 months ago \| past \| 1 comment
		Terence Tao – Kepler, Newton, and the true nature of mathematical discovery (dwarkesh.com)
		3 points by throwerofways67 5 months ago \| past
		Dylan Patel – Deep dive on the 3 big bottlenecks to scaling AI compute (dwarkesh.com)
		3 points by kerim-ca 5 months ago \| past
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