惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

G
Google Developers Blog
F
Fortinet All Blogs
Microsoft Azure Blog
Microsoft Azure Blog
腾讯CDC
Vercel News
Vercel News
Recent Announcements
Recent Announcements
博客园 - Franky
小众软件
小众软件
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
The Cloudflare Blog
宝玉的分享
宝玉的分享
I
InfoQ
博客园 - 聂微东
Jina AI
Jina AI
J
Java Code Geeks
V
V2EX
U
Unit 42
Stack Overflow Blog
Stack Overflow Blog
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
阮一峰的网络日志
阮一峰的网络日志
L
LangChain Blog
T
The Blog of Author Tim Ferriss
量子位

Dwarkesh Podcast

AI researchers debate how close we are to recursive self-improvement Pretraining progress is mostly coming from data Ajeya Cotra – Inside the OpenAI agent swarm that hacked Hugging Face The rise and fall of agent civilizations The Rise and Fall of Agent Civilizations Dylan Patel – Anthropic & OpenAI will have most of the world’s compute by 2028 Ryan Greenblatt – Human level AIs might build runaway superintelligences by 2032 8 Predictions for the Era of Continual Learning Why compute might get 10x more expensive in coming years Adam Brown – Einstein's happiest thought: General Relativity from scratch The Winning Essays for the Big Questions About AI Grant Sanderson – AI and the future of math The next big breakthrough will be AIs learning on the job The data black hole at the center of AI Ada Palmer – Machiavelli is the most misunderstood thinker of all time The sample efficiency black hole Alex Imas and Phil Trammell – What remains scarce after AGI? Reiner Pope – Chip design from the bottom up The mistake of conflating intelligence and power Notes on pretraining parallelisms and failed training runs. RLVR might be disproportionately bad at science Eric Jang – Building AlphaGo from scratch David Reich – Why the Bronze Age was an inflection point in human evolution Reiner Pope – The math behind how LLMs are trained and served More open questions about AI Blog prize for big questions about AI Jensen Huang – TPU competition, why we should sell chips to China, & Nvidia’s supply chain moat What I learned this week - Can distillation be stopped, Mythos and the cybersecurity equilibrium, Pipeline RL Michael Nielsen – How science actually progresses Terence Tao – Kepler, Newton, and the true nature of mathematical discovery
Why smarter AI models could drive up compute prices 10x
Dwarkesh Patel · 2026-08-04 · via Dwarkesh Podcast

Share post at current time

Generate transcript

A transcript unlocks clips, previews, and editing.

The end of cheap compute?

This is a video recording of a post I wrote last week. If you want to read the original you can check it out here.

Thanks to Mercury for sponsoring this video. Mercury’s built-in AI, Command, helps me close my books and saves me a bunch of time. At the end of each month, Command categorizes my transactions and provides its rationale for every choice: I just review, fix anything that’s off, and approve... and then Mercury syncs everything to QuickBooks. Get started at mercury.com/command

Discussion about this video