As we are learning DeepSeek is one of the most sophisticated psyops of all time.
Here's how it went down:
1) Release the model open source.
2) Include highly detailed papers for all other people to replicate your work.
3) Create a novel SOTA RL algo that uses less memory
Daniel Jeffries
18.7K posts
Author, futurist, and systems architect. Recursively self improving.
Joined July 2012
- How many more model releases do we need for folks to realize we are not getting to magical superintelligence with what we got? How many times do you have to see a model benchmaxxing to realize Humanity's Last Exam is a freaking idiotic name and that answering questions on it
- This man gave you Reddit, RSS, Markdown, helped stop early attempts to censor the web (that are now winning) and freed academic journals for researchers. And they killed him for it. A crime that has never been answered for and never will be
- Lot of absurd takes like this on the superalignment team leaving OpenAI. The more likely reason they left is not because Ilya and Jan saw some super advanced AI emerging that they couldn't handle but that they didn't and as the cognitive dissonance hit, OpenAI and other
- How not to accelerate. Don't replicate this kind of stupidity in America with an onslaught of absurd AI legislation based on non-existent problems.
- DeepSeek is the best AI company in the world right now. Any team would be lucky to have these engineers. If this was an American company the media would be singing their praises. But because it's China idiots think "they copied everything or they smuggled chips." Their weekBREAKING DeepSeek just let the world know they make $200M/yr at 500%+ profit margin. Revenue (/day): $562k Cost (/day): $87k Revenue (/yr): ~$205M This is all while charging $2.19/M tokens on R1, ~25x less than OpenAI o1. If this was in the US, this would be a >$10B company.
- Here's a rundown of my favorite books of 2024. Links at the end of the thread. I start with my favorite book of the year by far: A Brief History of Intelligence. It's an exquisite masterclass in writing and research. At one point I realized I'd highlighted nearly every page.
- I wanted to see if AI could code me a complex app. Not a crappy little one-off script. A real program. Just one little problem: I mostly suck at coding. So can AI make magic for someone like me? Yeah. But...it's complicated. Here's what I learned along the way. 1/
- If you work in AI and you are against open source you should be barred from using any open source tools. Good luck building your models then. No Pytorch for you. No Linux. No Kubernetes. No distributed training frameworks. Nothing. I never thought we'd be fighting the openThis is written without any wild eyed fear mongering, and I like some of the historical perspectives, but he is clearly a statist. He previously worked in government, expresses concern for the government almost as often as concern for people, and wants to see powers expand in
- If you want to understand why Sam Altman wants to raise 7 trillion then read this book. On it's face, it's an absurd number. But when you understand what's at stake, it's not. The global chip industry is the most advanced, interconnected and globally distributed supply chain
- Replying to @doodlesteinHow dare these bastards do open science the way it used to be done instead of writing "due to the competitive nature of the markets we won't tell you fuckall about how the model was trained and how many parameters it has and we'll be sure to hide away the thinking for
- If open source is "bad for national security" why does Linux run all the nuclear subs in the US, every super computer in the US for national defense and everything else, all the Gov clouds in the major clouds that the government runs on, the military laptops of service personelOpen source is good for VC's and innovation. Open Source SOTA models is really bad for national security
- If you want to understand why the Times case has a near zero probability of winning, then read this thread. This fellow does a nice write up and he seems sincere in his belief that what he is saying about the suit is accurate and correct when in fact it's basically just a lotok, I've now read the full NYT complaint filed this morning vs OpenAI and Microsoft. I'm impressed - it's future-focused around fair value for work vital to democracy. It also contains 220k pages of exhibits although the pages of Ex J stood out to me. more on that in a minute. /1
- This cartoon from 1923 nailed the date for the rise of generative AI.















