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Chris
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Freedom BTC AI 🌱
Replying to Avatar Guy Swann

So what’s all the hoopla about DeepSeek and why is it breaking everybody’s brain right now in Ai?

I’ve been doing a dive for a couple of days and these are the main deets I’ve pulled together, will have a Guy’s Take on it soon, so stay tuned to the nostr:npub1hw4zdmnygyvyypgztfxn8aqqmenxtwdf3tuwrd44stjjeckpc37q6zlg0q feed

DeepSeek ELI5:

• US has been hailed as the leader in Ai, while pushing fears that we need to be closed and not share with China cuz evil CCP and they can’t figure it out without us

• ChatGPT and “Open”Ai is poster child, eating up retarded amounts of capital for training and inference (using) LLMs. Estimates say around $100 million or more for ChatGPT o1 model.

• In just a couple of weeks China drops numerous open source models with incredible results, Hunyuan for video, Minimax, and now DeepSeek. All open source, all insanely competitive with the premiere closed source in the US.

• DeepSeek actually surpassed ChatGPT o1 on most benchmarks, particularly math, logic, and coding.

• DeepSeek is also totally open with how its thought process works, it explains and shows its work as it runs, while ChatGPT makes that proprietary. This makes building with, troubleshooting, and understanding with DeepSeek much better.

• DeepSeek is also multimodal, so you can give it PDFs, images, connect it to the internet, etc. it’s a literal full personal assistant with just a few tools to plug into it.

• The API costs 95% LESS than ChatGPT API per call. They claim that is a profitable price as well, while OpenAi is bleeding money.

• They state that DeepSeek cost only $5.6 million to train and operate.

• Capital controls on GPUs and chips went into effect in the past year or two trying to prevent China from “catching up,” and it seems to have failed miserably. As it seems China was able to do 20x the results per dollar with inferior hardware.

• The US model of Ai, its costs, its capes structure, and the massive demand for chips has been the model for assessing the valuation, pricing, and future demand of the entire Ai industry. DeepSeek just took a giant dump on all of it by out performing and spending a tiny fraction to achieve it while also dealing with lack of access to the newest chips.

All of this together is why people are freaking out about a plummet to Nvidia price, reevaluation of OpenAi, and the failure of US to stay dominant or even the legitimacy of staying proprietary as it may just cause us to fall behind rather than lead. All after a $700 billion investment was just announced that now just kinda looks like incompetent corporations wasting horrendous amounts of money for something they won’t even share with people, that you can’t run locally, and is surpassed by a few lean Chinese startups with barely a few million.

DeepSeek is a refutation of the “Scaling Laws” nonsense that has plagued the AI world for the past couple of years. Instead of trying innovative new ways to improve model performance big tech has been content to throw more compute and more data at these models in order to improve performance. They were bound to run into diminishing returns at some point

So the #FreeRoss campaign was successful. When are we going to push Trump to #FreeSnowden?

This why I love the internet

nostr:note1r8y79kz0j8vnf59crfjqs04pte9643vk85cvs7d97e5p3lgduyxqalq83w

He’s on the clock #FreeRoss

Awesome! I did a 3 day late last year and felt like shit on the 3rd day. This makes me want to try a 5 day and see if I can push past the shitty part.

Why tf do I need a touchscreen on my fridge anyways. Just one step closer to SkyNet

Barrios - Ramos fight was legit

Let’s see if this dude will back up all the talk #FreeRoss

Holy shit! It’s a square toilet!

Replying to Avatar Alex Gleason

Pepsi sucks, I’m voting democrat

Dude missed multiple shots at 300 ft…whoever “they” are they can’t shoot for shit

Turd Sandwich vs. Giant Douche

Blink-182 still hits 25 years later