Cameras used to be considered by painters as shortcuts and traitorous to the art ... They opened up new uses

But the big tech firms that have been responsible for the bulk of recent layoffs are highly profitable. Not sure how much the tax treatment was a contributing factor. (as opposed to making space for AI data center spend, for example)

Putting it behind a paywall is a choice that the author made. I write on medium and my articles are free and can even be read in and incognito window. Try this: medium.com/data-science...

Thanks to all the AI engineers who shared what was working and what wasn't. And to Glen Yu , David Cardozo, Andrew Stein, Sarah Grey for their prompt and helpful reviews.

The patterns' code and brief descriptions are on GitHub:

github.com/lakshmanok/g...

Looking forward to hearing from you! What did you find helpful? Where can we do better? This is early access, so you still have a chance to make it better for future readers.

Looks like an O'Reilly book cover

Cute story. The guy who's stuck tells the story tongue in cheek. Too many haters in the comments.

The graph shows change from the same 30 days a year earlier. So it's YoY

I was not able to replicate this, at least on Gemini or Claude
g.co/gemini/share...

claude.ai/share/00cb35...

Very much what Kahneman called "system 1" and "system 2" in "Thinking Fast and Slow". System 1 is intuitive, system 2 is deliberate, and there are lots of ways that system 1 gets tripped up

Hold on your outrage. They just show the map per the official edicts. Indian and Chinese users do not even see the same border.

There are technical challenges to making self-play work for things other than games. This is legitimately advancing the state of the art

bsky.app/profile/lakl...

They open sourced their entire training regimen. Deepseek trained their model from scratch using the same technique that AlphaGo used ("self-play") and that requires both less compute and less labeled data. They are legit.

DeepSeek is now ranked just below the leading, recently deployed versions of Gemini and ChatGPT on LMArena. So how? Secondly, distillation requires access to so many input-output pairs that OpenAI/Google/Anthropic would immediately recognize and shut then down. (3/3)

They focused on easily verifiable problems. Which also makes sense given that the DeepSeek team is China's version of Jane Street. The people claiming the Chinese copied are thinking that they must have distilled their model from GPT-4 or Gemini but there are two problems with this theory: (2/3)

Additional context is that much of the cost of training foundational models like GPT-4, Claude Opus, and Gemini Pro is for the compute hardware (GPus/TPUs) and human raters/annotators. So DeepSeek managed to cut both these costs by getting pure Reinforcement Learning to work. To do that, (1/3)

They open sourced their entire training regimen. Deepseek trained their model from scratch using the same technique that AlphaGo used ("self-play") and that requires both less compute and less labeled data. They are legit.