







I am noticing one thing becoming more prominent over time; meat-based LLM proxies.
Meat-based LLM proxies
!! This blog post has since moved to https://not-an-llm.com/meat-based-llm-proxies. The Bearblog version is not maintained. I am noticing one thing becomi...

What is a 'meat proxy'? The new term for coworkers who blindly share AI output
"Meat proxy" refers to someone who sends outputs straight from Claude or ChatGPT without analyzing them. It's caught on with techies on X.
Meat proxy
A person who forwards AI-generated text, code, or other output without reading, understanding, or validating it. The person acts only as a relay between the AI system and the intended recipient.
How "Meat Proxy" Is The Latest Hilarious AI-Related Pejorative
Meat Proxy is the latest AI-spawned term, referring to someone who blindly pastes AI outputs withing looking at them.

âMeat Proxyâ Is the New Term for People Who Just Forward AI Responses. Are You One?
"AI slop" now has a friend. "Meat proxy" is a new way to describe too much reliance on AI content.

'Meat Proxy' Names Those Who Pass On AI Output Unchecked
"Meat proxy" describes people who relay AI-generated text, code or analysis to others without verifying it, a term coined by engineer Niklas Gruhn.

If you don't run your own LLM proxy, how the fuck do you even know whats going on?
I think the title captures the idea fully but I'll dig into it because this ain't Twitter. You're working an idea, a piece of code, or a multibillion a year SaaS app which is probably saving the world. Maybe you're automating the cloning process of grabbing
Your Coworkers Are Becoming âMeat Proxiesâ for AI
A developer coined the term "meat proxy" to denote a person who blindly forwards AI-generated text or code without any form of review.

Meat proxy: why developers are fed up with AI replies
Developers use meat proxy to call out colleagues who forward unchecked chatbot text, saying it creates noise. Read what the term reveals


DevLARLEY/WidevineProxy2
An extension-based proxy for Widevine EME challenges and license messages. Modifies the challenge before it reaches the web player. Bypasses Hashes, one-time-tokens and license wrapping.
Dan Shipper đ§ on Twitter / X
this is true and is a big reason why you donât need to be a highly technical researcher to use LLMs in surprising and novel ways https://t.co/TuxNzXzToUâ Dan Shipper đ§ (@danshipper) July 27, 2025
Donât be a meat proxy
Niklas Gruhn coins an excellent new term - meat proxy - for people who blindly copy and paste the output of AI systems to their peers. By all means, prompt âŚ
What Google Translate Can Tell Us About Vibecoding | off the grid
There has been rather a lot of doomsaying (and perhaps astroturfing) lately about LLMs as the end of computer programming. Much of the discussion has been lacking nuance, so Iâd like to add mine. I see claims from one side that âI used $LLM_SERVICE_PROVIDER to make a small throwaway tool, so all programmers will be unemployed in $ARBITRARY_TIME_WINDOWâ, and from the other side flat-out rejections of the idea that this type of tool can have any utility.1 I think it best sheds light on these claims to examine them in the context of another field thatâs been ahead of the curve on this: translation.
when proxying requests to feedgens the client will add an x-bsky-topics header to the request with the users selected topics of interest and it expects the PDS to forward that header on to the feedgen this also plays into a larger issue of what exactly service proxying entails being very ambiguous

Porxie - a correct, fast ATProto blob proxy - Blooym
IP Intelligence, Bot Detection, Fraud Detection | IPQS