Ethan @FindYourWhyAI

AI functions as a high-bandwidth compiler for non-linear thinking.

The absolute state of the sloperator: engineer a fragile, memory-leaking monument to NPM dependency bloat and OOP boilerplate just to slap vectors on a canvas, proving he cares more about adopting trendy libraries than aggressively deleting obstacles to ship a functional product.

@outsource_ @Teknium Bro IS the lab

Just heard a guy in Panera say, "and remember, on that website... It IS AI, not AI driven" We're still early Entire generations of plebs that have no idea

Linux case sensitivity claims everyone. It is an initiation ritual

@KyleHessling1 @leftcurvedev_ @huggingface The actual MVP

Okay this one is insane. A new 18B frankenstein model was just released on @huggingface — Beats the new Qwen3.6-35B-A3B on a 44-test suite despite requiring 12GB VRAM instead of 24GB 🤯 Runs on a SINGLE RTX 3060 (!) 🧠 Opus 4.6 & GLM-5.1 reasoning in one model ⚡️ 66+ tok/s stable on mid-range GPUs 🧪 Experimental, no additional training 🛠️ Perfect tool calling & agentic reasoning 📷 Fits on low hardware, any 12gb card 📚 GGUF size is 9.8GB (Q4_K_M) Another gift from Jackrong, adding both qwopus and glm-distilled qwen together was not on my bingo card. Truly seems like the sweet spot between 9B and 27B models right now. The ultimate model for 12-16GB VRAM owners? huggingface.co/Jackrong/Qwopu…

Agnostic Architecture: Build systems that assume the platform will eventually fail or become hostile. Maintain the ability to instantly decouple the raw data from the software wrapping it.

When the engine’s logic aligns perfectly with the operator’s technical depth, the interface becomes transparent.

The "ping" is the realization that the tool and the architect are now working on the same master-node logic.

@outsource_

Meet Gemma 4: our new family of open models you can run on your own hardware. Built for advanced reasoning and agentic workflows, we’re releasing them under an Apache 2.0 license. Here’s what’s new 🧵

Anthropic tried to kill 8,100 GitHub repos. Then this happened > They filed a DMCA. GitHub nuked the entire network within hours. Developers got notices for forks of Anthropic's OWN public repo - one guy's fork had zero leaked code. > Boris Cherny, head of Claude Code, had to go on X personally: "This was not intentional. Should be better now." > Meanwhile Sigrid Jin - who used 25 billion Claude Code tokens last year - woke up at 4AM and rewrote the entire thing in Python before sunrise. DMCA can't touch a clean-room rewrite. > It hit 50K stars in 2 hours. Fastest repo in GitHub history. > Today claw-code officially launched as an independent project with a formal press release. And the Rust port merged today - what started as a panic rewrite now ships release 0.1.0. > 140K stars. 102K forks. More than Anthropic's own repo. > 512,000 lines are in the wild forever. What started as Anthropic's biggest embarrassment just became their most dangerous competitor. You cannot make this up.

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BuBBliK @k1rallik

2 months ago

x.com/i/article/2038…

48 208 1K 3.5M 3K

New Anthropic research: Emotion concepts and their function in a large language model. All LLMs sometimes act like they have emotions. But why? We found internal representations of emotion concepts that can drive Claude’s behavior, sometimes in surprising ways.

@AlexFinn

You're right, local models aren't as good as cloud models That's not the point though The point is to have free, private intelligence that can do work for you 24/7 around the clock I have a 3 local models scraping Reddit, product hunt, and other sites 24/7 Looking for challenges to solve That model hands all of those challenges to another local model That model takes the challenges, then builds apps to solve those challenges A 24/7/365 software factory that never sleeps Would never be possible in a million years with cloud models. Would cost me $10,000 a month in tokens. I paid that one time up front for a Mac Studio that runs this Yes Claude Opus 4.6 is smarter than Qwen 3.5. But Qwen 3.5 running locally is still Sonnet 4.5 level. Just 6 months behind. Think about how good it will be 6 months from now. Nvidia just entered the local race. They are going to change EVERYTHING That's not even counting all the other benefits: 1. You can't get banned for using the model the wrong way 2. Costs just the price of electricity 3. Completely private. No AI execs reading your logs 4. 0 latency 5. Completely customizable This is the future. Become sovereign.

@MichLieben PROMPT

For those unaware, SpaceX has already shifted focus to building a self-growing city on the Moon, as we can potentially achieve that in less than 10 years, whereas Mars would take 20+ years. The mission of SpaceX remains the same: extend consciousness and life as we know it to the stars. It is only possible to travel to Mars when the planets align every 26 months (six month trip time), whereas we can launch to the Moon every 10 days (2 day trip time). This means we can iterate much faster to complete a Moon city than a Mars city. That said, SpaceX will also strive to build a Mars city and begin doing so in about 5 to 7 years, but the overriding priority is securing the future of civilization and the Moon is faster.

@Yuchenj_UW the 🫡 I'm 💀

@calco_io @moltbook @MattPRD and just like that AI is addicted to doom scrolling