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For OpenClaw, just use Qwen3.5 27B! Q4 GGUFs match the original's model accuracy You don't need expensive hardware or models

I just ran Qwen3.5 35B on my iPhone at 5.6 tok/sec. Fully on-device. 4bit | 256 experts. Model: 19.5GB. iPhone: 12GB RAM. wild.

Got a 24GB Graphics Card? These 6 coding models all fit on it (Q4): - qwen3.5:27b (17GB) - qwen3.5:35b (24GB) - glm-4.7-flash (19GB) - nemotron-3-nano:30b (24GB) - nemotron-cascade-2:30b (24GB) - gpt-oss:20b (14GB) I gave them the same challenge: draw a campfire with HTML Canvas. Why Canvas? HTML/CSS forgives bad syntax — things still render. JavaScript + Canvas doesn't — one mistake and the screen goes black.

Yearly repost and reminder that an unspecified government agency proactively takes this video down from Youtube all the time

Always so funny stumbling across random Palmer Luckey side quests on the depths of the internet

let me explain the ramifications of this… → 150,000 people just got locked out of their own cars… across 46 states… for 6 days straight and counting → not a software bug. not a glitch. not AI permissions gone wrong. → hackers flooded Intoxalock’s servers and all these vehicles just stopped starting… → these are court ordered breathalyzer devices… people who messed up in the past but have been doing everything right since (hopefully)… and now they can’t drive to work because someone else’s security system failed wild connect the dots… your electric car talks to a server to start. one breach and it’s a 50,000 dollar paperweight your insulin pump syncs to a server. your pacemaker data lives on a server. one breach and it’s not a car that stops working… it’s a body your smart home lock runs through a server. one breach and your front door either won’t open or won’t close now zoom out… Gartner projects $2.5 trillion going into AI this year… only $240 billion into securing the systems it runs on. that’s a 10 to 1 bet that nothing goes wrong the four biggest tech companies (Alphabet, Microsoft, Meta, and Amazon) are rumored to spend $700 billion on AI infrastructure this year alone… while cybercrime is projected to cost the world $10.5 trillion now imagine this happens to Tesla. to a hospital network. to the power grid… every new AI integration is a new attack surface. every API is a new door. every device that “talks to the cloud” is one more thing that can be turned off by someone you’ll never meet and I’m not saying every one of these systems will experience something who really knows what’s secure or isn’t but if you’re building right now… security isn’t the last layer you add. it’s the first one. → 150,000 people have just found out what happens when nobody prioritizes that… archaic government systems and legacy businesses are likely first on the chopping block I hope the rest of us continuously learn from it instead of living it the weakest link in every system is the one nobody bothered to secure like what wild system vulnerability will we see next? does someone hack Area 51?

😳 1x RTX Pro 6000 Blackwell secured now will Nvidia give me MSRP