Not every Web3 project belongs on the same stage. Each is different; we must understand it. Treating an early-stage sandbox like a battle-tested protocol hurts both founders and users. Different development stages simply need different environments. That is why @rarelistio created the Alpha Zone. The Alpha Zone is a dedicated place for high-risk, experimental ideas, rather than trying to shove raw prototypes into standard launch formats. It runs on faster campaign cycles and tailored reward mechanics, giving builders the room to test, iterate, and build traction without false expectations. Meanwhile, explorers get clear context on what they are diving into: pure early-stage discovery. This brings more opportunities to creators and projects to get real attention on social media. By splitting frontier experiments from mature opportunities, @rarelistio sets realistic expectations while keeping genuine innovation alive. Curious to test the frontier? Keep an eye on @rarelistio and see what is brewing in the Alpha Zone. @onlystreetsfun

Timelapse footage from the ISS in low Earth orbit, this footage captures the aurora australis as dynamic green ribbons of light, a visible phenomenon caused by the interaction of energetic solar particles with gases in Earth's upper atmosphere. less Video credit @ The Weather Channel

LLMs as we know them are full of noisy data, trained with brute force computation on every layer, with the same mentality as throwing stuff at the wall and seeing what sticks Now, take away the effecinencies and you'll see a clear path for Local AI to win

HOLY SHIT Opus 5.5 made me this video Entire thing built by Claude Code, from choosing quotes and clips to editing cuts, pacing, zooms, music, text overlays, and video & audio upscaling Seriously watch this or bookmark it to for later

People need to interact with LLMs as if they’re a representation of all humans and understand that their answers are a representation of the normal distribution of all humans (average) That’s where anyone with an edge shines while using LLMs btw

I tell people that Opus 5.5 is a small and specialized model Try to give it a very difficult problem, it will fail Out-of-distribution tasks are some of the things that only big models (think Astra/Sol) could do