𝘈̀𝘭𝘰̀𝘯𝘦◍𝘥𝘢 𝘝𝘰𝘪𝘤𝘦 {winning arc}🍤
38.8K posts
@AloneWrites_
I turn complex Web3 ideas into clear, human content. Threads • Content strategy • Community storytelling.
╱◥██████◣ │∩│🌄▤│▤▤│ You this year
If you really want to enjoy using Chat GPT, you have to set it in a way it won’t keep agreeing to everything you say because CHAT GPT is a fuc*ng yes man Would drop a guide on how to make your gpt become a bulletproof thinker and not a yes man. Top of the morning ☕️
Opay do not forget 😒 Thank you for constantly checking on me
a year ago I said a silent prayer “I want to be in a better place by my next birthday”. a year after and I am in a better place, not yet where I want to be. but i’ve come miles from where I was.🙂↕️ pop the ballon’s x gave me, it’s a good day.🙂↔️
𝗺𝘆 𝗽𝗲𝗿𝗹𝗲 𝗺𝗼𝗺𝗲𝗻𝘁 𝘄𝗮𝘀𝗻’𝘁 𝗮 𝘁𝘄𝗲𝗲𝘁 𝗼𝗿 𝗮 𝗶𝗻𝗳𝗹𝘂𝗲𝗻𝗰𝗲𝗿 𝘀𝗵𝗶𝗹𝗹. it was when i sat down, opened the docs, and actually read the tokenomics. -> let me explain why that matters and i’ll use something you already know. remember when FIFA 23 ultimate team got exposed for rigged pack odds? EA had been publishing “probability rates” for years. looked fair on paper. but data investigators ran thousands of pack openings and found the actual numbers didn’t match what was advertised. EA was telling players one thing and doing another behind closed doors. nobody could verify anything because everything happened inside EA’s servers. you just had to trust them. that’s exactly how most crypto projects handle their token allocations. they publish nice pie charts, write “community first” in bold, then quietly give the team a backdoor - early unlocks, cliff exceptions, “strategic partner” carve-outs that let insiders dump before the community even gets their tokens. -> @perlelabs did something different. team tokens are on the same or stricter vesting schedule as community tokens. tokens unlock gradually for everyone, with the same rules for team, investors, and contributors…it’s simple. everyone (founders, investors, early backers) locked up just as tight as the people actually doing the annotation work. -> then i looked at who built this. the founding team came out of Scale AI - the company that built a $29 billion data labeling operation and landed a $300 million contract with the US Department of Defense. these aren’t people writing whitepapers about problems they’ve never touched. they’ve run annotation pipelines at that scale. they know exactly what breaks and where people cut corners. -> that’s when it clicked. in a space full of projects where the structure contradicts the pitch - perle’s structure matched the words. that’s rare. that’s the moment.
