intelligent

Polymarket referral live quietly launched what everyone wanted all 2025 Now you earn a cut from ALL fees of everyone you refer, with no cap traded $10k in volume? - You get your referral link and start earning passive income while your referrals trade elections, crypto, sports, and so on of course, i am already in with $1m volume, join in - polymarket.com/?r=KeshX what you get? → you get a cut from every fee your refs generate → no cap → boosted rewards first 180 days → more they trade, the more you get

Assets added to the roadmap today: Perle (PRL) coinbase.com/blog/increasin…

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The @PerleLabs Season 1 snapshot is officially LOCKED. 🔒 No more grinding. No more chasing points. Everything is finalized on-chain. Watching this community scale a human-verified AI data layer from zero to this has been insane. My stats are locked in. Now we wait for what comes next and how rewards get distributed. If you were active this season, go check your final rank: app.perle.xyz Where did you land? Drop your rank

If you passed the @PerleLabs Human CAPTCHA... Congrats. You’ve officially unlocked a special edition SBT. This is your on-chain badge of honor - proof that you can distinguish ground truth from AI noise. Valid claims are being processed as we speak. Personally, I’m still waiting for mine to hit the wallet - the team says distribution is ongoing (likely manual), so no need to panic or open a ticket just yet. Patience is a virtue in the data layer. Drop a screenshot if yours already arrived. Who’s officially verified?

So @sentientAGI just open-sourced EvoSkill and i went deep on what this thing actually does. The concept is simple but powerful: when your AI agent fails at a task, EvoSkill analyzes the failure trace, identifies the pattern behind it, and writes a reusable skill so the agent never makes the same mistake again, all without you touching a single prompt. Under the hood it runs three specialized agents in a loop: - The first one executes your agent on real tasks and scores the results - The second one studies every failure and figures out what went wrong structurally, not just that it failed but why - The third one takes that analysis and writes a permanent skill file your agent carries forward Everything is tracked as git branches so you can audit the evolution or roll back if needed. I spend way too much time babysitting my agents, rewriting prompts every time something breaks, adding "don't hallucinate prices" and "double check governance data" like i'm training a new intern every morning. Now EvoSkill can automate that entire feedback cycle. The part that sold me though is the zero-shot transfer. Skills discovered on one benchmark improved performance by 5.3% on a completely different task the agent had never seen before, with zero modification. I am not writing this bit because I am an ambassador, but I'm actually going to use this on my own project you all know - @polybility The problem I face is next: each step of analysis can fail in ways that are hard to catch manually, maybe it pulls weak base rate data, maybe the contrarian test doesn't push hard enough, maybe a resolution criteria edge case slips through... Right now when predictions miss i have to trace back through the entire pipeline and figure out which step broke. With EvoSkill i can run the analyzer against resolved markets where I already know the true outcome, let it identify exactly where and why predictions went wrong, and have it evolve skills like "weight procedural constraints higher when legal deadlines are involved" or "always check resolution criteria for timezone edge cases." Those skills persist and transfer across every future market analysis automatically. That's the real unlock for anyone building AI agents in crypto, whether you're running prediction models, content pipelines, research workflows, or trading signal systems. Every failure your agent encounters becomes a permanent lesson instead of a manual prompt fix you'll forget about in a week.

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