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Now Live: Phoenix on Loris Tools • Real-time & Historical funding rates from Phoenix and 35+ other venues • Open Interest and Volume tracking to spot positioning & flows as they happen • Full historical funding charts: backtest any Phoenix symbol's funding against every other exchange Check it out →

11,537 次观看 • 5 个月前 •via X (Twitter)

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‼️BOMBSHELL: Blake Neff CONFIRMS Andrew Flew Into Provo From Phoenix- PROOF Andrew Kolvet Had FOREKNOWLEDGE Of Charlie Kirk's Impending Doom?😱 Blake Neff (longtime producer on The Charlie Kirk Show and one of TPUSA’s most vocal defenders of the official narrative) slipped in LouisianaGirl (Tara)’s late-night impromptu Spaces and said Andrew Kolvet flew into Provo from Phoenix, then immediately tried to walk it back: “He flew down that day, he flew down that day or flew up. I should say from where, from Phoenix. Oh, okay, or for wherever he flew in from, I I, I don’t wanna say from Phoenix.” The question came from Charliesangels47. Multiple people in the investigator community already clipped and noted it last night. Why This Matters For months, the maintained story from TPUSA insiders (including Kolvet and Neff) has been that Andrew Kolvet flew from Santa Barbara to Provo on 9/10, arriving in time for the now-famous “tarmac hug” with Erika Kirk . Candace Owens has repeatedly pointed out timeline problems with that story: Flight data showing movements involving the Santa Barbara → Scottsdale (Phoenix area) corridor right around/after the shooting. Police scanner audio indicating Erika was already being picked up ~3:30 PM. Questions about where people actually were and when they moved. If Kolvet was flying from Phoenix (or was positioned such that Phoenix was the accurate origin in Blake Neff's mind), that directly undercuts the Santa Barbara narrative they’ve been defending. The instant backtrack (“I don’t wanna say from Phoenix”) is the kind of tell that happens when someone realizes they just revealed something they weren’t supposed to. This doesn’t happen in controlled interviews or on their own show. It happened in an open Spaces with Charlie Kirk investigators asking direct questions.

Project Constitution

200,711 次观看 • 2 个月前

New greenpill.network pod today with @thedevanshmehta about Deep Funding, a new AI-powered funding mechanism that combines human evaluation and prediction markets to allocate resources for open-source projects. Topics: 1. how Deep Funding scales human judgment, 2. prevents Sybil attacks, 3. and creates a fair, dynamic “price feed” for public goods. 4. Devansh shares insights from the pilot run, the results of the data-science competition, and how the model will power Gitcoin Grants 24 #GG24 Timestamps: 00:00 – Intro: Welcome to the Greenpill Podcast – exploring tech, coordination & Protopia 00:45 – Introducing guest Devansh Mehta, AI & Public Goods Lead at the Ethereum Foundation 01:20 – What is Deep Funding and why it matters 02:00 – How Deep Funding scales human evaluations with AI models 02:45 – Overview of the pilot run and what was tested 03:20 – How the mechanism works: human jurors + model builders 04:30 – The White Hat Sybil attack and what it revealed 05:40 – How Deep Funding integrates data science competitions and prediction markets 06:50 – Results of the pilot: weighted funding for 45 open-source repos 07:30 – Creating a credibly neutral funding system with unequal weights 08:40 – Comparing Deep Funding with Protocol Guild and other mechanisms 09:20 – Building a strong community of AI developers and human jurors 10:30 – The role of jurors and models in fair evaluation 11:10 – What’s next: expanding to 90 repos in Gitcoin Grants 24 (GG24) 11:50 – Funding pool: $350K from Ethereum Foundation & Gitcoin 12:30 – Challenges of distributing capital efficiently and fairly 13:20 – Moving to GitHub repo-level governance: who controls the funds? 14:40 – Two models of spending: splits contracts vs counterfactual wallets 15:40 – Lessons from past Gitcoin funding rounds 16:20 – Why Deep Funding focuses on units of work, not organizations 17:20 – Avoiding distortions and improving fairness in funding 18:10 – The vision: creating a live price feed for public goods 19:10 – How prediction markets price open-source value 20:30 – Self-correcting market behavior and real-time adjustments 21:20 – Subsidies and liquidity: bootstrapping active participation 22:10 – Balancing liquidity levels to prevent manipulation 23:00 – What’s next for Deep Funding: refining future iterations 23:40 – Shoutout to the model builders and competition winners 24:20 – Where to learn more: & 25:00 – Closing: the future of AI, governance, and funding what matters If you’re curious about the intersection of AI, governance, and funding public goods, this conversation is for you. And participate in GG24 at

owocki’s gitcoin 3.0 arc

12,981 次观看 • 11 个月前