Phaver 價格SOCIAL

so @WholeMarsBlog came into his friend @MobofJoggers space last night screaming and yelling carrying on calling everyone scammers (called me jordan belfort 🤣) for discussing the fact that the grok x account has a wallet approaching $1 million in assets he even went as far to say he was there to protect his friend lincoln from getting involved in “securities fraud” today whole mars created his own coin, has generated nearly $8k in fees, is performing buybacks, and promoting the coin on the social feed his coin just hit a $1m mc im proud of whole mars for taking this leap and actually becoming a user of the technology and not just an ‘expert on everything’ smartest guy in the room kind of thing sharing his opinion on things he’s really not qualified to talk about he’s clearly learning if at this point you don’t realize the first coin created by grok on x resulting in groks wallet hold millions won’t be covered by EVERY major outlet i literally cannot help you and may god have mercy on your soul 🙏🧡

RT @__Talley__: The fact that the “reply guy” strategy is X’s main (only) way for new accounts to grow is dumb as f*ck. Every other social…

After one week of hacking, we had an intense day of demos with every single participants presenting what they got done and their plan for the next week We started with a presentation by @williamhwgeorge on pairwise bounded comparisons for groups, basically applying cluster QF formulas to pairs rather than groups @sarkazein7 followed it up with an application to OSS, attempting to quantify the value of contributions to git repositories @hey_stefi_ then did a deep dive into automated metrics to evaluate progress, based on which we can have a more regular stream or RPGF rewards than we currently do This livestreamed segment was rounded up by @clesaege who presented a model where traders can bet on a repos score by a judge if it was evaluated, while @juanbenet gave us a concrete use case for all these ideas: the PL dev guild that gets a new cohort every 6 weeks enabling rapid iteration of new ideas, with payouts to them depending on scores given by their mentors The 2nd half was not livestreamed, so I'm only taking names where i have permission to do so @CS_Synthesist gave a talk on a computerized system for managing people, with particular interest in condorcet voting as a formula Another participant spoke about modelling agent behavioral in these impact evaluator systems and how it changes with extended timelines and clear vs lottery reward functions The next participants then spoke about how impact evaluators become more right upon application of control theory, with a 3 step process: defining a goal or success, defining key actors (like miners in btc) along with the outcome we want (preventing double spend) and finally letting the system self organized through the fitness landscape defining the outcome but not steps required to get there Next up was a presentation on how retro rewards can ideally lead to long term cooperation instead of short term opportunism by shaping collaborative behavior Ideally we have an assess, estimate, infer loop that links impact evaluation with impact. Next was an application of this framework to create a graph of actions, run a pagerank algo to get weights & finally put into a reward function for distribution in online gaming or for impact certificates We then got a theoretical perspective from @0xNaiky on how despite being endogenous loops, impact evaluators still depend on an external factor (price) for the incentive system to work A very specific application of IEs was then proposed by @iammadab in the mathematical domain of formal verification, where a new programming language called lean allows for more seamless Collab by showing proofs without having to actually so them @bah_eth had a really fun presentation on combining pump fun memecoin dynamics with kaito style rewards for social media activity Our goal is capturing social media impulsive behavior with pump & dump schemes to create long term value for communities rather than enrichment of a few @davidgasquez then looked at how we can get better rankings from AI, highlighting issues with jury such as order of voting being important or LLMs giving everything a 7/10 He applied a pairwise model where AI can be given a list of items to compare as input and as output we get a rank between them @dwddao followed up with a provocative invitation to all participants for creating a digital twin of themselves, using just 1 hour of their speaking time in a podcast. His key insight was to decoupled opinion from judgment We then had a presentation on generalizing the @ProtocolGuild contract so that anyone can create a splits and give weights between them using any formula they prefer @owocki then spoke on solving eths biggest challenges, evolving capital allocation software & alignment between tokenholders, contributors & ecosystem, via tokenizable extractable value thru proof of allocation intelligence We then had ideas on provable data being brought onchain to measure IEs & standard structures to communicate impact (cont'd)

RT @UXLINKofficial: Meta @AIatMeta, once again, demonstrates and validates the power of Social. Social + AI is the ultimate winning formula…

🧐 @AIatMeta 又整了个大活，一边秀肌肉，一边验证了一个核心逻辑：Social + AI，才是真正的顶配组合。 它最新财报里净利润直接暴涨了 38%，股价一晚上飙了 10% 以上。关键是，它98%的收入都来自广告业务——也就是说，本质就是靠 AI 帮别的公司拉用户。Meta 的 AI 广告工具已经能把平均ROI提升22%，这个效果已经很恐怖了。 但说到底，这一套 Social+AI 的增长公式，其实 Web3 也有项目在照着做，比如 UXLINK。社交网络做底层，5400万用户的网络效应是真实存在的；AI 作为增长引擎，靠的是像 @XerpaAI 这种可以帮用户自己拓客的工具；而Web3广告行业每年还在以26.5%的速度增长，需求完全不比传统行业小。 不同点是，Meta 是封闭生态，而 UXLINK 想做的是开放式、去中心化的社交网络。通过 AI Growth Agent 这种新物种，不只是替别人买广告，而是真正帮 Web3 创作者和项目一起涨粉、涨用户，一起赚钱。这不是做 Web3 的 Meta，而是要超越 Meta。