02 -Jason Benn - The Neighborhood SFbb
00 分钟
2023-12-23
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特别提到了 Unconference 带来的巨大影响 对于探索的议题,通过 AI 来寻找合适的共居成员,直接策展居住者的感觉。 他们的有趣之处在于,为不同的领域进行策展,并通过策划非正式会议的形式和通过 AI 来匹配稳定室友来获得愿意共同居住在一起的群体,并去创建他们的共居空间。 vibe 的目标是像小镇一样舒适,像大学校园一样热闹
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共居社区
稳定室友问题是一个数学问题,涉及到将一组人员两两配对共享房间,目的是找到一个安排方案,使得没有任何两个人更愿意与他们当前的室友之外的另一个人共享房间。简单地说,就是要找到一个室友分配方式,让所有人都对自己的室友感到满意,没有人想要更换。
这个问题可以通过以下步骤简化和说明:
  1. 定义偏好列表:每个人都有一个所有其他人的偏好列表,按照他们与之同住的愿望排名。
  1. 配对室友:根据这些偏好列表,尝试将人员两两配对。
解决这个问题的一个著名算法是Irving算法。它大致的解决方案如下:
  1. 第一轮提案:每个人都向他们列表中排名第一的人提出共享房间。
  1. 处理提案:被提议的人可以接受或拒绝提案。如果他们有更好的选择(在他们的偏好列表中排名更高的),他们可以拒绝较差的提案。
  1. 迭代和调整:被拒绝的人需要从他们的列表中删除拒绝他们的人,并向列表中的下一位发起提案。这一过程重复进行,直到每个人都不能再改进自己的配对为止。
在最终的稳定配对中,每个人都至少和他们能够达成的最佳配对之一共享房间,没有人愿意两两交换室友。重要的是要注意,与稳定婚姻问题不同,稳定室友问题并不总是有解。也就是说,在某些情况下,可能找不到让所有人都满意的稳定配对。

The Neighborhood SF

The Neighborhood is a co-living community in the heart of San Francisco. Website:
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  • 杰森·本恩(Jason Benn),作为旧金山邻里计划的创始人,在2023年网络状态会议上介绍了他的项目。这个项目目标是在旧金山中心创建一个一平方英里的校园,致力于培养自治社区和共居空间。他强调了由于截止时间误解未能准备幻灯片演示的情况,并分享了该社区如何自下而上地成长,吸引了20,000人关注,并激励至少150人迁移到该地区。
  • 本恩详细介绍了邻里计划的基础——共居社区的重要性。这种共居模式允许成年人共享空间和资源,灵感来源于他自己积极的共居经验。他共同创建的一个住宅对其成员的职业成功产生了显著影响。该项目通过与房地产提供商的合作伙伴关系实现可持续增长,并获得了为期两年的资助。
  • 他讨论了创建这样的社区的挑战,重点是协调那些才华横溢且忙碌的个体的困难。为了解决这个问题,他使用非正式会议作为社区建设的工具,参与者在这里分享他们的热情并形成强烈的连接,这样的会议充当了创建新共居空间的“工厂”。
  • 本恩阐述了用于策划多样化和平衡的非正式会议活动的组织策略和工具,包括一个实时更新的仪表盘和人工智能来预测参与者类别,确保性别、专业技能和对共居生活的兴趣的混合。这种细致的计划导致了一次成功的以气候为主题的非正式会议,最终孵化了一个新的共居房屋称为“树屋”
  • 最后,他分享了邻里计划未来的愿景,旨在在旧金山的心脏地带创造一个充满活力、小镇般的感觉,促进各个领域的创新和社区合作的现代文艺复兴。他邀请感兴趣的人士联系并考虑投资该邻里房地产基金。
 

 
创始人杰森·本恩组织了一次关于气候的非正式会议,以下是他的全部经历细节:
  1. 策划初期:本恩初始只有五个在气候领域的朋友。他分享了他的会议概念给其中一位朋友,这位朋友非常兴奋,并立刻从手机中找出三个月的短信记录,推荐了25个她最喜欢的人选。
  1. 构建工具:由于他是行业之外的人,且有众多的约束条件(如性别比例、兴趣于共居、技术技能类型等),本恩构建了一个实时更新的仪表盘,预测每个类别的预期参加者数,基于漏斗指标和转换比例。他还使用了人工智能预测每个人的类别,并在要求他们的推荐之前,发送这个文档给他们。
  1. 策略性推荐:他希望推荐基于“我想在某些方面变得更像这个人”的理念。当邀请者看到目标与当前状态的对比(如非男性目标40%,但当前仅33%),他们的推荐自然而然地倾向于我们缺少的类别,使得推荐过程自我校正。
  1. 广泛邀请与选择:经过两个月的时间,本恩从六个气候朋友开始,收集了300个温暖的介绍。他和他的助理研究了206个,邀请了152个,92个表示有兴趣参加,最终61人实际参加了。几乎所有的约束条件都得到了精确的满足。
  1. 活动细节与调整:在活动前10天,原定场地被六英尺的雪覆盖,迫使本恩重新计划整个活动,包括厨师、场地和工作人员。他最终决定以“我爱气候”为主题,对装饰进行了策略性的更新。
  1. 活动结果:这次气候非正式会议成功地组建了一个核心的共居小组。他们每周与本恩会面,共同招募成员,寻找房子,并构建他们希望开始的文化。几个月后,他们找到了房子并签约,创建了名为“树屋”的共居社区。
通过这个过程,本恩不仅举办了一次成功的以气候为主题的非正式会议,而且还实际促成了一个共居社区的成立,证明了他的策略和工具的有效性。这个经历展示了通过精心策划和社区动员,一个小小的想法可以如何影响实际行动和社区的形成。
 
在这次关于气候的非正式会议中,杰森·本恩采用了一系列有创意且精心设计的方法来组织结构和讨论:
  1. 分组小讨论:为了促进深入交流,本恩在早餐、午餐和晚餐时将与会者分成四人小组,将他们派遣到步行距离内的当地咖啡馆和餐厅。这为每组提供了90分钟的安静时间,没有干扰地连接和交流。
  1. 使用人工智能匹配:为了使这些小组讨论更加有针对性和深入,本恩运用了人工智能来匹配参与者。他在注册时要求每个人提供他们愿意在会议上讨论的三个问题和总结他们的技术背景和专长。然后,他让GPT评估基于每个人A的问题和人B的专长,这两人是否可能进行深入的对话。这样,他获得了一个全体偏好矩阵,可以用于将人们划分成任意大小的小组。
  1. 优化匹配算法:他利用了一个被称为“室友问题”的算法来优化匹配,该问题的解决方案在2012年获得了诺贝尔奖。该算法根据偏好矩阵,为组内的每个人提供最佳匹配,确保每个小组讨论的人员配置既能促进深入讨论,又能增强社区感。
  1. 质量反馈与改进:通过对参与者的反馈,本恩得知人们非常喜欢这种组织方式。例如,一位在DeepMind领导团队的研究科学家表示,这种方式难以改进。这种积极的反馈表明,细致的组织和人工智能辅助匹配显著提高了会议的质量和参与者的满意度。
通过这样的结构组织和讨论方法,本恩不仅提供了一个促进深入交流和建立强烈社区感的平台,而且通过精心设计的小组和匹配系统,最大化了与会者之间潜在的协同效应。这种方法突出了非正式会议在促进知识分享、激发合作和培养社区精神方面的独特价值。
 


 
notion image
notion image
作为基础通常有 10 - 20 成年人住在一间大的屋子里面,公用一个厨房。这或许看起来就是个在洛杉矶的亚文化中流行的水清,但是事实上从 2016 年开始他们就已经创立了一家叫做 archive 的房子,从最开始的一群雄心勃勃但是并不罕见的朋友住在一起,然后在接下来的 6年中,15个人组成了 funding teams 并且筹集了 11亿美元,并共同创建了 GPT3 ,这是他们所没有预料到的。 1/3 的人表示 Archive 对他们来说非常重要。
问题是我们显然需要更多的这样的共居空间,但是为什么这种变革性的共居社区如此罕见呢?主要是因为你需要一些真正独特的人,比如他的室友只是很有趣,但是如果是伟大的人真的很难被协调起来。如果他们有魅力,就会有丰富的社交生活,如果他们真的很有趣,他们就会在周末的时候建造一些比如机械臂,或者是黑客到阿富汗,这些都是真实会发生的事情。
周末的这些活动真的早就了很强的社区意识
 
关键内容整理
  1. "hello everyone I'm Jason Ben founder of the neighborhood"
      • 大家好,我是杰森·本恩,邻里计划的创始人。
  1. "the neighborhood is a 1 square mile campus in the middle of San Francisco and we help start autonomous communities and hangout spots"
      • 邻里计划是位于旧金山中心的一个一平方英里的校园,我们帮助启动自治社区和聚会场所。
  1. "we are Grant funded for the next two years"
      • 我们在接下来的两年里获得了资助。
  1. "I basically just drew a circle on a map and 20,000 people saw it and it turns out when you spend an absurd amount of effort justifying why one square mile on the Bay Area is the best in the whole Bay Area and people are already willing to live in the rough vicinity they are totally down to move there"
      • 我基本上只是在地图上画了一个圈,有20,000人看到了它,结果表明,当你花费荒谬的努力来证明为什么湾区的一平方英里是整个湾区最好的地方,而人们已经愿意住在附近时,他们完全愿意搬到那里。
  1. "we've also inspired at least 150 people to move"
      • 我们还激励了至少150人搬家。
  1. "mainly what I spend all my time doing is trying to create truly excellent co-living communities"
      • 我主要花费所有时间试图创建真正优秀的共居社区。
  1. "co-living is where 10 to 20 adults usually live in one big house and share a kitchen"
      • 共居是指10到20个成年人通常住在一个大房子里共享厨房。
  1. "the 15 founding teams in the house co-founded companies that have now raised $1.1 billion and co-author gpt3"
      • 房子里的15个创始团队共同创立了现在已经筹集了11亿美元并且共同撰写了GPT-3的公司。
  1. "why don't more houses like this exist?"
      • 为什么不存在更多这样的房子?
  1. "an unconference is like a conference like this except it's much smaller and everyone gives an informal talk about anything they want"
      • 非正式会议就像这样的会议,只是规模小得多,每个人都可以非正式地谈论他们想要的任何事情。
  1. "perhaps an unconference could be a kind of archive Factory and this could be the Keystone of the neighborhood strategy"
      • 也许一个非正式会议可以是一种档案工厂,这可能是邻里策略的关键。
  1. "I used AI to predict which categories everyone was in and then I would send people this document this live updating dashboard before asking for their recommendations"
      • 我用人工智能预测每个人所在的类别,然后在要求他们的推荐之前,我会发送给他们这个文档,这个实时更新的仪表盘。
  1. "we finally found a house and recruited the whole group and they signed leases in September last month"
      • 我们终于找到了一所房子,招募了整个团队,他们在上个月的九月签了租约。
  1. "The Vibes goal is to feel as cozy as a small town as Lively as a University campus"
      • The Vibes的目标是感觉像一个舒适的小镇,像一个充满活力的大学校园。
  1. "if any of these tickle your fancy uh I invite you to connect with the neighborhood of this URL"
      • 如果这些中的任何一个激发了你的兴趣,我邀请你通过这个网址与邻里计划联系。
 

 
 
Title: "(76) 02 - The Network State Conference 2023 - Jason Benn - The Neighborhood SF - YouTube" Transcript: "hello everyone I'm Jason Ben founder of the neighborhood and I totally did not realize to cut off for submitting slides so we're going to Freestyle the visuals here a little bit um just ignore the breadcrumbs they're going to be all wrong uh okay so the neighborhood is a 1 square mile campus in the middle of San Francisco and we help start autonomous communities and hangout spots uh we are Grand funded for the next two years uh we that gives me time to build up uh sustainable uh Partnerships with real estate providers uh and that'll be our business model um as for this kicked off of movement piece um I basically just drew a circle on a map and 20,000 people saw it and it turns out when you spend an absurd amount of effort justifying why one square mile on the Bay Area is the best in the whole Bay Area and people are already willing to live in the rough vicinity they are totally down to move there uh and so it does feel like a little movement um we we've also inspired uh at least 150 people to move I have kind of lost count uh We've also inspired communities like hfz uh which is an AI accelerator and Solaris and mats maker space to start here um so that's really cool uh okay so mainly what I spend all my time doing is trying to create truly excellent co-living communities uh that is the foundation of the neighborhood co- living is where 10 to 20 adults usually live in one big house and share a kitchen uh and if you're familiar you might be skeptical it's it's like kind of a niche subculture and it's like really popular in San Francisco but not as much elsewhere I was certainly skeptical too uh but for background my first co- living experience started in 2016 when I co-founded a house called the archive here uh in the beginning we were an ambitious but not obviously unusual group of friends and over the next six years the 15 founding teams in the house co-founded companies that have now raised $1. 1 billion and co-author gpt3 which none of us would have ever predicted amazingly a third of those teams said that the archive was pivotal to their outcomes look at this bunch of normal hippies I mean this is like very regular and uh those are amazing outcomes so the natural question is why don't more houses like this exist like there was 20x more demand for the archive than there was space so why are these transformative co- living communities so rare well the main problem is that you need some really great people like some of my housemates were just amazing uh but great people are really hard to coordinate so if they're charismatic they have Rich social lives if they're really interesting they spend their weekends building tentacle robots or hacking Afghanistan which are both real stories uh and so how do you start many new ones I uh it's hard to say so one key Insight came from the unconferences I've been going to uh an unconference is like a conference like this except it's much smaller and everyone gives an informal talk about anything they want and I kept noticing that these events these weekends kept producing really strong senses of community and there's a bunch of reasons for this but the main one is that when everyone has a chance to demonstrate their passion uh you're often bursting with conversations by the end of the weekend and you feel like you're part of a special group uh but unfortunately they always scatter to the winds after and so this is one of the key insights perhaps an unconference could be a kind of archive Factory and this could be the Keystone of the neighborhood strategy so I set to work and I hosted my first unconference in March of this year here yeah here's the right side uh and it was themed around climate so recruiting a great group is the central challenge of this whole project and so it's how I spend most of my time uh unfortunately in January I had all of five friends in climate right I'm on time uh so I told one of those five friends about the concept and she got really excited and she pulled out her phone on the spot and she went through three months of texts and she recommended 25 different uh of her favorite 25 of her favorite people in climate right on the spot and and that was when I realized that I could curate this whole event through chains of warm introductions uh which was great uh so I wanted the bar for a warm recommendation to be I want to be more like this person in some way but I also wanted an even gender ratio and I wanted everyone to be at least curious about co- living in the Bay Area and while I'm at it I also wanted there to be representation from all the different skill sets that are relevant to climate and I wanted it to be mostly Builders and at most 15% VCS uh and those were a lot of constraints for someone who's outside of the industry so I built a tool to help uh I made a live updating dashboard that predicts the expected number of attendees for each category given our funnel metrics and conversion ratios between funnels and I scraped people's LinkedIn and I wrote I used GPT to predict which categories everyone was in and then I would send people this document this live updating dashboard before asking for their recommendations and they would see that our goal for non-male attendees was 40% but we're only currently at 33% or that we're looking for all these types of uh technical skill sets but we don't have any industrial Engineers or oceanographers yet and lo and behold when they see this document first 75% of their warm introductions would be for the categories we were missing and so recommendations became self-correcting and so over a period of two months I went from six friends in climate to collecting 300 Warm introductions uh my EA and I researched 206 we invited 152 92 expressed interest in attending 60 one ultimately attended and we hit basically all of our constraints almost exactly which was amazing uh we aimed for 40% non-mil and hit 37. 7% which is not bad for a deep Tech conference we wanted at most 15% funders and got 13.9% we want we wanted 19 skill sets and got 18 Etc and despite not explicitly seeking them 54% of the people that came were our venture-backed Founders which was interesting and It produced critical mass for a co- living house it it it seated a a medium size group that started meeting with me every week to recruit find a house and build the culture that we wanted to uh eventually start my sister even came and got a job it was awesome uh by the way event planning is a chaotic business my original venue was covered by six feet of snow 10 days before the event and so I had to replan the whole thing so we had to uh I I hit the original dates but we had new chefs new venues and staff uh however the new venue neglected to tell me that their Decor was like The Party Store vomited on Barbie's dreamhouse it was for a singles party for the owner's 60-some mom like the next nightow and so we changed the theme from climate to I love climate we made a few tactical updates of the decor sweet Earth always be mitigating your carbon impact it worked out great so it produced the chiness that we were hoping for um but 61 people are Sly too small and if you want to create a 15 person co- living house in one Fell Swoop you need to double or triple the size of the event but that creates a new problem which is that big conferences and maybe we can relate to this here uh make it really hard to connect with people which is why we're all here so there're mostly big group conversations and it's difficult to justify a one-on-one conversation when you're always being interrupted uh in a chaotic environment and so for my next done conference which was 3 months later and themed around Ai and Alignment I tried something different um the basic idea was to break up everyone at the conference into groups of four for every breakfast lunch and dinner throughout the weekend and then I would dispatch them to local cafes and restaurants within walking distance and now they have 90 minutes of quiet time uninterrupted to connect with three other people in their group and there'll be different groups all weekend now I could have matched people randomly and it probably would have been an improvement but I really wanted to find a way to make people to introduce people to others that they really wanted to meet um and so being being a former ml engineer for you know 9 years naturally I used AI so I asked everyone two questions uh during onboarding I asked what three questions would you love to talk about at this event and summarize your technical background and expertise in a tweet and then I asked GPT for every pair of people would these two people have a great conversation based on any of person A's questions based on person B's expertise and that produced a total preferences Matrix which I could feed to the state-of-the-art matching algorithm which is called the problem is called theate roommates problem the solution won in Nobel in 2012 and it outputs given a preferences Matrix for a group uh arbitrary subgroups of an arbitrary size and so now I've got my groups of four great uh and people really loved it uh I know this from my qualitative feedback but also because uh a research scientist leading a team that Deep Mind came up to me afterwards with tears in his eyes and said it would be hard to improve and so now I've got the beginnings of a repeatable machine that creates communities that are both both very well curated and very densely connected so the uh March climate UNC conference did produce the nucleus of a co- living house and after meeting with them weekly for almost 5 months we finally found a house and recruited the whole group and they signed leases in September last month they're called Treehouse and I'm super proud of them I think they're at least as warm and inspiring as the archive was when we started and I can't wait to do the same for AI for biotech for sci-fi storytelling for abundance policy for metascience for neurotech and for much more over the coming years The Vibes goal is to feel as cozy as a small town as Lively as a University campus and uh maybe the wild dream is to maybe have a little chance of kicking off a tiny Renaissance in the middle of San Francisco so if any of these tickle you're fancy uh I invite you to connect with the neighborhood of this URL and if you're curious about investing in a neighborhood real estate fund then you can shoot me an email organizers neighborhood sf.com and thank you so much"

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