综合影响力
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Ari Paul
已认证@AriDavidPaulBlockTower Capital 创始人兼CIO
Ari Paul 是 BlockTower Capital 创始人兼 CIO,兼具传统机构投资与加密市场经验,曾任芝加哥大学捐赠基金投资组合经理和衍生品交易员。他长期通过媒体输出对加密周期、风险定价与机构参与的判断,在行业内具备较强话语权。
从业年限
2 年关联机构
1 家个人投资
1 家媒体曝光度
143 次 / 月个人净资产
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人物档案
Ari Paul 是 BlockTower Capital 创始人兼 CIO,兼具传统机构投资与加密市场经验,曾任芝加哥大学捐赠基金投资组合经理和衍生品交易员。他长期通过媒体输出对加密周期、风险定价与机构参与的判断,在行业内具备较强话语权。
偏好以宏观框架和风险管理驱动决策,重视仓位控制与赔率而非追逐短期情绪。其逻辑更接近机构化、纪律化配置,通常对高波动资产保持审慎但不排斥结构性机会。
近期公开信息显示,他仍以媒体发声和观点输出为主,持续围绕加密市场的机构化、风险与周期叙事进行讨论。可见其影响力更多来自对行业框架的解释,而非频繁披露新交易。
出生地--
教育背景--
从业年限2 年
关联机构1 家
个人投资1 家 · 独角兽 0
媒体曝光度143 次 / 月
AI 风格画像务实派 · 机构视角 · 观点鲜明
主导特征务实派
以机构投资人的视角看待加密资产,强调风险控制、定价纪律和可验证的投资逻辑。
比较优势机构视角
拥有捐赠基金与衍生品交易背景,能把传统资产管理方法迁移到加密市场,形成更强的框架化判断。
主要争议观点鲜明
其对市场周期和风险偏好的判断较为直接,容易在牛熊切换时引发关于“过于谨慎”或“过度宏观化”的讨论。
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职业履历
BlockTower Capital 创始人兼CIO
Ari Paul 是 BlockTower Capital 创始人兼首席信息官,曾担任芝加哥大学捐赠基金的投资组合经理,以及衍生品交易员。
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关联实体

BlockTower Capital
综合性风投基金BlockTower 是一家机构投资公司,将专业交易、风险投资、信用承销和投资组合管理应用于数字和传统资产。

StormX
电子商务购物并赚取加密现金返还
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投资偏好
合规基础设施重仓
更倾向支持能提升机构参与效率、合规性和市场基础设施成熟度的项目。
衍生品与风险管理偏好
对衍生品、对冲和风险定价相关赛道更敏感,符合其交易员与组合管理背景。
市场结构关注
关注交易、流动性和市场结构改善带来的长期效率提升,而非单纯叙事驱动。
消费型加密应用选择性参与
对面向用户的加密产品保持开放,但更看重留存、现金流和真实使用场景。
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投资活动
暂无投资活动数据
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关系网络
核心机构
BlockTower Capital
联合创始人
Matthew Goetz
前雇主
芝加哥大学捐赠基金
早期项目
StormX
联投机构
Optimista Capital
联投方
Anthony Di Iorio
联投方
Steven Nerayoff
联投机构
Walden Bridge Capital
外部互动圈
媒体 / 监管语境
Ari Paul 的关系网络以 BlockTower Capital 同事圈为核心,并延伸到早期加密项目 StormX 的联投方;其职业背景还连接芝加哥大学捐赠基金等传统机构,同时常以行业评论者身份与媒体和监管语境互动。
新闻动态
实时同步加载中...
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社媒动态
Ari Paul@AriDavidPaul · 2 天前观点输出Raves today making me feel old. https://t.co/BD6PbKtSIA
101617
AI:延续个人公开立场,强调长期主义、执行效率与行业方向判断。
Ari Paul@AriDavidPaul · 9 天前观点输出Coach: sir, your seat is reclined by 2 centimeters. Fix it now or we’re dragging you off the plane. Business: Be comfortable, what else do you need? Private: you’re not traveling with anything radioactive that will blow up in the plane mid flight? Good to go. I don’t get why coach gets treated like such crap. It’s almost performative.
41214158.2K
AI:延续个人公开立场,强调长期主义、执行效率与行业方向判断。
Ari Paul@AriDavidPaul · 9 天前政策影响Standard LLMs are now better than 95% of doctors in 95% of specialties. If you’re not at least comparing your doctor’s advice to an LLM, you’re leaving a lot of health on the table. In a year I expect this to change dramatically such that medical LLMs will be 10x better than any doctor if you give them enough data. The main reason - even a great doctor only looks at 1% of your health data. They’re not reviewing your blood tests from 12 years ago, nor considering subtle ethnic effects on diet and prescription medication, nor are they reviewing what your poop looked like every day for a decade. They’re not reviewing every second of HRV data from your life. IMO, in a year or less, smart people will be photographing their poop and meals and wearing something like an Oura ring, and feeding that second by second data and images and every medical test you’ve ever taken into an LLM and getting incredible medical advice.
26717821.2K
AI:偏政策推进,强调合规落地与规则明晰,对监管主线更敏感。
Ari Paul@AriDavidPaul · 9 天前赛道影响Next time I need to fundraise for something, I’m pulling the Leone-SBF combo: going to pitch over zoom from a dentist’s chair while getting a root canal with no anesthetic. Will add a following drone camera so the meeting can continue while I run from the chair faster than Dustin Hoffman in Marathon Man.
1304214.3K
AI:偏主题投资表达,释放对基础设施与新叙事的偏多信号。
Ari Paul@AriDavidPaul · 10 天前赛道影响It’s kind of wild that there’s no clearly functioning quantum computer a decade after dozens of papers and tens of billions raised claiming working quantum computers. There’s an entire industry of quantum optimization claiming working software. All smoke and mirrors as far as I can tell.
22411513.9K
AI:偏主题投资表达,释放对基础设施与新叙事的偏多信号。
Ari Paul@AriDavidPaul · 10 天前赛道影响We’re living in such odd bubbles. You’ve got good chunks of the world obsessing over the definition of a woman or who has sovereignty over the falklands or what a lake should be called. And the world is being transformed before our eyes. The birth of the first new form of intelligence, new cancer cures weekly, computers built purely out of neurons. Neural imaging that lets us literally read minds. Century old fundamental math problems falling daily. What a time to be alive.
182326420.1K
AI:偏主题投资表达,释放对基础设施与新叙事的偏多信号。
Ari Paul@AriDavidPaul · 10 天前观点输出We’re all stoned apes. Go outside and climb a tree. Literally. https://t.co/wmdBhFzRlB
91447.6K
AI:延续个人公开立场,强调长期主义、执行效率与行业方向判断。
Ari Paul@AriDavidPaul · 11 天前赛道影响My favorite use of AI today is having it teach me random stuff. I considered myself a world class speed researcher on random topics. I was adept at going Wikipedia-> expert summaries -> peer reviewed papers or even raw data. I could do that quickly and accurately. AI eats my lunch 100x at this. Now I prompt, “I’m eager to learn about neuromodulation. I am starting with no knowledge except a half remembered high school education on biology and neuroscience. Write me a 30 page paper with the following components. The first page should be a simple summary, defining key terms, context. Pages 2-8: give me a breakdown of the field by branch or topic, with summaries of each branch and an example of the medical or commercial applications of each. Pages 8-22: now go into intermediate depth. Assume my knowledge level is of a beginning grad student in this area. Teach me as much as you can about the topic both in terms of the fundamental science, and its practical applications, in these 14 pages. Pages 23-26: List the key individuals and companies recently and currently operating in this field with a brief summary of each. Pages 27-30: Provide the most credible contrarian arguments to everything you wrote in pages 2-22: Which facts and statements that you’ve given me are most likely to be wrong and why? That consistently produces a great intro for me. At the end of that paper, I can usually identify obvious next steps, usually a list of terms or concepts I need to better understand that I follow up on. Or maybe I just reach out to an expert at that stage. At least I’ll have intelligent questions for them now and understand some of the jargon they reply with.
301227224.9K
AI:偏主题投资表达,释放对基础设施与新叙事的偏多信号。
Ari Paul@AriDavidPaul · 11 天前赛道影响Gambling addiction is a huge and pernicious problem in the US. I was a college student during the poker boom around ~2004. A dozen of the Penn undergrads I played with ruined a chunk of their lives falling into addiction. This included some of the brightest academic superstars (and some of the best poker players in the school.) I had moments of “degeneracy” but never fell down the slope into the chasm. I was never drawn to volatility for its own sake; I needed to think I had “edge” in every bet, and was honest enough with myself to not fool myself for very long when that wasn’t the case. For many others, they craved the “gamble” itself. The common pattern was first they’d chase the allure of easy money and quick ego wins. As losses accumulated, that turned into deceptive behavior, to their families and friends…and to themselves. In the most extreme cases, stealing from friends and family. The reality is that 95%+ of gamblers (including poker players) lose. The house’s small edge adds up bet after bet eventually leaving most bettors with nothing. How did I do in poker? My headline results were good for an amateur college student. I made $25k a year doing it as a hobby in college. But…that “hobby” cost me ~500 hours a year; while my parents paid for an elite and expensive college. A pretty bad return on time in my context. I installed software that tracked my poker results closely in my last year. The astounding result - I made $30k in profit…while paying online casinos $120k in rake. In hindsight, I’d still have played poker, but I’d have cut the hours by 90%. Poker taught me a ton about game theory, probability, psychology, and…life. It led directly to my first (great) job out of college at a trading firm. But all of that good came from the first 100 hours. I wasn’t learning or gaining anything playing for the 16th hour straight at 3 am. Celebrating degeneracy is either cope, or just marketing for the casino. https://t.co/n8R6XHfZNI
211121467.1K
AI:偏主题投资表达,释放对基础设施与新叙事的偏多信号。
Ari Paul@AriDavidPaul · 14 天前政策影响Only if they get to act like a cartel which requires government regulation. Otherwise, competition forces them to increase housing supply. Whenever you have dozens of competing suppliers, with no single supplier having >30% of the market, they can’t benefit from reducing supply. It’s a classic prisoner’s dilemma. In theory they might win to reducing supply, just like labor might win to demanding higher wages in aggregate. But there is no aggregate without government intervention. Union laws force joint negotiating in some areas for labor. Nothing like that exists for landlords, so they compete tooth and nail to maximize earnings, which means putting everything on market that they can. Exceptions are rare and irrelevant in aggregate. Why is there a housing affordability crisis? Because NIMBY’ism and government regulation have blocked/reduced housing construction.
00020
AI:偏政策推进,强调合规落地与规则明晰,对监管主线更敏感。




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