Key takeaways from yesterday's @GammaSummit panel with @ag_dwf @Richard88488054 @jshinny12 @amitochu and Julie Schoening on capital markets, risk, and the crypto x AI convergence. The two worlds are merging. If you're pure crypto or pure TradFi, you'll need to figure out how to do both. The best firms will be the ones that can balance between the two and flow between markets. Offshore is coming onshore, but who eats the loss in a default? Offshore-style products are now reaching US consumers through regulated brokers. But offshore venues lack TradFi's CCP guarantee fund structure, so end customers effectively are the guarantee fund. Fund segregation also can't be verified offshore. FTX's lessons shouldn't be relearned onshore. Blockchain has been "brewing in the background." While AI took the hype, blockchain companies kept building. We're seeing a strong institutional push into tokenization, especially in Korea. Bear markets reward fundamentals, bull markets reward narratives. Where we're investing? AI side: energy and data centers (plus colocation). Crypto side: stablecoins, payments, and trading platforms (24/7 trading), along with the supporting infrastructure. Emerging markets. Stablecoins fill a real gap in access to stable currency across Latin America, Africa, and parts of Asia. The gaps that remain are on/off ramps, local banking compliance, and cross-border wallets. Incumbents like Stripe are buying rather than building. What real disruption looks like. It means building something entirely new, not polishing existing systems. DeFi is the example: permissionless lending and borrowing in seconds has materially changed how capital is allocated globally. Crypto's structural edge is unsurpassed. 24/7 settlement. Payment and settlement stacks compressed into a more efficient flow. And when everything has a market and a price, net new products open up, like insurance for niche risks. The bottom line? The convergence of crypto and AI is the largest private market opportunity ahead.

people hiring right now: - @ZachBDell - @alexpareto - @simon_mo_ - @paddy_dex - @jrdntgn - @domschats - @Just_Joshing - @itsalijavid - @martabralic - @ShrutiGoli - @kristianfreeman full list here:

🚨🇺🇸 The polls have missed Trump voters in three straight elections. What if this time the miss runs the other way? Emily Jashinsky, host of @afterpartyemily and a Washington correspondent for UnHerd, says the MAGA case for Tuesday rests on the usual two point polling error in Republicans’ favor, and she thinks that bet is shakier than it looks: “Trump comes into office, prices go back up and we’re back in a war. Those may be the people who flipped.” Emily says the rural voters pollsters can’t reach are the same Obama-to-Trump voters who wanted anything but the status quo, so the hidden vote could cut toward Democrats this time. She points to Republicans themselves: they’re pulling money into Kansas and South Carolina, which means their own internals are saying something is wrong. Her forecast is the Senate gone and a real House loss, with Michigan’s Mike Rogers first on the list of candidates who blew it. @emilyjashinsky @WeTheBrandon

EP3 of The OFR House now available in full video! 😎🤑Watch @IOSGVC's managing partner @momir_amidzic and principal @jshinny12 go head-to-head in the complete conversation!💸💰 From Bitcoin's macro struggles to Solana's identity crisis, from the Altcoin massacre to the Perps shakeout, these topics hit harder when you see the discussion unfold!🚀🚀 📺🎧Now on: YouTube: Bilibili: Spotify: Apple: Xiaoyuzhou:

🚀Our first English episode is LIVE. Crypto’s Honest Reckoning: @IOSGVC on What Failed, What Won & What’s Coming in 2026 EP3 of The OFR House: our Managing Partner @momir_amidzic and Principal @jshinny12 break down crypto's reset year and what actually matters next: 💰 Bitcoin & Macro Risk 💸 Ethereum's Comeback Story 📖Solana's Identity Crisis 📉The Altcoin Apocalypse 📊 Perps: Who Survives? 📈 Prediction Markets' Moat 🔮 2026 Predictions 🎧Listen now on Spotify: Apple Podcasts: Xiaoyuzhou:

This summer, we brought in two first-year Waterloo interns (‘rising sophomores’ in 🇺🇸) and tasked them with shipping complex production features that help push the frontier of our document processing and extraction capabilities. Yash created a dashboard that allowed customers to better understand the distribution of documents flowing through the system - and gives us anonymized metrics that we can use to improve our own capabilities. Jishnu helped to do deep research into grounded confidence scores for all of our document extraction capabilities. These scores are a lot more calibrated to real uncertainty about any value being extracted compared to our earlier implementation, allowing customers to trigger HITL in the right places within their document workflow. More on this coming soon 🙂 Outside of work, I have fond memories of watching the Knicks final game 4 with them (the one where the Knicks came back down 29 points). We’ve historically brought on full-time engineers with a bit more experience, but Yash and Jishnu ramped up extremely quickly and exemplified the high-agency, high-energy scrappiness that we look for in anyone joining the @llama_index team. They weren’t old enough to drink but old enough to ship production code 😂. We’re so happy they spent time with us so early in their careers, and wish them the best with the next 4 years of school. If you’re young but cracked, we’d love to chat. We’re hiring across *a lot* of roles across product/engineering/research (as well as growth and GTM). Careers page:

History’s Deadliest Leaders: Deaths from Wars, Genocides and Famines ☠️ 🇨🇳 Mao Zedong (1943–1976) – 80 Million 🇷🇺 Joseph Stalin (1924–1953) – 60 Million 🇲🇳 Genghis Khan (1206–1227) – 35 Million 🇨🇳 Hong Xiuquan (1850–1864) – 30 Million 🇩🇪 Adolf Hitler (1933–1945) – 25 Million 🇺🇿 Tamerlane (Timur) (1370–1405) – 17 Million 🇯🇵 Hideki Tojo (1941–1944) – 14 Million 🇧🇪 Leopold II (1885–1908) – 10 Million 🇹🇼 Chiang Kai-shek (1928–1949) – 9 Million 🇷🇺 Vladimir Lenin (1917–1924) – 5 Million 🇰🇵 Kim Il-sung (1948–1994) – 3 Million 🇰🇭 Pol Pot (1963–1981) – 2.9 Million 🇳🇬 Yakubu Gowon (1966–1975) – 2.8 Million 🇵🇰 Yahya Khan (1969–1971) – 2.7 Million 🇹🇷 Enver Pasha (1913–1918) – 2.5 Million 🇮🇶 Saddam Hussein (1979–2003) – 2 Million 🇪🇹 Mengistu Haile Mariam (1977–1991) – 1.5 Million 🇦🇴 Jonas Savimbi (1975–2002) – 1 Million 🇸🇾 Bashar al-Assad (2000–2024) – 600 K 🇺🇬 Idi Amin (1971–1979) – 500 K Sources: R.J. Rummel (Death by Government), Matthew White (Necrometrics), Stéphane Courtois (The Black Book of Communism), Timothy Snyder (Bloodlands), Frank Dikötter (Mao’s Great Famine), Robert Conquest (The Great Terror), Adam Hochschild (King Leopold’s Ghost), Yang Jisheng (Tombstone), Jung Chang & Jon Halliday (Mao: The Unknown Story), United Nations reports.