Dan Loeb: The Lost Art of Short Selling, and Why Stock Picking is Back

Dan Loeb: The Lost Art of Short Selling, and Why Stock Picking is Back Dan Loeb: The Lost Art of Short Selling, and Why Stock Picking is Back (0:00) Dan Loeb joins the Besties! (0:34) Investor journey: From message boards and trolling Wall Street to a multibillion dollar hedge fund (3:15) Third Point's early days: mentors and market turmoil (8:47) Strategy shift: Event-driven to quality and AI (16:01) The art of short selling and a homebuilder trade (22:15) Criminal justice reform and the Ross Ulbricht pardon Thanks to our partners for making this possible! EY - Agentic AI is introducing a new investment discipline. As AI shifts to consumption-based models, EY connects spend to enterprise value. https://www.ey.com/en_us/insights/ai/agentic-ai-token-costs?WT.mc_id=3501318&AA.tsrc=sponsorship NYSE - Thank you to our partner, the New York Stock Exchange - a modern marketplace and exchange for building the future. It all happens at the NYSE. https://www.nyse.com Plaud - Never miss a moment. Plaud, our official wearable AI note-taking partner at All-In Liquidity Summit, captured every insight. https://www.plaud.ai Follow Dan Loeb: https://x.com/DanielSLoeb1 Apply for Summit 2026: ⁠https://allin.com/events⁠ Follow the besties: https://x.com/chamath https://x.com/Jason https://x.com/DavidSacks https://x.com/friedberg Follow on X: https://x.com/theallinpod Follow on Instagram: https://www.instagram.com/theallinpod Follow on TikTok: https://www.tiktok.com/@theallinpod Follow on LinkedIn: https://www.linkedin.com/company/allinpod Intro Music Credit: https://rb.gy/tppkzl https://x.com/yung_spielburg Intro Video Credit: https://x.com/TheZachEffect #allin #tech #news of course is the CEO and CIO of Third >> The lost art of shortselling has come stock pickers market. This is a bond and And really shortly that thereafter uh long before Reddit or any of these other >> Well, some people use the term OG. Sometimes I say I was the OT. Um on the short side. I mean, there's so Act Trade that I remember run by a guy created a new technology called TADS I don't remember what TAD stood for, but AUM. your multistrat, but you learned at books and make cold calls. And I think passed. I would trade um options on >> Yeah. Ran the ARB desk there and he had depressed projections and ride along not just the um well we got to ride along a margins and roe and everything else until the GFC I think you could be more working as a a sales rep for wireless RF ABG compatible for Wi-Fi base stations. long short credit is both structured credit and high yield. We have a CLO did. We did a PNC company, but this one revenue so maybe could you tell us how know IBM or you know some of the other >> AOL >> AOL Well, Yahoo, you know, you say the opportunities on the short side in the long time how do you start top down is by shorts that have dumb valuations, but were all pretending to be NVR which is and buyers are no longer able to pay been short on things related to that. or you know more robust revenue. sold all our stock in the 20s. Huge in in Nphase and we um sold some stock stock I think had we stayed on would on a board and you can't sell and you just hold on to that stock forever. like the upside was to 100. And things its dominant position and its valuation >> Yeah, absolutely. On earnings over the the long short pods are structured such that they have to be short something. So Nvidia feels like a safe short by the way Google was a safe short um Amazon was a safe short. So I mean this just

Podcast-style discussion covering: (1) US policy/regulatory pressure around open-source AI vs closed models (Anthropic/OpenAI) and China model progress (Kimi K3); (2) a reported ~$1.5B Anthropic piracy/IP settlement (private company) and broader IP enforcement risk; (3) public-market reaction to surging AI capex with Google and Tesla cited as “tanking”; (4) NYC political rhetoric around evictions/property rights (potentially negative for exposed landlords/NYC CRE sentiment). Actionability is moderate: investable angles are mainly via hyperscalers/AI supply chain and China internet/AI proxies; many primary entities discussed (Anthropic/OpenAI) are private.

Mark Cuban compares the current AI market to the dot-com bubble, arguing that many AI-linked companies with weak fundamentals could get "wiped out" while real, revenue-producing platforms and infrastructure winners persist. He highlights enterprise AI adoption as harder-than-expected (integration, workflows, ROI, data/privacy), discusses a shift to AI-first work, and mentions healthcare/biometrics as a longer-horizon opportunity area. Actionability is moderate because the content is thesis-level and not tied to specific catalysts, but it maps cleanly to a "quality AI vs. hype AI" positioning framework.

Only a headline is provided (no article detail), so actionability is limited. The title suggests: (1) AI industry self-regulation vs impending formal regulation, (2) Stripe potentially moving deeper into PayPal’s core markets (payments/merchant services), (3) Chinese AI capability closing the gap, and (4) New York policy restricting datacenter development/operations.

Messy transcript-style discussion: former Intel CEO critiques Intel’s past capital allocation (stock buybacks vs buying EUV tools), highlights how Nvidia/TSMC out-executed Intel (GPU/SIMT compute shift; foundry scale/process progress; ecosystem standardization + EDA tooling). Second thread references “vibe coding”/AI-assisted software creation and the possibility of new software entrants building on hyperscaler infrastructure (AWS mentioned).

The provided source contains only a title and no substantive body content, so it offers limited actionable signals. The title implies AI disruption in (1) voice/voice agents, (2) legal services workflows, and (3) pricing pressure on time-based professional services ("end of the billable hour").

Only a headline is provided (no article body/details), so actionability is very limited. The title suggests: (1) renewed IPO/mega-IPO optimism, (2) very bullish private AI valuation talk (Anthropic), (3) Meta/Zuck initiating or escalating a “price war” (likely in ads, AI services, or consumer subscriptions), (4) potential China policy shift affecting open-source software, and (5) “Trump accounts” (likely Trump Media / platform monetization or regulatory/account reinstatement news).

Transcript-style discussion about open-source AI models, multimodal generative tooling, and rising demand for AI compute/data centers (explicitly mentioning AWS wanting more data centers). Also references frontier-model claims ("AGI is here"), regulatory/compliance contexts (HIPAA/FINRA), and partnerships/geography (UAE/G42). Actionable market signal is mainly the continued capex cycle for AI compute and data-center infrastructure; the rest is largely narrative and non-specific.

The provided source contains only a headline (repeated) with no supporting details, numbers, timing, or confirmed facts. Actionability is therefore very low; any trade mapping is speculative and should be treated as a watchlist prompt rather than a signal.