Podbit · Schwab Network
Treasury Secretary Scott Bessant has warned the U.S. could sanction Chinese AI companies for improperly using American AI models. The warning comes after Anthropic told the Senate that Alibaba executed what it called the largest known distillation attack against it to date.
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At 2:38 · chapter starts 1:25
The numbers behind SpaceX's short-selling frenzy are staggering. According to S3 Advisors, approximately 260.6 million shares are now sold short — about 32% of the company's publicly tradable float, representing roughly $25 billion in notional bearish bets. [1] — Marley Kayden "Short interest in SpaceX has surged from roughly 6% of the public float just a month ago to 32% today, representing $25 billion in notional…" 01:25 Just a month ago, that figure stood at around 40 million shares, or about 6% of float. The speed of the buildup is extraordinary by any measure. Despite CEO Elon Musk's publicly issued warning that short sellers 'won't survive,' the bearish positioning has only accelerated. Adding to the pressure, SpaceX shares have now fallen close to half from the company's intraday peak of $225.64 on June 16th, and nearly 40% from the all-time closing price of $211.39 on that same date — a brutal drawdown for a company that only recently went public.
According to S3 Advisors, about 260.6 million SpaceX shares are sold short, representing roughly 32% of the publicly tradable float.
Short interest in SpaceX has surged from roughly 6% of the public float just a month ago to 32% today, representing $25 billion in notional bearish bets. That's despite CEO Elon Musk warning short sellers they 'won't survive.'
The notional value of short bets against SpaceX has reached approximately $25 billion, up sharply from the prior month.
SpaceX short interest surged from an estimated 40 million shares (about 6% of float) to roughly 260.6 million shares (32%) in just one month.
As of Tuesday's close, SpaceX shares have fallen nearly 40% from their all-time closing price of $211.39 set on June 16th.
The fastest path to Twitter growth isn't volume — it's forming sharp opinions about how the platform works and sharing them immediately. People cluster around those who understand the rules and say so out loud.
More connectivity doesn't produce more independent thinking — it produces more homogeneity. Kierkegaard called this 'leveling': the internet's utopian promise of everyone thinking for themselves is backwards. The more interconnected people are, the stronger the phantom of public opinion, and the more of a liability it becomes to stand out.
Sam had no coding knowledge, so he used ChatGPT voice mode to generate his entire codebase and copy-pasted it into Notepad. A friend later introduced him to Cursor, and he never looked back.
Copy days of Discord chat history, paste it into ChatGPT, and ask it to list recurring pain points. The ones that come up most often are your best product bets.
Sam's top advice: when prompting Cursor, tell it to architect code for 100,000 users from day one. The AI changes its approach, building scalable frameworks instead of brittle one-user code.
With AI coding tools like Cursor, Bhanu replicates an existing free tool for a new keyword in under 5 minutes. What used to be a multi-day build is now a lunch-break task.
Ahrefs, SiteGPT, Cal.com, PostHog, Datafast, Sibyl AI, Bento, Feather, Featurepace, Mintlify, Cloud Code, ChartMogul — Bhanu runs his entire business solo with these 12 tools.
PropGPT runs on React Native with TypeScript and Python for ML, Neon for the database, RevenueCat and Superwall for monetization. LLM costs are $20/month, data APIs $100/month, and after $10K in monthly marketing spend, margins sit at roughly 50%.
Game apps keep users engaged long enough for ads to pay off. Tool apps don't — so if you're building a utility, ads are almost always the wrong call and subscriptions are your only real lever.
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