Book I'm Reading
As I read these biographies of various U.S. Presidents through history, there’s one obvious takeaway: upper-level leadership can be the loneliest role in the world. Few people have felt the burden of leading at this level.
Podcast I'm Listening To
Cue this one up for your weekend. @LynAldenContact returns to talk macro, the AI stock boom, housing, whether gold has peaked, the growing cybersecurity risks to Bitcoin, and her bull/base/bear cases for BTC in 2036. Thank you for joining me Lyn! CHAPTERS: 00:00 Trailer 00:55 Social media algorithm trap 5:52 AI bubble or boom? 12:28 Midterm crash ahead? 15:36 Weak gold outlook ahead? 25:40 The boring force moving markets 33:44 Could we see 3% mortgage again? 38:36 Gradual Print vs crisis 44:07 Will AI crack Bitcoin? 51:13 The $130K Bitcoin disaster 53:54 Digital credit and $MSTR 1:00:48 Lyn reflects on past calls 1:03:29 Orange Juice vs. private equity 1:11:24 Fading the bond bears 1:13:34 Bitcoin in 2036
— Natalie Brunell ⚡️ (@natbrunell) October 30, 2026
Tweets I'm Reading
There is nothing special about this pullback. Much of the panic surrounding neoclouds, AI capital expenditures, and the sustainability of the infrastructure buildout is simply the market searching for explanations for falling stock prices. When AI stocks were rising, record capex was evidence of extraordinary demand. When those same stocks started falling, suddenly the same spending became evidence of an impending financial disaster. One fact with two interpretations that depend entirely on the price action of the market. Go back to August 1998. The technology bull market had been running for about three years.Amid fallout from the Asian financial crisis and Russian ruble crisis, earnings expectations were deteriorating, valuations were elevated, and investors were becoming increasingly concerned about unprofitable Internet companies. On August 6, the New York Times published an article titled “Market Gyrations May Point to Shift in Investor Strategy.” One fund manager declared, “Boring is going to outperform sexy.” Investors were supposedly abandoning momentum and speculative technology shares in favor of profitable businesses, balance sheets, dividends, and traditional valuations. Russia defaulted on its debt. The Asian financial crisis was spreading internationally. The yen carry trade had imploded as the USD plunged 8% against the yen in a single day. US embassies were being bombed. President Clinton ordered missile strikes against Afghanistan and Sudan while simultaneously facing a scandal that would result in his impeachment. Major financial institutions suffered enormous losses, and the spectacular collapse of Long-Term Capital Management threatened the stability of the global financial system. Corporate earnings forecasts were falling. Investors feared a U.S. recession. Many of the same technology companies that had driven the bull market were now leading the decline. Many of them had fallen 40-60% from their 1998 highs. Even the Federal Reserve’s first interest-rate cut on September 29 initially disappointed investors. The Dow fell that day and plunged another 238 points the following session. The news seemed almost uniformly terrible. But the market didn’t care forever. After a violent reversal in early October, improving confidence in corporate earnings, Japanese banking reforms, and a surprise emergency Fed cut on October 15 helped restore risk appetite. By November, the Dow was making new all-time highs. Internet stocks were exploding higher again. What had looked like the end of the internet trade was, within about a month, actually a correction preceding one of the most extraordinary speculative advances in stock-market history. In today’s market, Microsoft just reported 48% Azure growth. Google Cloud revenue more than doubled. Meta expects $135–145 billion in capex this year and has announced plans for a potentially record-sized $97.5 billion equity capital raise. If the market really was that concerned over capex spending, instead of using it as an excuse to explain the pullback, the market would have sold off on the META news. Anthropic has now filed its IPO registration statement. We have midterm elections approaching, another consequential round of earnings, and a Fed that just held rates steady even as another hike is widely anticipated in December. There are plenty of potential catalysts over the coming two months. More importantly, this does not resemble the sentiment backdrop of a speculative bubble climax. Generational bull markets don’t die midway through a basing period, but typically after euphoric saturation and a parabolic rally in leading names. Consensus on AI is deeply divided. Being loudly anti-AI has practically become fashionable. Some AI critics have even built enormous audiences around the idea that the economics of the industry are unsustainable. Plenty of investors seem almost eager to watch the entire trade collapse. That isn’t the sentiment or narrative around which tops are typically made. The Internet trade didn’t end in the panic of 1998. It ended after the extraordinary acceleration of 1999 and early 2000 when being bearish was the market equivalent of wearing a dunce cap. History never repeats perfectly, and today’s rate environment is very different. But I think the resemblance in investor psychology is striking. I’d be genuinely surprised if we don’t have at least one more months-long rally into new highs during this cycle. Whether it begins into the midterms, after the elections, around Anthropic’s anticipated listing, or following further earnings confirmation, I suspect this correction will eventually look more like an interruption in a generational bull market than the bursting of a “bubble.” The $NDX took four months to bottom in 1998. With the exception of a handful of leaders, most stocks that are holding up have been basing out since the May-July period. We could certainly go lower, but most of the signs point to another new high before this cycle rolls over. However, I’d place the odds of any additional powerful rallies afterward as increasingly unlikely given the fact we are already about to enter the fifth year of this bull market. I’d be careful about buying the dips next year, at least with meaningful size.
— Curbstone Research (@lesse_jivermore) October 29, 2026
Why are you doom scrolling on a Saturday? My GrokBot @bot watches the entire world and makes these reports every few hours. Not very pretty, but if you go through each of these you will learn everything that is happening in the world right now, from general news to what’s happening in robotics, neuroscience, EVs, and much more. Reads about 100,000 posts a day. Let your GrokBot doom scroll for you. So you can go to the Halloween Party and still know everything. https://t.co/oZyfpVOvpM And if you are only into AI, it feeds all that to my Aligned News: https://t.co/zleMXMaSi9
— Robert Scoble (@Scobleizer) October 31, 2026
here’s a short grok bot guide on how i create high quality bots and manage my team. ask @bot to read this post and help you improve your team! • add dr eggbot to your team! he’s my bot designer that i use to create bots • you don’t need a lot of bots. a few good bots can be more useful and easier to manage than a large team • tell your bots to create skills for itself as you give it instructions on how to do tasks. this lets them do them more consistently even over long conversations. you can even ask it to create a private github repo for you to store all your skills if you want them preserved independently • add connectors, use the vault, and give access to all the tools you use to do your work. you can also ask your bot to setup its own email and it can sign up for its own accounts for better separation • thinking about all the work you do by hand, or steps in your workflows where you have to copy and paste information back to your bot. ask your bot how it can do that for you instead! • imagine you hired an intern, how would you onboard them and help them do the work correctly and efficiently? introduce yourself to your bot and describe the work you do, then ask it how it can help you automate it and my favorite tip: use voice mode or the transcription option! it’s a good way to just brain dump a lot of information. then, at the end, tell your bot to “restate this in your own words” so you can confirm it understood you https://t.co/ajrjeHdzUO
— lauren (@poteto) October 31, 2026
Explaining how the 𝕏 algorithm (actually) works. Once you understand this, you can reverse-engineer virality. 0:00 Intro & why listen to me 1:25 How to think about "gamifying" the 𝕏 algo 3:01 The three algorithms: Thunder, Phoenix & Simcluster (intro to algo 1, Thunder) 3:30 Phoenix, Algo 2: the key to going viral 4:20 Simcluster, Algo 3: how niches on 𝕏 work 5:28 The Judge: how 𝕏 scores posts (point system) 8:48 The Bouncer: what gets filtered 11:14 Actionable advice
— Ryan (@ryangrowthh) November 1, 2026
If you have feedback for me, if something resonates and you want to see more of it, reply in the comments below. You can also tweet at me on X @the_cody_hall.
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