Part of one of the best FREE discords around (Sweat Nation Trading) and having fun! Not Financial advice. Don't/never follow my trades. Just watch shite go up!
🚨Recap: Lot of New Traders Struggled today , So I spent Friday evening to make this video! Watch it and you will never struggle again and make profit on red day! HagW!❤️
> Understand Trend $SPY
> Why Selloff?
> Ripster Clouds
> How to Short $TSLA
> Investors vs Traders?
On this day in 1896, Charles Dow published his first index of purely industrial stocks in The Wall Street Journal. Twelve companies, one average: 40.94 points. The original list included American Cotton Oil, American Sugar, American Tobacco, General Electric, and eight others that no longer exist. GE lasted on the index until 2018, 122 years. The rest were gone within decades.
Dow already had a railroad average running since 1884, but rails were the old economy by the 1890s. The new money was in manufacturing, refining, and consumer goods. He built the industrial average to track that shift. The math was simple: add the stock prices, divide by 12. No weighting, no float adjustment, nothing resembling modern index construction.
The Dow was never a great measure of the market. It's price-weighted, which means a $300 stock moves the index more than a $30 stock regardless of company size. The S&P 500 replaced it as the professional benchmark decades ago. But Dow gave people a single number to track, and that number became the scoreboard. 130 years later, cable news still leads with it every night.
🦔Uber's COO Andrew Macdonald said on Saturday that the company is having a harder time justifying its AI spend. After CTO Praveen Neppalli Naga went viral in April for admitting Uber burned through its 2026 Claude Code budget in four months, senior engineering leaders concluded higher token usage was not translating into proportionally more useful product.
Macdonald said the link between AI consumption and shipped features is "not there yet." CEO Dara Khosrowshahi confirmed on the earnings call that Uber is slowing hiring to fund its AI spend. Duolingo also walked back its decision to include AI usage in performance reviews last month.
My Take
Uber is the first major enterprise where the C-suite has publicly admitted, on the record, that the AI productivity story is not closing for them. That matters because Uber is not a skeptic. The company went all-in on AI tooling, set internal targets, and burned through its annual research and development budget in four months trying to make it work. The conclusion from the people running the experiment is that tokens consumed and value shipped are not the same number, and management is finally noticing.
Duolingo's reversal lands in the same week for a reason. CEO Luis von Ahn said employees were asking whether they needed to use AI just to use AI, which is Goodhart's Law showing up in a performance review system. When usage becomes the metric, employees optimize for usage, not output. Microsoft canceled internal Claude Code licenses, Google AI Pro stripped credits from paid subscribers, and now Uber is admitting the ROI does not close at scale.
The narrative has shifted in the last 30 days from "AI productivity is here" to "AI productivity is harder to measure than we thought." The companies pushing tokenmaxxing internally are now the same companies signaling cost pressure externally. The IPO calendar for OpenAI and Anthropic is going to get a lot more complicated if the largest enterprise customers keep saying this out loud.
Hedgie🤗
REMARKABLE! A 7-year-old boy has reached the summit of California’s El Capitan. Joey Danger Evermore climbed the 7,573-foot granite monolith in Yosemite National Park, becoming the youngest person to complete the feat since his older brother accomplished it at age 8 in 2022, according to a family representative.