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#つばきファクトリー# #YBSラジオ# radiko推進キャラクターに就任🎊🎉 まもなく #谷本安美# #小野田紗栞# #豫風瑠乃# #石井泉羽# の4名が #TOOMUCH#!! に出演📻 ぜひお聴きください✨ #tmybs#

Elon Musk: "The biggest mistake I made is to put too much of a weighting on somebody's talent and not much on their personality, it actually matters whether somebody has a good heart."

MNCHRMS WANTED FILES FILE #5821# — THE CROAK Last seen: The Ordinals Court Offense: Croaked once. Saw too much. Reward: [0.0051 BTC] Rarest traits: Frog Hat · 35/10,101 · 0.3% — ULTRA RARE Laser Eyes · 147/10,101 · 1.5% — RARE Scalp Tattoo · 202/10,101 · 2.0% — RARE Faction: The Crown Line Black. White. Bitcoin. #MNCHRMS# #Ordinals# #BitcoinArt#

Hats off to the near team. i still remember back in the days, people laughed at them for changing narratives too much but all i'm seeing is that the founder and team continue to grind and build product that they believed are correct Stretch the timeline long enough, and every building block compounds.

＼📻️生出演中！／ #YBSラジオ# TOO MUCH!!に #谷本安美# & #河西結心# が出演しています🎧️ #つばきファクトリー# #tmybs#

Microsoft just banned its own engineers from using AI. The tool was literally costing MORE than the humans it was supposed to replace. They lied to you about AI adoption and now the whole narrative is blowing up: Microsoft gave thousands of engineers access to Claude Code six months ago and encouraged them to use it. Engineers loved it and adoption exploded. But then the invoices arrived. Token-based pricing means every query, every code review, every debugging session costs money. At scale across 100,000 engineers, the numbers became so large that Microsoft issued an internal order to cancel nearly all Claude Code licenses by end of June and force everyone onto their own cheaper tool instead. The company that invested $5 billion in Anthropic just told its own people to stop using Anthropic's product because it costs too much. Uber's story is even worse... Their CTO Praveen Neppalli Naga told The Information that the budget he planned for the full year was "blown away already" by April. Uber had rolled out Claude Code in December 2025. By March, 84% of their 5,000 engineers were using it with 70% of all committed code coming from AI systems. Heavy users were burning $500 to $2,000 per month each. Naga himself spent $1,200 in a single two-hour demo session. The company had even built internal leaderboards ranking engineers by how much AI they used. They literally gamified the spending and then ran out of money. Now look at what Nvidia's own VP of applied deep learning Bryan Catanzaro said to Axios last month. Direct quote: "For my team, the cost of compute is far beyond the costs of the employees." This is a VP at the company that SELLS the chips saying that using AI is more expensive than paying humans. Think about what this means for the entire AI narrative. Every CEO on every earnings call for the past two years has said the same thing: AI will make us more efficient, reduce headcount, and cut costs. The stock market rewarded every company that said it. Fired workers, stock goes up. Announced AI adoption, stock goes up. But the actual companies deploying AI at scale are discovering the math doesn't work. The MORE employees use AI, the HIGHER the bill. Goldman Sachs forecasts a 24x increase in token consumption by 2030 as companies adopt AI agents. Gartner just published a report showing that even though individual token prices will drop 90% by 2030, total enterprise AI costs will go UP because agents consume exponentially more tokens per task than basic tools. Meta built an internal dashboard called "Claudeonomics" to track which employees use the most AI. Amazon started pushing engineers to "tokenmaxx," their internal term for consuming as many AI tokens as possible. Both companies are spending hundreds of billions on AI infrastructure this year alone. And Microsoft, the company that bet its entire future on AI, just told 100,000 engineers to stop using the tool they liked best because the per-token bills got out of control. The companies building AI are telling investors it saves money. The companies using AI are finding out it costs more than the humans it was supposed to replace. And even the company that makes the chips just admitted it through its own VP. This is the gap nobody on Wall Street is pricing in. $725 billion in AI infrastructure spending this year across Big Tech. And the first companies to actually deploy these tools at scale are already pulling back because the economics don't work. What do you think?

One fascinating consequence of GLP-1s/Ozempic: For decades, people said that big pharma would never release actually effective obesity drugs because they’d lose too much money from downstream chronic disease treatment. We’re seeing almost the exact opposite.

Chris Hohn did a 90-minute sit-down with Nicolai Tangen and then dropped an investor letter the FT got hold of last week. You’d think the guy who printed a record $18.9B last year would be doing victory laps. Instead he’s quietly rewiring his whole portfolio. My favorite takes from both: 1.The most important thing in investing isn’t growth. It’s barriers to entry. Growth without a moat is the airline industry: 5% volume growth for 100 years and basically zero cumulative profit. 2.There are only about 200 companies on earth he considers high-quality and investable. His fund holds 15. 3.Average holding period: 8 years. Some positions 13. “You have to hold the company forever, because the stock market may be at very bad prices when you want to sell.” 4.His real test for a moat: can the company price above inflation? A 20% margin business that prices 1% above inflation grows profits 5% faster than revenue. Forever. Almost no companies can do this. 5. Industries he won’t touch: banks, autos, retail, insurance, tobacco, asset managers, fossil fuel utilities, airlines, wireless telecom, media, advertising. On banks: “sooner or later someone without a lot of intelligence comes to run them, and then it can be toxic.” 6.On AI generally: call centers go bankrupt. Indian outsourcing coders are next. But for everyone else, AI lowers costs and raises productivity. Companies with real moats become MORE valuable. 7. Here’s the punchline. The FT got hold of his investor letter. He cut his Microsoft stake from 10% of the fund to 1%. Roughly $8B sold. He’d held it since 2017 through a 400% rally. His reason: AI could disrupt Office and Azure faster than the market thinks. 8.He moved that capital into Alphabet. Doubled it from 3% to 5%. Now his largest tech position. The world’s best quality investor sold Microsoft and bought Google because he thinks Google’s moat is more durable in an AI world. Not the consensus trade. 9.The underlying thesis: “AI eats software.” If AI agents do the work humans used to pay per-seat SaaS licenses for, the whole SaaS model gets re-rated. Oracle, Adobe, Salesforce all ~40% off highs. Microsoft 25% off. Market is starting to agree. 10.When to sell? Not when something gets expensive. When conviction drops. Valuation is one variable, conviction is the other. What kills you isn’t being wrong, it’s permanent loss of capital. 11.He admits hardcore activism doesn’t work anymore. Too much of the shareholder base is passive index funds. And even when activism wins, you usually win in a bad business. “The business always wins.” 12.Counterintuitive take: there are more good companies in public markets than in private equity. The best businesses are too big for PE to buy. And when public companies sell something to PE, they’re selling the assets they want to get rid of. 13.On intuition: “thinking without thinking.” Pattern recognition from 20 years of reps. It’s how he sniffed out Wirecard while the German establishment was defending it. “Most investors trust authority too much.” 14.He basically stopped shorting. “You’re going to be eventually right but not be able to fund the losses.” The first guy to short Wirecard had to cover 19 years before it hit zero. Buffett told him he and Charlie studied shorting and concluded it was too hard. 15.He gives almost everything away. ~$500M a year. $10 prevents an unwanted pregnancy in Africa. $40 saves a child from severe malnutrition. $50 prevents permanent blindness. 16.Tangen asks: advice to young people? Hohn, who runs the world’s most profitable hedge fund: “Go on a spiritual path.” The guy who made $18.9B last year ends the interview saying only purpose and meaning matter. The headline: the world’s best quality investor just sold his biggest tech compounder because he thinks AI is breaking the moat. Quietly, with conviction, on an 8-year horizon, while everyone else is still buying the AI winners of 2023.