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Hedgie

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🦔 Making financial nonsense make sense, one prickly take at a time 🦔 | Weekly newsletter: https://t.co/zgdVSm4Iq5 | Not financial advice (I'm a Hedgehog)

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🦔Residents living near AI data centers are reporting constant low-frequency hum measured as infrasound, sound below the human hearing threshold that causes dizziness, nausea, vertigo, and sleep disruption. The noise comes from cooling systems and onsite gas turbines hyperscalers are building behind-the-meter to bypass slow grid interconnects. Local zoning rules do not regulate infrasound because traditional noise ordinances only measure decibels in the audible range, leaving residents with no legal recourse. The video below captures what households near these facilities are living with around the clock. My Take The infrasound problem does not exist in the regulations because the technology producing it at scale did not exist when the rules were written, and developers know exactly which rural jurisdictions lack the framework to push back. Households who bought before the data center was announced get to choose between selling at a loss or living with symptoms that did not exist a year ago, and that cost is being externalized onto people who never agreed to host critical infrastructure for the AI buildout. Hedgie🤗

🦔Residents living near AI data centers are reporting constant low-frequency hum measured as infrasound, sound below the human hearing threshold that causes dizziness, nausea, vertigo, and sleep disruption. The noise comes from cooling systems and onsite gas turbines hyperscalers are building behind-the-meter to bypass slow grid interconnects. Local zoning rules do not regulate infrasound because traditional noise ordinances only measure decibels in the audible range, leaving residents with no legal recourse. The video below captures what households near these facilities are living with around the clock. My Take The infrasound problem does not exist in the regulations because the technology producing it at scale did not exist when the rules were written, and developers know exactly which rural jurisdictions lack the framework to push back. Households who bought before the data center was announced get to choose between selling at a loss or living with symptoms that did not exist a year ago, and that cost is being externalized onto people who never agreed to host critical infrastructure for the AI buildout. Hedgie🤗

197,853 次观看

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🦔Workers in India are wearing head-mounted cameras for 12 cents an hour to collect training data for humanoid robots. The footage of them doing everyday tasks like cooking, cleaning, sorting, and walking through public spaces gets sold to robotics companies building the models meant to replace those same kinds of jobs in higher-wage countries. The arrangement has been running for roughly two years. Workers do not own the data, do not get residuals, and in many cases are not told what their footage is being used to train. My Take The workers wearing the cameras live in a country where robotics automation will hit decades later, so they are training their own future replacements at a delay that hides the consequence from them personally. The companies buying the data are mostly US and Chinese, building humanoid robots aimed at warehouses, retail, and service jobs in countries paying $15 to $25 an hour rather than 12 cents. Robotics companies need motion data that mimics how humans actually move through real environments, and synthetic data has not been good enough yet. Paying 12 cents an hour in Bengaluru is cheaper than running motion capture studios in Boston, and it works at scale because the worker absorbs the cost of the camera, the discomfort of wearing it, and the long-term loss of any rights to their own movement data. The robotics labor market that eventually emerges from this footage will displace far more wages than the data collection cost to gather. That is the trade investors funding humanoid robotics startups are betting will pay off, and the workers in the videos are the ones paying the tab up front. Hedgie🤗

🦔Workers in India are wearing head-mounted cameras for 12 cents an hour to collect training data for humanoid robots. The footage of them doing everyday tasks like cooking, cleaning, sorting, and walking through public spaces gets sold to robotics companies building the models meant to replace those same kinds of jobs in higher-wage countries. The arrangement has been running for roughly two years. Workers do not own the data, do not get residuals, and in many cases are not told what their footage is being used to train. My Take The workers wearing the cameras live in a country where robotics automation will hit decades later, so they are training their own future replacements at a delay that hides the consequence from them personally. The companies buying the data are mostly US and Chinese, building humanoid robots aimed at warehouses, retail, and service jobs in countries paying $15 to $25 an hour rather than 12 cents. Robotics companies need motion data that mimics how humans actually move through real environments, and synthetic data has not been good enough yet. Paying 12 cents an hour in Bengaluru is cheaper than running motion capture studios in Boston, and it works at scale because the worker absorbs the cost of the camera, the discomfort of wearing it, and the long-term loss of any rights to their own movement data. The robotics labor market that eventually emerges from this footage will displace far more wages than the data collection cost to gather. That is the trade investors funding humanoid robotics startups are betting will pay off, and the workers in the videos are the ones paying the tab up front. Hedgie🤗

161,390 次观看 • 27 天前

🦔Found a supercut of Jensen Huang saying "AI" 121 times during the CES keynote. That's about once every minute for two hours. Meanwhile actual business adoption fell to 12%, Dell stopped AI-first marketing because consumers don't care, and Microsoft quietly cut Copilot sales targets in half. The hype machine is working overtime but the receipts aren't matching. I figured we could all use a smile! Hedgie🤗

🦔Found a supercut of Jensen Huang saying "AI" 121 times during the CES keynote. That's about once every minute for two hours. Meanwhile actual business adoption fell to 12%, Dell stopped AI-first marketing because consumers don't care, and Microsoft quietly cut Copilot sales targets in half. The hype machine is working overtime but the receipts aren't matching. I figured we could all use a smile! Hedgie🤗

210,888 次观看 • 5 个月前

🦔Eric Schmidt got booed every time he mentioned AI during a commencement speech at the University of Arizona this week, and Florida executive Gloria Caulfield got the same treatment at a separate ceremony after calling AI "the next Industrial Revolution." An Economist/YouGov poll this week showed 70% of Americans think AI is advancing too quickly, with bipartisan agreement at 68% of Republicans and 77% of Democrats. Only 18% of people aged 14 to 29 feel hopeful about AI per Gallup. A record number of data center projects were canceled in Q1 2026, and Morgan Stanley flagged "public pushback as a binding constraint" on the AI buildout in a note to clients. My Take College graduates booed AI executives at commencement, which is a generational signal with real financial consequences. These are the people who entered the workforce right now, watched entry-level job postings disappear, and got told from a stage that the technology eliminating their career path will make their lives better. The pushback I covered at the community level in Saline, Tucson, Fayetteville, and Lake Tahoe has now reached the demographic level, which means it is no longer just an infrastructure problem, it is a political one. The Morgan Stanley and Jefferies notes are what I want investors to focus on. Wall Street does not flag public sentiment unless it threatens cash flows, and Q1 data center cancellations confirm the trillion-dollar capex story now runs into limits that show up in actual project pipelines. AI executives in private meetings were reportedly surprised by negative public opinion, which tells me how disconnected the labs are from the environment they need to operate in. The AI infrastructure trade is priced for uninterrupted execution, and the public has stopped cooperating with that assumption. Hedgie🤗

🦔Eric Schmidt got booed every time he mentioned AI during a commencement speech at the University of Arizona this week, and Florida executive Gloria Caulfield got the same treatment at a separate ceremony after calling AI "the next Industrial Revolution." An Economist/YouGov poll this week showed 70% of Americans think AI is advancing too quickly, with bipartisan agreement at 68% of Republicans and 77% of Democrats. Only 18% of people aged 14 to 29 feel hopeful about AI per Gallup. A record number of data center projects were canceled in Q1 2026, and Morgan Stanley flagged "public pushback as a binding constraint" on the AI buildout in a note to clients. My Take College graduates booed AI executives at commencement, which is a generational signal with real financial consequences. These are the people who entered the workforce right now, watched entry-level job postings disappear, and got told from a stage that the technology eliminating their career path will make their lives better. The pushback I covered at the community level in Saline, Tucson, Fayetteville, and Lake Tahoe has now reached the demographic level, which means it is no longer just an infrastructure problem, it is a political one. The Morgan Stanley and Jefferies notes are what I want investors to focus on. Wall Street does not flag public sentiment unless it threatens cash flows, and Q1 data center cancellations confirm the trillion-dollar capex story now runs into limits that show up in actual project pipelines. AI executives in private meetings were reportedly surprised by negative public opinion, which tells me how disconnected the labs are from the environment they need to operate in. The AI infrastructure trade is priced for uninterrupted execution, and the public has stopped cooperating with that assumption. Hedgie🤗

20,854 次观看 • 1 个月前

🦔Amazon's Prime delivery drones, now deployed across multiple US cities at $4.99 per delivery, drop packages from 10 feet in the air onto whatever surface is below. A teacher who ordered a bottle of syrup to test fragile deliveries watched the drone deposit it directly onto concrete, smashing it. Videos from Nashville show the same delivery method. Amazon's drones maintain a fixed 10-foot hover height before releasing packages, which then free-fall to the ground. The drone's propellers also disturb the surrounding area on descent. My Take Amazon has invested billions in drone delivery infrastructure and the pitch has always been speed and convenience as genuine improvements over traditional delivery. Dropping packages from 10 feet onto concrete is not a delivery innovation. It's a trebuchet with a Prime logo. The fragile item problem alone eliminates a significant portion of what people actually order, including wine, glassware, electronics, and anything in a glass jar, which covers a substantial chunk of Amazon's catalog. The deeper question is whether this technology is being deployed because it's ready or because Amazon needs to demonstrate progress on the billions already committed to it. Every video like this one becomes a public test of a product that isn't finished, in neighborhoods where the company needs goodwill to maintain operating permissions. The $4.99 fee also doesn't cover the actual cost of drone delivery at current scale, which means Amazon is subsidizing a service that breaks your syrup. I'd want to see the unit economics on this before calling it a viable business. Hedgie🤗

15,725 次观看 • 2 个月前

🦔 Sam Altman says OpenAI might achieve superintelligence by the end of 2028. My Take This is the same timeline shuffle we've seen for years. The goalpost is always two to three years out, close enough to create urgency and FOMO but far enough that nobody can hold you accountable when it doesn't arrive. In 2023 the timeline was two to three years. In 2025 it was the same. Now in 2026 we're hearing end of 2028. AGI has a contractual definition for OpenAI, achieved when their models generate at least $100 billion in profits or when an independent panel verifies a declaration by OpenAI. So Altman gets to define the finish line and announce when he's crossed it. Meanwhile OpenAI just raised another $100 billion while still not being profitable. I find it hard to separate these predictions from the fundraising cycle. When someone who needs continued capital to survive keeps promising transformative breakthroughs are just around the corner, the incentives are obvious. Someone called the singularity "the rapture for atheists" and I think that captures something real about how these predictions function. They're not technical roadmaps. They're articles of faith designed to keep the money flowing and freeze people into feeling like resistance is futile. The timeline never arrives because arriving was never the point. Hedgie🤗

🦔 Sam Altman says OpenAI might achieve superintelligence by the end of 2028. My Take This is the same timeline shuffle we've seen for years. The goalpost is always two to three years out, close enough to create urgency and FOMO but far enough that nobody can hold you accountable when it doesn't arrive. In 2023 the timeline was two to three years. In 2025 it was the same. Now in 2026 we're hearing end of 2028. AGI has a contractual definition for OpenAI, achieved when their models generate at least $100 billion in profits or when an independent panel verifies a declaration by OpenAI. So Altman gets to define the finish line and announce when he's crossed it. Meanwhile OpenAI just raised another $100 billion while still not being profitable. I find it hard to separate these predictions from the fundraising cycle. When someone who needs continued capital to survive keeps promising transformative breakthroughs are just around the corner, the incentives are obvious. Someone called the singularity "the rapture for atheists" and I think that captures something real about how these predictions function. They're not technical roadmaps. They're articles of faith designed to keep the money flowing and freeze people into feeling like resistance is futile. The timeline never arrives because arriving was never the point. Hedgie🤗

21,794 次观看 • 4 个月前

🦔 Bezos says AI is an "industrial bubble" not a "financial bubble," and that's supposed to make it okay. His argument: investors may lose money, but society still gets the inventions. Like the dot-com bust left us with the internet infrastructure. He's not wrong about the pattern. The dot-com crash left behind dark fiber that companies still use today. But notice the framing shift. We went from "it's not a bubble" to "it's a bubble, but it's the good kind." That's progress, I guess. My Take The guy with billions riding on AI telling you the AI bubble is actually fine is worth taking with some skepticism. Yes, some useful technology will survive whatever correction comes. But trillions in investment requires more than "useful." It requires world-changing returns to justify the spending. The real question is who pays for the difference between what was invested and what actually pays off. In the dot-com crash, retail investors and pension funds took massive losses. The infrastructure survived, but people's retirement accounts didn't. Bezos emerged from that wreckage as one of the richest people alive. When billionaires tell you bubbles can benefit society, ask who specifically benefits and who holds the bag. Hedgie🤗

🦔 Bezos says AI is an "industrial bubble" not a "financial bubble," and that's supposed to make it okay. His argument: investors may lose money, but society still gets the inventions. Like the dot-com bust left us with the internet infrastructure. He's not wrong about the pattern. The dot-com crash left behind dark fiber that companies still use today. But notice the framing shift. We went from "it's not a bubble" to "it's a bubble, but it's the good kind." That's progress, I guess. My Take The guy with billions riding on AI telling you the AI bubble is actually fine is worth taking with some skepticism. Yes, some useful technology will survive whatever correction comes. But trillions in investment requires more than "useful." It requires world-changing returns to justify the spending. The real question is who pays for the difference between what was invested and what actually pays off. In the dot-com crash, retail investors and pension funds took massive losses. The infrastructure survived, but people's retirement accounts didn't. Bezos emerged from that wreckage as one of the richest people alive. When billionaires tell you bubbles can benefit society, ask who specifically benefits and who holds the bag. Hedgie🤗

17,830 次观看 • 5 个月前

🦔 Google Chrome is launching "autobrowsing" today for paid subscribers. Instead of just autofilling your credit card, Chrome will now complete entire tasks for you: filling out PDFs, renewing your driver's license, researching trips, booking reservations. You give it a task, it browses the web autonomously, and asks for your approval at the final step. Available for Google AI Pro ($19.99/month) or AI Ultra ($249.99/month). All Chrome users get a new Gemini AI sidebar that pulls from your Gmail and past conversations. My Take Last week Google announced AI Mode connecting to your Gmail and Photos. Now Chrome is pulling from your emails, conversations, and browsing activity to act on your behalf. Every new AI feature requires deeper access to your personal data. You're not just paying $20 or $250 a month for convenience. You're handing over your credit cards, government documents, addresses, and browsing habits to an AI that will interact with websites as you. The people excited about this haven't thought through what happens when it goes wrong. An AI filling out government forms. An AI with your credit card making purchases. An AI that hallucinates or gets social engineered. And when adoption isn't fast enough, they'll degrade regular search and browsing until this feels like the only viable option. That's the playbook. Meanwhile $250 a month tells you exactly how much this costs them to run, and how desperate they are to find someone willing to pay for it. Hedgie🤗

🦔 Google Chrome is launching "autobrowsing" today for paid subscribers. Instead of just autofilling your credit card, Chrome will now complete entire tasks for you: filling out PDFs, renewing your driver's license, researching trips, booking reservations. You give it a task, it browses the web autonomously, and asks for your approval at the final step. Available for Google AI Pro ($19.99/month) or AI Ultra ($249.99/month). All Chrome users get a new Gemini AI sidebar that pulls from your Gmail and past conversations. My Take Last week Google announced AI Mode connecting to your Gmail and Photos. Now Chrome is pulling from your emails, conversations, and browsing activity to act on your behalf. Every new AI feature requires deeper access to your personal data. You're not just paying $20 or $250 a month for convenience. You're handing over your credit cards, government documents, addresses, and browsing habits to an AI that will interact with websites as you. The people excited about this haven't thought through what happens when it goes wrong. An AI filling out government forms. An AI with your credit card making purchases. An AI that hallucinates or gets social engineered. And when adoption isn't fast enough, they'll degrade regular search and browsing until this feels like the only viable option. That's the playbook. Meanwhile $250 a month tells you exactly how much this costs them to run, and how desperate they are to find someone willing to pay for it. Hedgie🤗

11,662 次观看 • 4 个月前

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