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@Maestroo10A Lite mer än 1 år cirkus

@TheCHPCircus Hur länge har du haft den?

Värt att köpa? Någon som har?

@Maestroo10A Väldigt, de är inget man märker. Den är väl snäppet ”tjockare” än en vanlig ring. Men inget man varken tänker på eller syns för andra. Så utmärkt kombination om du vill köra vanlig klocka men ändå hålla koll på kroppen. Ca 7d batteritid med, och då har jag den 24/7.

@TheCHPCircus Sant sant. Har en garmin men känns bulky o har bara den när jag tränar. Känns ringen diskret?

@Maestroo10A … sjuk, med sådär 2-3d försprång. Vilket har varit sinnessjukt accurate. (Kanske placebo-sjuk för ringen säger de?😂). Men jag är väldigt nöjd om du är intresserad av att föra statistik på ditt välmående. Men värt priset med dessutom en månadskostnad? Kanske inte varje dag.

@Maestroo10A Jag har en, då jag vill använda en vanlig klocka, samt inte bära ett whoop-armband(som också är mer riktad direkt mot träning/sport). Överlag en nice Quality of Life-gadget. Håller koll på sömn, steg, träning, stress. Förvånande accurate. Den detekterar också när du börjar bli …

Such a short domain deserves a simple website. Built in rust. nd.mt

these two are brawling

>Wake up. >drink large 20oz coffee. > take 10 nootropics. > take nasal spray of more nootropics. > inject some peptides. >swallow 40 vitamins. >take some lions mane. >crack open energy drink. > watch Opus 4.5 code for 8hr. >talk to nobody. >go to sleep. Life is good.

My CISO called me at 3 AM last Tuesday. "We caught someone." I asked, "Caught them doing what?" He said, "Typing." Let me explain. We have an employee in IT. Great worker. Always online. Never complained. Perfect Slack etiquette. One problem. His keystrokes were arriving 110 milliseconds late. One hundred and ten milliseconds. That's 0.11 seconds. The average American remote worker has 20-40ms of latency. This guy? 110ms. Every. Single. Keystroke. My security team ran the numbers. That latency doesn't come from a bad router in Ohio. That latency comes from Pyongyang. Our "Senior DevOps Engineer" was a North Korean operative. Running his work laptop through a laptop farm. In America. While he worked from a government building. In North Korea. He passed the interview. He passed the background check. He passed the vibe check. He did not pass the speed of light. Here's what people don't understand about physics: Light travels 186,000 miles per second. But it still has to go through China. And China adds latency. Since April, Amazon has caught 1,800 of these attempts. Eighteen hundred. I called an emergency meeting with my board. I said, "We need to implement Keystroke Velocity Auditing across all remote employees." They said, "That sounds invasive." I said, "You know what else is invasive? The Democratic People's Republic of Korea in your Jira tickets." They approved the budget. We now monitor keystroke timing to the microsecond. If your latency exceeds 60ms, you get a call from HR. If it exceeds 100ms, you get a call from the FBI. We've already flagged 47 employees. Turns out 44 of them just have bad Wi-Fi. 3 of them are "still under investigation." The lesson? You can fake a resume. You can fake a background check. You can fake an American accent on Zoom. But you cannot fake the speed of light. Physics is the ultimate background check. Hire accordingly.

Nuno Loureiro was assassinated yesterday He was a professor + the director of MIT Plasma Science and Fusion Center > 47 years old > Studied nuclear fusion (= energy source of the Sun + stars) for 10 years at MIT > His award-winning work focused on creating a virtually limitless, clean energy source on Earth - one that doesn’t produce carbon or radioactive waste (usual biproduct of fission reactors) > His research was essentially a threat to companies in the energy sector (fossil fuels, wind, solar, etc) > Nuno was vital to the development of fusion nuclear power plants, without him the path ahead is less clear + his death will set back the entire field Nuno is not the first MIT fusion scientist to be brutally murdered, in 2004 Eugene Mallove was also shot in his home I hope this opens eyes – there is an agenda at play

Analyst Dark Defender Who Correctly Predicted $XRP Crash to $1.88 Sets His Next Price Target of $5.85.🧵🧵🧵

@100glitterstars Okey doke. Off you go.

HUGE news! @Ripple just received conditional approval from the @USOCC to charter Ripple National Trust Bank. This is a massive step forward - first for $RLUSD, setting the highest standard for stablecoin compliance with both federal (OCC) & state (NYDFS) oversight. To the banking lobbyists – your anti-competitive tactics are transparent. You’ve complained that crypto isn’t playing by the same rules, but here’s the crypto industry – directly under the OCC's supervision and standards – prioritizing compliance, trust and innovation to the benefit of consumers. What are you so afraid of?

JUST IN: XRP payments has increased by about 280%, with daily transaction flows momentarily approaching the $1.7-$2 billion range.

Last quarter I rolled out Microsoft Copilot to 4,000 employees. $30 per seat per month. $1.4 million annually. I called it "digital transformation." The board loved that phrase. They approved it in eleven minutes. No one asked what it would actually do. Including me. I told everyone it would "10x productivity." That's not a real number. But it sounds like one. HR asked how we'd measure the 10x. I said we'd "leverage analytics dashboards." They stopped asking. Three months later I checked the usage reports. 47 people had opened it. 12 had used it more than once. One of them was me. I used it to summarize an email I could have read in 30 seconds. It took 45 seconds. Plus the time it took to fix the hallucinations. But I called it a "pilot success." Success means the pilot didn't visibly fail. The CFO asked about ROI. I showed him a graph. The graph went up and to the right. It measured "AI enablement." I made that metric up. He nodded approvingly. We're "AI-enabled" now. I don't know what that means. But it's in our investor deck. A senior developer asked why we didn't use Claude or ChatGPT. I said we needed "enterprise-grade security." He asked what that meant. I said "compliance." He asked which compliance. I said "all of them." He looked skeptical. I scheduled him for a "career development conversation." He stopped asking questions. Microsoft sent a case study team. They wanted to feature us as a success story. I told them we "saved 40,000 hours." I calculated that number by multiplying employees by a number I made up. They didn't verify it. They never do. Now we're on Microsoft's website. "Global enterprise achieves 40,000 hours of productivity gains with Copilot." The CEO shared it on LinkedIn. He got 3,000 likes. He's never used Copilot. None of the executives have. We have an exemption. "Strategic focus requires minimal digital distraction." I wrote that policy. The licenses renew next month. I'm requesting an expansion. 5,000 more seats. We haven't used the first 4,000. But this time we'll "drive adoption." Adoption means mandatory training. Training means a 45-minute webinar no one watches. But completion will be tracked. Completion is a metric. Metrics go in dashboards. Dashboards go in board presentations. Board presentations get me promoted. I'll be SVP by Q3. I still don't know what Copilot does. But I know what it's for. It's for showing we're "investing in AI." Investment means spending. Spending means commitment. Commitment means we're serious about the future. The future is whatever I say it is. As long as the graph goes up and to the right.

Here’s 60 minutes of nonstop package sorting… boring enough for you?

@Spillepengen Vad är det för spännande indikatorer du kör?

Banker fortsätter att gå starkt 💪 Grafen visar samlat Bank Index för SHB B, SEB A, SWED A, NDA SE 💫 #pratapengar #finanstwitter

Breakdown of the Black Friday data tells us: -Consumer is weakening. -95% of sales volume was financed. -67% of that intends not to pay off within 30 days. -Roughly $1B was spent using BNPL models which are the worst debt. This points to a *really* unhealthy economy.

BREAKING: The $610 Billion AI Ponzi Scheme Just Collapsed Last night at 4pm EST, something unprecedented happened. Nvidia stock rallied 5% on earnings, then crashed into negative territory within 18 hours. Wall Street algorithms detected what humans couldn’t: the numbers don’t add up. Here’s what they found. Nvidia reported $33.4 billion in unpaid bills, up 89% in one year. Customers who bought chips haven’t paid for them yet. The average wait time for payment stretched from 46 days to 53 days. That extra week represents $10.4 billion that may never arrive. Meanwhile, Nvidia stockpiled $19.8 billion in unsold chips, up 32% in three months. But management claims demand is insane and supply is constrained. Both cannot be true. Either customers aren’t buying or they’re buying without cash. The cash flow tells the real story. Nvidia generated $14.5 billion in actual cash but reported $19.3 billion in profit. The gap is $4.8 billion. Healthy chip companies like TSMC and AMD convert over 95% of profits to cash. Nvidia converts 75%. That’s distress level. Here’s where it gets criminal. Nvidia gave $2 billion to xAI. xAI borrowed $12.5 billion to buy Nvidia chips. Microsoft gave OpenAI $13 billion. OpenAI committed $50 billion to buy Microsoft cloud. Microsoft ordered $100 billion in Nvidia chips for that cloud. Oracle gave OpenAI $300 billion in cloud credits. OpenAI ordered Nvidia chips for Oracle data centers. The same dollars circle through different companies and get counted as revenue multiple times. Nvidia books sales, but nobody actually pays. The bills age. The inventory piles up. The cash never comes. AI company CEOs admitted it themselves last week. Airbnb’s CEO called it vibe revenue. OpenAI burns $9.3 billion per year but makes $3.7 billion. That’s a $5.6 billion annual loss. The $157 billion valuation requires $3.1 trillion in future profits that MIT research shows 95% of AI projects will never generate. Peter Thiel sold $100 million in Nvidia on November 9. SoftBank dumped $5.8 billion on November 11. Michael Burry bought put options betting Nvidia crashes to $140 by March 2026. Bitcoin, which tracks AI speculation, dropped from $126,000 in October to $89,567 today. That’s a 29% crash. AI startups hold $26.8 billion in Bitcoin as collateral for loans. When Nvidia falls another 40%, those loans default, forcing $23 billion in Bitcoin sales, crashing crypto to $52,000. The timeline is now certain. February 2026, Nvidia reports fourth quarter and reveals how many bills aged past 60 days. March 2026, credit agencies downgrade. April 2026, the first restatement. The fraud that took 18 months to build unwinds in 90 days. Fair value for Nvidia: $71 per share. Current price: $186. The math is simple. This is the fastest moving financial fraud in history because algorithms detected it in real time. Human investors are 90 days behind.​​​​​​​​​​​​​​​​ Read the full data driven deep dive article here - open.substack.com/pub/shanakaans…

Hej då Lovable