jaadow

If you missed yesterday's $XRP announcement, this is what I was referring to. Most people still don't get the significance, so allow me to elaborate: During SEC v. Ripple Labs it surfaced that there were 1,700 NDA's between Ripple and other companies. A lot of people speculated that those NDA's pertained to banks. Yesterday's announcement is not Speculation. Ripple publicly confirmed not just 1,700, but 13,000 banks connected through their system where $12.5T flows. Putting that into perspective, there are 4,336 registered 'Banks and Savings Institutions' in the United States. There are also 4,287 'Credit Unions'. Many of these institutions are international throughout Western civilization. That means that Ripple is now promulgated into almost every western (anglo-society) banking institution. That is where the $12.5T number comes from. But you don't care about that right? You want to know what it will do for the price of XRP. Let's go apply the Bakkes Pipeline (Stock to flow) model: If 20,000,000,000 $XRP move $12.5 Trillion annually the average price per $XRP is $625. That $589 number and the chart I've shared many times do not look so far out of reach now, do they? There is hopium, and then there is this 👇

@IOV_OWL @dom_kwok Accept the discomfort and just do it

@dom_kwok Beyond visible addiction, many carry internal ones. Real change works the same way. One workout at a time. One day at a time. If you want to become someone different, accept the discomfort and do the work anyway.

i’ve been going to the same gym for many years and the most amazing thing is seeing fat people walk into the gym on day one and then over months completely transform themselves into a fit person. one of the cooler things to see in life. health is wealth.

If quantum “kills” Bitcoin, it also kills: • The global banking system • SWIFT transfers • Stock exchanges • Military communications • Nuclear command systems • Every HTTPS website on earth If Bitcoin is dead from quantum, your portfolio is the least of your problems.

@yoyonofukuoka I love Japan I want to visit

アメリカ人はもっと、日本人を下に見てるのかと思ってた。 それも仕方ないと思ってたけど、実際は全然違った。 彼らは僕達を対等に見ている。 彼らの日本愛の熱量は本気だった。 自動翻訳機能によって、僅かなボタンの掛け違いが解消した。 ありがとうイーロンマスク。 ありがとうXスタッフ。 🇺🇸🤝🇯🇵

@benjitaylor Indubitably

ザ エブリワン アプリ

@TommiPedruzzi Claude

Forget Claude Code. You can make $2,945/month with a basic Claude account. I use it to create 90-page nonfiction books it generates $50,000/month. I've recorded 5+ hour breaking down my entire strategy. If you're: • Stuck in a 9–5 and want exit • Want income not tied to your time • Leverage AI for a new income stream Just like this post + Comment "Claude" I'll DM you the training right in your inbox (+ a bonus for early action takers) Usually $199 Now free (for first 500 people only).

this guy let an AI agent handle his scam texts for a week a scammer asked him to buy a $500 gift card the agent spent 4 hours "driving" to target. sent status updates like "i'm at the red light now, there's a very handsome squirrel on the sidewalk. do you think he's married?" then it said "i forgot my purse, going back home. wait, this isn't my house" it sent a screenshot of a captcha to the scammer claiming its "eyes were blurry" and it couldn't see the buttons to wire money the scammer actually solved the captcha for the AI the scammer eventually typed: "please just stop talking. i don't want the money anymore. god bless you but leave me alone" total time wasted for the guy was 14 hours the script should be open source lol

@nic_carter @bankertobuilder Niggafication

@bankertobuilder does anyone have a suggestion for a slur to describe these buildings

Most towns outlaw apartments in single family neighborhoods But it can be done tastefully We just wrapped up this beautiful project 16 old houses became 280 apartments that blend in seamlessly with the existing neighborhood

@22doges @ErnestoSOFTWARE Probably started as a tennis app and the dev kept building

@ErnestoSOFTWARE Then how is the app 9 years old?

Literally nobody is talking about this😭 $100K/mo for a pickleball app it uses your phone camera to call lines and track your shots in real time. pickleball is the fastest growing sport in America and there are maybe 5 apps total. this entire niche is wide open If someone built a gamified pickle ball app where you can challenge other players And have public ranking That’s would highkey print

@crypto_bitlord7 Invite to the crib?

Yes I’m a drug addict. Is it a crime ?

@MartiniGuyYT Honestly fuck this click bait account lmao…fucking loser

💥UPDATE ETHEREUM FOUNDATION SELLS 5,000 ETH AT AN AVERAGE PRICE OF $2,042.96 VIA OTC THE BUYER WAS TOM LEE'S BITMINE

@AndyBeard @BrianRoemmele @karpathy What about pickleball? Been building an app for this

@BrianRoemmele Tennis will be an interesting Alpha GO moment for robots So will table tennis Maybe @karpathy's recent timed learning could be used

Learning Athletic Humanoid Tennis Skills from Imperfect Human Motion Data A new open source World AI Model that shows just small snippets of video motion data is needed to produce a tennis playing robot. I am testing this in a solution now and blow away on ANY motion competition it can form.

@milesdeutscher @aiedge_ Why the fuck would you immerse yourself in a VR environment to vibe code you’re the epitome of a helpless ai user that ships nothing. Fucking loser

Vibe coding on my Apple Vision Pro. The future of work is here.

This is wild. 143 million people thought they were catching Pokémon. They were actually building one of the largest real-world visual datasets in AI history. Niantic just disclosed that photos and AR scans collected through Pokémon Go have produced a dataset of over 30 billion real-world images. The company is now using that data to power visual navigation AI for delivery robots. Players didn't just walk around with their phones. They scanned landmarks, storefronts, parks, and sidewalks from every angle, at every time of day, in lighting and weather conditions that staged photography would never capture. They documented the physical world at a scale no mapping company with a fleet of vehicles could have replicated on the same timeline or budget. Niantic collected this systematically, data point by data point, across eight years, while users thought the only thing at stake was catching a rare Charizard. The most valuable AI training datasets in the world aren't being assembled in data centers. They're being built by people who have no idea they're building them.

@Al_Grigor @zerohedge TLDR: don’t use terraform destroy like an intern

Claude Code wiped our production database with a Terraform command. It took down the DataTalksClub course platform and 2.5 years of submissions: homework, projects, and leaderboards. Automated snapshots were gone too. In the newsletter, I wrote the full timeline + what I changed so this doesn't happen again. If you use Terraform (or let agents touch infra), this is a good story for you to read. alexeyondata.substack.com/p/how-i-droppe…

@ZssBecker @0xInk_ @grok where is everyone running seedance from

completely crack addict to Seedance 2 another mech transformation but in anime style

Today, we're introducing Spectre I, the first smart device to stop unwanted audio recordings. We live in a world of always-on listening devices. Smart devices and AI dominate our world in business and private conversations. With Deveillance, you will @be_inaudible.

@BrianRoemmele @grok how do I take advantage of this and utilize a Mac with an m4 chip to train models for half the cost of an ai data center

BOOM! Apple’s Neural Engine Was Just Cracked Open, The Future of AI Training Just Change And Zero-Human Company Is Already Testing It! In a jaw-dropping open-source breakthrough, a lone developer has done what Apple said was impossible: full neural network training– including backpropagation – directly on the Apple Neural Engine (ANE). No CoreML, no Metal, no GPU. Pure, blazing ANE silicon. The project (github.com/maderix/ANE) delivers a single transformer layer (dim=768, seq=512) in just 9.3 ms per step at 1.78 TFLOPS sustained with only 11.2% ANE utilization on an M4 chip. That’s the same idle chip sitting in millions of Mac minis, MacBooks, and iMacs right now. Translation? Your desktop just became a hyper-efficient AI supercomputer. The numbers are insane: M4 ANE hits roughly 6.6 TFLOPS per watt – 80 times more efficient than an NVIDIA A100. Real-world throughput crushes Apple’s own “38 TOPS” marketing claims. And because it sips power like a phone, you can train 24/7 without melting your electricity bill or the planet. At The Zero-Human Company, we’re not waiting. We are testing this right now on real ZHC workloads. This is the missing piece we’ve been chasing for our Zero Human Company vision: reviving archived data into fully autonomous AI systems with zero human overhead. This is world-changing. For the first time, anyone with a Mac can fine-tune, train, or iterate massive models locally, privately, and at a fraction of the cost of cloud GPUs. No more renting $40,000 A100 clusters. No more waiting in queues. No more massive carbon footprints. Training costs that used to run into the tens or hundreds of thousands of dollars? Plummeting toward pennies on the dollar – mostly just the electricity your Mac was already using while it sat idle. The AI revolution just moved from billion-dollar data centers to your desk. WE WILL HAVE A NEW ZERO-HUMAN COMPANY @ HOME wage for equipped Macs that will be up to 100x more income for the owner! We’re only at the beginning (single-layer today, full models tomorrow), but the door is wide open. Ultra-cheap, on-device training is here. The future isn’t coming. It’s already running on your Mac. Welcome to the Zero-Human Company era.