Paul Tibbets

Amazon Ring died on May 22, 2026. It just doesn't know yet. One dad in Nashville, Tennessee built a free MIT-licensed app that watches your driveway, your porch, your baby monitor, your garage. No cloud. No subscription. No cop ever gets the footage. 32,057 stars. 3,103 forks. Pushed today. Here is the wildest part: You: "How much is Ring Protect Pro?" Ring: "$19.99 a month. $199.99 a year. Per house." You: "How much is Google Home Premium Advanced?" Google: "$20 a month. $200 a year. Per house." You: "What do I get?" Both: "We store your footage in our cloud. Ring already paid the FTC $5.8 million in 2023 for letting employees and contractors watch your videos without your consent. Google just raised Nest prices again in 2025." You: "What does Frigate cost?" Blake Blackshear: "Nothing. It runs on the Raspberry Pi already on your shelf. The footage never leaves your house. I have a day job." Ring sells the camera. Then sells your fear back to you, monthly, forever. Frigate sells nothing. Because Blake isn't selling. He's a dad with 1,267 followers who got tired of Amazon owning his front door. 100% Opensource. 100% Local. 100% Yours. The smart camera industry made one bad assumption. That you'd keep paying rent on a camera you already bought. That assumption just died in Nashville.

this is how the AI revolution is different from the INDUSTRIAL revolution. steam engines made work faster but also cheaper. machines were expensive to build but once the factory was running, each product became cheaper to make. AI is complicated. AI is making work more productive (arguably) but with token-based pricing, you don’t own the machine. you rent it every time it thinks, writes, edits, debugs, or retries. if the AI machine produces faster, the bill also grows bigger. the AI revolution may lower labour time but it can also raise usage cost to the point where the “replacement” becomes more expensive than the work it replaced.

🦔Microsoft canceled its internal Claude Code licenses this week after token-based billing made the cost untenable, even for a company with effectively infinite cloud resources. Uber's CTO sent an internal memo warning the company burned through its entire 2026 AI budget in just four months. American AI software prices have jumped 20% to 37%, and GitHub (owned by Microsoft) is dropping flat-rate plans for usage-based billing across its products. My Take The AI subsidy era is ending in real time. The same company that put $13 billion into OpenAI and built the Azure infrastructure powering most of Anthropic's compute just looked at the bill from a competitor's coding tool and decided it was not worth paying. That is not a productivity failure on Anthropic's end. Token-based pricing is forcing every enterprise customer to confront the actual cost of running these models at scale, and the number turns out to be far higher than the flat-rate experiments suggested. This ties directly to my Gemini Flash post yesterday. Anthropic, OpenAI, and Google all raised effective prices in the last six months. Enterprises that built workflows assuming AI costs would keep falling are now watching annual budgets evaporate in months. Two outcomes look likely from here. Either enterprises scale back AI usage to fit budgets, which slows the revenue ramp the labs need to justify their valuations ahead of IPOs, or the labs cut prices and absorb the losses, which makes the unit economics worse at exactly the wrong moment. Both paths land in the same place, the numbers stop working, and somebody has to take the writedown. Hedgie🤗

You already know who’s in charge of the Memorial Day bbq at the White House 😂

There’s no nasty movement like nasty Wiffle Ball movement. Some absolute filth here …

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Here's what the internet will soon become because of AI: An infinite library, with infinite truths and infinite falsehoods, and a complete inability to tell those two things apart. This is straight from the 1941 Jorge Luis Borges story “The Library of Babel”. In it, he imagines an infinite library made up of books of random letters. Because it is infinite, it contains not only every book ever written, but every book that could possibly be written. It contains every possible truth as well as an infinite number of falsehoods. The secrets of the universe, of life, of everything, are hidden somewhere in that library. The only issue is: that magical book is impossible to find. And if you found it, how would you ever know you found the book of truth, and not one of the infinite books of lies that surround it?

Most people think Proton Mail encrypts everything. It doesn’t. Here’s what Proton Mail actually encrypts end-to-end: • Email body • Attachments But these are NOT end-to-end encrypted: • Subject lines • Sender addresses • Recipient addresses Meaning Proton can technically access that metadata if legally compelled. Why does this happen? Because Proton follows the OpenPGP standard, where email headers remain unencrypted for compatibility with the broader email ecosystem. That’s also why features like: • Subject-line search • Email routing • Cross-provider compatibility continue to work normally. To be clear: • Your actual email content is still highly secure • Proton still uses strong zero-access encryption • Outsiders still can’t easily access your emails But metadata privacy remains one of the biggest weaknesses in modern email systems. This is also why some privacy-focused users prefer Tutanota, which encrypts email subjects too. How important is metadata privacy to you?

With Grok, you can literally plug xAI's entire stack directly into Hermes Agent and OpenClaw and actually run it powerfully It comes with a full, powerful suite that makes every other AI plan look obsolete Grok-powered setup gives you: • xAI's most powerful models • Speech-to-text (STT) • Text-to-speech (TTS) • Grok Imagine for images • Grok Imagine for videos • Native 𝕏 Search built-in • Native web search • Massive context window The best part is that you can literally use these capabilities directly with your existing 𝕏 Premium and SuperGrok subscriptions....not with expensive API bills There is literally no better deal in AI right now

🚨A HACKER GROUP JUST STOLE 4,000 OF GITHUB'S OWN PRIVATE REPOSITORIES.. PUT THEM UP FOR SALE FOR $50,000.. AND THE WAY THEY GOT IN IS THE SCARIEST PART.. They didn't hack GitHub's servers.. They poisoned a VS Code extension.. One GitHub employee installed it.. And the attackers walked through the front door using the employee's own credentials.. The group calls themselves TeamPCP.. They name their malware after the sandworms from Dune.. And they've been running the most sophisticated supply chain attack campaign in cybersecurity history.. Here's how the whole thing unfolded.. In March.. They poisoned Trivy.. One of the most trusted security scanners in the world.. Used by over 10,000 development workflows globally.. They injected credential-stealing malware into Trivy's official GitHub Action.. The malware ran silently BEFORE the security scan.. So every log showed "scan completed successfully" while the malware was stealing AWS keys, SSH credentials, database passwords, and Kubernetes tokens in the background.. It took Aqua Security 5 days to fully remove them.. Using the stolen credentials.. They breached Cisco Systems.. Cloned over 300 private repositories.. Including source code for unreleased AI products.. And repositories belonging to Cisco's customers.. Major banks.. Government agencies.. BPO firms.. In April.. They hit Checkmarx.. Another security vendor.. Poisoned 5 official Docker images in 83 minutes.. The scanner worked perfectly.. It just silently sent all your secrets to the attackers.. That automatically cascaded into Bitwarden.. The password manager.. Their CI/CD system pulled the poisoned Docker image.. And the attackers injected malware into Bitwarden's official CLI package published on npm.. One compromised security scanner poisoned a password manager.. Automatically.. No human involved.. In May.. They hit TanStack.. Libraries downloaded millions of times per week.. 84 malicious package versions across 42 packages.. And here's the terrifying part.. The malware scraped the raw memory of GitHub's build servers.. Extracted authentication tokens.. Used those tokens to bypass two-factor authentication.. And then published the infected packages with completely valid cryptographic signatures.. Every security verification tool on earth said the packages were legitimate.. Because they were signed by the real pipeline.. Using real keys.. The attackers just happened to be inside the pipeline when it signed.. They defeated the entire trust model of modern software supply chains.. The same week they hit the Nx Console VS Code extension.. 2.2 million installations.. The malware specifically targeted Claude Code configurations.. Hunting for AI assistant credentials.. That's a first.. Supply chain malware designed to steal your AI's access keys.. Then on May 19.. They revealed the GitHub breach.. 4,000 internal repositories.. Listed for sale at $50,000.. With a warning.. "If nobody buys it.. We leak everything for free".. Their malware is self-propagating.. Once it infects one package.. It automatically finds every other package that developer maintains.. Steals the publish tokens.. And infects all of them.. Then those packages infect the next developer.. And the next.. It jumps between npm and PyPI automatically.. The group doesn't even do the extortion themselves.. They sell stolen credentials to ransomware gangs.. One gang used TeamPCP's data to threaten Cisco with leaking FBI and NASA personnel records.. And the scariest part of all.. They didn't break any encryption.. They didn't find any zero-days.. They exploited the fact that the entire software industry blindly trusts its own build tools.. Every security scanner.. Every Docker image.. Every VS Code extension.. Every GitHub Action.. Is a potential weapon if someone poisons it upstream.. And right now.. Nobody can tell the difference between a legitimate build and a compromised one.. Because the compromised ones have valid signatures too.

Dr James Salisbury was a Civil War physician in the 1860s, working in Union army hospitals where soldiers were dying in numbers that bullets alone couldn't account for. The killers were dysentery, scurvy, and typhoid. The military diet didn't help. Hardtack. Beans. Coffee. Meat was rationed thin for cost. Salisbury noticed something. Soldiers who somehow got hold of beef recovered faster from everything in front of them. Wounds closed. Infections cleared. Energy returned to men the surgeons had quietly given up on. He ran the experiment formally. Lean ground beef, scraped from the cut to remove connective tissue, broiled and served three times daily with hot water. Nothing else for weeks at a stretch. The results were dramatic enough that officers began requisitioning beef specifically for the sick wards. The dying got up. The chronic cases improved. The numbers were impossible to ignore. Salisbury published his findings in 1888 in The Relation of Alimentation and Disease. His thesis: most chronic illness stemmed from fermentation in the gut caused by starches and vegetables, and could be reversed by an exclusive diet of beef. He documented successful treatment of tuberculosis, rheumatism, gout, digestive disorders, obesity, and what we'd now call mental illness. His work was widely read across the United States. Salisbury steak was named after him. It wasn't a convenience food. It was a prescription. Then came the 1920s. Pharmaceutical companies began producing patentable drugs for the same conditions. By the 1950s, Salisbury's work was mocked or forgotten entirely. By the 2000s, his name had been reduced to a frozen meal on a school cafeteria tray. An American physician who cured chronic disease with beef was quietly erased because his cure couldn't be bottled and sold by prescription. His name survives on a microwave dinner. The medicine has been stripped out of it.

The Phillies after firing their manager are the greatest team of all-time

Julius Brussee's caveman plugin hit 51,000+ GitHub stars in two weeks. It cuts Claude's output tokens by 65%. I turned it into a Claude skill you can build in 30 seconds. Copy the prompt below. Ask Claude to build the skill. Save it in your Customize settings.

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Dr. Jud Brewer is a Brown neuroscientist who showed anxiety is a habit loop, not a personality trait. On Rich Roll's podcast, he revealed 10 "normal" habits that keep your mind stuck in worry mode: 1) Trying to think your way out