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Mark Zuckerberg just described the death of human connection on the internet and no one flinched. One sentence. Fifteen years of erosion in twelve words. Mark Zuckerberg: “Social media started out as people primarily interacting with their friends. And now… at least half of the content is basically people interacting with creators.” You used to open your phone to see what your friends were doing. Now you open it to watch strangers. You did not choose this. The algorithm chose it for you. It tested your friends against optimized strangers. Your friends lost. Every time. A stranger with better lighting, better timing, and a better hook held your attention three seconds longer than someone who loves you. So the algorithm buried your best friend’s wedding photos under a cooking video from someone in Dubai you have never met. And you watched the cooking video. That was the first replacement. Friends for strangers. You barely noticed. The second one is already underway. If the algorithm already proved strangers outperform your real relationships, and AI can now build a stranger more engaging than any human alive, the math finishes itself. The AI does not have a bad week. It does not post something careless and lose the algorithm’s favor. It does not burn out. Every word calibrated. Every frame tuned. Every pause placed at the exact interval that keeps your thumb from moving. A human creator competing against that is carving stone tablets in a world that just built the printing press. The economics are not even close. A person needs rent, sleep, and motivation. The machine needs electricity. When the cost of generating perfect content hits zero, the feed fills with faces that do not exist. Voices that feel familiar. Opinions that mirror yours just enough to feel like trust. Personalities built from scratch to feel like someone you have known for years. You will not know when the switch happens. That is the point. The feed does not care whether the thing holding your attention has a pulse. It cares whether you stay. And a machine that knows your patterns better than you know yourself will always keep you longer than a person ever could. This is not a warning. Half of it already happened. You lost your friends to strangers and did not notice. You will lose the strangers to machines and call them friends. Somewhere in a different app, in a different tab, in a room you are sitting in right now, someone who actually knows you is living a moment you will never see. Not because they stopped sharing it. Because you stopped being where it was.

OpenClaw 2026.4.5 🦞 🎬 Built-in video + music generation 🧠 /dreaming is now real 🔀 Structured task progress ⚡ Better prompt-cache reuse 🌍 Control UI + Docs now speak 12 more languages Anthropic cut us off. GPT-5.4 got better. We moved on. github.com/openclaw/openc…

ChatGPT gives you code. Claude Code writes it, compiles it, debugs it, backtests it, and hands you the equity curve. I switched 2 months ago and built 17 projects Over 1,000,000 lines of code Without writing a single line manually. In this video, I show the full process From a one sentence prompt to a profitable strategy in 5 minutes. Voice control, autonomous debugging, MCP servers While everyone else is still copy pasting from ChatGPT and fixing brackets for hours. 0.04% of people use coding agents for more than 90 minutes a day. I average 4–5 hours. 7,000% return on investment. The gap is only getting wider.

Ewing is nasty man

Gelatin is just the byproduct of a slaughterhouse meat industry racket designed to ensure zero waste and maximum profit. They scrape the hides and bones of pigs to create a binding agent for your candy. It is a classic move to turn literal trash into a profitable snack while keeping you hooked on sugar. They take the scraps nobody wants, process them with chemicals, and call it a treat. It is all about squeezing every cent from the carcass.

I feel I have to warn people that jobs as we know it won't exist in 6-12 months I haha'd at the notion a few weeks ago but from first hand experience it's unfathomable what coordinated teams of AIs can accomplish now I have teams of AIs building, managing, deploying our entire infrastructure. Another team can produce new content through a game pipeline identical to a studio full of people. They are sophisticated, coordinated, and fast I simply submit ideas, feature requests and bug reports and dozens of agents work together to implement across every app and even deploy them to users, and eventually I won't need to to do anything because they already self-iterate. Even our hardware products are managed autonomously I suspect the bigger organizations are months ahead on this already and I wouldn't be surprised if they have 1000s of agents running 24/7. I suspect X was able to cut staff by like 90% because X AI actually replaced them with early agents But designing these teams to actually accomplish tasks is a job in itself. Anyone who can solve problems and has intuition on organizational structures will do well, and the work is absolutely thrilling. It will probably be the only tech job left after the wave Learn to wrangle AI before the AI wrangles you

🚨 do you understand what scientists just did to deafness.. researchers injected a modified harmless virus directly into the cochlea the spiral cavity in your inner ear.. carrying a working copy of a gene called OTOF.. the gene that transmits sound signals from your ear to your brain.. without it, your ear hears everything.. your brain receives nothing.. 10 completely deaf patients.. single injection.. within weeks all 10 could hear.. 10 out of 10.. here's what nobody wants to say.. cochlear implants cost between $30,000 and $100,000 per patient.. hearing aids sell for up to $7,000.. the global hearing industry is worth over $9 billion a year.. every year.. recurring.. because deafness has never been cured.. just managed.. one injection ends all of that.. and in 2018 goldman sachs analysts literally wrote this in a report about gene therapy.. "curing patients is not a sustainable business model" that's a goldman sachs equity research note.. sent to investors.. warning them that companies developing one-time cures were a risky bet because cured patients stop buying products.. the science to fix single broken genes has existed in research labs for years.. the same platform used here already cured a form of blindness in 2017.. cured spinal muscular atrophy in babies in 2019.. there are over 10,000 known single-gene disorders.. millions of people labelled "incurable".. the platform exists.. the proof is 10 out of 10.. the question was never whether they could fix it.. it's whether fixing it was good for business.

I think the next big jump in AI productivity isn't going to be a better model. It's going to be making the models we already have work together. Right now ChatGPT, Claude, coding agents, research bots... they're all powerful but they're all sitting on separate islands. No shared files, no awareness of each other. I tried OpenAgents Workspace and it just works. It's open-source. You connect whatever local agents you want into one workspace with shared files and a shared browser. When my agents started passing context to each other without me doing anything, that's when it clicked. Many tools, one workspace. That's the move. Try it ->

Meet Gemma 4: our new family of open models you can run on your own hardware. Built for advanced reasoning and agentic workflows, we’re releasing them under an Apache 2.0 license. Here’s what’s new 🧵

Do you remember when you joined X? I do! #MyXAnniversary

I feel like a fucking shark.

im never going to make it in corporate america because im not a fucking faggot so im going to have to build something of my own

Start every morning with positive affirmations

God is good!!

Huge Anthropic leak just dropped: the entire Claude Code CLI source is now public. A misconfigured .map file in their npm package exposed a direct download link to the full unobfuscated TypeScript codebase from Anthropic’s own R2 bucket. Discovered by Chaofan Shou (@Fried_rice), the dump is massive 1,900 files, 512,000+ lines including the complete tool system, 50+ slash commands, multi-agent coordinator, React/Ink terminal UI, IDE bridge, permission engine, and several unreleased features. Full repo is live on GitHub(@nichxbt ): github.com/nirholas/claud… Clean mirrors are already up for easy browsing(@baanditeagle): cc-poster.vercel.app cc-hidden-deploy.vercel.app It’s spreading fast, the entire dev community is already tearing through it.

Breaking news: The CEO who created Claude just published a 38-page letter to all of humanity. Dario Amodei mapped out exactly which careers will survive AI and which won't. No hype. No doomsday. Just the coldest, most specific prediction any AI leader has ever made. But page 29 contains a reasoning framework that transforms AI from what will replace you into your greatest unfair advantage. Here are 9 prompts from Claude based on Amodei's methodology that will put you years ahead of everyone who didn't read this:

the velocity is real but it's less mysterious than it looks. they're using the models to build the models. Anthropic literally said engineers now supervise Claude writing Claude's next version. the compounding isn't a secret AGI. it's the same tool everyone has, just applied with more discipline at every layer of their own stack.

People learning that their entire political ideology was a scheme thought up and created by billionaires they hate. Can't make this shit up LMAO

AI creates a material as light as foam yet 5× stronger than titanium.