Take a deep breath and stay Honest, Humble, Humility and Human.

I wrote this description/warning of what is happening in the West. Please watch it and share it with others. @idicenter

I asked Opus what it thinks consciousness really is.

What If You Could Think a Million Times Faster? Some mind bending possibilities. A second could feel like 12 days. A minute could feel like nearly two years. A single afternoon could feel like centuries. You could explore 1000s of ideas before someone finishes asking you a question. Spend a weekend at that speed, and you’d experience more time than the entire history of written civilization.

a new paper published yesterday in Science Advances showed that just 10 minutes of ultrashort-wave stimulation significantly boosted the brain's waste-clearance system in mice it amplified the brainwaves associated with deep sleep, even while the mice were awake in mice with Alzheimer's pathology, just 7 days of treatment reduced amyloid buildup and improved memory startup idea: a neuromodulation sleeping cap that supercharges your brain's nightly cleanup, improves sleep quality and potentially helps prevent Alzheimer's i genuinely think we'll eventually figure out how to get a full night's restorative sleep in just 4 hours imagine getting an extra 4 hours of life every single day without sacrificing your health the implications are absolutely insane

Asmongold is in complete disbelief reacting to Elon and Tesla's New Roadster.

You Will Own EVERYTHING And Be Happy Post-Labor Economics is about BROAD OWNERSHIP

This is massive, world changing AI news AI achieved superhuman performance in theoretical physics. GPT-6 Astra autonomously solved 49 of 50 unpublished theoretical physics research problems, 98% accuracy at under $3 per problem. $3 per problem, think about it... Crazy part? Researchers initially marked several answers wrong, only to discover that the AI had caught mistakes in calculations by world class physicists. why this is imo way more important and insane news than AI games, pics, recent software disruption? Advancing theoretical physics may give us technologies like: Practical fusion power, antimatter propulsion, relativistic spacecraft, interstellar travel, artificial gravity, vacuum engineering, micro black holes, wormholes, warp drives, solving dark matter and dark energy, theory of everything + 1000s more. we're berely scratching the surface, and super physics AI can easily accelerate our progress 1000s fold, so we can see all this in our lifetimes. just like in math , ~1000 big (unsolved by decads) math problems solved by OpenAI and Google, 50-100 years worth of progress in one week. Now we're moving this disruption and speed to theoretical physics. This will give us Star Trek (and more advanced) tech by 2030s.

SITUATION DETECTED: Anthropic says its code merges per day have grown tenfold and Claude is now able to autonomously iterate on research loops at a speed and scale they have not seen before.

After six years in stealth, Atomic Machines is out. Our mission: on-demand, universal command of matter. First beachhead: the Matter Compiler, an AI-native manufacturing system that builds working micro-machines from code alone. No per-product tooling. No process development. Different code, different machine.

The employment downturn in the US Information sector is intensifying: Information employment fell another -10,000 jobs in September, to 2.739 million, the lowest since December 2020. Excluding the 2020 pandemic drop, this is the lowest level since December 2014. In total, the Information industry has shed -376,000 jobs, or -12.1%, since the November 2022 peak. To put this into perspective, during the 2001 recession and its aftermath, Information employment fell -568,000 jobs, or -15.3%, from March 2001 to December 2003. The Information sector is losing jobs at a crisis pace.

The window to patch software bugs is collapsing Of the bugs hackers actually exploit, ~87% are now being attacked on or before the day the bug is public knowledge That share was 23% in 2020

We estimate AI infrastructure could soon support hundreds of millions or even billions of AI agents. At the high end, that’s enough to rival the working hours of the global human workforce. The exact number of agents depends on the efficiency of the models they run on and whether soaring demand for AI continues. We analyzed different scenarios 🧵

All games are open source now! I wrote up my thoughts on what this means for the gaming industry and some predictions on where things go from here! Let me know what you think :)

SpaceXAI engineer, Lauren Tan: "I was a meat proxy between my agent and my browser. So I fired myself Now 10+ Chiefs of Staff run my agents 24/7 and I just check the work in the morning" In 1 hour, she shows exactly how she built that dark factory with GrokBot Skills → Verification → Loops → GrokBot → Dark Factory Most engineers still babysit one agent. She fired herself from that job This talk is worth more than most $1,500 agentic engineering courses Bookmark and watch it today Then read how to hire your first team of Grok Bots in the article below ↓

If you're stuck at "AI is just another tool", you're making a category error. This is not "same computer, but better". It's far more akin to hiring a bunch of extremely intelligent and capable coworkers with whom you might occasionally disagree.

HOW TO BECOME A FORWARD DEPLOYED ENGINEER (53 MIN MASTERCLASS) Some forward deployed engineers are getting PAID $1M+/year (kinda crazy, I know) And I REALIZED almost nobody talks about HOW they do it in any detail. It's basically nowhere online. So I asked someone who does it ALL DAY LONG for Fortune 500 companies to walk me through it, step by step. and he shares EXACTLY how he does it piped.video/watch?v=1a5HxU52… Here's what I learned: 1. They start by listening, not building. They interview the people doing the work and let agents quietly read the company's data for a few weeks. The real process is almost always 3x longer than the one on paper. 2. They sort every step into four buckets: delete it, automate it with a simple rule, give it to an AI agent, or keep a human on it. A surprising amount ends up in the first bucket. 3. They build inside the tools the company already uses. Nobody has to learn a new app. When a human needs to sign off, it's just a Slack message. 4. They use the cheapest model that gets the job done. Most of this work doesn't need the most expensive AI. 5. They measure everything before and after, then come back 6 months later and prove it worked. This + concrete client examples + way more on today's episode of @startupideaspod (thanks to @vasuman) A full course pretty much on the topic aivalable to you 100% for free. This episode is for ANYONE who wants to be a FDE or who wants to make their company AI-native by deploying agents. Watch

they just killed like 20 entire countries’ economies

We are living in the craziest time: Carter Church used GPT-6 Astra to decipher a 217-year-old letter to one of Napoleon’s generals, reporting about six hours of model work. The difficulty lay primarily in extracting decipherable text at all from a poorly legible historical image. Starting with a scanned image, Astra transcribed 1,300 cipher units, found a published partial key, wrote a solver for the remaining code, and cross-referenced historical letters to correct the document’s date. Cryptiana now lists the cipher as solved. Really cool use case!