MC HAMMER e/acc

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MC HAMMER e/acc

MC HAMMER e/acc

@MCHammer

#OAKLANDFIGHTCLUB #Dubnation #RaiderNation #AI #Hamm400 #Science #Consciousness #QuantumPhysics #Dogon #Philosophy #AncientEgypt #FilmMaker #Art #AGI

Bay Area #GoldenState #Oakland Katılım Mayıs 2007
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MC HAMMER e/acc
MC HAMMER e/acc@MCHammer·
Life will force you to focus.That Focus can bring out the BEST in you. “Forced Focus” is a tool of the mind and soul through God for Our strength.Here I #FOCUS on the past to contextualize the present and conquer the future while in relentless pursuit of our #BestLife.
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MC HAMMER e/acc
MC HAMMER e/acc@MCHammer·
Hamm400✨✍🏽
Ricardo@Ric_RTP

Jensen Huang just called out every CEO who’s been firing people “because of AI.” Jim Cramer asked him why companies are laying people off if AI is supposed to make everyone MORE productive. Jensen's answer: "For companies with imagination, you will do more with more. For companies where the leadership is just out of ideas, they have nothing else to do. They have no reason to imagine greater than they are. When they have more capability, they don't do more." Read that again. The man who built the most important tech company on Earth just told you that if your CEO is using AI to cut headcount, it means one thing: They have no imagination. They have no vision for what comes next. They got handed the most powerful tool in human history and their FIRST instinct was to fire people. This is the CEO of NVIDIA. The company whose chips power every AI system on the planet. If anyone on Earth has the right to say "AI replaces workers," it's Jensen Huang. And he said the OPPOSITE. He said every carpenter could become an architect. Every plumber could become an architect. AI elevates capability. It doesn't eliminate it. But here's where it gets really interesting... During the same interview, Jensen revealed something nobody's talking about: He said AI startups like OpenAI and Anthropic are seeing their revenues increase by one to two billion dollars a WEEK. And he wishes these companies were public so the world could see what he sees. One to two billion per week. That's a $50 to $100 BILLION annualized run rate. For companies that most people think are burning cash and making nothing. The entire Wall Street narrative that "AI companies aren't profitable" might be completely wrong. Jensen sees their numbers. He sees their compute orders. He sees their growth. And he's saying the revenue is real. So if the money IS real, why are other companies firing people? Because they're not building AI products. They're not creating new revenue streams. They're not using AI to expand into new markets. They're using AI as an EXCUSE to cut costs because they ran out of ideas 3 years ago and need something to tell the board. Jensen's company added $500 billion in new orders in 5 months. He expects $1 trillion in cumulative revenue through 2027 from just two product lines. That number doesn't include the new chips, systems, or partnerships announced this week. And he's not cutting people. He's hiring. Because when you have imagination, more capability means MORE opportunity. Not less headcount. Meanwhile Salesforce cut thousands. Meta cut thousands. Amazon cut thousands. All blaming "AI efficiency." Jensen's response: You're out of imagination. He also said something that stuck with me. Cramer asked if he ever thought he'd build a $10 to $20 trillion company while waiting tables at Denny's. His answer: "I was just trying to make it through the shift." Biggest tip he ever got? Two, three dollars. Now he's building tech that increased computing demand by one million times in two years. He announced OpenClaw, which he says is as big as ChatGPT. And he's got 21 months of new business that isn't even counted in the trillion dollar figure yet. When asked how long he plans to keep working? "I'm hoping to die on the job. And I'm not hoping to die anytime soon." This is a man who believes every single thing he's building. And his message to every CEO using AI to justify layoffs is simple... You're not innovating. You're surrendering. The technology wasn't built to shrink companies. It was built to make them limitless. If your leadership can't see that, the problem isn't AI. It's THEM.

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Demis Hassabis
Demis Hassabis@demishassabis·
You can vibe design some incredible interfaces with @stitchbygoogle
Google Labs@GoogleLabs

Introducing the new @stitchbygoogle, Google’s vibe design platform that transforms natural language into high-fidelity designs in one seamless flow. 🎨Create with a smarter design agent: Describe a new business concept or app vision and see it take shape on an AI-native canvas. ⚡️ Iterate quickly: Stitch screens together into interactive prototypes and manage your brand with a portable design system. 🎤 Collaborate with voice: Use hands-free voice interactions to update layouts and explore new variations in real-time. Try it now (Age 18+ only. Currently available in English and in countries where Gemini is supported.) → stitch.withgoogle.com

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DogeDesigner
DogeDesigner@cb_doge·
Grok can watch long videos for you and save your time.
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Amy Trask
Amy Trask@AmyTrask·
@MCHammer We can learn so much from kids - the world can learn so much from kids - and hi Hammer.
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MC HAMMER e/acc
MC HAMMER e/acc@MCHammer·
Hamm400✨✍🏽 💡✨💡✨💡
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MC HAMMER e/acc
MC HAMMER e/acc@MCHammer·
Hamm400✨✍🏽
Jesse Michels@AlchemyAmerican

🚨 BREAKING: Italian radar scientist detected what appears to be a massive grid of eight cylindrical structures, each 20 meters in diameter, descending over a kilometer beneath the Giza pyramids using Synthetic Aperture Radar Doppler Tomography. The cylindrical columns have coils wrapping around them resulting in a megastructure that looks like an ancient energy grid 🚨 So I brought in Geoffrey Drumm, one of the most technically rigorous pyramid researchers alive, to stress test every claim in real time. What followed was a four hour technical interrogation that revealed both stunning validations and unresolved questions about what may be the most significant archaeological discovery of the century. Biondi holds a PhD in radar science, 30 years in the field, and invented a proprietary method called the Biondi Protocol that reads surface micro-vibrations detected by Italian COSMO-SkyMed satellites to reconstruct what lies inside and beneath solid structures. His first peer-reviewed paper scanned the Great Pyramid in 2020. His second project scanned the Khafre Pyramid and the wider Giza Plateau, producing the 3D model that broke the internet: eight tubular columns with coils wrapping around them, sitting on a foundation of enormous cube-shaped structures, extending beneath all three pyramids and the Sphinx. Drumm is the author of The Land of Chem YouTube channel, lives in Egypt, and has developed a comprehensive hypothesis that the pyramids functioned as industrial-scale chemical reactors powered by lightning during the Saharan Humid Period. He knows the Giza Plateau like the back of his hand and has previously stress tested and poked holes in Biondi’s findings. This conversation is an unfiltered exchange between two heavyweights: 1. Biondi's Best Scan Is Jaw-Dropping As validation, Biondi presented a proof-of-concept scan of Italy's Gran Sasso National Laboratory, buried 1.4 kilometers inside a mountain. The image is stunning. You can see the tunnel cutting through the mountain, the interior of the facility, and even the interferometer inside it using the same technique Biondi used to scan beneath the pyramids. Drumm called it the single most convincing piece of evidence that this technology works. The Gotthard Tunnel in Switzerland produced a similarly clear image at two kilometers depth through solid rock. These are not theoretical demonstrations. They are working scans of known structures at extreme depth, and they validate that the Biondi Protocol can see through kilometers of stone. 2. He Found a Hidden Corridor Before Anyone Else In his 2020 paper, Biondi identified a feature on the northern face of the Great Pyramid labeled Tag 17. A dead-end corridor behind the chevron stones that nobody knew existed. Years later, the ScanPyramids muon team confirmed it and drilled in with a microscopic camera. Biondi's measurements of the corridor's length and the positions of its floor and ceiling matched what was found. This is a confirmed prediction from satellite radar, made years before physical verification. 3. He Detected a Sealed Shaft Beneath the Queen's Chamber One of the most compelling findings from the 2020 paper is a shaft and chamber system descending from the bottom of the Queen's Chamber. This structure was actually reported in 19th century excavation documents. Explorers found a pit in the Queen's Chamber floor, excavated down, and discovered a tunnel system below it. The Egyptian authorities then permanently sealed it with modern blocks. Biondi's scans picked it up independently, with no prior knowledge of those historical records. Drumm, who had already proposed this exact extraction shaft in his own chemical reactor model, called this the most promising result in the entire dataset. 4. The Substructures Are Enormous The tubular columns beneath the Khafre Pyramid measure approximately 20 meters in diameter each, spaced about 5 meters apart. That is 65 feet across per column. Eight of them. For context, the Queen's Chamber sometimes fails to register in certain scan slices because it is too small relative to the tomographic line. Biondi's argument is that megastructures at this scale are exactly what the technology is built to detect. Small chambers can be missed depending on the angle of the satellite pass. Repeating cylindrical structures 20 meters wide, appearing consistently across multiple scan geometries and multiple satellite sensors, are a different category of detection entirely. 5. Drumm's Challenge: The Processing Gap Here is where the debate gets sharp. The Gran Sasso and Gotthard scans used an advanced processing technique that averages noise across adjacent tomographic slices, requiring months of computation on borrowed hardware. The pyramid scans used a faster but noisier method on Biondi's own limited computers. Drumm pointed out that the quality difference is massive. The proof-of-concept images are transparent like a crystal. The pyramid images require expert interpretation to read. Biondi's response: he needs an array of GPUs he cannot afford. With that hardware, he says he could produce Gran Sasso-quality scans of the Giza substructures in near real-time. Estimated cost: millions. This is the bottleneck standing between a controversial claim and a potentially world-changing confirmation. 6. Other issues: Known Chambers Sometimes Do Not Appear Drumm walked through the 2020 dataset scan by scan. The Queen's Chamber shows a strong, consistent signature and serves as a reliable benchmark. But in several tomographic slices, the King's Chamber does not appear. The Grand Gallery does not appear. The subterranean chamber does not appear. Biondi attributes this to single-slice geometry. Each scan captures one vertical curtain through the structure in 15 seconds. If that curtain does not intersect a chamber precisely, it will not register. He says the real-time GPU system would allow him to sweep through hundreds of adjacent slices and reconstruct a full 3D volume. That system does not yet exist. 7. Biondi Challenged the Muon Team's Interpretation The ScanPyramids muon team claims the Big Void inside the Great Pyramid runs north to south, parallel to and above the Grand Gallery. Biondi's scans show it running east to west, connected to structures wrapping around the King's Chamber. Looking at the muon data during the conversation, Biondi argued they may have confused the floor and roof of the Grand Gallery for two separate features. The Egyptian Ministry of Antiquities is using the muon team's interpretation to justify drilling into the Great Pyramid in 2026. If Biondi is right about the orientation, that excavation could validate SAR Doppler tomography over the established method in one stroke. 8. The Signal Fades at 600 Meters and Nobody Knows Why The model shows structures extending over a kilometer deep. But in the raw data, the signal tapers around 600 meters. Drumm pressed Biondi on this. The initial explanation was the water table, but both agreed the actual water table sits only about 50 meters below the plateau. When pushed further, Biondi said he cannot yet explain the change but hinted at something he is not authorized to disclose. The structures do continue in the model below that line, detected across multiple satellite sensors showing the same cutoff pattern. What changes at 600 meters remains an open question. 9. Drumm's Model Says the Substructures Could Make Functional Sense Drumm's hypothesis is that each pyramid produced a specific chemical in sequence, from methane extraction at the Step Pyramid to ammonia synthesis in the Red Pyramid to sulfuric acid production in the Great Pyramid. He places the operational period during the Saharan Humid Period, roughly 8500 to 5300 BC, when massive thunderstorms provided the electrical input. The Big Void sits exactly where a heat exchanger would need to be to manage exothermic reactions in the Grand Gallery. The sealed shaft beneath the Queen's Chamber aligns with his proposed product extraction system. He confirmed that he has already integrated Biondi's substructure findings into a working functional model. If the deep structures are real, they connect to known hydrothermal mineral deposits, iron ore veins, and rare earth elements embedded in the Giza bedrock. Drumm and Biondi both agree: whoever built these structures chose the Giza Plateau for a very specific reason tied to what lies beneath it. 10. Validation & What Comes Next Biondi wants to establish a foundation in Malta with a dedicated data center and GPU array to reprocess the Giza data using his superior technique. Drumm wants to go to the Giza Plateau with Biondi's team to physically investigate anomalies he has already identified near the Osiris Shaft and along the Khafre causeway. Both say the SAR method and the muon method should be combined rather than treated as competitors. Both state that the conventional dating and tomb explanation for the pyramids is wrong. And both Drumm and Biondi agree that what lies beneath the Giza Plateau is more important than what sits on top of it. They also agree on the need for further validation and stress-testing. Why This Matters A satellite technique that can see through 1.4 kilometers of mountain and accurately image the Gran Sasso Laboratory. A confirmed prediction of a hidden corridor inside the Great Pyramid years before physical verification. A detection of a sealed shaft that matches 19th century excavation records. And now, scans showing a repeating grid of massive cylindrical structures beneath the entire Giza Plateau that no conventional archaeological framework can account for. The technology has demonstrated real capability. The substructure claims remain extraordinary. The 2026 Big Void excavation and GPU-powered rescans could settle this within months. If even a fraction of what Biondi is detecting turns out to be real, we are looking at the largest undiscovered structure on Earth, hidden in plain sight beneath the most studied archaeological site in human history. Full conversation covers all of this and much more. One of the most important technical examinations of the pyramid mystery ever recorded. Live now👇

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The Nobel Prize
The Nobel Prize@NobelPrize·
“Timing is very important. You need to pick hard problems to solve and be ambitious with them. But you've also got to pick the right time when the world and the context that you're in is the right kind of environment for those ideas to flourish.” In his official Nobel Prize interview, Demis Hassabis discussed how his aspirations as a young gaming programmer were ahead of their time. Watch our official interview: bit.ly/41DGkXr
The Nobel Prize tweet media
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Vincent Rones
Vincent Rones@RonesVince7821·
@MCHammer It's get no better 4 my understanding 2 b apart of an AI MASTERPIECE! Bra, u have out-done yoself. U will achieve the OSCAR & AI FILM AWARDS.
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Startup Archive
Startup Archive@StartupArchive_·
NVIDIA CEO Jensen Huang: “I really discourage 1-on-1s” Jensen famously has 60 direct reports. When Stripe founder Patrick Collison points out that this isn’t conventionally considered best practice, Jensen shares his reasoning: “I don’t do 1-on-1s, and almost everything I say, I say to everybody all the time. I don’t really believe there’s any information that I operate on that only one or two people should hear about… I believe that when you give everybody equal access to information, that empowers people. And so that’s number one… Number two, if the CEO’s direct staff is 60 people, the number of layers you’ve removed in a company is probably something like seven.” Patrick offers to steal man the other side of the argument: “1-on-1s are where you provide coaching, where you maybe talk through personal goals and career advancement, where maybe you give feedback on something that you see somebody systematically not doing so well… Do you not do those things or do you do them in a different way?” Jensen responds: “I give you feedback right there in front of everybody. In fact, this is a really big deal. First of all, feedback is learning. For what reason are you the only person who should learn this?… We should all learn from that opportunity… Half the time I’m not right, but for me to reason through it in front of everybody helps everybody learn how to reason through it. The problem I have with 1-on-1s and taking feedback aside is you deprive a whole bunch of people that same learning. Learning from other people’s mistakes is the best way to learn.” Video source: @stripe (2024)
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