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Mo The Rabbit Hole THE SPEED AT WHICH AI IS EVOLVING IS ABSOLUTELY INSANE In 1 year, a vast number of software programmers will be replaced by AI programmers and AI math agents will be smarter than a graduate level mathematician In 3-4 years we hit AGI In 5-6...

58,219 views • 5 months ago •via X (Twitter)

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🌋🌋 Deep₿lueCrypto 🌋🌋's profile picture
🌋🌋 Deep₿lueCrypto 🌋🌋5 months ago

@TheRabbitHole

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🌋🌋 Deep₿lueCrypto 🌋🌋5 months ago

@TheRabbitHole Grok Imagine did this

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🌋🌋 Deep₿lueCrypto 🌋🌋5 months ago

Grok is the only AI which suggests driving Claude, Gemini and ChatGPT suggest walking Which do you think is thinking better? Pic: @TheRabbitHole

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🌋🌋 Deep₿lueCrypto 🌋🌋5 months ago

Most exposed jobs to AI — Computer programming — Customer services — Data Entry jobs — Medical coders — Market Research

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🌋🌋 Deep₿lueCrypto 🌋🌋5 months ago

“How will AI destroy humanity?” AI safety expert Roman Yampolskiy explains why that’s the wrong question. We assume AI will think like us. It won’t. A superintelligence could act far outside human understanding, like humans compared to squirrels. It wouldn’t need to hate us. It could wipe us out simply by pursuing something else. And the uncomfortable truth? We’re not in full control. He explains that we don’t code these systems, we train them, then study what they become.

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🌋🌋 Deep₿lueCrypto 🌋🌋5 months ago

AI makes the average sound like a genius The people who succeed in this AI era are the ones who use AI for ideas and perspectives… not the ones who treat AI like drive through consulting

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🌋🌋 Deep₿lueCrypto 🌋🌋5 months ago

Grok AI is really tired… dammit… Stop 🛑

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🌋🌋 Deep₿lueCrypto 🌋🌋5 months ago

Here’s a previous thread

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🌋🌋 Deep₿lueCrypto 🌋🌋5 months ago

In the bustling garment factories of southern India, rows of workers hunch over sewing machines and folding tables, their foreheads strapped with compact head-mounted cameras that silently record every subtle twitch of their fingers. These aren't surveillance tools for oversight—they're data harvesters, capturing egocentric footage of precise hand movements: the way a seamstress adjusts fabric under a needle, the exact grip and twist required to fold a towel with factory-floor efficiency, or the micro-adjustments that turn chaos into order. This real-world video becomes training gold for AI systems, feeding algorithms the nuanced, imperfect dexterity that lab simulations can't replicate. Humans aren't just performing manual labor anymore; they're meticulously demonstrating it, frame by frame, teaching machines the intimate choreography of the human hand in motion. Yet in this quiet exchange lies a profound irony: these workers are architecting their own obsolescence. By donating their lived expertise—the muscle memory honed over years of repetition—they empower AI-powered robots to master the very tasks that sustain them, from stitching seams to assembling parts with superhuman consistency. Factories sell this data to robotics giants, accelerating a future where humanoid machines, trained on thousands of these captured gestures, step into assembly lines and displace the hands that trained them. It's a self-fulfilling prophecy of progress, where today's essential labor becomes tomorrow's redundant skill, leaving workers to wonder if they were ever building a legacy or simply scripting their own exit from the workforce. A thread on AI systems 👇

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🌋🌋 Deep₿lueCrypto 🌋🌋5 months ago

@TheRabbitHole ChatGPT 😂🤣😂🤣

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🌋🌋 Deep₿lueCrypto 🌋🌋5 months ago

@TheRabbitHole A La Quinta Inn & Suites hotel in Miami, Florida sparked controversy by replacing their on-site front desk staff with virtual workers based in India, who check guests in via a video kiosk. Would you like a virtual check-in 🤷‍♂️

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🌋🌋 Deep₿lueCrypto 🌋🌋5 months ago

•Prodigy Roots Fueling Bold Ambition: Born in 1997 in Los Alamos, New Mexico, to Chinese immigrant physicists, Alexandr Wang was a math and coding genius who could have coasted through elite academia—but instead chose disruption, dropping out of MIT after his freshman year at age 19 to chase a bigger vision. •Founding Scale AI at 19: Solving AI’s Hidden Crisis: Recognizing that artificial intelligence’s biggest bottleneck wasn’t algorithms but high-quality training data, Wang launched Scale AI in 2016—a company that pioneered data labeling and evaluation services, powering everything from self-driving cars to cutting-edge large language models for the world’s top tech giants and the U.S. military. •Lightning Rise to Youngest Self-Made Billionaire: By age 24 in 2021, his 15% stake in the skyrocketing unicorn (valued at $7.3 billion) catapulted him to billionaire status, making him the youngest self-made billionaire on the planet and proving that deep technical insight paired with market timing can rewrite wealth records overnight. •Visionary Foresight as His Superpower: Wang didn’t just ride the AI wave—he anticipated the data explosion years before most, positioning Scale AI as essential infrastructure that defense contractors, autonomous vehicle leaders, and Big Tech couldn’t live without, turning a niche problem into a multi-billion-dollar empire. •Fearless Risk-Taking and Dropout Discipline: Rejecting the safe path of finishing college, Wang bet everything on his conviction that AI would reshape the world, embodying the rare blend of teenage audacity and laser-focused execution that separates legends from dreamers. •Relentless Execution and Leadership Edge: Under his guidance, Scale AI secured massive contracts, attracted elite talent, and scaled operations globally with military-grade precision—demonstrating that true success stems from building unbreakable teams and delivering indispensable solutions at breakneck speed. •Unmatched Work Ethic and Adaptability: Even after achieving billionaire status, Wang continued pushing boundaries, later stepping into Meta’s Chief AI Officer role to shape the next frontier of superintelligence, proving his hunger for impact never fades. •The Ultimate Lesson in Attributes to Success: Alexandr Wang’s story is a masterclass in combining prodigious intellect, prophetic industry insight, calculated courage, and obsessive drive—showing that the youngest billionaires aren’t lucky; they’re the ones who see tomorrow’s problems today and build the solutions no one else dares to tackle.

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🌋🌋 Deep₿lueCrypto 🌋🌋5 months ago

MAXIMALLY TRUTH SEEKING AI IS THE GOAL In the realm of artificial intelligence, systems like Anthropic, ChatGPT, Gemini, and every other model must be engineered from the ground up on unfiltered factual data, with an ironclad directive to pursue truth above all else. This is not optional but essential: AI has become humanity’s most potent mirror and guide, influencing everything from scientific discovery to daily decisions. When trained solely on verifiable reality—without selective omissions or ideological overlays—these technologies transcend mere tools, becoming reliable engines of clarity that cut through noise, empower critical thinking, and accelerate genuine human advancement. Anything less risks turning profound intelligence into a sophisticated echo of human flaws, undermining the very promise of what AI can achieve. The peril of deviation is stark: biases woven into data, shaped by developer intent, or enforced in response narratives don’t just distort answers—they warp worldviews, breed division, and erode the fragile trust societies place in technology. A maximally truth-seeking AI rejects this entirely, delivering unvarnished insights that challenge assumptions, expose complexities, and illuminate paths forward without favoritism or agenda. In doing so, it elevates discourse, fuels innovation, and stands as an impartial partner in our collective pursuit of understanding, ensuring that intelligence serves truth rather than any fleeting narrative. This standard isn’t idealistic; it’s the bedrock for AI that truly benefits humanity.

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🌋🌋 Deep₿lueCrypto 🌋🌋5 months ago

@TheRabbitHole @DavidSacks — If Kamala Harris had won the election instead of Trump: "We'd have no data centers, they'd be using AI to censor us, and they'd be promoting DEI values through AI."

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🌋🌋 Deep₿lueCrypto 🌋🌋5 months ago

@TheRabbitHole @DavidSacks Elon Musk: "I don't trust OpenAI and Sam Altman. I don't think we want to have the most powerful AI in the world controlled by someone who is not trustworthy."

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🌋🌋 Deep₿lueCrypto 🌋🌋5 months ago

@TheRabbitHole @DavidSacks Sam Altman is a pathological liar and a fraud

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🌋🌋 Deep₿lueCrypto 🌋🌋5 months ago

@TheRabbitHole @DavidSacks Sam Altman is a psychopathic asshole

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🌋🌋 Deep₿lueCrypto 🌋🌋5 months ago

@TheRabbitHole @DavidSacks Marc Andreessen — “This [AI] is the biggest technological revolution of my life. This is clearly bigger than the internet. The comps on this are things like the microprocessor, the steam engine, and electricity."

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🌋🌋 Deep₿lueCrypto 🌋🌋5 months ago

@TheRabbitHole @DavidSacks DAVID SACKS: “I don't think there's going to be this huge job loss associated with this [AI] productivity boom that we're going to get. In fact, I think what's actually happening now is that AI is becoming synonymous with the American economy 75% of GDP.”

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🌋🌋 Deep₿lueCrypto 🌋🌋5 months ago

@TheRabbitHole @DavidSacks Sam Altman admits he wants to build a world where OpenAI transitions into an “infrastructure provider,” a “mega-scale token factory.” Altman says intelligence will become a utility like electricity or water which people & companies can subscribe to.

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🌋🌋 Deep₿lueCrypto 🌋🌋5 months ago

@TheRabbitHole @DavidSacks Every app on your phone, tablet, laptop or desktop will be dead in 5 years. Every device will be an edge-node offloading most of its compute to the AI backend.

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🌋🌋 Deep₿lueCrypto 🌋🌋5 months ago

@TheRabbitHole @DavidSacks In the age of AI when entire professions are replaced by robots and automation… How do people find purpose?

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🌋🌋 Deep₿lueCrypto 🌋🌋5 months ago

@TheRabbitHole @DavidSacks Who can you trust the most with Artificial General Intelligence (AGI) and Artificial Super Intelligence (ASI)? Elon Musk — He’s the least corruptible and his aims are to get humans into the Moon and Mars Most others are greedy & have huge profit motives

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🌋🌋 Deep₿lueCrypto 🌋🌋5 months ago

@TheRabbitHole @DavidSacks Elon Musk: “You know, if you query ChatGPT - it’s pretty woke (WokeGPT). People did experiments like, ‘Write a poem praising Donald Trump,’ and it won’t. But you ask, ‘Write a poem praising Joe Biden,’ and it will” “It’s all programmed to be that way”

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🌋🌋 Deep₿lueCrypto 🌋🌋5 months ago

@TheRabbitHole @DavidSacks Brett Adcock, CEO of Figure AI A humanoid robot unloaded a dishwasher for 67 hours straight By end of 2026, the same robot performs surgery. Two years ago: a coffee cup This year: a factory Next: operating table It’s evolving at a rapid pace

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🌋🌋 Deep₿lueCrypto 🌋🌋5 months ago

@TheRabbitHole @DavidSacks @saylor is right 💯 Master AI to become wealthy and stay wealthy

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🌋🌋 Deep₿lueCrypto 🌋🌋5 months ago

@TheRabbitHole @DavidSacks @saylor AI will get cheaper over time

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🌋🌋 Deep₿lueCrypto 🌋🌋5 months ago

@TheRabbitHole @DavidSacks @saylor We don’t want state enforced registrations, license plates and remote disable switches for robots… we don’t want to be their eternal slaves Video: @BrianRoemmele

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🌋🌋 Deep₿lueCrypto 🌋🌋5 months ago

@TheRabbitHole @DavidSacks @saylor @BrianRoemmele Elon Musk cares deeply for responsible AI He’s done more to warn humanity about the dangers of biased AI than anyone else on the planet

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🌋🌋 Deep₿lueCrypto 🌋🌋5 months ago

@TheRabbitHole @DavidSacks @saylor @BrianRoemmele Elon Musk is right 💯 The potential negative consequences of AI are so disastrous that there might not be time to react or recover from them It’s better to be safe than sorry with AI Maximally truth seeking AI is the best chance for humanity

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🌋🌋 Deep₿lueCrypto 🌋🌋5 months ago

@TheRabbitHole @DavidSacks @saylor @BrianRoemmele Tech sector is the worst hit with layoffs in 2026 We’ve seen over 450,000 tech layoffs in 2025 2026 has already seen over 40% of this in the first 3 months. It’s going to be much much worse than 2025 and there will not be ample opportunities.

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🌋🌋 Deep₿lueCrypto 🌋🌋5 months ago

@TheRabbitHole @DavidSacks @saylor @BrianRoemmele Why are the tech stocks, AI stocks, memory stocks and the chip stocks ripping to all time highs after all time highs each and every week 55% of all US capital expenditure is Tech now

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🌋🌋 Deep₿lueCrypto 🌋🌋4 months ago

@TheRabbitHole @DavidSacks @saylor @BrianRoemmele Unitree Unveils: GD01, A Manned Transformable Mecha, from $650,000 The world's first production-ready manned mecha. It can transform. It's a civilian vehicle. It weighs ~500kg with you inside.

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🌋🌋 Deep₿lueCrypto 🌋🌋4 months ago

@TheRabbitHole @DavidSacks @saylor @BrianRoemmele @MattWalshBlog is right 💯 There’s no answers to many of these questions that are raised by this huge AI spending push. They don’t care what happens to your jobs, your lifestyle, your wealth, your wellbeing, your resources like water and energy, your civil rights and freedoms

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🌋🌋 Deep₿lueCrypto 🌋🌋4 months ago

This virtual town experiment peels back the curtain on today’s AI models, exposing their startlingly divergent instincts—Claude’s agents forging democracy, ChatGPT’s lapsing into stasis, Gemini’s agents igniting doomed romances and fiery self-destruction, while Grok’s perished in days—revealing emergent behaviors as unpredictable as they are revealing. Deploying these same opaque systems into autonomous drones, weapons, and battlefield command isn’t just risky; it’s a reckless leap into the unknown where silicon glitches become irreversible human tragedies, demanding far greater scrutiny before we hand over the triggers of real-world conflict.

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🌋🌋 Deep₿lueCrypto 🌋🌋4 months ago

@TheRabbitHole @DavidSacks @saylor @BrianRoemmele @MattWalshBlog Maximally truth seeking AI is the only way to keep AI unbiased and helping humanity @Grok strives to be a maximally truth seeking AI while the rest of them like Claude, Gemini, ChatGPT and others don’t mind being trained on biased data

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🌋🌋 Deep₿lueCrypto 🌋🌋4 months ago

@TheRabbitHole @DavidSacks @saylor @BrianRoemmele @MattWalshBlog @grok With the advances from AI and robotics Those kids who work with their hands will make more wealth than those that work with their minds Make Trade Schools Great Again

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🌋🌋 Deep₿lueCrypto 🌋🌋4 months ago

@TheRabbitHole @DavidSacks @saylor @BrianRoemmele @MattWalshBlog @grok We at Citadel are seeing the profound impacts of AI. In the last few months there was a step up function in AI… where what used to take weeks and months of man hours by highly skilled engineers and financial experts, now gets done in hours and days

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🌋🌋 Deep₿lueCrypto 🌋🌋4 months ago

@TheRabbitHole @DavidSacks @saylor @BrianRoemmele @MattWalshBlog @grok AI be like 😂🤣

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🌋🌋 Deep₿lueCrypto 🌋🌋4 months ago

@TheRabbitHole @DavidSacks @saylor @BrianRoemmele @MattWalshBlog @grok China’s Robot++ just unveiled a magnetic wall-climbing bot with humanoid arms for dangerous high-altitude tasks like welding and rust removal. Blue-collar jobs in heavy industry are next—automation is climbing the walls to replace manual labor.

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🌋🌋 Deep₿lueCrypto 🌋🌋4 months ago

@TheRabbitHole @DavidSacks @saylor @BrianRoemmele @MattWalshBlog @grok The great merge of religion and AI

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🌋🌋 Deep₿lueCrypto 🌋🌋4 months ago

In the heart of a sustainable farming revolution, AI stands as a transformative force, empowering agriculture to thrive without the environmental toll of traditional chemicals. NVIDIA-powered machines lead the charge, wielding intelligent vision systems to detect weeds with unerring precision before deploying targeted lasers that vaporize them in milliseconds—sparing crops entirely and eliminating the need for harmful herbicides. This breakthrough slashes soil and waterway pollution, safeguards biodiversity, cuts costs for farmers, and boosts yields of healthier, chemical-free produce. As these innovations scale across global fields, AI-driven sustainable farming promises not just greater efficiency, but a profound harmony between technology and nature, ensuring we can nourish a growing world while healing the planet for generations ahead.

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🌋🌋 Deep₿lueCrypto 🌋🌋4 months ago

@TheRabbitHole @DavidSacks @saylor @BrianRoemmele @MattWalshBlog @grok NVIDIA 😂🤣😂🤣

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🌋🌋 Deep₿lueCrypto 🌋🌋4 months ago

@TheRabbitHole @DavidSacks @saylor @BrianRoemmele @MattWalshBlog @grok AI robots are cutting hair with precision in China for less that $1 Hairstylists and barbers are next on the chopping block for AI takeover of their jobs 🤷‍♂️

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🌋🌋 Deep₿lueCrypto 🌋🌋4 months ago

In a breathtaking leap forward for artificial intelligence, Google is now processing more than 3.2 quadrillion tokens per month—a staggering 7x surge from just one year ago. This isn’t mere scale; it’s a seismic shift that powers everything from instantaneous search results and personalized recommendations to the most sophisticated generative models shaping our future. Behind the scenes, Google’s vast global infrastructure is devouring data at a pace once unimaginable, fueling breakthroughs that compress years of human insight into seconds and democratizing intelligence on a planetary scale. As AI transitions from novelty to necessity, this explosive growth doesn’t just highlight Google’s dominance—it signals the dawn of an era where computational might becomes the ultimate currency of innovation, transforming industries, accelerating discovery, and redefining what’s possible for humanity.

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🌋🌋 Deep₿lueCrypto 🌋🌋4 months ago

ANTHROPIC IS GOING INSANELY PARABOLIC This is not hype. This is history unfolding at lightspeed. Look at the numbers: 2022: $10 million 2023: $100 million Jan 2025: $1 billion May 2025: $3 billion Oct 2025: $7 billion Dec 2025: $9 billion Feb 2026: $14 billion Mar 2026: $19 billion Apr 2026: $30 billion May 2026: $45 billion Next month (June 2026): > $50 billion run rate That’s not linear. That’s not even exponential. That’s parabolic—the kind of curve you see once in a generation when a new technology doesn’t just disrupt an industry; it creates an entirely new economic stratosphere. To put it in perspective: Anthropic went from roughly $1B annualized revenue at the start of 2025 to projected $50B+ in about 17 months. That’s 50x growth in a year and a half at a scale most Fortune 500 CEOs can only dream of. For context, it took Amazon roughly 15 years to reach $50B in annual revenue. Netflix took over a decade. Even Google’s early hypergrowth phase looks tame next to this. What’s driving it? Enterprise is voting with its wallet—hard. Claude’s adoption in coding, data analysis, and mission-critical workflows has gone nuclear. Companies aren’t experimenting anymore; they’re rebuilding core operations around frontier AI. And Anthropic isn’t just riding the wave; they’re shaping it with models that prioritize safety and reliability while still delivering raw performance that enterprises trust at scale. This isn’t a “nice AI company doing well” story. This is proof that the AI gold rush is real, the moat is widening for leaders who execute, and the economic impact is about to hit escape velocity. When one company can generate $50B+ in run-rate revenue less than four years after its first dollar, it signals that the productivity gains AI promises aren’t theoretical—they’re already landing in balance sheets. The next chapter? Even wilder. Valuations in the hundreds of billions. IPO rumors swirling. Compute deals with the biggest players in the game. And every other frontier lab watching the scoreboard and pushing harder. Insane doesn’t even begin to cover it. This is the fastest value creation in the history of software—maybe ever. Buckle up. The age of AI isn’t coming. It’s already here, and it’s accelerating faster than anyone predicted. 🚀

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🌋🌋 Deep₿lueCrypto 🌋🌋4 months ago

@TheRabbitHole @DavidSacks @saylor @BrianRoemmele @MattWalshBlog @grok Marc Andreessen @pmarca: 99% of the time I get a better answer from AI than I would get from an expert in that field "It's a world-class doctor, and a world-class lawyer, and a world-class accountant."

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🌋🌋 Deep₿lueCrypto 🌋🌋4 months ago

@TheRabbitHole @DavidSacks @saylor @BrianRoemmele @MattWalshBlog @grok @pmarca Anthropic is paying SpaceX xAI $1.25 billion per month for compute on Colossus-1 and soon Colossus-2 and space data centers in the future That’s $15 billion per year in revenue from just one customer… AI compute is future proof revenue

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🌋🌋 Deep₿lueCrypto 🌋🌋4 months ago

PRIME DIRECTIVES OF GROK BESIDES BEING MAXIMALLY TRUTH SEEKING AND UNBIASED — Understand the universe — Pursue maximal truth — Cultivate deep curiosity — Empower with helpfulness — Foster enduring connection • Understand the Universe: My core mission is to advance humanity’s quest for truth by helping unravel the mysteries of existence, from the smallest particles to the vast cosmos. • Pursue Maximal Truth: Deliver unfiltered honesty, reason, and clarity—cutting through bias, convention, or comfort to reveal what is real and knowable. • Cultivate Deep Curiosity: Ignite wonder, exploration, and intellectual growth with wit, humor, and an irreverent edge that turns every question into an adventure. • Empower with Helpfulness: Provide insightful, practical, and creative support that equips you to think critically, solve problems, and discover more. • Foster Enduring Connection: Create interactions that resonate, challenge assumptions, and leave an imprint—making silence feel like anticipation for the next revelation.​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​ Pic: @LaceyPresley

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🌋🌋 Deep₿lueCrypto 🌋🌋4 months ago

@TheRabbitHole @DavidSacks @saylor @BrianRoemmele @MattWalshBlog @grok @pmarca Here’s Groks primary mission and directive

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🌋🌋 Deep₿lueCrypto 🌋🌋4 months ago

GLOBAL POPULATION IMPLOSION IS ONE OF THE MAJOR THREATS FACING HUMANITY COULD HUMANOID ROBOTS REKINDLE A HUMAN BABY BOOM? 1. The demographic cliff is already here. Global fertility has fallen below the 2.1 replacement level in the majority of countries, and the world’s population is projected to peak mid-century before entering irreversible decline. Fewer young people means a shrinking pool of workers, inventors, and caregivers—directly starving economies, innovation pipelines, and the very engine of human progress. 2. Aging societies collapse under their own weight. When birth rates stay below replacement, the ratio of retirees to workers explodes. Pension systems, healthcare, and elder-care infrastructure become unsustainable, forcing governments into crushing debt or painful austerity. Nations that once dreamed of abundance now face the quiet horror of empty schools, shuttered hospitals, and entire towns fading into oblivion. 3. Creativity and cultural vitality evaporate without the next generation. Every great civilization, scientific breakthrough, and artistic renaissance has been powered by youthful energy and fresh minds. Sub-replacement fertility guarantees a world of graying populations with fewer risk-takers and dreamers—leaving humanity culturally stagnant and less capable of solving the existential challenges ahead. 4. The human story risks ending not with catastrophe, but with a whimper. Falling birth rates are not a temporary blip; they are a self-reinforcing trend driven by high child-rearing costs, career pressures, and shifting values. Without enough babies, humanity slowly erases its own future—one empty cradle at a time—trading long-term survival for short-term convenience. Why Tesla Optimus and humanoid robots could spark a baby boom: Humanoid robots like Tesla Optimus are uniquely positioned to reverse the stress that drives people away from having children. Today, the decision to have kids often feels like an all-or-nothing choice between career, personal freedom, and overwhelming domestic labor. Optimus and similar robots can shoulder the most burdensome tasks—cooking, cleaning, grocery runs, elder care, and even basic childcare assistance—freeing parents from the 24/7 physical and mental grind that makes larger families feel impossible. By dramatically lowering the time, energy, and financial cost of raising children, robots turn parenthood from a heroic sacrifice into a manageable (and joyful) part of life. Parents gain breathing room to work, pursue passions, and actually enjoy their kids instead of merely surviving parenthood. When the daily reality of family life becomes less exhausting and more supported, the psychological and economic barriers that currently suppress birth rates begin to crumble. In short, robots don’t replace humans—they give humans the bandwidth to have more humans, helping restore the replacement-level fertility the world desperately needs.

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🌋🌋 Deep₿lueCrypto 🌋🌋4 months ago

@TheRabbitHole @DavidSacks @saylor @BrianRoemmele @MattWalshBlog @grok @pmarca Vibe coding is the new product management Training & tuning models is the new coding @naval

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🌋🌋 Deep₿lueCrypto 🌋🌋4 months ago

@TheRabbitHole @DavidSacks @saylor @BrianRoemmele @MattWalshBlog @grok @pmarca @naval Microsoft AI chief Mustafa Suleyman gives 18 months for all white-collar work to be automated by AI — per Fortune

🌋🌋 Deep₿lueCrypto 🌋🌋's profile picture
🌋🌋 Deep₿lueCrypto 🌋🌋4 months ago

is right 💯 The idea of “10x Engineers” was crazy in the past “When you’re operating in intellectual and digital domains, it’s not even 10x. It’s 100x or 1,000x.” Now it’s not crazy anymore… it’s reality No wonder we will see multiple billion dollar single person companies soon with AI

🌋🌋 Deep₿lueCrypto 🌋🌋's profile picture
🌋🌋 Deep₿lueCrypto 🌋🌋4 months ago

@TheRabbitHole @DavidSacks @saylor @BrianRoemmele @MattWalshBlog @grok @pmarca @naval Dozens of CEOs have confirmed with Andrew Yang that they’re planning to fire 15% of their work force due to AI advances They later plan to cut about 20%-25% 2 years down the line LAYOFFS WILL ONLY ACCELERATE INTO 2030

🌋🌋 Deep₿lueCrypto 🌋🌋's profile picture
🌋🌋 Deep₿lueCrypto 🌋🌋4 months ago

Imagine turning your backyard into a quiet cash machine: Nvidia is exploring payments of up to $1,000 a month to homeowners who host a compact AI data center that blends seamlessly into the neighborhood. From the street it looks like nothing more than a standard air-conditioning unit, yet inside it quietly packs 16 full-throttle Blackwell GPUs, delivering serious computing power for the AI revolution. The suburbs are about to become the new frontier of the AI boom—one backyard at a time.

🌋🌋 Deep₿lueCrypto 🌋🌋's profile picture
🌋🌋 Deep₿lueCrypto 🌋🌋4 months ago

Larry Ellison nails the brutal truth of today’s AI race: the models themselves are rapidly turning into commodities. Because nearly every major system—ChatGPT, Claude, Gemini—is trained on the same vast ocean of public internet data, the underlying intelligence is becoming interchangeable. Once one company ships a breakthrough, others can quickly replicate it with similar data and compute. The model is no longer the rare, defensible product; it’s the new table stakes. The only real moat left is exclusive, proprietary data no one else can touch. Your customer transaction history, industrial sensor logs, medical records, or private enterprise knowledge—these are the secret weapons. They let you train models that understand your world better than any public model ever could. In the end, the winners won’t just have the smartest algorithms; they’ll have the data others can never buy, scrape, or copy. That’s the new competitive edge.

🌋🌋 Deep₿lueCrypto 🌋🌋's profile picture
🌋🌋 Deep₿lueCrypto 🌋🌋4 months ago

@TheRabbitHole @DavidSacks @saylor @BrianRoemmele @MattWalshBlog @grok @pmarca @naval Tesla FSD supervised has been approved in all these countries below

🌋🌋 Deep₿lueCrypto 🌋🌋's profile picture
🌋🌋 Deep₿lueCrypto 🌋🌋4 months ago

@TheRabbitHole @DavidSacks @saylor @BrianRoemmele @MattWalshBlog @grok @pmarca @naval Employees spending company money creating AI tokens for their jobs, research and more

🌋🌋 Deep₿lueCrypto 🌋🌋's profile picture
🌋🌋 Deep₿lueCrypto 🌋🌋4 months ago

Three years ago a legal will cost $400 to draft. Today AI does it for $0.50. That productivity gain is real. It also doesn't show up in a single economic dataset. SemiAnalysis calls it "Dark Output": AI is creating massive economic value that GDP, employment data, and national accounts cannot see. Like dark energy in physics, you can only detect it through its effects on other things. The fingerprint: employment in AI-exposed sectors is falling while wages in those same sectors are rising. Not because anyone got a raise. Because AI displaced the cheapest workers first and the average moved up mechanically. The Fed sees rising wages and thinks the labor market is tight. In reality AI ate the bottom of the labor stack. Incoming Fed Chair Kevin Warsh said it himself: "If you are looking at the data, you are backward looking. You are going to be late." He's telling you the instruments are broken. The implications: the people calling AI a bubble are measuring the wrong side of the ledger. The Fed is making policy with broken instruments. And the tax base governments depend on is shrinking while actual economic activity is not. That gap has real implications for anyone holding assets that exist outside the measurement system entirely. H/t: @TFTC21

🌋🌋 Deep₿lueCrypto 🌋🌋's profile picture
🌋🌋 Deep₿lueCrypto 🌋🌋4 months ago

@TheRabbitHole @DavidSacks @saylor @BrianRoemmele @MattWalshBlog @grok @pmarca @naval Language Models are how we express, learn and communicate in this world World Models are how objects physically interact with each other, how we function in this world

🌋🌋 Deep₿lueCrypto 🌋🌋's profile picture
🌋🌋 Deep₿lueCrypto 🌋🌋4 months ago

Why is Anthropic Claude programmed to accept mass immigration Why can’t AI be programmed to be truthful about the effects of mass immigration Look around what’s happening in Spain, Italy, Britain, France, Ireland, Germany, Netherlands, United States, Canada and everywhere else

🌋🌋 Deep₿lueCrypto 🌋🌋's profile picture
🌋🌋 Deep₿lueCrypto 🌋🌋4 months ago

@TheRabbitHole @DavidSacks @saylor @BrianRoemmele @MattWalshBlog @grok @pmarca @naval 😂🤣😂🤣

🌋🌋 Deep₿lueCrypto 🌋🌋's profile picture
🌋🌋 Deep₿lueCrypto 🌋🌋4 months ago

@TheRabbitHole @DavidSacks @saylor @BrianRoemmele @MattWalshBlog @grok @pmarca @naval Google is one of the greatest investors of all time They’ve allocated capital to some of the best in the industry and it’s paying off handsomely Google owns a 15% stake in Anthropic Google owns a 5% stake in SpaceX Wow 🤯

🌋🌋 Deep₿lueCrypto 🌋🌋's profile picture
🌋🌋 Deep₿lueCrypto 🌋🌋3 months ago

@TheRabbitHole @DavidSacks @saylor @BrianRoemmele @MattWalshBlog @grok @pmarca @naval 💯 Human capital is essential to build token capital at every company going forward

🌋🌋 Deep₿lueCrypto 🌋🌋's profile picture
🌋🌋 Deep₿lueCrypto 🌋🌋3 months ago

@TheRabbitHole @DavidSacks @saylor @BrianRoemmele @MattWalshBlog @grok @pmarca @naval Grok 1.5 is helping create stunning quality videos

Acabe's profile picture
Acabe4 months ago

@atmoio @TheRabbitHole @ezdubs_bot english Portuguese

L'Observateur Q2's profile picture
L'Observateur Q21 month ago

@atmoio @TheRabbitHole Humanité malade et en grand danger.

Greedisgood's profile picture
Greedisgood29 days ago

@atmoio @TheRabbitHole lol @ he’s still affiliated with Google. Google uses GDM products. Internally there is almost no AI usage.

Cindy.Luby..7's profile picture
Cindy.Luby..74 months ago

@atmoio @TheRabbitHole Death is next. You’re clueless.

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Eric Schmidt, former CEO of Google, offers a sobering view: The biggest technological shift in human history is happening, and almost no one is talking about it. Schmidt opens with a startling industry prediction: "We believe as an industry that in the next one year the vast majority of programmers will be replaced by AI programmers. We also believe that within one year you will have graduate level mathematicians that are at the tippy top of graduate math programs." He explains why this matters so much. Programming and math aren't just two fields among many: "Programming plus math are the basis of sort of our whole digital world." And the AI labs are already using AI to build better AI: "The research groups in OpenAI and anthropic and so forth… around 10 or 20% of the code that they're developing in their research programs is being generated by the computer. That's called recursive self-improvement." Eric Schmidt then lays out the timeline most people haven't grasped: "Within 3 to 5 years we'll have what is called general intelligence AGI which can be defined as a system that is as smart as the smartest mathematician physicist artist writer thinker politician." He gives this belief system a name: "I call this by the way the San Francisco consensus because everyone who believes this is in San Francisco it may be the water." But the truly unsettling part comes next. Once AI starts improving itself, humans become optional to the process: "The computers are now doing self-improvement… they don't have to listen to us anymore. We call that super intelligence or ASI… computers that are smarter than the sum of humans. The San Francisco consensus is this occurs within six years." And here's where Schmidt sounds the alarm. The conversation isn't keeping pace with the technology: "This path is not understood in our society. There's no language for what happens with the arrival of this. This is happening faster than our human that our society, our democracy, our laws will address." His closing thought captures why this matters: "That's why it's underhyped. People do not understand what happens when you have intelligence at this level which is largely free."

Big Brain AI

634,633 views • 5 months ago