Joined June 2024
1,204 Photos and videos
x.com/wholemars/status/20609…
Two people drove their Tesla off a cliff in Malibu on Friday. All passengers survived with only moderate injuries.
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That wasn't even an Accident. Tesla Air Taxi still in Beta x.com/wholemars/status/20609…
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If @Tesla held earnings calls the way @PalantirTech $PLTR holds earnings calls, $TSLA would be at $800, lol.
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The real $TSLA Optimus V3 question is not whether Tesla can show another impressive humanoid demo. The question is whether Tesla has built a physical platform with enough headroom to become world-class at precision manipulation. Walking is increasingly commoditized. Flashy demos are increasingly commoditized. The real bottleneck is the hand/wrist/sensor/control stack: can the robot manipulate small, fragile, irregular, deformable objects with repeatable precision? That is why the “world-class surgeon” ambition matters, even if Optimus is nowhere near doing surgery today. A human surgeon is not precise because the body is a rigid CNC machine. A surgeon is precise because the nervous system constantly fuses vision, touch, proprioception and force feedback, then error-corrects in real time. For Optimus, the equivalent stack would be: high-quality mechanics tactile/force sensing accurate proprioception low-latency onboard inference real-time motor control fleet learning OTA improvement This is where Tesla’s custom AI hardware could become a serious moat. If high-end humanoid dexterity requires millisecond-level closed-loop AI control, then the race is not just about algorithms or hand design. It becomes a compute-per-robot race. A competitor may copy the hand geometry or even approximate the model architecture, but if they cannot affordably put AI5-class inference, sensing, cooling and power delivery into every robot, they may not be able to replicate the capability at scale. That said, AI does not magically fix bad hardware. If the wrist has backlash, if the fingertips cannot sense slip, if the actuators cannot modulate force, if the thermal envelope throttles, or if the hand is not durable, then no OTA update turns the robot into a surgeon. So the make-or-break signal for Optimus V3 is not “Can it dance?” or “Can it walk smoothly?” or “Can it hand Elon a drink?” The signal is whether the hardware looks like it can support elite manipulation later. Can it route cables? Insert small connectors? Handle soft or slippery objects? Use tools precisely? Modulate grip force? Recover from tiny errors? Repeat the task across multiple robots without cherry-picking? If Tesla shows that, the Optimus narrative changes immediately. Not because V3 would already be a surgeon, but because it would prove the body is no longer the bottleneck. And once the body is good enough, Tesla’s real advantage begins: manufacturing scale, fleet data, custom inference silicon, and continuous software improvement.
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Here’s what people don’t understand about circular AI financing: It doesn’t matter. What actually happens is people and companies use AI and pay the infrastructure companies for the compute. Everything else is smoke and mirrors. Models are a commodity. It’s not that Nvidia pays OpenAI to use Nvidia chips in some giant revenue inflation scam. The frontier labs are actually subcontractors of the infrastructure companies, if you will (irrational valuations notwithstanding). The part that is possibly a bubble is the frontier labs’ valuations. But Nvidia and the rest of the infra stack are not in a bubble as long as AI works. Training models isn’t special anymore—it’s just homework and somebody’s gonna do it. But no matter what, any AI has to run on something. And vice versa: if you want to sell compute to customers, you need people who train the models that drive usage. If the infrastructure companies outright own the labs going forward, that’s not a problem. SpaceX (infrastructure) already bought xAI (frontier lab), not the other way around, because that’s how the actual value flows. And this will get way more pronounced as we shift hard into massive inference. $NVDA #AI
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CJDGiesen reposted
You also did a good job. But the issue is not one of limited intellect or lacking logical faculties. (Even though "you are just stupid" rolls off the tongue) The Issue is that these people are guided by their feelings. i.e. They FEEL that Coal is safer than nuclear, even though:
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CJDGiesen reposted
Tesla could make an exclusive offer to HW3 owners: "Pay the $8000 to buy non-transferable FSD for your HW3 car and we will take care of the Retrofit" I think that's fair. Tesla gets ~$5k revenue instead of expenses. And the Owner gets what he would have gotten, had he bought AI4
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CJDGiesen reposted
🚨 THE LARGEST INVESTOR ON EARTH JUST SILENCED THE AI BUBBLE CROWD BlackRock CEO Larry Fink controls $14 trillion in assets. Every Fortune 500 CEO reads his letter before breakfast He just said this in his latest BBC interview: 1. “This is not a bubble” Fink talks directly to hyperscaler CEOs. Their message: demand is outpacing supply. Not slowing. Accelerating. They can’t build fast enough. 2. One data centre = $50 billion A single 1GW AI data centre costs over $50 billion. One tech CEO told Fink he needs 23 gigawatts by 2030. That’s over $1 trillion. From one company. 3. China is building 100GW of nuclear. Right now. That’s 30 nuclear power stations under construction. While Europe debates planning permission, China pours concrete. 4. The real bottleneck isn’t chips. It’s power. “The biggest issue that limits the West is the cost of power.” His words. Not mine. 5. AI will create a blue-collar boom Fewer analysts. More technicians (e.g. electricians, welders, plumbers). The people who build and maintain AI infrastructure will be in massive demand. 6. Energy pragmatism, not ideology Oil. Gas. Solar. Nuclear. Wind. Use everything. Cheap power = economic resilience. Expensive power = recession. The largest investor on Earth just told you exactly where the money is going. AI infrastructure demand is real and accelerating. Only constrained by power.
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CJDGiesen reposted
Announcing TERAFAB: the next step towards becoming a galactic civilization x.com/i/broadcasts/1yKAPMzlv…

SpaceX

TERAFAB Launch

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CJDGiesen reposted
Terafab was the final missing piece of the puzzle
First view of the 100kw AI Mini Sat with solar panels and heat radiator to scale. “And that’s just the Mini version. We expect future versions to go to the megawatt range.” — Elon The key missing ingredient is a terawatt of AI compute. Fully integrated fab with recursive improvement locally. Will explore non-traditional computing. Austin, TX. Optimus robots: 1-10 billion units/year. D3 chip optimized for space, designed to run hotter to minimize radiator mass. It will be the vast majority of the compute 100-200GW/yr on Earth. 1TW/yr in space because of power constraints on Earth.
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CJDGiesen reposted
First view of the 100kw AI Mini Sat with solar panels and heat radiator to scale. “And that’s just the Mini version. We expect future versions to go to the megawatt range.” — Elon The key missing ingredient is a terawatt of AI compute. Fully integrated fab with recursive improvement locally. Will explore non-traditional computing. Austin, TX. Optimus robots: 1-10 billion units/year. D3 chip optimized for space, designed to run hotter to minimize radiator mass. It will be the vast majority of the compute 100-200GW/yr on Earth. 1TW/yr in space because of power constraints on Earth.
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I find it absolutely stunning that people think Tesla is so incompetent that they need not just one of the most powerful Ai clusters to build Robotaxi and Optimus, but 2. And RANDOM Chinese companies and Western startups can do the same WITHOUT ANY OF THE PREREQUISITES?!
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CJDGiesen reposted
Terafab Project launches in 7 days
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