Jumin

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Jumin

Jumin

@JuminRubin

Hack your life and yourself. Get up to CHF 500 off ordering Tesla using this: https://t.co/JN6v7sncS7

Switzerland Katılım Şubat 2021
162 Takip Edilen226 Takipçiler
Eva McMillan ♥️
Eva McMillan ♥️@EvasTeslaSPlaid·
Same house just finished and remodeled. What’s missing?
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phil beisel
phil beisel@pbeisel·
Elon says FSD 14.3 is coming. But if you’ve been following along, it was also “two weeks away” a few months ago. That’s drawn a lot of criticism, understandably. Let’s step back and talk about what’s actually going on: engineering reality. I’ve spent years running engineering teams at Apple and Rivian, and what you’re seeing here is not unusual. Not even a little. I’m not here to defend Elon or say communication couldn’t be better. It could. But what’s happening behind the scenes is far more ordinary than people think. First, understand what kind of company Tesla is. Tesla exposes more of its internal process than most companies— you’re watching how the sausage is made, often in real time. Compare that to Apple. Products appear at a moment in time, fully formed. What you don’t see are the features that slipped, were cut, or quietly postponed to make the deadline. Most companies communicate through layers of marketing at discrete events (e.g., NVIDIA GTC). That may include a CEO keynote—but it’s still tightly controlled. Tesla, largely via Elon, doesn’t. And that creates friction. Most people are used to being in the dining room. With Tesla, you’re watching the sausage get made whether you like it or not. If that makes you uncomfortable, this model will drive you crazy no matter how it’s explained. Now, about FSD 14.3— the so-called “reasoning” release. My view: when Elon originally referenced it, it was real. It was on a roadmap with a timeline. But then reality hit. Somewhere along the way, engineering discussions likely exposed a fork: ship what’s partially there, or go deeper and "do it right". That kind of shift happens constantly. Plans change. Timelines slip. This is normal engineering behavior, not dysfunction. The difference is: you’re seeing it. At companies like Apple, those decisions are invisible. Deadlines are protected by cutting scope. At Tesla, you’re watching the scope evolve in real time. On the technical side, 14.1 and 14.2 were already producing “reasoning tokens,” as Ashok (Tesla AI VP) noted. But producing tokens isn’t the same as using them effectively. 14.3 appears to be where those tokens actually start driving behavior, more human-like decision-making in edge cases. My guess is this is where things got more complicated. The work likely started to overlap with what xAI is doing. At that point, the question becomes: do you ship an interim solution, or integrate a more capable reasoning layer? That’s not a small decision. And it likely has downstream impact— potentially even on Robotaxi timelines— because these same reasoning challenges show up there too. So the team probably made a call: go deeper, even if it costs time. And here’s the part people underestimate: great engineering teams often convince themselves the extra work is worth it… and that it won’t take that much longer. They’re usually wrong on the timeline. But often right on the outcome. At this stage, FSD isn’t about raw safety (it seems to have nailed that)— it’s about behavior. Making decisions feel natural, human, predictable in edge cases. That’s a much harder problem. So if you’re following Tesla closely, the best thing you can do is understand the process and accept the messiness that comes with it. If you want tightly controlled messaging and polished delivery, companies like Apple exist for that. Tesla is something else entirely. Fire away.
Elon Musk@elonmusk

@DBurkland @pbeisel It’s in testing right now. Wide release in a few weeks.

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Yun-Ta Tsai
Yun-Ta Tsai@yunta_tsai·
@JoeTegtmeyer Tell me about it. They asked us to write so many documents that they have no time to read them. 😆
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Tesla Europe, Middle East & Africa
Together with RDW, we have officially completed the final vehicle testing phase for Full Self-Driving (Supervised) and have submitted all documentation required for the UN R-171 approval + Article 39 exemptions. The RDW team is now reviewing the documentation and test results package internally. They have communicated the expected approval for Netherlands date of 4/10, shifting from 3/20 previously and we look forward to successful completion of this cooperation.  Following the Netherlands’ approval, European countries will be able to recognize this approval nationally. We are anticipating a possible EU-wide approval during the summer. Over the past 18 months, this approval has involved a series of intense documentation, development, testing, research & audits. Including but certainly not limited to: – 1,600,000+ km of FSD (Supervised) testing on EU roads – 13,000+ customer sales ride-alongs – 4,500+ track test scenario executions – Thousands of pages of written documentation for 400+ compliance requirements – Dozens of research studies into safety performance/results We're extremely proud of the work conducted with the RDW team up until this point. We very much look forward to the approval in April, and sharing FSD (Supervised) with our patient EU customers!
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JC Christopher
JC Christopher@JCChristopher·
I went to the exact same location of the Cybertruck accident shown in the Fox News video. This is the US-69/59 Eastex Freeway northbound HOV lane at the Y-split near the Eastex Park & Ride exit (approaching from downtown Houston toward Humble). In the Fox News video, the vehicle failed to follow the right curve, going straight into the barrier. Well, I tested it twice today with Tesla FSD engaged the entire time with zero human intervention. And unless you think I am a hologram speaking to you from another dimension now, it worked out really well. Here is the video of me taking the exact same curve twice, with Tesla FSD v14.2.2.5.
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Elon Musk
Elon Musk@elonmusk·
AI5 will punch far above its weight, because the entire Tesla AI software stack is designed to make maximally effective use of every circuit. We co-signed our AI software and hardware. Bear in mind that AI5, while it can be used for training in data centers, is primarily optimized for AI edge compute in Optimus and Robotaxi. There is still significant room for improvement. In the same half reticle and same process node, we think a single AI6 chip has the potential to match a dual SoC AI5.
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X Freeze
X Freeze@XFreeze·
Grok Imagine just changed AI filmmaking Generate your character from multiple angles → feed up to 7 shots → get one seamless cinematic video. Same face, same outfit, every single frame Then extend it shot by shot like an actual director Production houses spend millions for this kind of consistency Grok just made it a prompt
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Jumin@JuminRubin·
@iamtobi Condolences to the victims of this tragedy. 😢
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Jumin@JuminRubin·
@nymbusjp Let's put it this way. This is just the target of it's mission or Jensen's vision. There are still some journeys to go through. 🙂
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X Freeze
X Freeze@XFreeze·
Too many headlines are only talking about how a man used ChatGPT to design a cancer vaccine for his dog But the truth is Paul Conyngham himself stated that the final mRNA vaccine construct for his dog Rosie was actually designed by Grok This fact is buried deep underground The exact sequence that shrank her terminal tumor by 75%: - Sequenced the DNA: He paid $3,000 to sequence both her healthy genome and the tumor's DNA to find the damage - Analyzed the Mutations: Used AI tools like AlphaFold to compare the data and identify the cancer-specific mutated proteins - Designed with Grok: He leveraged Grok to design the final custom mRNA vaccine blueprint to target those exact mutations - Manufactured & Injected: He partnered with university researchers to manufacture the custom nanoparticle vaccine and successfully administered the doses Every headline is pushing ChatGPT....but the final design that actually shrank the cancer by 75% was done by Grok
X Freeze tweet media
Paul S. Conyngham@paul_conyngham

@elonmusk @demishassabis @garrytan The final vaccine construct for Rose was designed by Grok

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Jumin
Jumin@JuminRubin·
@SawyerMerritt The business viability of space data centers is now even confirmed by Nvidia.
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Sawyer Merritt
Sawyer Merritt@SawyerMerritt·
NEWS: Nvidia CEO Jensen Huang announced today that the company is working on a new chip/computer for orbital data-centers called Nvidia Vera Rubin Space-1. "It's going to start data-centers out in space. Of course, in space there's no conduction, no convection, there's just radiation, so we have to figure out how to cool these systems out in space, but we got lots of great engineers working on it."
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Jumin
Jumin@JuminRubin·
@pavelsvitek_ Schedule an interview to check whether it was really him who did it and whether he has the capability to do so.
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Pavel Svitek 🇨🇭
Pavel Svitek 🇨🇭@pavelsvitek_·
You are hiring frontend engineer and you see this. What do you do?
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Jumin@JuminRubin·
I think he just got other opinion about AI. It could also be his reaction to AI because of seeing the threats that professorship would not bring much values anymore because of AI. Just my wild guess. As you may heard from Marc Andreessen that with AI, the value of knowledge is lowering towards 0.
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Yashu Sharma 🍊
Yashu Sharma 🍊@heyitsyashu·
Professor Jiang Xueqin calls AI one big scam and delusion… I used to respect his views but now I realize he’s got no clue about anything
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Jumin@JuminRubin·
@BigImpactHumans No way. I even turn-on the Airplane mode and turn-off all WiFis that reach bed rooms.
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LilHumansBigImpact
LilHumansBigImpact@BigImpactHumans·
Do you sleep with your cell phone by your bed?
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