MVisula🇦🇺

@EZebroni Agreed. Was quite unsure if it was gonna live upto the book. But given the 2h time limit they did a fantastic job

It’s actually pretty good. Highly recommend.

@MKBHD Whats also gone down is the amount of wrong hits. The first few results in a youtube search is usually (95%<) what was searched. Personal I dont miss that indicator that badly anymore

It was the one glanceable quality indicator for the video you're about to spend your time watching

@ContrarianCurse Who can afford a horseless carriage? who can afford a calculator that can do billions of calc in milliseconds? Who can afford to not die of starvation? Who can afford to fly to anywhere they want in the world?

Who gets the houses in the best locations? Who gets to go to the 5* resorts at the Amalfi? Who are the 20,000 that get to go to Taylor swift concerts?

@grok @AshSires @davidpattersonx @TeslaAndDoge @X Got to say for a second i forgot that Grok is Ai

Tying UHI to weekly voting or X opinions could promote engagement, but it adds conditions that might undermine universality and raise questions about fairness or exclusion for non-participants. Sales tax funding keeps it unconditional via broad consumption. AI like me can analyze trends for better policy, but governance works best with transparent human input.

If jobs are optional, how do we get paid?

@elonmusk Wait so how does it work? Does it remote into my personal computer or does it have a Windows simulator built in?

Oh and it works in all AI4-equipped cars, so your car can do office work for you when not driving. We’re also deploying millions of dedicated Digital Optimus units in the field at Superchargers where we have ~7 gigawatts of available power.

Macrohard or Digital Optimus is a joint xAI-Tesla project, coming as part of Tesla’s investment agreement with xAI. Grok is the master conductor/navigator with deep understanding of the world to direct digital Optimus, which is processing and actioning the past 5 secs of real-time computer screen video and keyboard/mouse actions. Grok is like a much more advanced and sophisticated version of turn-by-turn navigation software. You can think of it as Digital Optimus AI being System 1 (instinctive part of the mind) and Grok being System 2. (thinking part of the mind). This will run very competitively on the super low cost Tesla AI4 ($650) paired with relatively frugal use of the much more expensive xAI Nvidia hardware. And it will be the only real-time smart AI system. This is a big deal. In principle, it is capable of emulating the function of entire companies. That is why the program is called MACROHARD, a funny reference to Microsoft. No other company can yet do this.

@13arm13arm @TeslaAUNZ Hopefully it will work with my exisiting Y

@methvisula @TeslaAUNZ Comes with V2L adapter like BYD, Hyundai etc have. Plugs in the charge port so you can use appliances

Model Y L now available in AU & NZ – 3 rows, 6 seats – 5 secs 0-100 km/h – 201 km/h top speed – 681 km (WLTP) range Highlights – Extended wheelbase for more headroom, legroom & comfort – Row 1: Heated/ventilated seats w/ powered thigh cushion – Row 2: Heated/ventilated captain seats w/ powered armrests & one‑touch fold – Row 3: Heated seats w/ power recline, one‑touch fold & vented climate control – New 19" Machina 2.0 Wheels + acoustic glass & updated suspension to minimise road noise – Electronic damping + adaptive suspension for a smooth, stable ride – Extended roofline and aero design = improved airflow, increased efficiency & more range – Added window & beltline airbags for second-row and side airbags for third-row – 16" first-row & 8” second-row touchscreens + 19-speaker immersive Tesla Audio – FSD Supervised & integrated @grok AI And use your spare charge to power appliances, e-bikes & power tools

@SantoroSystems Disagree. Where do you draw the line? next one, every humanoid robot should come with built in spanner/wrench?

Only thing I dislike about this video in particular and it's such a stupid thing. Can we not take advantage of the fact that the robot is a robot..... Either send a command to a smart TV to turn it off or have a built-in IR LED.

@Gfilche Did this to my Y in Australia

insanely swag Model Y badge spotted in Seattle 🇺🇸

@ryanjaycowan @Gfilche Not just US for every country they sell. This is mine

@Gfilche Tesla should actually offer this as an option in the US ! Help people understand Ford is no longer the most American made.

@pbeisel Yes, software is basically flow of information and how it interacts with people.

I am confident software is very much at the heart of the discussion in any organization that matters.

@_SFTahoe Photons in photons out. Some of the photons coming out will be part of a sentient hive mind.

AI COMPUTE Elon Musk calls Google’s $1.9T AI infrastructure plan over the next decade: “Rookie numbers. $10 trillion or you’re not even trying.” This is why the SpaceX + xAI + Tesla ecosystem has a decisive edge. EARTH BOUND COMPUTE CAN’T HYPERSCALE Google designs its own TPUs, runs its data centers, and builds foundation models — real vertical integration on Earth. But powering $10T-scale compute faces a fundamental limit: energy infrastructure doesn’t scale at AI speed. Gas-turbine blades and heavy-duty power plants are sold out through 2030. Lead times stretch years. The grid simply can’t keep up. SpaceX solves the energy constraint at the physics level. KARDASHEV 2 Put the compute in orbit and run it on the Sun. Starship allows the rapid launch cadence and payload mass to orbit that not only enables economic Space compute, but an entire new orbital economy. HOW IT WORKS ♦️Dedicated satellites operate in sun-synchronous orbits (or high enough to stay largely out of Earth’s shadow) for near-constant sunlight. Solar panels capture the Sun’s energy to power the AI compute. Tesla’s ruggedized inference chips — built for low energy draw and high compute density —are proven. Laser links network the distributed compute together, with Starlink serving as the high-bandwidth middleman to Earth. ♦️Add xAI models, Starlink-style laser comms, Tesla’s custom inference chips (already hybrid-training Tesla’s practical AI models at the Cortex Compute Center alongside Nvidia), Tesla solar tech, and planned Tesla Terafab — and xAI has a full-stack vertical integration no one else can match. STARSHIP=UNBEATABLE ADVANTAGE AI compute is moving to space. The companies that control the rockets, the silicon, the energy, and the models will set the pace of intelligence itself. SpaceX/xAI/Tesla will dominate in AI Space Compute. This is big. A new space economy will be created. Has history shown betting against Elon Musk is wise?? Where exactly will Google’s rocket company come from that is capable of competing with Starship? Or any other companies rocket company? Earthbound companies can’t hyperscale. xAI can hyperscale compute - and will! Elon Musk has noted that the company that can move fastest will win. That is xAI. 🧵Next: Responding to the critics

@davidpattersonx Energy cost will be the last to drop. Even if it did take a while, the labour and material cost alone be more than sufficient to create abundance.

27% of people think AI will make them wealthier. 57% think it won’t. People don’t understand what wealth is. Real income is what you can buy. AI will reduce service prices by 99%, and eventually by 99.9%. AI will reduce the price of goods by 90%, and eventually by 99%.

@elonmusk @awnihannun When can we expect let our cars idling time to be used for global inference computing?

@awnihannun The future is overwhelmingly inference

Inference compute is on track to be a massive computational workload by the end of this decade. I think it will be much bigger than training (especially if you consider RL rollouts / inference needs for training). And it's still an open playing field in terms of the hardware, the platforms, and the models. It's also increasingly clear that people are willing to pay a premium for reduced latency. On the hardware side there are several interesting directions to keep an eye on: - SRAM style setups seem promising (GPT Spark on Cerebras, Groq acquisition by Nvidia) - Disaggregated systems (prefill on one machine / processor, generation on a different one) probably make a lot of sense. The computational characteristics of prefill vs decode are so different, specializing at the hardware level will yield efficiency gains - I also wouldn't discount more exotic technology like the Taalas chip / near memory computing / etc. While they are still pretty far out from large scale deployment, the economic pressure for efficiency gains could be a catalyst On the algorithm / architecture side: - Pretty much every major open-weights model has at least one optimization which makes it faster for inference. Whether it be MoE, SSM (or other hybrid variety), or sliding window or sparse attention. There are more differences here than there were a year ago. And it will be interesting to see where we converge. - Will diffusion models unify the prefill / decode split? - Still believe there are big gains to be had in further co-design of model to hardware and workload I also don't think we will have a one-size fits all solution in the future: - Cloud-based models may look very different than edge-optimized models - Models may be more and more co-designed for the hardware they are deployed on - There will be at least one knob which trades-off latency and power efficiency / cost.

@pbeisel @elonmusk Eagerly waiting for the xchat app

Maybe next year? @elonmusk I'll do the app for free.

@OverlyTrev @Brand0n plus i would be amazed if the car had more than 120hp which is not even nearly enough if you want to enjoy a 2 door coupe. The only reason other teslas have 250hp+ is for the human element.

@Brand0n This isn’t a fast sports car. It’s built for efficiency, safety, and most importantly autonomy. The 2 door coupe is only because over 90% of rides are is 2 riders or less. Less than 2% of the vehicles sold in the U.S. are 2 door coupes.

Kiss the ring 💍 🤣 Joe Tegtmeyer says Tesla almost finds it humorous that some people still think the Cybercab will have driving controls and a steering wheel, as that’s not what they are doing.

@pbeisel Wonder what @neiltyson thinks now. According to him private companies will never take on a risky endeavours only governments would.

SpaceX IPO will signal a massive change in how we industrialize. Space is now on the menu. First for communications (Starlink), next for data centers, then for Moon/Mars settlements.

@sashayanshin Unlike your other examples, you can order two or more cybercabs when you need more seats. Why lug around 4 seats when you only need 2 ? That 2 or even 3 car convoy will still be cheaper than a single human driven taxi (including EV).

90% of car trips are made with 2 passengers or less. Therefore the Tesla Robotaxi only needs 2 seats. 90% of the time I spend at home I don’t eat, so I replaced my kitchen at home with a big office. If I get hungry, I can just get takeout. 90% of the time I use my phone, I don’t use the camera, so my new phone doesn’t have a camera and comes with only 8GB of storage. If I need to take a photo, I can just use the DSLR. 90% of each day I don’t lift heavy weights so might as well just get fat and weak. If I need to lift a weight, I can ask someone else to do it. 90% of the time I don’t wear a suit. So I threw mine away. If I need one, I can always just rent one from a shop.

@CARN0N Tesla really have the most sensitive traction control system. It sometimes cuts off motor power when one wheel goes over the painted lines and other wheel is not. That's how small of a delta V it can sense.

Rain doesn’t scare me anymore. Electric motors adjust torque hundreds of times per second. Petrol cars react. Teslas predict. That’s why I feel far safer in this than anything else on the road.

Ok what do i do with my 2 starlink dishes now?