You can install our site as a web app on your iOS device by utilizing the Add to Home Screen feature in Safari. Please see this thread for more details on this.
Note: This feature may not be available in some browsers.
Cost inefficient jobs, like sorting trash into recycling.
Time to turn landfills into money.
Good review! One thing that might spoil the show though is 4680 cell supply not ramping up fast enough (IIRC Tesla said not needed until end of 2022 but afterwards). There could also be some additional ramp up delays when introducing structural pack in Berlin. Shanghai had the advantage that they didn´t have to ramp two technologies in parallel.Berlin's nominal Phase 1 capacity target is 10k Ys per week, but I don't believe that because Tesla has been understating their true factory capacity for Shanghai for years and is doing it again with the ">250,000" capacities listed on the Q2 earnings deck.
We also had the sign at the body-in-white line at the opening party saying that the takt time is 45 seconds, which implies 700k per year theoretical maximum capacity with 24/7 uptime, and probably more like >600k after accounting for downtime. This 45-second cycle was also recently confirmed by a UBS analyst report in August. We also don't know if Tesla is sandbagging with that claim of 45 seconds per car.
View attachment 858609
That was with 2018-era Model 3 Production Hell, plus all the inefficiencies of the retrofitted Fremont facility, and that was happening while the manufacturing development focus was mainly directed to Model Y and building Gigafactory Shanghai. The 2018 Model 3 ramp was extremely difficult and riddled with mistakes, lost sleep and bad decisions.
Shanghai, a closer comparison, hit 5k per week in October 2020 and then reached 7k per week just 5 months later in March 2021, and after another 5 months hit 10k per week in August. So that's 10 months, or about 3 quarters, to go from 5k per week to 10k per week in Shanghai historically. This was also with the challenges of the new Model Y line going live at Giga Shanghai in December 2020.
For Berlin and Texas, we are talking about Model Y with the new and improved production methods, the latest factory operating software, and a lot more experience for the team, which should make it majorly easier to build and ramp than the 2018 Model 3 was. The big question is 4680 ramp, really.
If B&T merely ramp at the same speed Shanghai did, then if 5k per week is achieved by around December 2022, the 10-month lag would make 10k per week arrive in October 2023. This is a substantially faster ramp than the Reuters report suggests, as they have Tesla targeting 100k for Q3 '23 which is only 7.7k per week. Thus, Reuters is indirectly asserting that Tesla is internally targeting a slower ramp for B&T than the ramp for Shanghai was at the same stage. That's total nonsense and suggests that they didn't do their homework or think about this before publishing, or worse that they may be doing this for malicious reasons. Tesla explicitly said on the Q1 2022 earnings call that B&T should ramp substantially faster than Shanghai did and explained why that's the expectation.
On the Q2 call, Elon reiterated that he's confident B&T will do 10k per week by the end of the year, but the supposed plan from Reuters doesn't seem to indicate there being the kind of safety margin in the plan necessary to make such a statement.
I feel like the general population is going to not believe it until it’s well under way since we’ve been lied to about recycling for decades in its current form. But redwood proves that there’s real value to recycling stuff we haven’t even tried to recycle before.Twenty or so years ago I had conversations with folks about recycling and talked about how I wanted to watch for companies who developed the tech for mining landfills for the resources stored there.
That time is getting closer all the time. What was considered wasteful and unconscionable to bury trash will become a mining operation for pre-processed raw materials. The Tesla Bot could be instrumental in this endeavor.
“Possible” to roll out FSD beta worldwide by end of year.
Big update coming next month
V11 single stack with parking lot coming before end of the year.
This is the result of uber bulls who spew nonsense and also know nothing about the subject. Elon of course doesn't help when he take a dig at other companies when his own tech is not yet finished. These behaviors flame the hate.Been skimming some comments from the AI day. Reddit, twitter etc is toxic AF... So many people with no technical understanding who are so fast to be dismissive, so much negativity and general hate. Sometimes I wonder if these guys are bots or not, but I think mostly they are just sheep being herded by some bot owner with bad intents. It's sad to see. And so many communities that used to be people interested in X are now filled with people who don't even like X. Finance is filled with people who hate people in finance, politics is filled with people who hate politicians, and technology is filled with people who hate technology. Really sad times we live in. Wonder how long this forum will remain readable. The Autopilot/FSD/Optimus subforum here is often very toxic, any discussion goes very quickly into long negative dialogues that makes me wonder if the posters are bots or not...
Anyway, I guess what I have learned from skimming the web is that most people were very unimpressed by Optimus and are downright negative towards Tesla FSD. People in the field or fanboys are very impressed, maybe a bit too much. There is very little inbetween...
The hardware question that I thought would be most interesting to hear an answer to didn't get asked: what about skin? Do they see receptors for heat, cold, pressure, pain to be irrelevant for the early iterations? Surface flexibility? Just kind of curious what they're thinking. Hard problem.
I wonder if EM pushed this to Friday Sept 30 because he knew that from an SP perspective it will mean nothing on Monday after P and D tomorrow.
So, not a sex bot
They killed it. This is a giant flashing sign for all the brilliant, young people out there. Here you will matter.For AI Day 2, I was not looking for a working Optimus. I was looking for Ambition, Commitment and Talent and I was very happy with what I saw.
Especially the talent. Many young engineers on a world stage and they impressed me.
The ingredients are there for success.
and there appeared to be much camaraderie. . . they all interacted well together . . . I sensed that they work 14 hour days not because they have to but because they love it. There was much pride and enthusiasm on display. I am really excited to see continued innovation from this team.They killed it. This is a giant flashing sign for all the brilliant, young people out there. Here you will matter.
Sorta. Obv it's a long way from brining in profits, but as efforts like this pile up it will be harder for WS to claim that Tesla is "just a car company" and that does go a long way in valuation etc.Since this is the investor thread, it should be pointed out that Optimus is currently immaterial to the valuation of TSLA, and will remain immaterial for at least three more years, and likely many more than that.
The predictions of what it can, and can’t do are pie in the sky, but it literally showed it picking up a box and taking it across the room. That in of itself with a little bit more programming and self-awareness could be used for simple tasks around the factory. This alone is its own company worth a lot more than many companies in of themselves. They cannot be serious about the price if that is really the price, Amazon must be drooling right now.Since this is the investor thread, it should be pointed out that Optimus is currently immaterial to the valuation of TSLA, and will remain immaterial for at least three more years, and likely many more than that.
If Optimus was a separate startup it would be a very intriguing investment. As a pre-revenue company it might already be valued at $10 billion with a very real chance of a 10x return in 5 years.
BUT, inside a $1T high growth car and truck company, $10 billion just isn’t material, folks.
Fascinating, yes. Tantalizing, yes. But irrelevant to our TSLA investment thesis.
And it seems FSD will steadily improve from here. Maybe it is only a year away. The current version would probably work fine if all cars on the road actually ran on FSD. Those pesky humans...
Zé's Guide For What To Be Impressed By Any Optimus Demo
While I'm definitely no expert, having a background in both machine / deep learning and modeling and simulation of robotic humanoids gives me some decent insight into where the challenges are, and therefore what would be really impressive to see if there is any Optimus prototype demo.
First, I would really like to dampen some expectations I'm reading. Having Optimus accomplish any task that requires movement of the feet would be really impressive. Accomplishing this is absolutely not a given as it is one of the core challenges in robotics (also why I incorrectly didn't even think they would do a bipedal humanoid form).
Look at some of the leaders in walking robots
Asimo is clearly totally preprogrammed with routines so less impressive than the latter two which show some ability to navigate difficult "new" terrain.
One of the core challenges is robotics is navigating sudden contact forces when you first touch a surface or an object. Humans have an "internal model" of the environment and make a guess what the mechanical properties of the object are before touching them. We use this to first estimate both our limb poses and what acceleration and velocity we should approach the object at.
Imagine trying step on pavement vs stepping on ice. The pavement is stiffer so naturally you will with a bit more relaxed muscles & joints so they can absorb the impact appropriately. However because you are very confident about what the surface is, you could push with confidence and higher impact forces. You can also step with a longer stride because you know what the frictional forces will be.
With ice, you know the surface is more slipperly, but also less predictable. You will step in a more crouched stance (because this gives you a better ability to change the direction and magnitude of contact forces, but requires more energy). You will also take smaller steps because less friction requires you too by laws of physics. You will also co-contract more muscles to ensure higher stability in case you are wrong on what the surface will do.
The robots operate more like they are on ice, even if they aren't. They make a more crouched position, and make small steps with less horizontal velocity. They attempt to stomp down almost vertically to reduce the effects of uncertainty around how much friction there is.
So they are certainly not as good as humans, even the best ones. I'm saying all of this to point out that balance is an extremely challenging task. If you mess up estimation of the surface, you will likely fall over.
My ranking of demo tasks by impressiveness from least impressive to most:
1. Arm-only movements that move an object
2. Arm-only movements that grasp and move a stiff object
3. Standing robot that can move arms around but doesn't touch anything
4. Standing robot that can grasp a stiff object
5. Robot that can take steps on flat surface
6. Robot that can walk and navigate multiple surfaces (Asimo level)
7. Robot that can navigate variable unknown surfaces (Agility / Atlas level)
8. Arm-only robot that can grasp and move delicate objects without crushing them (think raspberries)
9. Arm-only robot that can grasp and move variable delicate objects with crushing them.
10. 7 & 10 combined.
To be honest, even have an arm only robot accomplish #2 within a year is decent progress.
A robot that can stand and grasp an object (#4) would be amazing progress.
Anything above that, considering the pace of development, would IMO already make Tesla leaders in humanoid robotics.