Nice close to what could have been a really day.
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Once overlayed with their area, Japan and Italy look great.View attachment 828552
Some brainstorming would be required on how best to try to utilize other forms of energy to limit gas usage. e.g. home heating etc could be converted to other forms, so more gas is available for industries etc.
cheers!!
For once in a long time, MM's are actually showing up to protect the 700 Put wall. Pretty much all year, the trend has been for them to consistently protect the call wall by capping, but showed little support for keeping TSLA about Put walls.Nice close to what could have been a really day.
Options and stocks have different settlement times. The problem in cash accounts is called a good faith violation when you buy stock, then sell the stock, and use those same funds to buy another stock before it has settled.Not sure about your “3 days in IRA” comment. I’ve never waited for 3 days, and haven’t been dunned yet in 2 years. My advisor has said the two sides of a roll can be separated within a day as the accounting isn’t done until AH, but if the STO of a CC BTC/STO roll is delayed until the next day, I have to have enough cash in the account to cover the BTC.
I’ve said it before, but no one in the deep learning industry believes me. The industry’s and Tesla’s current AI technology is not up to the task for TeslaBot. My opinion is you are going to need continuous learning for that which is fundamentally different from the AI architecture currently in use. Maybe that’s why Karpathy is leaving, he realizes this and wants/needs to do exploratory work on even more cutting edge stuff.
Here is the cherry on top:Nice close to what could have been a really shitty day.
MANY people here have fireplaces in their living room. But often you are forbidden to use it extensively because of fine particulate matter in the smoke (making air-quality in the city bad FAST!).To give you an idea of how bad the natural gas crunch is going to be for Germany this winter, here’s a forecast study that assumes people will start resorting to burning wood as a replacement. This is de facto de-industrialization. Hopefully this will be fixed within a year. But it highlights very real risks for Tesla’s Berlin plant this winter since I assume it uses natural gas.
Yes, humanoid robots come with the expectation that they are generalized, otherwise what’s the point of all the complexity of a generalized hardware architecture? It would be more efficient to build a purposed built robot for specialized tasks, like is done now with industrial robots.Let's see what they present at the next Ai day.
You are thinking about a general purpose "do everything" robot, rather than a robot trained for a specific task. Initially each task might be more like a separate app.
IMO many tasks are safer and less complex than driving a car, becuase the task always occurs in the same premapped location. The bot does need to explore to build maps and it may need to ask for help in classifying objects.
Thank goodness it was not another "Tesla Killer"
GM Sets Date for Its Mercedes-Benz Killer - TheStreet
The legacy carmaker is attacking the top of the top in the electric market.www.thestreet.com
View attachment 828559
Seems unlikely for all the reasons you list and more. SpaceX also rejected carbon fiber for their rockets in favor of SS. Tesla has put a lot of research into creating a structural pack based on these cells so I would not expect a physical material change for the cell can in any relevant time frame.
Yes, humanoid robots come with the expectation that they are generalized, otherwise what’s the point of all the complexity of a generalized hardware architecture? It would be more efficient to build a purposed built robot for specialized tasks, like is done now with industrial robots.
It would be very interesting indeed if you could build a generalized pre trained robot to do something as mundane as loading and unloading a dishwasher with all the various types of dishwashers and kitchenware in existence.
IIRC, they were putting line validation costs into R&D. Regardless, those costs should have been accounted for previously. In which case, these will be full positive cashflow with maybe some shifting from R&D (or wherever) to cost of goods, which would shift OpEx vs gross margin, but will not shift the bottom line resulting in full revenue recognition flow through (other than tax implications of R&D expense).I wonder if the COGS for these vehicles was capitalized as part of the factory build out, and if so if they would have to reallocate that capital expenditure from the depreciation schedule into the quarterly expenses. It's probably not material but could be more than $100 million increase in income if there is an accounting trick where they would not have to account for the production costs of the vehicles in the quarter where the income is recognized.
I have talked a bit with Karpathy, very down to earth over the top nice guy. Don’t know him too well but will just paint a story based on public posts by him and what everyone knows.
He is a pretty young at his 35 years, born in Slovakia. Brilliant guy. Got a Phd(with all that means) at Stanford, at the time when deep learning took off. Being a very articulate he got the role to lead the course that many students around the world watched on youtube. He read so many papers he even did his own service to follow new papers more efficiently.
GitHub - karpathy/arxiv-sanity-preserver: Web interface for browsing, search and filtering recent arxiv submissions
Web interface for browsing, search and filtering recent arxiv submissions - karpathy/arxiv-sanity-preservergithub.com
After his Phd, he got a job at OpenAI as a scientist. One year later he joined Tesla, his first major job in the industry doing applied engineering with validation, shipping real products and all that mess. During the Model 3 ramp where everyone had to chip in he was down at the factory line, doing whatever he could like everyone else. He has done this for 5 years. Given his rockstar fame and the demand for top DL talent he was probably paid millions of dollars, plus the same in shares that has 10x since he joined. He is very likely set for life... Also he has a CV that is really impressive and can pretty much get any job he wants if he needs more money.
On his free time, he codes the GPT clone minGPT and other small hobby project to understand the latest devevelopment in AI and make it easier for amateurs to access the latest research. He even coded a bitcoin client from scratch just to understand crypto.
Like I said, he is 35years old and, as far as I know, single. When he takes his first holiday, he goes traveling around the world, meeting fellow AI researchers around the world. He also is a mostly vegan person, “90%+ vegan” and he thinks being vegan is one of the best way to reduce CO2.
So imagine a person like that. Likes to travel the world, has worked pretty damned hard and got to the top of his hiearchy, set for life with both cash and stocks. An academic at heart. Maybe he just wants to be free, travel when he wants, do the research when he wants, keep up with latest development in NLP, spend some time on health and do some dating. Heck even explore spirituality, psychadelics and all that stuff that people who travel around the world, are vegan, into crypto etc like to do.
Should he stay longer? He probably has pushed it ”just another year” a few times already. 5 years is a good number to call it quits. Until FSD is released? It has been next year for a few years now. Can he contribute more? He pretty much defined software 2.0 and made the only known large scale implementation of it. The system is set up, it works well. Now it’s time for the applied industry people to run the development from here.
So no, I don’t think we can infer that FSD is near or far away based on him leaving. He probably just wants to have a break, do what he loves and can afford to do and have some more time for the good stuff in life.
It is interesting that quite a few of us have been in closely analogous positions. Bluntly, the people who are best at leading a new technology development or even a startup of any flavor are usually (that is NOT always, BTW) not the ones who are best in running something that follows the first phase. There are endless examples in human activity, technological or not. In my own career I led and/or participated in numerous startups, turnarounds and new technology adoptions.
The turnaround cases I have just reviewed. All but one was to fix what founders had failed to do. The startups, all but one, I left soon after success was established. The departures were voluntary in all but one.
The one that was not is one I felt was entirely dependent me. I was wrong and I failed that time, quite abysmally. The successor organization made it into a major competitor in the field.
Bluntly and clearly, I applaud people such as J B Straubel, Karpathy and others who know when to depart. The gigantic exceptions prove the rule, people such as Elon Musk. Even they know how to both select people and nurture them while letting them leave gracefully when the time has come.
Personally I find this development to be positive. As with other stellar figures, the general public thinks their departure is a danger sign. Of course it is nothing of the kind. It is a sign of organizational maturity.
... "a job that on average people last six months."
25:20 ..."he's [Elon] a double-edged sword in terms of working with him because he wants the future yesterday... you have to be of a certain attitude to really tolerate that long periods of time, but he's surrounded himself with people who get energy out of that and they also want the future to happen quicker and those people really thrive at Tesla. I happen to also be like that and I don't personally mind it. I actually kind of thrive on it and I love the energy of getting this to work faster and making a difference and having this impact."
This is hilarious phrasing and true. Started at tesla at 30, with 7 human years per dog year, right?It was a grueling job even for Karpathy, no matter how much he loved/thrived on it. He's young at 35, but 5 years so close to that alien is like 5 dog years.
Jordan says in his video that he believes the cell he has is not state of the art anymore and expects to see updated characteristics in the one he is buying from Munroe. Too bad this will take months as he said till we ge the results...No silicon, only graphite in the anode? Wow, current 2170s do have silicon so that’s interesting. It might have something to do with using DBE since silicon is used in the 2170 anode. Since they aren’t using DBE in the more complex cathode, it appears that, currently, DBE has problems when mixing in different elements. This … isn’t bullish.
Besides, they won't let them cut down the trees for firewood without completing a paper process that would take all Winter to get through.MANY people here have fireplaces in their living room. But often you are forbidden to use it extensively because of fine particulate matter in the smoke (making air-quality in the city bad FAST!).
So for them going to wood to save gas is a simple switch... especially if there is a massive gas-shortage.
But this is more fear-mongering than anything .. because i doubt tesla could switch to firewood even if they wanted ..