Ark Invest CEO spanks the lizard (aka Cory Johnson). Delicious...
Ark Invest CEO Explains Why She's Excited About Tesla
Ark Invest CEO Explains Why She's Excited About Tesla
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.
I know Cathy and Tasha (she mentions in the piece)...I like the way they think...Tasha in the white paper (which I posted in the Tesla Mobility thread) contends that the current valuation for Autonomous driving today, based in future growth, is greater than the current valuation of all OEMs combined (Ford, Volkswagen, Toyota) at a little over $1Trillion, and will dwarf them 10-1 in a little over a decade. There is a lot of synergy between the ARKK white papers and the Bloomberg New Energy Finance projections for "peak oil".Ark Invest CEO spanks the lizard (aka Cory Johnson). Delicious...
Ark Invest CEO Explains Why She's Excited About Tesla
Indeed, Papafox, the posts surrounding that one of mine in March of 2013 tended toward a consensus that as TSLA was getting near its all-time high of around $40, it would wise to sell while around $39 and buy back on dips below $35. As it turned out, those who at that time were selling at $39 were left in the dust behind one of the most explosive stock rallies in recent years.
My first job paid $5.15 an hour with zero benefits and I am forever grateful to this day that employer saw me fit enough to be given a chance.
Hey I'm just curious, no need to get worked up on this. Some NVidia high end graphics chips can go close to $1K, which is not insignificant, similar to what GM spends on advertising for Cruze. If you have the info that it's indeed $200 then that's great. I've got lots of eggs all in TSLA basket because I trust Elon.
I haven't seen any mention of this one one here.
Gearing Up for a Self-Driving Future, Ford Drops $1 Billion on an AI Startup
Apparently Ford is buying less than 100% of a self driving car start up that only started business a couple months ago for $1,000,000,000.00!!!!!
To me this smells of serious panic. The Tesla shorts that think the other car companies are going to immediately crush them when they enter the market are crazy. This is just the latest proof that they do not have the juice to compete on anything to do with software. As far as I can tell they are paying $500,000,000.00 each, for two guys, who had to leave all the IP they have been working on for years behind at Google. They don't even get 100% of the company for that price!!!
I haven't seen any mention of this one one here.
Gearing Up for a Self-Driving Future, Ford Drops $1 Billion on an AI Startup
Apparently Ford is buying less than 100% of a self driving car start up that only started business a couple months ago for $1,000,000,000.00!!!!!
To me this smells of serious panic. The Tesla shorts that think the other car companies are going to immediately crush them when they enter the market are crazy. This is just the latest proof that they do not have the juice to compete on anything to do with software. As far as I can tell they are paying $500,000,000.00 each, for two guys, who had to leave all the IP they have been working on for years behind at Google. They don't even get 100% of the company for that price!!!
I agree, but, If they could get the self driving, and other software challenges right in an ICE car, it would give them a lot more time to source batteries and figure out the electric car. If there is only one credible brand of self driving car on the market for a number of years, and Tesla are able to lock down a large percentage of ride sharing.... I can see why Ford is panicking.Even if they can throw enough money at the problem to get the software up to snuff, no amount of lighting barrels of money on fire is going to magick millions of battery cells into existence. To get the batteries they need a factory to be built to make them, and building factories takes time. That means you have to decide to build it and start throwing money at the problem now in order to have the solution ready 2-5 years down the road.
Remember, Tesla built gigafactory because they had to. Once fully operational, it will represent approximately half of the world's lithium battery production (and the other half is already spoken for by laptops and cell phones), and Tesla needs 100% of its output to build somewhere between 500k and 1M cars/yr. If the other automakers ever hope to build EVs in anything resembling the quantities they produce ICEs in now, they're going to need dozens of gigafactory scale battery factories to be built. Until somebody announces and starts building a battery factory on the same scale as the gigafactory, there are no credible competitors because there can't be. The raw materials simply don't exist.
While I did jump a bit in response to you originally and I could see why it would be interpreted that way, I wasn't getting worked up.
You're correct, some of the highest end nVidia cards are priced around $1k. In quantity 1. In consumer trim. With retail packaging and the interfacing and connectors to be able to plug it into a computer.
A wholesale deal alone in the sort of quantities needed to build Teslas? Probably cuts the pricetag in half or better. Then cut out all the unneeded stuff?
I don't have any hard info, but my R+D experience in the small-run consumer electronics industry tells me they don't need the absolute tippy top of the line to have sufficient performance (because basically no application for anything that is possible ever does), and that volume discounts and customized packaging that keeps only the bits you actually need saves big value.
Lots of people don't realize it, but general purpose computing power is not very expensive at all. Some of what I do for a living is writing code for microcontrollers. These are the small microchips that are in everything from your TV to your coffee maker. Chances are, if it has buttons and a display and was produced in the last 20 years, there's a microcontroller in it. Simple ones can be had for a few dollars, and really high end ones that can connect to the internet or to USB with all sorts of fancy peripherals are only about $10.
Good microcontroller developers have to understand all sorts of tricks to squeeze maximum performance out of these little devices. These kinds of devices often have limitations on speed, or memory, or pin count, and there are lots of ways to improve performance if you know what you're doing. For example - the cheapest units often don't natively support floating point math operations. If you just write code that uses floating point numbers, the compiler will generate code to produce the correct answer by breaking it down into many memory stores and retrieves and non-floating point math operations on the different pieces. It will get the right answer, but its very slow - adding two floating point numbers together might be tens or hundreds of times slower than a simple integer addition operation. In many cases, if you only care about precision to two decimal places, you can simply multiply all of your numbers by 100 and use integers instead of floating point numbers and you'll get much better performance.
Most programmers today are used to programming on a octo-core monster of a machine with truckloads of RAM and storage space. They're not used to needing to think about what the processor is actually doing, because the theoretical maximum performance of the machine is bigger than what they actually need by orders of magnitude, wasting cycles or bytes here or there doesn't matter on a machine like that.
Its this sort of thing that I expect Tesla was talking about when they said they hoped to be able to do level 5 self-driving on a single DrivePX2 system. Clever programming and product design can squeeze what seems like extra performance from a chip by not being wasteful with the resources that exist. Tesla hires intelligent engineers, I'm sure this sort of thing is within the scope of their abilities.
Hope I haven't run off too far into the weeds. Seemed like a thing people might like to have some tree trunks for, to use Tim Urban's concept from the first few paragraphs of this page: How Tesla Will Change The World - Wait But Why ,
So is current market pricing for Tesla including self driving AI engine?I haven't seen any mention of this one one here.
Gearing Up for a Self-Driving Future, Ford Drops $1 Billion on an AI Startup
Apparently Ford is buying less than 100% of a self driving car start up that only started business a couple months ago for $1,000,000,000.00!!!!!
To me this smells of serious panic. The Tesla shorts that think the other car companies are going to immediately crush them when they enter the market are crazy. This is just the latest proof that they do not have the juice to compete on anything to do with software. As far as I can tell they are paying $500,000,000.00 each, for two guys, who had to leave all the IP they have been working on for years behind at Google. They don't even get 100% of the company for that price!!!
Ark Invest CEO spanks the lizard (aka Cory Johnson). Delicious...
Ark Invest CEO Explains Why She's Excited About Tesla
You're correct, some of the highest end nVidia cards are priced around $1k. In quantity 1. In consumer trim. With retail packaging and the interfacing and connectors to be able to plug it into a computer.
A wholesale deal alone in the sort of quantities needed to build Teslas? Probably cuts the pricetag in half or better. Then cut out all the unneeded stuff?
Extra effort is one thing, injuries are another. I'm ambivalent about unions. I would like to believe that Tesla employees aren't exploited or abused. If the concerns mentioned in the article are real, I hope Tesla will address them so unions won't seem like the only way to get treated humanely.
I imagine most of the people on this forum have had to work overtime in one sense or another, but for most of us that meant making our brain tired. A vacation or good night's sleep will fix that.
But how would we feel if our working conditions / working overtime meant our hands or back could become permanently damaged?