TESLA Making MAJOR Progress Across All Fronts!
ฝัง
- เผยแพร่เมื่อ 10 พ.ค. 2024
- Larry Goldberg is a serial entrepreneur (co-founder of Sapiens Decision), angel investor, and co-author of the book “The Decision Model”.
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Author is invested in many Humanoid companies and is long TSLA and other stocks at time of original video publish date.
#Tesla #TSLA #stock #ElonMusk #investing #teslabot #technology #ai #TeslaNews #TeslaFSD #teslastockanalysis #TeslaUpdate #ElonMuskNews #EV #FSD - วิทยาศาสตร์และเทคโนโลยี
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These are fantastic takes, I was really hopeful of my investments this year, but I followed some stock suggestions that didn't go so well, I've been studying the market crashes and I realized some investors made millions from the recent recession and I was wondering if such success rate could be achieved in this present market. and the Federal Reserve taking a more hawkish approach to interest rates. Any recommendations?
Yes, If you go long against the market you'd make such success.
Throw it into AI stocks, I only buy quality firms, anticipate to hold them regardless of what happens, pay up but not too much, keep track, sell only when necessary, and be ready to course correct. also ignore the forecasts and market views which are at best entertaining but completely useless. ever grateful to Trisha Jean Webb my F.A...
just checked your FA out , she looks really impressive.
Larry could talk me down from a high ledge with his reasoning & insight. A wealth of knowledge to draw from. We're lucky to have him.
Tesla and spacex have been the top 2 companies for engineers for years. Imagine if a sports team had the top 3 picks for a decade, and then imagine that you spend all your time online doubting that team. I wonder what Vegas would think about their odds.
Outstanding discussion . Thank you both.
I just love listening to Larry, he brings so much to the conversation. To his point that legacy should’ve licensed a lot of the EV tech itself from Tesla instead of their arrogant, bull headed attempts (he’s too kind to use those words ha), at going it alone was even worse for them than not spending those dollars on their own EV development. What they did instead was load Tesla up with “credits” that helped them build out their factories for them. So, not only did they not invest in themselves by licensing Tesla tech, they invested in their competition (Tesla) by having to buy credits from them. Crazy!
Cheers guys
To answer Larry's question @ 4:23
You generate good training data from bad human examples by assuming the submits are indeed bad (this could be a source of adversarial attack if gamed by the users but let's assume the users are submitting valid bad data) then you search your training data for examples of bad similar to what was submitted, you filter your master data set of those examples and then retrain the model with the sanitized master data set. This will clean that dataset of the bad behavior in the scenarios akin to what was submitted leaving only good trained responses. The trained model will this have only good behavior encoded in it's parameters to be more likely to respond correctly in novel examples.
The cost is you are time constrained & compute constrained for first waiting for users to submit examples of bad data (can't be predicted) & once you have it, you have to search your entire master dataset & filter out similar examples which will be costly. This could be made more efficient by batching submitted examples based on similarity before engaging a search & filter operation.
I've been saying for years. Put FSD equipped Tesla Cars about 1 thousand of the and release them in a small Hollywood Town with out people and run FSD with all kinds of Scenarios including ran, snow, collision, Emergency situations, all kinds of balls and dogs and bikers.
Let them go at at , collide , collect data, all in 1 month ad just go at it full speed full FSD. See what happens.
Geez.
Success depends on the actions or steps you take to achieve it. Building wealth involves developing good habits, such as regularly setting aside money for sound investments...
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Sincerely speaking. I will continue to trade and stick to expert harr iet daily signals and guides as long as it works well for me...
she's mostly on Telegrams, using the user name.
....
harrifx21
You work for 40yrs to have $1m in your retirement, Meanwhile some people are putting just $10k in a meme coin for just few months sometimes lesser and now they are multi millionaires. I pray that anyone who reads this will be successful in life ✊🏻❤
I can bet harriet is the best in the market now.
Afternoon guys
I love Larry’s honesty when it comes to end to end.
Isn't it possible that Tesla could create an inverse relationship between car insurance and fsd? Given that Tesla has data for every Tesla driver, isn't it feasible to offer lower insurance for folks with fsd? And why couldn't the combined cost of fsd and insurance for a Tesla be less than the average insurance for an ice driver? That would be an incredible offer from a sales pov.
We drove V12 about 15 miles and it made 3 zinger mistakes, yet V12 managed to drive our town's version of Cook's left turn perfectly where as V11 never could. Jeannine
State? Type of mistake?
Zinger?
There seems to be two aspects to this, one defining problematic use cases and two, retraining the AI to better deal with the problem use cases. And to do the later one needs some goodness measure that can define what is better and what is worse.
So if one looks at former, and all of those use cases as a whole, this might be be construed as an Ontology model of good driving, or said another way, the things a good driver needs to be able to do.
And these things can be rather abstract like, park, change lanes, stop at a traffic light, etc. or very specific such as how to park in situation s1 vs situation s2, vs situation sN where N can be quite large and maybe ever growing as new problem use cases are defined.
So it would seem that there are two products from this, one is a category of all those use cases and two is the NNs that can best deal with those.
So the former might be thought of as an Otology Model of a good driver and that drivers good practices and the later are agents that can execute those good driving practices.
So one might deploy both to a car, the later to actually drive the car, and the former to tell the driver what the AI is doing, like I am now making a right turn based on sue case 358.
No most driver would not need to know that it is use case 358 but then if there is a problem that might be useful knowledge in that a driver could report back, my car just made a right turn that reportedly was use case 358 and it was not how I would have driven that.
And the car might even have a sim mode where the driver, once parked could replay that right turn and then manually (albeit virtually) make that right turn to show how he (or she) would have made that turn and then this could be sent back as a problem incident report to Tesla which then could be racked and stacked based on other reports in regard to right turn case 358.
This a bad driving incident can be treated much like a error message is treated in a computer program, only the human driver declares it to be an error and the AI associates that error with the use case.
And BTW, not to self plug my own TH-cam videos, but I did make a number and uploaded to my TH-cam channel of videos on a way to create a graphical Ontology modelling language which I am calling UniML (Universal Modeling Language) not to be confused with UML (Unified Modeling Language) though there are some similarities between the two but many differences as well.
BTW, in regard to the humanoid robot market there are two cases that seem quite distinct, one is where the bot replaces a human and as such needs to have a high level of autonomy, and the second case is where the bot assists the human but the human can control much of its operation via tele-control.
A factory bot would be an example of the former while a surgical bot that is controlled by a human surgeon would be an example of the later.
And the distinctive in that later case is not that the bot can replace the human but helps the human do what it could otherwise not be able to (like operate on a patient with high precision) do or avoid some negative that the human might want to avoid, such as say work in a hostile environment that is toxic, dangerous, or otherwise harmful or unpleasant.
So there is this huge potential market for the later in regard to military's applications in that a soldier indeed can face those hostile environments in combat situations.
Take for example the movie Gallipoli. While life in the trenches in WW1 was hostile it was far more hostile once one had to go over the top and charge across no mans' land and thus be exposed to fire, land mines, barbwire and the like.
Thus if one could stay in a trench (or even better a bunker) or even better, a ways back behind the front lines and have a bot to the charging across no man's land for one that soldier would not mind having the bot do that where it teleoperates that bot.
But even so, if that bot has some level of autonomy, say can walk or run on its own, then that would be good to in that it could then lessen the tele-operators work load.
Also, if it had some level of autonomy to finish a task if communication is lost from the tele-operator that too could be good.
The point here is that unlike the former case of replacing humans that require lots of autonomy and thus is at the cutting edge, a Combat Bot, or I like to call it a ComBot, is well within the current technology in that it does not only not need as high of level of autonomy but many if not most people would be just as glad if it didn't (and for some even never does) have that high level of autonomy that in that application of application of lethal force it is good to require a human be in the loop.
Thus in this sense a ComBot is not all that different from a UAV in that both are a controlled by a human and both might have some level of autonomy and the only difference is that one might have legs and arms and the other rotor blades and some form of weapons release mechanism.
So one might think factory worker bots should come first and then (maybe) later ComBots, the technology is actually the reverse and it would be much easier to build the later in front of the former from a technical standpoint.
And there surely are other such examples than military bots such as on say a construction worker who has physically demanding job that the bot could do better, even if that worker has to teleoperate it.
Thus in this case a construction bot would be not all that different than say a bull dozer other than it would have legs and arms vs tracks and a large blade.
So maybe it might be worth differentiating these two cases, into say Class 1 humanoid bots and class 2, where the former do not replace a human but assist a human where the later are intended to replace a human.
And even a class 2 bot might operate in a class 1 mode when being trained by a human.
And the technology, required performance /features, and markets between these two classes might be quite different as well thus more reason to make the two distinct, even though the two might look much the same from the outside, they may be quite different when it comes to their levels of AI.
Perhaps a better name for Class 1 and Class 2 bots might be Avatars (AVs) for class 1 and Independent Agents (IAs) for class 2 for that is in essence what a Class 1 is, and Avatar
Also, just as a human might control its Avatar and that human might command other humans as well, say a squad leader that leader's Avatar might command other bots as well to lessen the traffic between the humans and their Avatars and add a layer of robustness from comm outages and overloads.
Thus a squad leader might issue a command to follow me and as such those Avatars will follow the Squad leader s Avatar without their owners having to tell them to do that.
3:41 would really like to know how you modify an ai solution by adding new driving cases? I've been programming for 50 years.... but not with ai.
What do think of the tesla software/chip efficiency as the big advantage?
Aloha
Herbert, I appreciate that you read your comments. You have actually repeated a few things I've brought up in the past. Here is another one....when Tesla ready to roll out robotaxi (sooner than we think) they will have to do it regionally first. In other words, just SAN Fran, NY, LA, Vegas etc with boundaries that will expand as the fleet grows. They can't just flip the switch all over, or the service will be really shitty. If somebody in Everett wants a ride how can that even be dependable until there are enough Teslas? Whereas in Seattle only at first, there is a small enough region that a fleet of Teslas can handle at first. Then expand region over time. So, while the people with fsd can drive anywhere autonomously the robotaxi as a service will certainly have to start regionally to ensure there are enough robotaxis to handle the demand.
Great explanation/charts! People love all these buzz words and headlines but is anybody except a few people looking deeper?
Tesla sells should grow (with just the Y and 3) when interest rates go down. Future Tesla buyers are waiting for that. It makes all the difference to monthly payments. Jeannine
Two factors chargers fsd makes them way ahead of all others.
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Tesla has the data of the EV to share with Opitmus, a huge advantage don;t you think?
I don’t think you can use a single NVidia training compute for all the humanoid companies because each robot has it own unique physics so they have to train each type of bot separately.
Seeing as I'm going in leveraged to the teeth on Tesla (with expendable money obviously), I'm looking for a better margin for error than the current price provides. Q1 earnings will probably be the opportunity, but who knows? Every combination of earnings and response to earnings is possible.
How come we don’t talk about batteries, chargers speeds, range?
"Making strides in all fronts" other than growth and margins LOL!
they will follow, the whole point of FSD is to maximize margins, software margins are massive..
and as for growth... right now, automotive is their biggest product. if you haven't noticed, the automotive sector(all manufacturers) is dead, dealer lots are full, cars arent selling.... its just a cycle
@@sportbikeguy9875What I said is still true. even with your spin
If you consider the EV part OEMs as a separate units. They are all basically bankrupt!!! in THIS MARKET environment.....
Says an investor with near-sighted vision ... LMAO
@@anthonylieu9068 Keep buying and holding that company as their growth shrinks every quarter for next 2-3 years instead of pulling out until they can demonstrate growth. look out warren buffet LOL!
Larry could convince me to trade my hot water for ice cream at the arctic with his reasoning skills
Tesla IA the goat
I cant think of another company except Tesla where each product has the potential to earn billions. I know there are s ome who 'hate' Tesla and are blind to see this opportunity and will surely regret not to have invested.
Most of the haiturs are poor and don't have money to invest
@@yourlogicalnightmare1014you're 30% poorer this year 🤣
@importon
You prob didn't do well in math, so I'll help ya. Until I sell, it's a paper loss.
Additionally, in order for me to be 30% poorer, I'd have to have 100% of my assets in Tessluh and then sell... neither of which is true 👍
@@yourlogicalnightmare1014too long didn't read. enjoy those foodstamps
@@importon
My pet rock dwarfs your intellect 😄
China sales alone drop Tesla's in this quarter below 400 000 sold cars. The US is the only major market they have increased sales in the first two months (+2%), but way behind the market growth (10%).
Charging will soon be as fast as filling your tank.
Tesla continues to trail blaze superior vehicle manufacturing process and capability that existing competitors cannot match with their existing infrastructure.
😂😂😂😂😂🤣🤣🤣🤣🤣
“BYD is so much ahead of Tesla in China. It's almost ridiculous.” Munger said that Berkshire's initial $270 million investment in BYD, made in 2008, was “worth about $8 billion or maybe [$9 billion]. That's a pretty good rate of return.”
Tesla has an Elon Musk problem, the stock could fall another 30%! Tesla lost another bullish backer. Monday slowing demand, rising inventories and tightening liquidity should hurt the electric vehicle results over the next year.
Herbert. NOBODY can tell the future. Change ALWAYS take longer to solve, incorporate in the vehicle, navigate laws and edge-cases and evolving technology to keep your unrealistically optimistic view. You are excited but that is not the same at all as being accurate.
in one ear and out the other. he's already recording his next video where they repeat the same tired story again
Going to 400 today.
😂
Better get out while you can. You've been warned,@@yourlogicalnightmare1014 .
For sure. Maybe 600 today! Let's ask Elon the Oracle who is never wrong.
Those robots company don't have the reasoning implementation, but only the generatives Ai aspects.. Those robots think by themselves..let me doubt this assumption. The day they think by themselves let me know, i will buy...
Do you know how many hwy workers we lose in North America in a year (and it is a lot better than it was) FSD (THE ROBOT) kills one road worker and it's over!
Eventually electric cars will replace every ICE car on the road. As long as you believe this process is going to happen then you should logically be bullish on EVs. This is because we're still nearer to the beginning of the replacement than the peak. Hundreds of millions of cars worldwide are going to be replaced in the coming years. Whenever an ICE car breaks it will be replaced by an EV at increasingly higher rates.
unless you live in somewhere that freezes in winter. I have a tesla, it absolutely sucks in cold climates. luckily i live in the desert so it's a fine car for me.
@@importon It freezes in Norway every winter, and 90% of new car market share are EVs. Not sure about what you're saying. You know the performance of ICE vehicles also goes down sharply in cold weather, right?. In addition, a software driven EV is easily pre-warmed from home both in the cockpit and the powertrain.
@@davidsc4680You're living in a fantasy wold of your imagination. I grew up in chicago with ICE vehicles and never had issue. I drove through iowa once in my model Y, almost got stranded because of it's miscalculation of how much mileage I had, and almost froze to death because it turned off the heat and would not let me turn it back on until I got to a charger. the second I plugged it in the heat came back on.
@importon I honestly mean no offense- the same thing would have happened had you run out of gas. Sounds like there is room for improvement with sensors as well as owner knowledge.
@@importonI don't know about anecdotical cases like yours, but the data is the data. You did not address the Norway example in your response. Those are not anecdotes. No fantasy in the real data my friend
最高😂
Two weeks for Elon is 6 months, remember. LoL (V12 out in two weeks, said November 15. I still don't have it.)
Herbert: Please mention the Software experience of Larry in his intro. Multi entrepreneur of what? lemonade stand and laundry mart.. So much of software coding background is huge...
Did I understand that correctly - Larry thinks Tesla will have bots working in factories around October of this year?
Tesla would be selling bots in October?
Isn't that going to be huge for the stock? A new industry they're seeing in, new product, riding the AI boom - proving they're not just a car company but an AI / Bot / cars / etc company
Not necessarily selling bots by October. Bots working in Tesla/Elon factories is very likely. Tesla might 'apprentice' some bots in other company factories as a way to expand their knowledge/capability.
And Tesla may never sell bots. Just lease them. A $20/hour job x 24 hours x 365 days plus a 30% overhead (low) works out to $228k per year. Lease the bots for $100k, make a fortune and save lessees a fortune.
With FSD.... All Tesla Vehicle Orders with new owners addresses within 350 miles from factory......
... Their Tesla Cars will self Deliver for free. Their New Tesla Will Show Up at their Drive way the next day, they order with their phone and pay full price while their laying on Bed the night before.
Yes, this will happen .
in 2040
So many greedy and needy people in comments, want want want he said she said oh its not when they said boo who anyone in comments run a tesla like company whilst everything and everyone batters it down probably not, so judgemental like you could do any better obviously not as this is why people want it to go up, the amount of confused broken minds outhere is amazing, least he's trying to do something for the greater good and if not then he's the same as the rest and I'm wrong 😊
Change that to a few people in comments not many. 😂🤦🏻♂️
There is this over riding thought, especially by Herbert in all the bot coverage that Tesla has some sort of super ability to build bots. Why does Tesla get this assumed advantage on actual manufacturing of bots? Is it because Elon knows more about manufacturing than anyone currently alive on Earth? Did I miss an announcement on a future production facility?
The supposed ability to mass produce bots (which doesn't exist) is irrelevant anyway. It's the software that's the giant titanic challenge.
Elon and his crews know a hell of a lot about manufacturing. Tesla owns its own company that builds complex equipment for manufacturing. Tesla and Elon's companies have a lot of credibility with the supply chain. And they have the capital on hand to create bot factories.
Are there other bot companies that are at that same stage of development? Perhaps. I don't know of any.
@@bobwallace9753 they need to reshape the pelvis area and put a perty mouth on em... giggady.
10 years later - ITS STILL LEVEL 2
He's been saying that since 2014.
Thats literally 5 midterms ago
So what?
Sure, but are they progressing? Are there signs they will abort? Is competition closer to the goal of a generalized implementation?
@@toby-xo6rb when is this happening?
@@3DisFuntastic when is this happening?
@@472water Still can take a long time. Also with the new developments they have made. But for now, I don't see a change in the overall picture. It is just taking and will take much longer than Elon anticipated.
If I’m gonna go buy an EV tomorrow because I’ve been wanting to buy one I’m not gonna say well let me not make my purchase because the news said Evs are slowing down. It’s asinine and laughable at best.😂😂
For every Tesla sold one less ICE is sold. The vast majority of Tesla buyers are loyal to EV's and Tesla. ICE is going down.
😂
The biggest problem I see for Tesla and it’s stock is China. Chinese continued threat to invade Taiwan is a serious problem in the future. if they actually did invade Taiwan, the stock would drop like a rock obviously giving great opportunity to purchase more stock because the company will continue to do well in the long term it would only be a short term issue.
Your not wrong, but Taiwans secret weapon is its TSMC chip fabs, If they did invade or seriously blockade you are looking at a 3rd world war scenario and the entire global economy would tank to the point where the wall street crash would look like the covid blip, most people would be investing in tinned food and ammo.
It is so funny that you still talk about almost anything Elon says as if they are facts. Haven't you learned yet??
"In the name of the Elon, the Musk, and the holy Dogecoin"
Elon’s predictions of when things are ready may be off but he always delivers on his promises.
Yet again the same topics.
They're desperately trying to rope mouth-breathing retail investors into saving their over-leveraged investment in TSLA. These full-time pumpers are so sad
@@importon Why are you here then?
@@toby-xo6rbalgorithm
@@toby-xo6rb for entertainment, maybe.... Watching charlatans delude themselves can be very entertaining
@@Ebwalkman It's your time, spend it however you want, and believe whatever you want. You're wrong about them being charlatans of course, but hey, you do you mate.
Tesla is the worst-performing stock in the S&P 500 this year! Tesla has an Elon Musk problem, the stock could fall another 30%! Monday slowing demand, rising inventories and tightening liquidity should hurt the electric vehicle results over the next year.
Please
Go and short the stock with everything you have! I need to buy lower.
More buy opportunities then if u believe in the potential future of company, buy low sell high or would you buy high and sell low, if the mainstream say there fcked then it's definitely time to buy and hold for 5-10yrs, and if wrong that's the risk factor