Vehicle-to-Grid Power Is Becoming a Reality, But Why Isn’t Progress Faster?

Offshoring, outsourcing, etc. is not about IP rights. Welch was never accused of Intellectual Rights infringement laws.
Your saying welch and other CEO's didn't hand IP to the Chinese?

Or the US government didn't turn a blind eye to Chinese IP theft and allowed them to continue in the WTO at the behest of Welch and others?

When Fairchild and TI developed the first semicon there was no market. The US Air force and NASA heavily funded continue its development and did not require ownership of any patents or any royalties. They wanted the technology and benefits to be used by great American companies to benefit the American people. This was about the time your beloved silicon valley came to be.

Handing it to the Chinese and others - definitely not capitalism.
 
Amusingly, people were pushed out of blue collar manufacturing jobs, as they were being sent to Asia, and told to get white collar or tech jobs because that's where the "future" was. Now white collar and tech jobs are being reduced by AI, while we still have textiles and hard parts being made by people in the 3rd world...
So "learn how to code" has been Ai'ed, and will soon be a less needed skill. I say, "learn how to pull wire" or "learn how to trouble shoot HVAC" or "learn how to pipe fit" or learn how to all of it, to code and be a industrial maintenance guy with those, but doing those in low hanging fruit.....
 
So "learn how to code" has been Ai'ed, and will soon be a less needed skill.
Yes. Did you see my sharing a twitter (X) post from FreeBSDFrau about her discovering a Linux servicing bug using an AI debug assistant? These are useful tools that make people like her more efficient. But what it also potentially means is you can have fewer lower tier code monkeys by enabling your senior programmers and debuggers to be more efficient with this sort of toolset, that means job losses.
I say, "learn how to pull wire" or "learn how to trouble shoot HVAC" or "learn how to pipe fit" or learn how to all of it, to code and be a industrial maintenance guy with those, but doing those in low hanging fruit.....
Yeah, my kids are all into trades for that reason. Middle son is doing electrical, hope to get him into OPG where he'll be "set for life" with the nukes.
 
So "learn how to code" has been Ai'ed, and will soon be a less needed skill. I say, "learn how to pull wire" or "learn how to trouble shoot HVAC" or "learn how to pipe fit" or learn how to all of it, to code and be a industrial maintenance guy with those, but doing those in low hanging fruit.....
Maybe. But I have seen lots of welders over the years be replaced in factories by 80 / 20, and a lot of conduit replaced with cable tray.

Farmers learned how to grow Soy beans and now China doesn't want them. Cavalry used to be the most powerful force on a battlefield for centuries - until rifling and then the the Gatling gun.

The only thing you can count on is change.
 
Maybe. But I have seen lots of welders over the years be replaced in factories by 80 / 20, and a lot of conduit replaced with cable tray.

Farmers learned how to grow Soy beans and now China doesn't want them. Cavalry used to be the most powerful force on a battlefield for centuries - until rifling and then the the Gatling gun.

The only thing you can count on is change.
And the reluctance to change. It's human nature based on the unknown and fear. Fear of losing their livelihood. There's a reason for it; it's gonna happen.
 
Correct. All while regularly cycling the batteries into early failure.

Nerd Alert: Total battery cost ÷ Lifetime usable kWh produced.

$15,000 model 3 battery
69kWh per cycle
1000 cycle lifespan
Equals 69,000 kWh lifetime usable kWh

That battery costs 21.7 cents per kWh output. (not including electricity costs) Just the actual cost of the battery per kWh it provides!!!!!
As others are sure to point out the above is a worst case "lets pick and chose data to support our proposition."

1000 cycles is pulled out of thin air. In 10 years my Model S didn't do 3,650 cycles (definition: discharge a bit then replenish the charge) it did many more as every regeneration braking is a charge. Keeping the SOC between 20%-80% greatly minimizes wear. Presumably 30%-70% even more but with lesser gains.

None the less, my battery is my battery and is not for Our Betters to decide how to use for their benefit.
 
For sure it did. After Nixons trip to China in 1972 Manufacturers around the world couldn't scramble fast enough to get their products made there on the cheap. Now we are all paying the price for their greed and blaming the Chicoms for the west manufacturing demise. Unbelievable, we gave it to them lock stock and barrel, self inflicted misery. It is all over but the crying and shouting.
Let's not forget what was the world stage back then.

USSR was our enemy. China was one of their guy who doesn't want to be a sidekick, and got upset after USSR wanted to boss around all communist nations around the world. Nixon wants an ally after the Vietnam trouble.

Deng Xiao Ping in the end decided to split off after Mao's death. By attacking Vietnam with some made up excuses, as well as sending some Chinese war planes to US for upgrade, they basically say they will never going to go back to join USSR. I'm sure this definitely has been a major reason how USSR started splitting up.

Obviously it came with a cost: adding China to the off shore production list. I would say this is a small cost to pay to topple USSR, and without toppling USSR we wouldn't be the only remaining super power in the world.
 
This has already existed for over two decades. The company is called Capital One, and there are a slew of other banks and financial institutions who trade and analyze billions of bits a data every year.

AI already has a very long list of applications. But the problem with what you're describing is that there are limitations to what you can divine with data analytics.
They used to call it big data, then machine learning, and now AI.

Same ole stuff with different marketing really. I watched a video on a data scientist's opinion on why machine learning died (figuratively speaking) when he explains that they never really need to be big and the data do have a shelf life, and they over invested and capacity just sat idle.

AI is still new, nobody knows where we will go just yet, but we all know 1) money is still cheap considering inflation is still here and interest rate will stay lowish for a long time (nations can't pay their debt otherwise), 2) there is an arm race going on in AI, 3) there aren't many other big bet you can place that have good and certain reward at the moment, 4) we have a lot of foreign money losing confidence in anything but gold and US tech stock. Heck recently Microsoft was able to issue bonds with yield slightly lower than the US government, what do you think is going on? They trust Skynet able to pay back their loan more than nation's government right now. I don't blame them.
 
My biggest fears I've already mentioned, and they are more akin to those that came out of the the discovery of fission. While the anti-nuclear movement has been a huge pain for the nuclear power industry, due to the conflation of weapons and power plants, we were on the precipice of nuclear war, only prevented by somebody who refused a direct order (Arkhipov).

People inherently fear change because often change is bad, it's a primal instinct. The problem occurs when even presented with evidence that it is rejected, or cannot be understood and that position remains.
I clean up after people changing things as a living. My recent career has been to go in and hunt down careless screw up that, just a line of code people carelessly forgot, caused problem that happens once every several months, and then companies ignored until customer issued stop ship until they get confidence back that it is fixed.

People do not fear change, people fear carelessness and marketing taking the money and then ran off, never to be seen again.

Oh, that stop ship? Costed a total of $60M, and the culprit, his manager, and his manager's manager, were fired long ago, and are now in charge of the same project in our competitor. Luckily their bosses heard of what happened and make sure someone more careful were in place to double check their works now.
 
So "learn how to code" has been Ai'ed, and will soon be a less needed skill. I say, "learn how to pull wire" or "learn how to trouble shoot HVAC" or "learn how to pipe fit" or learn how to all of it, to code and be a industrial maintenance guy with those, but doing those in low hanging fruit.....

I have read this quote recently on "Blind", an anonymous social network among tech and other workers:

"Great job in simplifying the easiest part of software engineering, the writing of boiler plate code that you could have just copy and pasted from somewhere, now you can spend your time doing the 95% of the world like thinking of the logics and proofing those AI generated stuff actually work instead of just look like they work".

This morning our team did a presentation on using AI to generate comments in code (not coding, just commenting). The assignment is to "generate a set of comment to this code like a 20 year experienced senior engineer would have".

and this is one of the comment it generated:

"We are a world leader in such and such technology and this code has been 50 years battle tested .... " I am not sure where they get the training data from (our model was sourced from one of the big AI tech companies, you probably have them in your index fund), but we have never been in business for 50 years and our code has never been "battle tested". I told the guy to spend all the potential time saving he got from this AI comment project in proposing a test plan on validating AI's work. Make sure 1) it is not going to get us into lawsuit, 2) make sure it will not cause user error or safety issue (people can get hurt following wrong instruction in our industry), and 3) make sure it won't embarrass the users, their bosses, and their bosses' bosses.

It was fun nonetheless though, we all had a great time.
 
Companies led by NVIDIA are coining new terms to describe what they are working on. Not sure if you are familiar with the term, "Physical AI".
Physical AI lets autonomous systems like cameras, robots, and self-driving cars perceive, understand, reason, and perform or orchestrate complex actions in the physical world.
I road in a Waymo for this first time this weekend while visiting Austin. The only thing I could think of was that a lot of people are going to be unemployed when this spreads. My father was a bus driver for years and doesn't believe they can handle NYC traffic. I had to give him the bad news and explain how many accidents people cause. By all accounts, these things are far safer than the average human driver.

The increasing energy density of batteries and lower costs for sensor and vision hardware is going to bring AI in to the real world for real. It's a gone conclusion. that's what Tesla's push for Optimus is about. I've been watching Boston Dynamic's robot videos for years. Terminator comes to mind.
 
I road in a Waymo for this first time this weekend while visiting Austin. The only thing I could think of was that a lot of people are going to be unemployed when this spreads. My father was a bus driver for years and doesn't believe they can handle NYC traffic. I had to give him the bad news and explain how many accidents people cause. By all accounts, these things are far safer than the average human driver.

The increasing energy density of batteries and lower costs for sensor and vision hardware is going to bring AI in to the real world for real. It's a gone conclusion. that's what Tesla's push for Optimus is about. I've been watching Boston Dynamic's robot videos for years. Terminator comes to mind.
There will not be enough jobs for humans. Inflection point...
 
There will not be enough jobs for humans. Inflection point...
Yeah, I'm rather worried about the same. Some say AI will get us a four-day work week, but I don't think the owners are inclined to do that. They'll just cut staff and make the holdovers continue working five days. We're heading back to feudalism for sure. Nearly there already with how concentrated wealth has become.
 
I road in a Waymo for this first time this weekend while visiting Austin. The only thing I could think of was that a lot of people are going to be unemployed when this spreads. My father was a bus driver for years and doesn't believe they can handle NYC traffic. I had to give him the bad news and explain how many accidents people cause. By all accounts, these things are far safer than the average human driver.

The increasing energy density of batteries and lower costs for sensor and vision hardware is going to bring AI in to the real world for real. It's a gone conclusion. that's what Tesla's push for Optimus is about. I've been watching Boston Dynamic's robot videos for years. Terminator comes to mind.
Your dad forgot 2 things:

1) traffic rules and design can change to solve some of the problems we have. We are going to soon have a 4th color in traffic light for self-driving (white), that in a nut shell allow self driven vehicles to run through but not for human drivers. In a way you can say self driving can align to meet at the intersection together and figure themselves out, and the human drivers will be at the red yellow green time slot waiting for each other.

2) You don't need to have self driving go through the same choke point as human driver. They can go around traffic in back road when no impatient humans are inside, and they can drive away after drop off to free up road and parking spaces. Human literally don't care how many days the cheapest shipping cost and whether they were on a boat sailing in the ocean for 14 days, they wouldn't care as long as they are not in the self-driving car as well which is probably going to reduce a lot of traffic congestion. BTW self driving can be on a gas vehicle as well so the range can be as long as you want.
 
Back
Top Bottom