Comments by "Joe Qi" (@i6power30) on "The Electric Viking" channel.

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  650.  @nickmcconnell1291  Nah, I already knew video generation was possible even 5 years ago, it was just matter of waiting for faster hardware and packaging it nicely for consumers like Open AI did. There is nothing revolutionary here. A pocket calculator can do multiplication millions times faster than humans, doesn't mean it can reason. AI machine learning can play chess better, can generate videos based on pattern matching, doesn't mean it can reason. Humans can learn from a handful examples, machine learning models need millions. They lack flexibility and general reasoning of human brain. In a game simulation, maching learning algorithm will be eatn by a lion a million times in various different ways before it learns to avoid it every time, not just sometimes. Even the dumbest human players will learn to avoid lions EVERY time, after just being eaten once, or twice. That's why sometimes you get werid mistakes from AI, such as a realistic looking picture of a farmer, but he has 6 fingers in one hand. Or videos with 3 wolves emerging out of just one body. Sometimes in Tesla FSD, a glare or smoke, or flash or light will make it mistaken for sometime else, and brake hard. It's all just examples of werid errors even the dumbest humans will not make. They cannot generalize and reason in broader context. All we are doing now with the current AI is improving task-specific level, making them more accurate and faster, but will never be able to adapt and be flexible like humans. What if FSD car encounters a police officer redirecting traffic with hand gestures? How many different hand gesture data examples does it need to be trained on before it can accurately and reliably handle all situations? Not all police officers do gestures the same way, not all of them wear the same uniform, some have gloves on, some don't, some use 1 finger, some uses 3 fingers etc. etc. What if there is a road rage, can AI read the "emotions" of the scene? Humans can sense danger and steer away from such situations. There many many such examples that the current AI machine learning bots simply unable to handle as well as humans can intuitively. I've been in this field many years. I hate to use the term AI because we don't have it yet. What we have is machine learning model of nueral network, which is not a model of human brain or mind, but simply a computer algorithm optimized for pattern reconition and reconstructure. It does not have ability to reason or understand which are both required for being called intelligent. You can ask a machine to generate a picture or a video of roomful of people at party. Then Ask the machine learning AI what is the vibe or mood of the roomful of people, and who is at the center of attention. Is he/she feeling happy or sad? It will not be able to answer these simple questions, but average humans can effortlessly.
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  905.  @KP-xi4bj  Your bias is based on old perception of inferior Chinese quality and not keeping up to date with the latest development. The fires you cited are usually PHEV, or older models of BYD cars that used previous generation of batteries, or are PHEVs. The current generation of BYD blade batteries, and CATL LFP batteries are far safer and infact industry leader, well ahead of Korean and Japanese competition by a mile. Then there is the cutting edge Zeekr Golden battery that will withstand fire up to 1000 degrees without catching fire. Beat that Panasonic or LG? LG to pay up to $1.9 billion to General Motors over Bolt EV battery fires - October 2022, CNBC General Motors recalls 140,000 Chevrolet Bolt EVs over fire risks - December 2022, CNBC Chevy Bolt EV That Missed Battery Recall Spontaneously Combusts On Mass. Driveway - August, 2023, Carscoops EV Jaguar 'spontaneously' catches fire while charging in garage - January 2024, Fox31 Tesla catches fire at charging station - New Orleans WWLTV, March 2024 - Note that Teslas sold in America use Panasonic or LG batteries, not Chinese due to tax incentive qualification rules. BYD Switches to EV Batteries It Says Won’t Ever Catch Fire - BNN Bloomberg, August 2023 The same new fire-resistant materials the battery cell is made out of are claimed to not explode when subjected to extreme heat, which is reassuring, and to prove it Zeekr says when dropped in a fire pit at a temperature of 700C the Golden Battery didn't ignite or detonate for more than 240 seconds - December 2023, EV Central
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  1326.  @KP-xi4bj  even with your own numbers, why does the best EV brand Tesla lose more value than a crappy Honda? what will be after 8 years? After 12 years? After 15 years? Batteries will probably need replacing after 12 years. If not they will be obsolete and worth nothing. Ice will stay the same if well maintained and low mileage. EV batteries degrades with calendar aging regardless of maintenance and mileage You are the naive one to keep telling yourself because Tesla doesn't need maintenance in the first few years there is no cost? What about repair costs in case of damage? Ok you are a perfect diver you will never damage it fine. Depreciation alone over Corolla and Civic negates any fuel savings. And why are you so proud about rebates? Does it reflect the true merit of a car or artificially inflated number by the government policies? Toyota Prius prime and RAV4 prime actually increased in value after 1-2 years and will still save you 95% of fuel and still qualifies for government incentives here in Canada. And they will have much better long term reliability then Tesla or any EVs in the market, maybe except for BYD but Chinese EVs are banned thanks to hypocrite government. As for the warranty length, usually the worst brands have the longest warranty. Hyundai and Kia come to mind also VW. Battery warranty doesn't mean other components won't break. Those model S with over 200k miles usually have electric motors replaced 3-4 times. Battery pack also replaced under warranty. Toyota don't need lengthy warranty, their reliability history has proven it already. There are many 20, 25 year old Toyotas still on road with minimal maintenance. Carry on with your hubris. Believe the mainstream narrative that government tries hard to push down your throat.
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  1369.  @nickmcconnell1291  You couldn't be more wrong. I've been in AI research for over 10 years, and it's amazing to see Elon Must has not a faintest grasp of fundamental difference between brute force machine learning and AGI. He is trying to apply something rudimentary and inefficient to a task that requires more flexibility and complexity in a completely different nature. You can have 1000000 trillion miles of driving data, and 100000 trillion times faster computer than 1000000 trillion NVDIA A100 GPU running in parallel training the neuro-network for 10000 trillion years, it will still not be as good as flexivility and intuition of a chimpanzee's brain. Just because the machine learning algorithm can generate realistic looking videos (which is specific task), it doesn't have flexibility of reasoning and adapbility. For example, Ask it to read emotion or vibe of the room filled with various people, it will have no clue. Human brains takes just a few exmaples (a dozen or so), and 1/10000 of energy to learn a new task. The best machine learning algorithm takes magnitude more than that. It screams bruteforce, and the real AI breakthrough doesn't come from faster chips, or more data, it will come from a more elegant architecture, and maybe years away even at academic levels. All these mad chase for FSD etc is fool's errand. I will bet 1 million dollars, FSD will not come in 2 year,s not in 10 years. Just have another analogy. Your pocket calculator can do multiplication a million times faster than you, does it mean it's smarter than you? Sure the machine learning took pocket calculator to the next level, it can do pattern recognition, and even reconstruct based on some inputs, but they are still TASK-SPECIFIC. It cannot do general learning like humans do, and and key is that it takes million times more data to learn from - meaning they cannot reason and generalize like humans. In a game, They have to be eaten by lions 100000 times in various ways before they learn to run from lions. Humans will learn it after just a couple of times even for the most stupid players.
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  1724.  @yeahbuddy92193911  I'm a software engineer I know exactly what software fixes mean. It's not some kind of magic that will actually repair physical problems that your car might have. If it came a faulty component that might cause fire for example, software fix is not going to replace it, it will just disable it but the faulty component is still there just not used anymore, therefore no danger of fire. If that component is not critical to the function of car, then disabling it by software is much easier then taking them to shop to disconnect it or replace it. But it does come with a cost that whatever that component was designed to do, doesn't do anymore. Maybe it was for efficiency or backup for some rare situations. It takes out some functionality of the car. Another type of software fix is parameter adjustment. If users complain about reduced range for instance, software fix is to reduce the battery buffers so that more of battery pack can be used. This appears like magic for those gullible users. Battery buffers were there for good reasons, to prevent overcharging and over discharging. Reducing that could reduce longevity of battery or worse increase fire risk. And the final type of software fix is software bugs themselves. Thus my question is if Tesla fixes so many recalls by software update, does it mean they have such a bad software with so many bugs in it? Why didn't they get it right from the start? Or are they just doing bunch of bandaid fixes to the real physical problems?
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