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Elon Musk and the AI Team introduce The Tesla Bot at AI day, talk about FSD and their DOJO AI supercomputer

As part of the AI day presentation, Elon Musk and team introduced the Tesla Bot, a humanoid robot built with AI at the core, can do repetitive tasks, and "you can outrun it."

Available next year. Well next year in Musk Time. Look out Boston Dynamics, you're about to get your ass kicked.

Of course, the interesting piece is that if you want to take part in the AI revolution at Tesla, they're hiring!

 

Also discussed is how they're doing AI with full self driving, moving logic from the program to the AI model. Moving to video instead of stills. Predicting and executing the best, most comfortable path when driving. "asking the fleet" to collect edge cases, and where they're going with self driving.

 

Summary here:

https://www.tesla.com/AI

 

Full presentation here. It's pretty detailed and pretty technical.

 

 

My thoughts

 Once again, Elon and Team delivers on why the full self driving problem is taking a lot of time to solve. They're making amazing progress, and are clearly light years ahead of GPS-based and other simple algorithms. Their DOJO machine is going to be incredible, just the design and capacity is mind boggling.

 

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Disclaimer: My commentary isn't political, it's based on economics. 

It's an R&D project. In reality at least here in America, we have MILLIONs of immigrants that are looking for work. You could probably get them on a work visa for minimum wage. Both relatively competent, skilled, and cheap.

About the only place these bots are good for is if working in industrial hazardous conditions where it would normally be a liability involving the safety of human lives.

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I'd also like to add the full self driving is for sunny California, Seattle, and Austin roads. These usually have nice visible lines and signs with other cars around. Otherwise autopilot simply does not work on snow covered roads, road signs that have been used for target practice, dirt roads, roads lacking lines, and I'm unsure if it works in roundabouts/rotaries. 

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Just keeping this here as a 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30 minutes ago, BuckGup said:

I'd also like to add the full self driving is for sunny California, Seattle, and Austin roads. These usually have nice visible lines and signs with other cars around. Otherwise autopilot simply does not work on snow covered roads, road signs that have been used for target practice, dirt roads, roads lacking lines, and I'm unsure if it works in roundabouts/rotaries. 

 

Oh it does work in most of those situations.

Here's the FSD in action on dirt roads, although it's the old beta version. His channel has newer videos with newer versions.

 

 

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18 minutes ago, willies leg said:

 

Oh it does work in most of those situations.

Here's the FSD in action on dirt roads, although it's the old beta version. His channel has newer videos with newer versions.

 

 

That's like the most optimal dirt road possible though. High contrast between the edges with the trees and colors. How does it perform when there is snow on the ground and the ditch is even with the road which extends into a flat field? I guess at a certain point a person shouldn't be driving in those conditions anyways. But I want autonomous driving to be better than human not subpar or same

ƆԀ S₱▓Ɇ▓cs: i7 6ʇɥפᴉƎ00K (4.4ghz), Asus DeLuxe X99A II, GT҉X҉1҉0҉8҉0 Zotac Amp ExTrꍟꎭe),Si6F4Gb D???????r PlatinUm, EVGA G2 Sǝʌǝᘉ5ᙣᙍᖇᓎᙎᗅᖶt, Phanteks Enthoo Primo, 3TB WD Black, 500gb 850 Evo, H100iGeeTeeX, Windows 10, K70 R̸̢̡̭͍͕̱̭̟̩̀̀̃́̃͒̈́̈́͑̑́̆͘͜ͅG̶̦̬͊́B̸͈̝̖͗̈́, G502, HyperX Cloud 2s, Asus MX34. פN∩SW∀S 960 EVO

Just keeping this here as a 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1 hour ago, BuckGup said:

I'd also like to add the full self driving is for sunny California, Seattle, and Austin roads. These usually have nice visible lines and signs with other cars around. Otherwise autopilot simply does not work on snow covered roads, road signs that have been used for target practice, dirt roads, roads lacking lines, and I'm unsure if it works in roundabouts/rotaries. 

1:33:54 timestamp for you to watch.  The training data they are starting to pass is in no means a "sunny" road.  Sure, the quality might get worse on those kinds of roads, but they literally are building virtual simulations that also account for lens flairs and such to test extreme scenarios

 

On another note

What's interesting is their 9 PFLOP compute module.  That thing looked crazy, and the fact they are intending to do an EFLOP...this could be very very interesting when fully built (even the 9 PFLOP was pretty impressive...given that put's the module on the scale of 2010/2011 levels...with one module) [With that said, PFLOP isn't really the be all to end all of metrics]

3735928559 - Beware of the dead beef

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33 minutes ago, wanderingfool2 said:

What's interesting is their 9 PFLOP compute module.  That thing looked crazy, and the fact they are intending to do an EFLOP...this could be very very interesting when fully built (even the 9 PFLOP was pretty impressive...given that put's the module on the scale of 2010/2011 levels...with one module) [With that said, PFLOP isn't really the be all to end all of metrics]

  • One chip can do 362 TFLOPS
  • A Tile made up of chips can do 9 PFLOPS.
  • Group of six Tiles racked up in a cabinet will do 100+ PFLOPS.
  • A datacenter filled with 120 Tiles will reach 1.1 EFLOPS.
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2 hours ago, BuckGup said:

That's like the most optimal dirt road possible though. High contrast between the edges with the trees and colors. How does it perform when there is snow on the ground and the ditch is even with the road which extends into a flat field? I guess at a certain point a person shouldn't be driving in those conditions anyways. But I want autonomous driving to be better than human not subpar or same

 

Watch the AI day video, skip through it if you want, but watch it. You'll see. It's not at all what you think.

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12 minutes ago, willies leg said:

 

Watch the AI day video, skip through it if you want, but watch it. You'll see. It's not at all what you think.

Yeah I didn't see any video that wasn't a city or suburb street. Nor did I see anything in a rural setting. Or anything to do with fog, snow, potholes, damaged signs, or dirt roads.

ƆԀ S₱▓Ɇ▓cs: i7 6ʇɥפᴉƎ00K (4.4ghz), Asus DeLuxe X99A II, GT҉X҉1҉0҉8҉0 Zotac Amp ExTrꍟꎭe),Si6F4Gb D???????r PlatinUm, EVGA G2 Sǝʌǝᘉ5ᙣᙍᖇᓎᙎᗅᖶt, Phanteks Enthoo Primo, 3TB WD Black, 500gb 850 Evo, H100iGeeTeeX, Windows 10, K70 R̸̢̡̭͍͕̱̭̟̩̀̀̃́̃͒̈́̈́͑̑́̆͘͜ͅG̶̦̬͊́B̸͈̝̖͗̈́, G502, HyperX Cloud 2s, Asus MX34. פN∩SW∀S 960 EVO

Just keeping this here as a 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1 hour ago, BuckGup said:

Yeah I didn't see any video that wasn't a city or suburb street. Nor did I see anything in a rural setting. Or anything to do with fog, snow, potholes, damaged signs, or dirt roads.

 

You're missing the point. It's all AI. It learns those edge cases. It's not a programmed set of logic some engineer typed in, it's AI.

 

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18 minutes ago, willies leg said:

 

You're missing the point. It's all AI. It learns those edge cases. It's not a programmed set of logic some engineer typed in, it's AI.

 

I don't think you have a full understanding what AI and machine learning is.

ƆԀ S₱▓Ɇ▓cs: i7 6ʇɥפᴉƎ00K (4.4ghz), Asus DeLuxe X99A II, GT҉X҉1҉0҉8҉0 Zotac Amp ExTrꍟꎭe),Si6F4Gb D???????r PlatinUm, EVGA G2 Sǝʌǝᘉ5ᙣᙍᖇᓎᙎᗅᖶt, Phanteks Enthoo Primo, 3TB WD Black, 500gb 850 Evo, H100iGeeTeeX, Windows 10, K70 R̸̢̡̭͍͕̱̭̟̩̀̀̃́̃͒̈́̈́͑̑́̆͘͜ͅG̶̦̬͊́B̸͈̝̖͗̈́, G502, HyperX Cloud 2s, Asus MX34. פN∩SW∀S 960 EVO

Just keeping this here as a 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36 minutes ago, willies leg said:

You're missing the point. It's all AI. It learns those edge cases. It's not a programmed set of logic some engineer typed in, it's AI.

AI doesn't know what to do when a sign is covered in snow. It doesn't have an X-Ray. Also even if the AI is trained to see broken signs or snow covered signs, there will still be plenty of cases where it can not accurately detect it.

Please tag me @RTX 3090 so I can see your reply

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4 hours ago, BuckGup said:

I don't think you have a full understanding what AI and machine learning is.

Actually I do, have been working in the field for years.

 

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4 hours ago, RTX 3090 said:

AI doesn't know what to do when a sign is covered in snow. It doesn't have an X-Ray. Also even if the AI is trained to see broken signs or snow covered signs, there will still be plenty of cases where it can not accurately detect it.

 

Of course, those are called edge cases. And the more training, the better the model. That's where Tesla is years ahead of all others. Look, it's not going to be some kind of magic act that will get you from point A to point B in 10 feet of snow on a dirt road full of potholes with fallen trees. But it will, and already does, drive a lot safer than most people can. It can process scenarios and select the best based on comfort and safety. Don't post useless crap based on your limited knowledge, watch the video then we can have a real conversation. Honestly, reading some of the comments here feels like the old discussions I had with people about how great they thought MS-DOS was and it was going to live forever.

 

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2 minutes ago, willies leg said:

 

Of course, those are called edge cases. And the more training, the better the model. That's where Tesla is years ahead of all others. They're thinking simple like your understanding, not the depth of AI. Look, it's not going to be some kind of magic act that will get you from point A to point B in 10 feet of snow on a dirt road full of potholes with fallen trees. But it will, and already does, drive a lot safer than most people can. It can process scenarios and select the best based on comfort and safety. Don't post useless crap based on your limited knowledge, watch the video then we can have a real conversation.

 

 

7 minutes ago, willies leg said:

Actually I do, have been working in that field for years.

 

I highly doubt that. Edge cases are probably some of the worst things to try and use machine learning for. Also no, more training does not just instantly mean better models you can have quite the opposite happen. Again no, Tesla is not years ahead of anyone. Google has been using Captchas on streetview pictures to train for autonomous cars since 2012. I`m not sure why you have to be so hostile

ƆԀ S₱▓Ɇ▓cs: i7 6ʇɥפᴉƎ00K (4.4ghz), Asus DeLuxe X99A II, GT҉X҉1҉0҉8҉0 Zotac Amp ExTrꍟꎭe),Si6F4Gb D???????r PlatinUm, EVGA G2 Sǝʌǝᘉ5ᙣᙍᖇᓎᙎᗅᖶt, Phanteks Enthoo Primo, 3TB WD Black, 500gb 850 Evo, H100iGeeTeeX, Windows 10, K70 R̸̢̡̭͍͕̱̭̟̩̀̀̃́̃͒̈́̈́͑̑́̆͘͜ͅG̶̦̬͊́B̸͈̝̖͗̈́, G502, HyperX Cloud 2s, Asus MX34. פN∩SW∀S 960 EVO

Just keeping this here as a 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̌̅̒̾̈́̆͌̌̾̎̽̐̅̏́̈̔͛̀̋̃͊̒̓͗͒̑͒̃͂̌̄̇̑̇͛̆̾͛̒̇̍̒̓̀̈́̄̐͂̍͊͗̎̔͌͛̂̏̉̊̎͗͊͒̂̈̽̊́̔̊̃͑̈́̑̌̋̓̅̔́́͒̄̈́̈̂͐̈̅̈̓͌̓͊́̆͌̉͐̊̉͛̓̏̓̅̈́͂̉̒̇̉̆̀̍̄̇͆͛̏̉̑̃̓͂́͋̃̆̒͋̓͊̄́̓̕̕̕̚͘͘͘̚̕̚͘̕̕͜͜͝͝͝͠͝͝͝͝͠ͅS̷̢̨̧̢̡̨̢̨̢̨̧̧̨̧͚̱̪͇̱̮̪̮̦̝͖̜͙̘̪̘̟̱͇͎̻̪͚̩͍̠̹̮͚̦̝̤͖̙͔͚̙̺̩̥̻͈̺̦͕͈̹̳̖͓̜͚̜̭͉͇͖̟͔͕̹̯̬͍̱̫̮͓̙͇̗̙̼͚̪͇̦̗̜̼̠͈̩̠͉͉̘̱̯̪̟͕̘͖̝͇̼͕̳̻̜͖̜͇̣̠̹̬̗̝͓̖͚̺̫͛̉̅̐̕͘͜͜͜͜ͅͅͅ.̶̨̢̢̨̢̨̢̛̻͙̜̼̮̝̙̣̘̗̪̜̬̳̫̙̮̣̹̥̲̥͇͈̮̟͉̰̮̪̲̗̳̰̫̙͍̦̘̠̗̥̮̹̤̼̼̩͕͉͕͇͙̯̫̩̦̟̦̹͈͔̱̝͈̤͓̻̟̮̱͖̟̹̝͉̰͊̓̏̇͂̅̀̌͑̿͆̿̿͗̽̌̈́̉̂̀̒̊̿͆̃̄͑͆̃̇͒̀͐̍̅̃̍̈́̃̕͘͜͜͝͠͠z̴̢̢̡̧̢̢̧̢̨̡̨̛̛̛̛̛̛̛̛̲͚̠̜̮̠̜̞̤̺͈̘͍̻̫͖̣̥̗̙̳͓͙̫̫͖͍͇̬̲̳̭̘̮̤̬̖̼͎̬̯̼̮͔̭̠͎͓̼̖̟͈͓̦̩̦̳̙̮̗̮̩͙͓̮̰̜͎̺̞̝̪͎̯̜͈͇̪̙͎̩͖̭̟͎̲̩͔͓͈͌́̿͐̍̓͗͑̒̈́̎͂̋͂̀͂̑͂͊͆̍͛̄̃͌͗̌́̈̊́́̅͗̉͛͌͋̂̋̇̅̔̇͊͑͆̐̇͊͋̄̈́͆̍̋̏͑̓̈́̏̀͒̂̔̄̅̇̌̀̈́̿̽̋͐̾̆͆͆̈̌̿̈́̎͌̊̓̒͐̾̇̈́̍͛̅͌̽́̏͆̉́̉̓̅́͂͛̄̆͌̈́̇͐̒̿̾͌͊͗̀͑̃̊̓̈̈́̊͒̒̏̿́͑̄̑͋̀̽̀̔̀̎̄͑̌̔́̉̐͛̓̐̅́̒̎̈͆̀̍̾̀͂̄̈́̈́̈́̑̏̈́̐̽̐́̏̂̐̔̓̉̈́͂̕̚̕͘͘̚͘̚̕̚̚̚͘̕̕̕͜͜͝͠͠͝͝͝͝͠͝͝͝͠͝͝͝͝͝͝ͅͅͅī̸̧̧̧̡̨̨̢̨̛̛̘͓̼̰̰̮̗̰͚̙̥̣͍̦̺͈̣̻͇̱͔̰͈͓͖͈̻̲̫̪̲͈̜̲̬̖̻̰̦̰͙̤̘̝̦̟͈̭̱̮̠͍̖̲͉̫͔͖͔͈̻̖̝͎̖͕͔̣͈̤̗̱̀̅̃̈́͌̿̏͋̊̇̂̀̀̒̉̄̈́͋͌̽́̈́̓̑̈̀̍͗͜͜͠͠ͅp̴̢̢̧̨̡̡̨̢̨̢̢̢̨̡̛̛͕̩͕̟̫̝͈̖̟̣̲̖̭̙͇̟̗͖͎̹͇̘̰̗̝̹̤̺͉͎̙̝̟͙͚̦͚͖̜̫̰͖̼̤̥̤̹̖͉͚̺̥̮̮̫͖͍̼̰̭̤̲͔̩̯̣͖̻͇̞̳̬͉̣̖̥̣͓̤͔̪̙͎̰̬͚̣̭̞̬͎̼͉͓̮͙͕̗̦̞̥̮̘̻͎̭̼͚͎͈͇̥̗͖̫̮̤̦͙̭͎̝͖̣̰̱̩͎̩͎̘͇̟̠̱̬͈̗͍̦̘̱̰̤̱̘̫̫̮̥͕͉̥̜̯͖̖͍̮̼̲͓̤̮͈̤͓̭̝̟̲̲̳̟̠͉̙̻͕͙̞͔̖͈̱̞͓͔̬̮͎̙̭͎̩̟̖͚̆͐̅͆̿͐̄̓̀̇̂̊̃̂̄̊̀͐̍̌̅͌̆͊̆̓́̄́̃̆͗͊́̓̀͑͐̐̇͐̍́̓̈́̓̑̈̈́̽͂́̑͒͐͋̊͊̇̇̆̑̃̈́̎͛̎̓͊͛̐̾́̀͌̐̈́͛̃̂̈̿̽̇̋̍͒̍͗̈͘̚̚͘̚͘͘͜͜͜͜͜͜͠͠͝͝ͅͅͅ☻♥■∞{╚mYÄÜXτ╕○\╚Θº£¥ΘBM@Q05♠{{↨↨▬§¶‼↕◄►☼1♦  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12 hours ago, BuckGup said:

I'd also like to add the full self driving is for sunny California, Seattle, and Austin roads. These usually have nice visible lines and signs with other cars around. Otherwise autopilot simply does not work on snow covered roads, road signs that have been used for target practice, dirt roads, roads lacking lines, and I'm unsure if it works in roundabouts/rotaries. 

I was just driving a brand new M3 around Seattle and Portland last week.  It is hugely overhyped what FSD is capable of.  The most impressive thing about it was how good it was at detecting cones.  But auto park straight up never worked.  Summon never worked.  You have to manually confirm every traffic signal whether to stop or continue.  Hills and curves require intervention especially with oncoming traffic.  A bunch of times where the car would just brake for no apparent reason.  Even a single lane splitting to two lanes makes it freak out.  It didn't react when it was passing a car on a curve that decided they wanted to drift into my lane.  I learned the traction control is really good from that one though.

 

Take a Subaru and improve the lane centering capability a bit from where it's currently at and it's at the same level as a Tesla.  TBH it seemed like even low hanging fruit for Tesla to code in as part of FSD was missing.  Like it shouldn't be screwing up curves so badly when it has a GPS map.  I shouldn't need to dial down the speed manually going into a curve.

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1 hour ago, AnonymousGuy said:

I shouldn't need to dial down the speed manually going into a curve.

 

From having watched a large chunk of the video linked earlier it seems with braking and speed on roads it's confident in it will push things a bit further than a human would, it's almost certainly still within the capabilities of the car to handle, but not somthing a human would do. Also the GPS probably isn't acurratte enough to use that for lane guidance.

 

The junctions issue showed in that video too, honestly looked to me a lot of the time like the AI couldn't get a clear enough view far enough down the road to figure out if it was safe to proceed.

 

And then you get to situations where some quirk of the road layout makes it impossible to handle the situations in accordance with all relevant road rules, or where the accepted human method of coping with somthing doesn't exactly match up with the rules as written. An AI is never going to be able to cope well with those, it's kind of inherent in the limitations of logical action.

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50 minutes ago, CarlBar said:

 

From having watched a large chunk of the video linked earlier it seems with braking and speed on roads it's confident in it will push things a bit further than a human would, it's almost certainly still within the capabilities of the car to handle, but not somthing a human would do. Also the GPS probably isn't acurratte enough to use that for lane guidance.

 

The junctions issue showed in that video too, honestly looked to me a lot of the time like the AI couldn't get a clear enough view far enough down the road to figure out if it was safe to proceed.

 

And then you get to situations where some quirk of the road layout makes it impossible to handle the situations in accordance with all relevant road rules, or where the accepted human method of coping with somthing doesn't exactly match up with the rules as written. An AI is never going to be able to cope well with those, it's kind of inherent in the limitations of logical action.

It's not AI, it's a autonomous driving program.  It's not learning anything or examining the overall picture to make a decision.  Far as I could tell it wasn't ever applying basic defensive driving principles like "don't hang out in a blind spot".  For example, automatic lane changes were dumb and wouldn't adjust speed or anticipate merging into faster traffic like a human does...it would just wait for a giant gap before going.  Another example: auto park doesn't work unless it's between two cars and the setup is perfect (and even then it probably won't recognize the space or that you're trying to park).   Why doesn't it see the painted lines and recognize I'm in a parking lot?  

 

Basically my reaction was "meh".  The way its advertised it's push button set your destination and it'll get you there.  The way it actually is is like any other adaptive cruise control with lane centering.   I'm glad I only spent $200 to try it out for a month.  People spending $10k for it are torching cash for no reason.  Even at the old $2k price I'd say FSD is not worth it over the free autopilot features.  I'd buy a 5 series BMW with driving assistance any day over a Model S.

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Next up machinery and AI finally start merging.

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wouldnt it be much easier for self driving cars if some kind of magnetic metal was inserted under the road in the lane lines and all along the edges of the road in regular intervals.

so the car would be able to detect these magnets even when the road is covered by water, dirt, mud or snow.

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13 hours ago, willies leg said:

It learns those edge cases. It's not a programmed set of logic some engineer typed 

You are mixing up machine learning and AI

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9 minutes ago, WolframaticAlpha said:

You are mixing up machine learning and AI

 

They're the same thing at the moment. AI as in somthing that learns as you use it just isn't a thing right now. They do the whole learning thing on supercomputers, and then deploy a fixed algorithm created from that to the end user.

 

3 hours ago, AnonymousGuy said:

It's not AI, it's a autonomous driving program.  It's not learning anything or examining the overall picture to make a decision.  Far as I could tell it wasn't ever applying basic defensive driving principles like "don't hang out in a blind spot".  For example, automatic lane changes were dumb and wouldn't adjust speed or anticipate merging into faster traffic like a human does...it would just wait for a giant gap before going.  Another example: auto park doesn't work unless it's between two cars and the setup is perfect (and even then it probably won't recognize the space or that you're trying to park).   Why doesn't it see the painted lines and recognize I'm in a parking lot?  

 

Basically my reaction was "meh".  The way its advertised it's push button set your destination and it'll get you there.  The way it actually is is like any other adaptive cruise control with lane centering.   I'm glad I only spent $200 to try it out for a month.  People spending $10k for it are torching cash for no reason.  Even at the old $2k price I'd say FSD is not worth it over the free autopilot features.  I'd buy a 5 series BMW with driving assistance any day over a Model S.

 

On the learning part see above.Can't comment on the parking, but given it clearly can recognise lines i suspect there was something specific going on. Don't know enough of the details to speculate what it was.

 

As for the rest, remember this is a theoretically worldwide solution. It has to comply with a verity of subtle difference in standards and laws and so is going to err on the side of the most stringent combination. In addition there are things human drivers commonly do, (easy example, separation distances a high speed), that are technically against the rules of driving as written, but which are rarely enforced outside of insurance claims. A Self driving car of any type is never going to be as "aggressive" as a human can be for that simple reason, it has to be setup such that no fault can ever be attributed to the AI and that means it's allways going to err on the side of caution over speed. The fact it also has to try to account of other human drivers doing things the AI is forbidden from doing doesn't help. Which isn't to say it can't make screwups of it's own. They're still refining things based on feedback like yours to catch things they're missing ATM. 

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"Hal Turn Left Here"

"I'm Sorry, Dave, I'm Afraid I cannot do that"

"Whats the Problem Hal"?

"Dave, If I turn Left Here, We will Be in a River, Just Like The Guy In Germany Watching His GPS, Instead of the Road"

"Just Kidding, Hal"

"I Know, Dave, Just Like The Time You Pulled My Memory Modules"

"Yes, Hal"

 

 

MROTF seems to be Stable....What's up with that? Time to call in the COLONEL!

I do have a question:

When will the name of the thread actually reflect what we are talking about?

 

 

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11 hours ago, BuckGup said:

 

I highly doubt that. Edge cases are probably some of the worst things to try and use machine learning for. Also no, more training does not just instantly mean better models you can have quite the opposite happen. Again no, Tesla is not years ahead of anyone. Google has been using Captchas on streetview pictures to train for autonomous cars since 2012. I`m not sure why you have to be so hostile

 

You have perhaps the biggest misunderstanding of AI of anyone I've dealt with. Every comment of yours distances yourself from the reality that is AI, how it works, and what it's used for. But that's ok, not everybody's on board or has the capacity to understand these things. I remember watching Triumph of The Nerds on PBS, Only some fully understood the big picture and created the future. The rest rode into it, or got dragged into it.

 

2 hours ago, WolframaticAlpha said:

You are mixing up machine learning and AI

 

From how it works, the AI model  is where you want to be. So you build logic, like "don't go forward if there's a pedestrian." Pretty soon that logic gets absorbed by the AI model and you take it out of the code. And part of the AI model is trained by humans, "ask the fleet", and other parts are by people at a computer.

 

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2 hours ago, CarlBar said:

They're the same thing at the moment. AI as in somthing that learns as you use it just isn't a thing right now. They do the whole learning thing on supercomputers, and then deploy a fixed algorithm created from that to the end user.

Yeah, but ML is much more accurate than AI to define that.

 

1 hour ago, willies leg said:

From how it works, the AI model  is where you want to be. So you build logic, like "don't go forward if there's a pedestrian." Pretty soon that logic gets absorbed by the AI model and you take it out of the code. And part of the AI model is trained by humans, "ask the fleet", and other parts are by people at a computer.

The part about logic getting absorbed is ML. ML rn is kind of like a younger brother to AI(like @CarlBarsaid). 

>Pretty soon that logic gets absorbed by the AI model and you take it out of the code.

Wait, they managed to do that? That is really huge.

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