> Driverless long-haul trucks are apparently just a few years away, and the main worry now is not so much the safety of these trucks but the specter of unemployment facing millions of people currently employed as truck drivers. No, no they're not. We have some lane tracking in good weather etc., but we are still decades (or more) away from full level-5 autonomy that would make drivers behind the wheel unnecessary. Bu…
Unreasonable Ineffectiveness of Machine Learning in Computer Systems Research
11–20 of 105 posts
Re: Unreasonable Ineffectiveness of Machine Learning in Computer Systems Research
#12Cute title but the post didn't really address either reasonableness or effectiveness, but mostly claimed that the potential has not yet been realized. It's a pet peeve of mine to see these hackneyed joke titles referencing famous papers, "considered harmful" is another case in point. Let's just stick to descriptive titles.
Re: Unreasonable Ineffectiveness of Machine Learning in Computer Systems Research
#13Re: Unreasonable Ineffectiveness of Machine Learning in Computer Systems Research
#14> Driverless long-haul trucks are apparently just a few years away, and the main worry now is not so much the safety of these trucks but the specter of unemployment facing millions of people currently employed as truck drivers. No, no they're not. We have some lane tracking in good weather etc., but we are still decades (or more) away from full level-5 autonomy that would make drivers behind the wheel unnecessary. Bu…
Waymo's test drivers have to take control once every 5,000 miles.
It would be nice if there were some credible, unbiased sources that were predicting when full level 5 might be viable.
Edit: Maybe a somewhat credible opposing view. Though he may be crabby about his department being drained of talent, and so not unbiased: https://motherboard.vice.com/en_us/article/robotics-lab-uber...
Re: Unreasonable Ineffectiveness of Machine Learning in Computer Systems Research
#15> Driverless long-haul trucks are apparently just a few years away, and the main worry now is not so much the safety of these trucks but the specter of unemployment facing millions of people currently employed as truck drivers. No, no they're not. We have some lane tracking in good weather etc., but we are still decades (or more) away from full level-5 autonomy that would make drivers behind the wheel unnecessary. Bu…
> but we are still decades (or more) away from full level-5 autonomy Decades? Are you really sure? This assumption seems quite uninformed to me. The Grand Challenge was 12 years ago, from then we evolved from Level 1 to Level 3. Back then there was no data, computing power wasn't available as today, chips (&sensors) can be designed an built within a few months or even less these days for far less money. Machine Learn…
Re: Unreasonable Ineffectiveness of Machine Learning in Computer Systems Research
#16How comparable are these jobs?
Re: Unreasonable Ineffectiveness of Machine Learning in Computer Systems Research
#17Earlier quoted context omitted.
Waymo's test drivers have to take control once every 5,000 miles.
That is impressive, but isn't Waymo driving on some limited number of pre-set routes? It would be nice if there were some credible, unbiased sources that were predicting when full level 5 might be viable. Edit: Maybe a somewhat credible opposing view. Though he may be crabby about his department being drained of talent, and so not unbiased: https://motherboard.vice.com/en_us/article/robotics-lab-uber...
Personally, I very much doubt we're more than a decade away from cars-drive-way-better-than-people levels of tech. Whether that means you'll be able to buy one is another question.
Re: Unreasonable Ineffectiveness of Machine Learning in Computer Systems Research
#18Earlier quoted context omitted.
Waymo's test drivers have to take control once every 5,000 miles.
That is impressive, but isn't Waymo driving on some limited number of pre-set routes? It would be nice if there were some credible, unbiased sources that were predicting when full level 5 might be viable. Edit: Maybe a somewhat credible opposing view. Though he may be crabby about his department being drained of talent, and so not unbiased: https://motherboard.vice.com/en_us/article/robotics-lab-uber...
Re: Unreasonable Ineffectiveness of Machine Learning in Computer Systems Research
#19Earlier quoted context omitted.
Waymo's test drivers have to take control once every 5,000 miles.
That is impressive, but isn't Waymo driving on some limited number of pre-set routes? It would be nice if there were some credible, unbiased sources that were predicting when full level 5 might be viable. Edit: Maybe a somewhat credible opposing view. Though he may be crabby about his department being drained of talent, and so not unbiased: https://motherboard.vice.com/en_us/article/robotics-lab-uber...
This claim is almost certainly true for the topic at hand, since long-haul trucking is the highway-est of highway driving. Outside of the topic at hand, my own extremely subjective opinion is that they chose some of the tamest suburbs possible (I have significant experience in the Bay Area, SoCal, Austin, and Pittsburgh).
Re: Unreasonable Ineffectiveness of Machine Learning in Computer Systems Research
#20> Driverless long-haul trucks are apparently just a few years away, and the main worry now is not so much the safety of these trucks but the specter of unemployment facing millions of people currently employed as truck drivers. No, no they're not. We have some lane tracking in good weather etc., but we are still decades (or more) away from full level-5 autonomy that would make drivers behind the wheel unnecessary. Bu…
> but we are still decades (or more) away from full level-5 autonomy Decades? Are you really sure? This assumption seems quite uninformed to me. The Grand Challenge was 12 years ago, from then we evolved from Level 1 to Level 3. Back then there was no data, computing power wasn't available as today, chips (&sensors) can be designed an built within a few months or even less these days for far less money. Machine Learn…