According to CNET: Delivery robots face strict rules in San Francisco.
I like that picture above. Often when I see delivery robots in photos, they are by themselves on an uncrowded street. In the photo above, you can get a better sense of how it will be a problem if swarms of these things start taking over the sidewalk. The idea of sidewalks becoming more crowded by these tiny vehicles is a maddening one.
I’d be fine with them if city planners can come up with a way these robots can roll around and not impede better uses of the streets such as walking and cycling and public transit. Until then, the less robots crowding the sidewalks, the better.
Like drones in the air and autonomous cars on the roads, robots are coming to the sidewalks. City planners need to start planning for that now.
In honour of Blade Runner 2049 coming out today, here’s your chance to see if you are a replicant with this:
You say: I don’t need to take the test because I’m not a replicant. Some replicants believe that. 🙂 Better take the test.
According to Haydn Waters, a writer at CBC, the mail robots at the corporation are being discontinued. Instead:
Mail will be delivered twice a week (Tuesday and Thursday) to central mail delivery/pickup locations on each floor.”
What gets lost in alot of discussions of robots, AI, etc., taking all the jobs is that the drivers for the decisions is not technology but economics. If there is no economical need for robots and other technology, then that technology will not just appear. There is nothing inevitable about technology, and any specific technology is temporary.
Of course there will be more use of robots and AI and other technology to replace the work people may currently do. The key to finding work will be to continually improvise and improve on the tasks one has to do to remain employed. That’s something humans do well, and technology will struggle with for some time in the future, AI hype not withstanding.
If you are looking to build AI tech, or just learn about it, then you will find these interesting:
- Artificial intelligence pioneer says we need to start over – Axios – if Hinton says it, it is worth taking note
- Robots Will Take Fast-Food Jobs, But Not Because of Minimum Wage Hikes | Inverse – true. Economists need to stop making such a strong link here.
- Artificial Intelligence 101: How to Get Started | HackerEarth Blog – a good 101 piece
- Deep Learning Machine Teaches Itself Chess in 72 Hours, Plays at International Master Level – MIT Technology Review – the ability of tech to learn is accelerating.
- Now AI Machines Are Learning to Understand Stories – MIT Technology Review – and not just accelerating, but getting deeper.
- Robots are coming for your job. That might not be bad news – good alternative insight from Laurie Penny.
- Pocket: Physicists Unleash AI to Devise Unthinkable Experiments – not surprisingly, a smart use of AI
- AI’s dueling definitions – O’Reilly Media – this highlights one of the problems with AI, and that it is it is a suitcase word (or term) and people fill it with what they want to fill it with
- A Neural Network Playground – a very nice tool to start working with AI
- Foxconn replaces ‘60,000 factory workers with robots’ – BBC News – there is no doubt in places like Foxconn, robots are taking jobs.
- 7 Steps to Mastering Machine Learning With Python – don’t be put off by this site’s design: there is good stuff here
- How Amazon Triggered a Robot Arms Race – Bloomberg – Amazon made a smart move with that acquisition and it is paying off
- When Police Use Robots to Kill People – Bloomberg this is a real moral quandary and I am certain the police aren’t the only people to be deciding on it. See also: A conversation on the ethics of Dallas police’s bomb robot – The Verge
- How to build and run your first deep learning network – O’Reilly Media – more good stuff on ML/DL/AI
- This expert thinks robots aren’t going to destroy many jobs. And that’s a problem. | The new new economy – another alternative take on robots and jobs
- Neural Evolution – Building a natural selection process with AI – more tutorials
- Uber Parking Lot Patrolled By Security Robot | Popular Science – not too long after this, one of these robots drowned in a pool in a mall. Technology: it’s not easy 🙂
- A Robot That Harms: When Machines Make Life Or Death Decisions : All Tech Considered : NPR – this is kinda dumb, but worth a quick read.
- Mathematics of Machine Learning | Mathematics | MIT OpenCourseWare – if you have the math skills, this looks promising
- Small Prolog | Managing organized complexity – I will always remain an AI/Prolog fan, so I am including this link.
- TensorKart: self-driving MarioKart with TensorFlow – a very cool application
- AI Software Learns to Make AI Software – MIT Technology Review – there is less here than it appears, but still worth reviewing
- How to Beat the Robots – The New York Times – meh. I think people need to learn to work with the technology, not try to defeat it. If you disagree, read this.
- People want to know: Why are there no good bots? – bot makers, take note.
- Noahpinion: Robuts takin’ jerbs
- globalinequality: Robotics or fascination with anthropomorphism – everyone is writing about robots and jobs, it seems.
- Valohai – more ML tools
- Seth’s Blog: 23 things artificially intelligent computers can do better/faster/cheaper than you can – like I said, everyone is writing about AI. Even Seth Godin.
- The Six Main Stories, As Identified by a Computer – The Atlantic – again, not a big deal, but interesting.
- A poet does TensorFlow – O’Reilly Media – artists will always experiment with new mediums
- How to train your own Object Detector with TensorFlow’s Object Detector API – more good tooling.
- Rise of the machines – the best – by far! – non-technical piece I have read about AI and robots.
- We Trained A Computer To Search For Hidden Spy Planes. This Is What It Found. – I was super impressed what Buzzfeed did here.
- The Best Machine Learning Resources – Machine Learning for Humans – Medium – tons of good resources here.
This piece, 1.8 million American truck drivers could lose their jobs to robots. What then? (Vox) is a great primer on self driving trucks and how they are going to have a major impact sooner than later.
If you are interested in IT, AI or robots, it really shows one of the places where this technology is going to have a significant impact.
If you are interested in economics, politics, or sociology, then the effect of robots replacing all these truck drivers is definitely something you want to be aware of.
If you drive on highways, you definitely want to know about it.
In any case, it’s a good piece by David Roberts. That is his beat and I find he always does a great job of breaking down a topic like this and making it easier to understand and relevant to me. I recommend any of his pieces.
A year or so ago, a parking lot I use had a human in a booth to take tickets and provide other services. That human booth was replaced by the thing in the photo above.
It’s not a robot and it’s not A.I., but it is replacing humans.
Stories about A.I. or robots taking over work makes them interesting. It’s also secondary to the real story. What is really taking people’s jobs is a willingness of others to use technology, and a willingness of companies to replace people with technology. People are not afraid to use technology. If anything, sometimes they prefer to deal with technology. This makes it easier for companies to go with technology as compared to using people, and if companies can save money or make money, so much the better.
It is happening in all sorts of industries, from food to sportswriting. The technology isn’t the driver of this: it’s the willingness of people to prefer technology that is the driver.
The following is anuncritical and hyped-up analysis of robots, from Wired (On Cyber Monday, Friendly Robots Are Helping Smaller Stores Chase Amazon). A key quote from it is this (highlighting by me):
… (Amazon) is relying on more than 100,000 temp workers this holiday season to supplement its already massive warehouse workforce, the advantages of offloading more of that work onto machines are easy to see. Robots don’t slow. They don’t tire. They don’t get injured or distracted or sick. They don’t require paychecks or try to unionize.
Now check out this robot:
Once you get over the word “robot”, you can see it resembles alot of the other machines you see in workplaces. Machines like high speed printers, scanners and even vending machines. All of those things don’t slow, don’t tire and don’t unionize. They don’t get sick, but they break down alot, which is just the same. They don’t require a paycheck, but they do cost the organizations that use them. Sometimes they perform their function so poorly that people bypass them altogether. As well, robots need others to take care of them. An army of robots just doesn’t show up: there is an entire process of testing, deploying, fixing and replacing them that is costly and non-trivial. There is a process for deploying human resources, too, but to say that that is costly and the process of deploying robot resources is not costly is wrong.
Robots will take over some functionality in workplaces, be that function blue collar or white collar. But that is no different from alot of other machinery already in place. The difference with robots will be that they are mobile. That’s it. We should get over the notion of robot as some magical creature and just accept them as another machine.