I reported last week about Zoox shopping for a buyer. Now reports have surfaced that Amazon is in negotiations. It's a strange matchup but would still have big consequences. A big push into self-driving by Amazon could upend logistics and retail, but Zoox's efforts at a vehicle custom designed for taxi service might be wasted.

Read about it on Forbes.com at Match and Mismatch of Amazon buying Zoox

In a year when several other companies have slowed development and plans for full robocars, MobilEye's CEO this week indicated they were on track to deploy Robotaxi service in Israel in early 2022, and will follow on with France, Korea and China.

Analysis is at MobilEye reaffirms prediction of robotaxi service by 2022

I didn't pick the topic, in spite of having written a bunch on in yesterday, but tomorrow we will do another debate in our "Zoom Tank" on the topic of the good and bad news for roadway public transit.

The main debaters are Jarrett Walker from Human Transit, and Randal O'Toole, the "antiplanner" from Cato Institute who is always full of amazing data.

After the short debate, the four sharks, including yours truly, tear into the debaters and their arguments, and then the audience has a go.

Earlier I wrote about how EasyMile had to stop operations after a sudden stop in one of their vehicles gave minor injuries to a passenger.

Today they announced their plan to resume operations. It includes seatbelts and education. It's a start, but I wonder if the whole idea of "stops" is the problem. Stops are inherent in the 20th century thinking that surrounds public transit. Big vehicles need to make lots of stops picking up and dropping off passengers. But that's a problem if you expect the vehicle not to start until everybody has their seatbelt on!

Everybody shut down testing during the Covid crisis. It's not over but now Waymo and others are getting back on the road, testing vehicles with nobody inside, with one safety driver, and sometimes with two. Yes, delivery and rides are essential services, but what are the issues around this?

Read some thoughts at Forbes's site in Waymo and others resume testing

I've known Zoox since before it began and their vision has always been bold. In a possible hiccup, the downturn has led them to shop around for a potential buyer if they can't get more investment.

I analyse what this means in my story Zoox searches for a buyer on the Forbes site.

Zoox is the $1B funded startup trying to build a radical design self-driving car. Last week they released a video of an hour long drive through Las Vegas, going through pick-up zones in hotels and the airport. The car does a number of impressive things, but at the same time, showing these things and an hour of driving are only the tip of the iceberg of what you need to do, making the video unimpressive at the same time.

In this new article, I go into what goes on in the video, and what it means.

Last year Tesla released "smart summon" which let you (very slowly) call your car to you from across a parking lot. It was cute but a bit of a dud, as it's not just very useful. Now Elon Musk promises "reverse summon" that will valet park your car for you. But if you have to watch it, it's not going to be very useful either.

Eventually, though, we'll get a robotic valet park that works without supervision. That will be very useful, allowing cheaper parking and better charging. Even today, the basic summon could allow slightly denser parking for cars that have it.

Tesla doesn't want to use LIDAR. So they are hoping for success in a technique known as pseudo-LIDAR, where you train neural networks to look at images and calculate the distance to everything in the scene, as though you had a LIDAR. It's not here yet, but an interesting question is, should this succeed, is it better for Tesla or for their LIDAR using competitors who already have tons of experience using 3D point clouds?

Uber, Lyft, Scooters and Transit have all cratered in ridership. Will people be more likely to ride in self-driving taxis if they had them during a pandemic crisis? I discuss some of the Covid-19 issues around robotaxis in this new article.

It's found at Can robotaxis survive a pandemic?

Recently, Stefan Seltz-Axmacher, the founder of Starsky Robotics -- a startup doing self-driving and remove-driven transport trucks that I advised before they started going -- wrote a detailed and complex blog post about why he feels his company had to shut down. He goes into several issues, including failures of Deep Learning to meet hype, VC desires, strangeness of the trucking industry and lack of love for safety.

In my new article for the Forbes site, I dig into those reasons and whether he's right that nobody else will succeed soon, either.

I've been involved with delivery robots for a long time, and on my walk through empty streets yesterday, I noticed a certain irony. We have a desperate need for more delivery capacity, especially without humans handling packages, and teams have been working hard to make deliverbots safe enough to drive on our streets.

An EasyMile made a sudden stop from 7mph and a seated passenger fell off her seat to minor injuries. Now NHTSA has ordered EasyMile to stop testing with passengers.

Transit shuttles don't usually have seatbelts, but maybe EasyMile needs them during the testing phase. But can it ever take them out?

The California robocar disengagement reports are out. And everybody is now pointing out that they're not very useful because everybody uses different methods. So I have an article about what we do learn from the data, little as it is.

Read California Disengagement Reports aren't too engaging at Forbes.com

Yesterday's NTSB hearings contained much stronger criticism of Tesla Autopilot than ever before. In particular the NTSB made recommendations:

Many of the media were keen to pick up on a report from McAfee researchers about how they were able to simply modify a speed limit sign to cause the MobilEye in old Teslas to misread it and speed up. We get spooked when AI software acts like an idiot. But in reality, this isn't the sort of attack that is likely to be done in the wild, and it's also unlikely to cause any danger.