Amazon in advanced talks to buy Zoox
wsj.com
wsj.com
But the timing is interesting too IMHO. Amazon played the long game a little bit here and waited until self-driving technology was in the "trough of disillusionment" [1] to pounce on a promising startup. It saved itself billions of dollars in the process, let some of the pretenders fade away, and gave itself better odds of success.
Self-driving tech is still a slog though, and success is not guaranteed by any stretch. But I give them kudos for this.
[1] https://www.gartner.com/en/research/methodologies/gartner-hy...
https://www.detroitnews.com/story/business/autos/mobility/20...
There are real technical challenges to making this work, not that it doesn't magically solve all things - it can't solve anything yet. The long tail still appears quite long.
I could see a big company or conglomerate of companies being willing to take over part or all of certain parts of road development and maintenance as long as they can have one or more dedicated autonomous lanes.
I imagine that there will be a lot of room for creative solutions over the next 10 years.
You just described my best guess of the future (at least of the US).
In fact, you might be able to say that we are already moving that direction given how much influence large corporations and industries have over our government.
Note that I am not happy about my prediction, but my eyes are open to what is happening around me.
Which part is doubtful?
I didn’t suggest that taxes would go away.
I suggested that tax receipts (the amount received by government) will decrease due to reduced economic activity during the pandemic. This is a fact (it has already happened).
This would give the tech companies an opportunity to solve some governmental budget shortfalls by relieving some of the burden in exchange for some access rights.
Using EfficientNet instead of ResNet, depth detection algorithms, better object classifiers are available than just a few years ago.
I believe that there's less than 5 years between the first company achieving self driving and many other companies.
Compared to 2012, it now takes 44 times less compute to train a neural network to the level of AlexNet.
How that affect self-driven car is still to be determine, but progress is very real
However this gain also directly translates to a real-world result improvement: You can now train a lot more at the same cost.
I mean, he founded Blue Origin in 2000 and it finally emerged from its self-imposed silence in 2015.
Amazon's market cap is currently $1.2 trillion. If they spent $2.5B to acquire zoox, that is only 0.2% of market cap. Not a bad risk/reward ratio.
Hard to tell since you haven’t defined any particular reward. Keep in mind the risk/reward ratio for a particular investment would be the same regardless of the percentage it made up of the larger portfolio.
As a side note, risk/reward ratio is the same, but when making bets with positive expected return, you must consider bankroll size and risk of ruin. The VCs are realizing they can’t play a $300M/year game where the probability of winning is 20%, even though the expected return is 100x.
The behemoth company with custom mapping of every road in your country and manual remapping of construction sites will provide a far better experience than the scrappy AI start-up. (And they can probably leverage that to gain better insurance rates, or to get driving licences in places where second movers can't.)
* Assuming any player finds a viable business model, and that our current understanding of ML, Computer Vision, and control systems is sufficient to produce a commercially viable product.
That's enough to justify the purchase.
Zoox run their tests in San Francisco, a city known for chaotic traffic conditions. They do so rather successfully (see their YouTube videos). This accomplishment alone means they are not really "far behind".
Well I wouldn't expect them to post Car Crash Compilations of their own making.
San Francisco is one of the oldest cities in California, as such, the city layout is largely from the pre-automobile days.
A look at google maps shows the city is splits in large perfect squares of roads themselves split in smaller squares. It's typical US modern layout, the antithesis of European layout.
https://geoffboeing.com/2018/07/comparing-city-street-orient...
So they're not starting from zero + a speculative acquihire if that makes sense, at least in my opinion
https://techcrunch.com/2020/04/07/nuro-gets-ok-to-test-its-d...
Zoox is in prime position to be a better nuro
Why do you say that?
https://www.smh.com.au/business/companies/why-self-driving-c...
If you want certainty and no chance of winning big, join a Fortune 500 company. If you want uncertainty and a small chance of winning big, join a startup.
For the engineers, they wouldn't likely win big on a sale below a certain value, but that doesn't make it a total loss. They'll have a job at a FAANG with likely a higher total comp than before. Replace stock option lottery tickets with regular RSU dumps at a decent paycheck.
https://techcrunch.com/2020/04/07/nuro-gets-ok-to-test-its-d...
I live in a pretty quite neighborhood in a suburb of Chicago and I see Amazon Prime vans drive by all the time. The driver parks, hops out, runs around to grab the package, drops it off, drives on, and repeat.
This is a great scenario where you don't need total autonomy all the time: the delivery person could drive the highways and complicated parts, and then when there's a cluster of deliveries where the speed limit is 25mph and the roads are clear and regular, the van could go from house to house, with the delivery person hanging out in back or something.
It's not full self-driving, but it seems like it could make deliveries a little more efficient.
Neighborhoods are the complicated parts: they're filled with pedestrians, cyclists, kids, animals, and uncontrolled intersections.
AFAICT, a self driving car has to pretty much assume that every pedestrian might suddenly dart into traffic, it can't really tell the difference between a normal pedestrian and a drunk heads down in their phone.
But keeping speeds below 20mph opens up a lot of opportunities simply because stops are basically instantaneous at that speed and because car-pedestrian collisions under 20mph are almost never fatal.
But, importantly, that's for human drivers, who are probably braking when, or at least after, the collision occurs. An AV that completely fails a detection wouldn't necessarily even try to stop.
[1] https://aaafoundation.org/impact-speed-pedestrians-risk-seve...
https://www.gov.uk/government/news/cma-provisionally-clears-...
Just how many acquisitions and fundings have they provided this year?
(1) Inbound bandwidth will be free.
Is Amazon, a company worth 1.4T dollars, trying to "pivot" into a car manufacturer? Seems unlikely, no?
Amazon has a massive logistics and delivery operation. I imagine any automation there will yield great returns.
[0] https://www.vox.com/recode/2019/12/19/21029932/amazon-logist...
Bias note: I work for Amazon, but not in that department.
Microsoft has done it for the browser market. Amazon has done it (more than once i might add) with online selling platform, into SaaS platform, which they now leverage into other businesses.
Monopoly laws that were used to prevent this (ostensibly unfair practise) has lost their teeth.
I want that.
Scalability is a resource problem when you don't require as much human management and overhead. Its simply a resource allocation problem.
1 - https://pitchbook.com/news/articles/ma-flashback-amazon-anno...
Ford another major Rivian investor has partnered with and invested in autonomy startup Argo AI
Rivian has said that their vehicles will have level 3 autonomy but if you look at the sensors the vehicles will include they would probably could be level 5 capable with the right software. Perhaps both Amazon and Ford are planning on bringing their own software to run on Rivian's hardware to turn the stock Rivian into a level 5 vehicle? It seems like it could be a smart play since the autonomy software will probably be the highest margin part of the vehicle.
Then there's AWS, which is also used for machine learning and other purposes. I imagine this company has a lot of the right kinds of skills they'd want to tap to offer off the shelf solutions in that space. Even if they'd ditch the product that could be valid.
But of course these solutions include bespoke self driving solutions for those car manufacturers needing to catch up in a hurry. They are going to spend billions doing so and that are going to be in need of exactly the kind of services and scale that AWS provides. IMHO most of them are going to not succeed with in house solutions and are going to be looking for something off the shelf. At least, I don't see the likes of Kia, BMW, Chrysler, etc. turning into the type of software companies that can actually do this half decently any time soon. So, that means AWS offering all or most of this as a service sounds like a good idea.
Of course the theory and practice of acquihires are two things. Most of them flat out fail and are nothing more than a big corporation scratching the backs of investors (e.g. on their board) by bailing out their failed investments. A lot of exits in the startup space fall in this category. Investors hate having their investments go bankrupt. An acquihire you can still spin as a success. A bankruptcy is much harder.
Because warehouses and the freight terminal (truck terminal in the consumer goods case) that necessarily surrounds them have a need for things that can roll around autonomously while not colliding with things.
There are existing solutions for this but they're far behind the state of the art for self driving vehicles that aim to eventually be used on public roads and they have several weak points that make them less competitive in very dynamic warehouses (variable contents and throughput, as opposed to a warehouse that feeds a manufacturing operation which will have more fixed contents and less variable output) that mostly handle lightweight goods (which is part of why amazon uses so much human labor in its warehouses). I wouldn't be surprised if Amazon was trying to scoop up Zoox on the cheap for their own internal use. They already bought a warehouse automation company. The probably have a list of things they want to automate and figure that buying a company that already has competence in the space (even if they're not a front runner) is the best way to meet their needs.
Of course the delivery network serving the area surrounding the warehouse facility can also make use of self driving tech but self driving on public roads is a much harder and farther off problem and I don't think solving it is their primary goal for this purchase.
The companies are discussing a deal that would value Zoox at less than the $3.2 billion it achieved in a funding round in 2018, according to people familiar with the matter.
As my uncle used to say, you can marry more money in a moment than you can make in a lifetime.
With Amazon ElastiChute, you can seamlessly transfer hundreds of physical packages from delivery van to a client's front door. ElastiChute elastically expands to envelop a package and jettison it at just the right speed at a customer's door.
Only pay for the hydraulic fluid you use.
With Rivian already get investment from Amzn, the picture of autonomous & electric delivery vehicle can be quite appealing.
I guess the price would reflect how eager is Amzn to implement that strategy, and how realistic they think about the roadmap.
The former has a restricted use case. Specifically, driving around specific suburban cities where if conditions are bad or issues are found they can easily just fall back to human drivers.
The latter is trying to do self-driving under all conditions, all scenarios and where it's much harder for Rivian/Tesla to determine if it's safe or not to use self driving.
If bought at 1B, which is roughly the amount of VC money they took, the employee pool will be roughly worthless.
Companies don't make billion dollar purchases with no due diligence with just one person involved in making the decision. And they don't buy companies just to immediately write them down.
Amazon is one of the most successful companies in the world. They didn't get there by acting like children.
But no company makes billion dollar acquisitions without involving the entire C-suite in particular CFO/Legal and the Board. And they sure as hell don't do it without proper due diligence.
Sure.
Is there a chance that Amazon did not analyze it to death before making the decision?
Nope.
Heck, Microsoft bought Nokia, and then completely dismembered it.
It's entirely possible for someone in the higher floors in Amazon to convince themselves this is a good fit.
Maybe it's a good decision, maybe not. But it's never right to say it's a good decision because a successful company took it.
Yahoo would like a word.