Wednesday, January 6, 2021
Installing Tesla Powerwalls
Friday, January 1, 2021
From Diesels To D-Cells :: The Electric Transportation Epoch Has Begun
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| Transportation is moving from Diesel trucks to D-cell trucks |
Transportation is entering a new epoch #TheElectricEpoch
As we ring in the new year we're entering a new era of transportation and Diesel is the old acquaintance that should be forgotten and never brought to mind.
I must start this post with an apology for the title. I liked the "Diesels" to "D-cells" alliteration and ran with it. Obviously, D-cells are not going to be the battery cell of choice for the EV revolution, but they are familiar. The cells to 'drive' EVs are more likely to be pouch, prismatic, or cylindrical cells (like the 2170 or 4680). However, the D-cell is cylindrical so I guess you could call it the 3362 ☺
The Epochs of Transportation
First, we walked, then we rode horses and carriages; next came the horseless carriage and those horseless carriages have been primarily powered by petroleum products for over 100 years. The decline of the petrol and diesel era has begun and now we're at the dawn of the electrically powered era. This new era will start with personal transportation, move to cargo short-haul, then longer and longer range cargo-hauling semi-trucks, the seas will be next, and finally air. Electric air travel will start with puddle jumper prop planes, expand to turboprops, and finally, a couple decades from now, electrified turbofans making trans-Pacific flights completes the transportation transition.
Are Electric Motors Up To The Task?
Diesel has been the fuel type and engine of choice for hauling and towing. Electric motors are more than up to the task of replacing the hauling and towing work of Diesel engines. In fact, some of the toughest hauling situations, like trains, use Diesel-electric drivetrains. Wait, that says "Diesel." In a Diesel-electric powertrain, the Diesel engine is used to power a dynamo (e.g., electrical generator). The dynamo generates electricity, this electricity is fed to an electric motor, the electric motor provides the traction force to move the train, pulling all the cargo laden boxcars up the mountain pass. This same basic drivetrain design is used for many freight ships often carrying thousands of cargo containers. These Diesel-electric traction systems behave more like a Chevy Volt in range-extended mode than like a Super Duty Diesel pickup.
So the answer to the question, are electric motors up to the task is a solid 'Yes.' However, powering them with a Diesel generator does not move us to batteries (D-cells). This leads to the next question, are batteries up to the task?
Are Batteries Up To The Task?
The question was 'battery' but the topic should be broadened to "energy storage systems" to include ultracapacitors and hydrogen fuel cells. As we move to electrify land, sea, and air travel over the next couple of
decades, each of these energy storage systems is likely to find at least a niche market. Although fuel cells will find niches, batteries will be the vanguard of the electric epoch, so let's start there.
I've said it before and it's just as true now, batteries are the crux. The primary reasons that battery electric vehicles are not the dominant vehicle on the roadways today is battery energy density and cost. The good news is that both of these have been trending in the right direction.
The Genie Cannot Be Put Back In The Bottle
Bloomberg says your next car will be an electric truck. Market Watch says EV sales will grow 50% this year. These are just a couple examples of the expected growth for EVs in this decade. Once people own an EV, over 90% of them never want to own another petroleum-powered car again. This market growth will additionally be fueled by state and national restrictions on new gas-powered vehicle sales:
- China will aim for carbon neutrality by 2060 (link)
- Sales of new gas-powered cars banned in California by 2035 (link)
- Biden wants to end gas car sales (link)
What About Boats and Aircraft?
Electric tugboats have hit the waters in the Port of Tuzla in Istanbul and the ports of Auckland in New Zealand. The torque of the electric motor is perfect for this little boat that's a big powerhouse. Today's batteries are perfect for the short-ranges in which tugs operate. Using electric tugboats remove the particulate matter from the population areas near the ports. And once the boats they are towing are docked, they'll be plugged into shore power, using local grid power.
As battery technology advances, the number and types of watercraft that are battery-powered will increase too. Just as electric cars started with niche vehicles like the original Tesla Roadster or short-range vehicles like the 2011 Nissan Leaf, electric watercraft will start with niche vehicles like tugboats and short-range personal vehicles like jet skis. And just like cars, the number and types of watercraft that can be electrified will start with a niche and slowly blossom into larger markets each year. Because of its higher energy demand, watercraft electrification will trail auto electric by 10 to 15 years.
As for aircraft, these are a little more difficult than watercraft, but we're already seeing the first steps. The high reliability of electric motors makes them ideal for the safety requirements of a flight system. Today, there are training airplanes that are electrically powered. The small 2-seat planes and generally used for short student flights. This allows today's battery technology to fulfill this need. Flight schools using electric training planes have significant savings in fuel and maintenance costs.
Just as with the other vehicles, as the battery tech improves, it will move up the aircraft food chain. When batteries cross the 400 Wh/kg mark, we should see aircraft with a range of over 1000 km. Each improvement in battery gravimetric energy density opens up new application opportunities. For those use cases that can't wait for batteries to improve, there are opportunities for ultracapacitors or hydrogen fuel cells to find their own niche.
Today, private jets generally get less than the equivalent of 5 MPG, and a 747 flips this around and uses about 5 gallons per mile. Moving these to electrically powered systems 'fueled' by renewable energy sources will remove significant amounts of CO2 from our transportation system.
The title is 'Diesels To D-Cells' and you might be surprised to learn that there have been aircraft diesel engines or aero diesels. They were used in aircraft in the late 1920s and 1930s, but never widely adopted. So for the sake of this title, I'll be generous and call that a transition from Diesels To D-Cells, albeit indirectly.
Conclusion
The end of Diesel is coming. Anything Diesel engines can do, electric motors can do better. The current limitations of battery tech is the only reason that there is still a market for Diesel products. Advancements in battery tech are being made each year and there is no sign that this trend will slow-down. With each advancement, battery power vehicles become more and more capable. Personal transportation, freight hauling, watercraft, and flight will all become fully electrified over the next few decades.
Tuesday, December 1, 2020
Modern EV Era Celebrates 10 Years
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| Thomas Edison shows off a 1914 Detroit Electric |
Early 1900s
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| 1974 Electric Prototype |
1970s
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| GM EV1 |
1990s
You can see the entire intriguing story of this era in the documentary Who Killed The Electric Car?
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| 2011 Nissan Leaf SL |
2010s
- Lithium-ion Batteries
- Major Automaker Support
- Tesla
| 2011 Nissan LEAF Battery Pack |
Lithium-ion Batteries
Major Automaker Support
- Audi - 20 EV models by 2025
- BMW - 25 electrified* models by 2025
- Daimler / Mercedes - Plug-in option of every offering by 2022
- GM - 20 EVs by 2023
- Fiat-Chrysler - 30 electrified* models by 2022
- Ford - 40 EV models by 2022
- Hyundai - 44 EV models by 2025
- Renault-Nissan-Mitsubishi - 12 EV models by 2022 with annual volumes of over 1 million units per year
- Toyota - 50% of sales in 2028 will be electric
- VW - 70 EV models by 2028
- Volvo - Polestar brand will be 100% electric
Tesla
The Tesla Wake-up Call
Viva La REVolución
(What Makes This Time Different?)What a Difference 10 Years Can Make
Tuesday, November 24, 2020
Tesla Investing: Bean Counters vs Visionaries
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| "Bean Counter vs Visionarie" commissioned image by @lastly_the_squirrel_thing |
Why Auto Analysts Got It Wrong
Tesla Is Not A Car Company
- A battery pack manufacturing company - Powerwalls, Powerpacks, Megapacks, car battery packs... Tesla purchased ATW Automation in 2020. The company made battery modules and packs for the auto industry.
- A battery pack management provider - All of the above battery packs need control systems for charging and discharging, heating and cooling
- A battery cell manufacturing company - Tesla purchased Hibar Systems in 2019 for their battery cell automation solutions. Tesla's current "pilot line" for new cell types qualifies as one of the top 10 cell plants in the world for kWh output. Tesla partners with Panasonic, CATL, LG, and others, but they also have their own cell production efforts.
- A battery research and design company - Tesla purchased Maxwell Technologies for their dry electrode innovations in 2019. The battery cell is a fundamental building block for many of Tesla's products. Advancements here leads to better products, more revenue, less capex, and more margin.
- A manufacturing automation design company - Tesla purchased automation expert Grohmann Engineering in 2016, Compass Automation in 2017, and Perbix, a maker of highly automated manufacturing equipment, in 2017. They don't want to just make things the same way Toyota, GM, and the others do it. They want to rethink manufacturing. This means they cannot just buy the stamps and presses that are available. They have to invent the machines to make their products.
- An AI hardware company - Tesla developed its own AI inference engine to comprehend the world around the car from the streams of data coming from the cameras and sensors.
- An AI software company - Tesla hired Andrej Karpathy away from OpenAI in 2017 and purchased DeepScale Inc. in 2019. DeepScale was known for their innovative energy-efficient deep neural network AI computer vision system.
- An energy arbitrage company - Tesla's AutoBidder software allows Tesla to buy and sell energy based on grid supply and demand. This is currently used for their industrial-sized battery systems, but someday we might see residential Powerwall ganged together to form a virtual power plant that can earn credits for their owners.
- A solar retailer and installer - Tesla purchased SolarCity in 2016
- A solar cell reacher company - SolarCity bought Silevo Inc. in 2014.
- An insurance company
- A vehicle recharging company that sells home charging equipment
- A vehicle "refueling" company that deploys and operates a network of fast-charging stations and destination charging
- A guerrilla marketing company - whether it is launching a car into space, selling short-shorts, smashing windows, or selling Tesla Tequilla, Musk and co. know how to generate buzz in our modern social-media-driven news cycle
- A glass developer - Tesla has develops specialized glass for their vehicles and solar roof products. As I write this they have a job opening on their website for a Glass Studio Specialist to "work closely with design team on the manufacturing of prototype glass and product development associated with advanced glass compositions and inner layers."
- A worldwide car "dealership and Service Network" - Unlike most auto manufacturers, Tesla does not have a network of independent dealerships to sell and support their vehicles. This means that Tesla has to provide this service themselves in every region where the vehicles are sold.
Tesla The Outlier
Moving The Goalposts
Tesla's Success Is Self-Evident (now)
Conclusion
Tesla has shown that there is a demand for EVs and specifically for their EVs. They've shown that they can sustain GAAP profitably and they are being inducted into the S&P 500. These achievements should allow many of the bean counters to now see the value of Tesla. There is a megatrend toward transportation electrification and Tesla is the leader in the space. Add Tesla's ambitions for energy, semi-trucks, autonomous vehicles, robotaxis, and more and you can see why the stock trades at a premium.
Sunday, September 20, 2020
4 Years of Tesla Model X Ownership
Four years ago, I bought a Tesla Model X. I've written an annual "Owner's Report" each year; you can see previous years' reports here: 1, 2, 3. In these reports, I talk about our adventures in the X, like the time we took it to a drive-through safari, towing our camper, or the hack we used to haul home a tree on the glass roof. Here's the year 4 report:
2020 has been anything other than a typical year. The pandemic has meant that I'm now working from home. I'm lucky that I have a job that allows me to work from home. This means that the Model X is not getting as many miles as it used to, but we did have a few trips worth mentioning.
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| Vista Ridge at Mt Hood Meadows |
Mt Hood
During the 2019/2020 season, we took the X to Mt Hood for several skiing day trips. A quick stop at the Sandy, Oregon Supercharger gave us plenty of juice to crank the heater and defroster as we climbed the mountain and zipped through Silent Rock with the surefooted all-wheel-drive of our 90D. On one of our trips, when we should have stayed at the Supercharger a few more minutes, we stopped at Ski Bowl on our way home and charged up at the West Coast Electric Highway station there while we had dinner after a long day on the slopes.
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| The Astoria Column |
Festival of The Dark Arts
Our last pre-COVID trip was to Astoria, Oregon for the Festival of The Dark Arts. This "Carnival of Stouts with over 70 rare and unique offerings from 50+ breweries" is at Fort George. We stayed the night in Astoria and toured around the city the next day. It was a fun time and sadly, given the pandemic, I doubt the event will be held in 2021. We charged at Seaside on the way there and drove straight home on the way back. Unfortunately, we could not charge overnight at our hotel (not even on a lowly 120V outlet). But the onboard nav said that we'd make it home with a 9% charge. We arrived home with 7%. We arrived home a little lower than the nav estimated likely because we had our snow tires on, but we made it with plenty of buffer to avoid any range-anxiety. As a backup plan, we could have stopped at any of the various CHAdeMO stations in Banks or Hillsboro if we needed a few extra Watt-hours.
Comet Neowise
One dark night, we drove out to a friend's farm, far from the light pollution of the city to get a good view of Comet Neowise. In addition to a great view of the comet, we came home with some farm fresh eggs. This was an easy there and back drive with no need to charge in-route.
Rockaway Beach
Soon after the Astoria trip, we went into lock-down mode; no more commuting, trips to the gym, tipping a pint with the lads, or dining out... The only miles added were for the occasional take-out food or a grocery run. Our only lockdown exception was a socially-distanced end-of-summer trip to the beach. We chose Rockaway Beach as our destination. There are no Superchargers along this route, but there are a few destination chargers in Tillamook, so we timed our trip for a lunch stop at the Blue Heron Cheese Company.
As we pulled into the Blue Heron parking lot, we saw that the destination charger was occupied by a Model 3. Luckily there was a J1772 available next to it. We grabbed a quick lunch and sat at their outdoor seating area as we ate and charged up. Soon the 3 left and we were able to move over to the faster destination charging station. We took a stroll around their facility seeing a white peacock, chickens, rooster, goats, llama, and more; then we were back on the road.
At Rockaway, we hiked the Cedar Wetlands Preserve on a nice boardwalk over the wetlands to a giant cedar. If you ever plan on going there, here's a quick tip: the trailhead is right off of Hwy. 101 at the "Welcome to Rockaway" sign at the south end of the city. This is not where the onboard nav (or Google maps) sent us. After our short hike, we headed to the beach and spent the rest of the afternoon playing in the sand and surf. We had dinner at a little diner near the shore and headed home; arriving home with 28% charge remaining.
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| Boardwalk to the Giant Cedar Tree |
Wild Fires
Soon after our beach trip, the entire West Coast seemed to go up in flames. There were at least a dozen fires in various parts of Oregon. Some areas were evacuated, some Oregon towns like Talent and Detroit were severely damaged. The skies over the western part of the state darkened with smoke. The smoke was so bad that flights in and out of the region were canceled. The masks that we'd been wearing for COVID, now served double duty if you had to be outside.
Why do I mention this? Because the bio-hazard defense mode air filter in the Model X came in handy when we had to go out during the ~10 days when the levels of PM2.5 and PM10 were unhealthy.
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| Smoky Skies in Oregon |
Year 4 Stats
Miles added: 5,602 (9016 km) - my lowest year yet
Total Milage: 38,309 (61,652 km)
This Year's Battery Degradation: 2.6%
Battery Capacity Remaining: 91% (233 miles)
Software Upgrades: 13
Current SW version: v10.2 2020.32.2
Degradation
As I write this, it's a few days before Tesla's Battery Day 2020. I expect that they will announce the "Million-Mile Battery" and much more. The million-mile battery will be a milestone for EV longevity. It will mean that the batteries will far outlast all but the toughest road warriors and even for them, battery replacements will be infrequent, if ever. It will also mean that batteries could have a significant second-life in storage applications or that salvaged batteries could be used in conversion projects and still have significant range and lifespan.
I, unfortunately, do not have a million-mile battery. I have a 90 kWh pack from 2016. The 90 kWh packs have proven to be Tesla's fastest degrading pack; with some older 85 kWh packs having longer range today than many of the 90s. To be clear though, even Tesla's "worst pack" is far better than the degradation that my 2011 Nissan Leaf suffered.
Here's the chart of my 90D's pack degradation:
As you can see, I have lost about 9% range. Looking at charts where other drivers have aggregated their data, it looks like degradation flattens out significantly after ~10% degradation. That is the way the green line is bending in our chart above and I certainly hope that proves to be the case here. With less than 40 thousand miles over 4 years and most of my charging done at home, the batteries are not in an especially taxing situation, yet there's more degradation than I'd like to see. If it flattens out, we'll be fine. If we keep losing 2% per year, road trips will start to become difficult by year 6.
Future of the Model X
Some members of the Tesla community think that Model X is not long for this world. The design is ~5 years old and due for an update or to be discontinued. Musk has described it as the "Faberge egg of vehicles" and the many problems they had getting the falcon-wing doors right for production are well documented.
I'm not in the camp that thinks the X will be discontinued. This is their aspirational or halo vehicle in many ways. This is the vehicle that appears in music videos with the falcon-wing doors swung high. This is the car with the Trans-Siberian Orchestra Wizards in Winter song and dance easter egg.
Sure the Model Y fills in much of the SUV/CUV market that only the X previously served in Tesla's line-up. As great (and more affordable) as the Y is though, it's not the same type of aspirational vehicle as Model X. (Let me know when you see a Model Y in a rap video) and you can't spell S3XY without an X.
Each Tesla vehicle (announced and in-production) fills a niche. The Roadster is the fast one. The Cybertruck is the badass one. The S is the luxury sedan that's faster than a Porsche 911. The 3 and the Y are the relatively more affordable ones. And all of them are sexy.
Given all this, I hope to see a redesigned Model X with more range, a vertical screen, more towing capacity, faster charging, and other upgrades unveiled as the 'one more thing' at battery day or another Tesla event soon.
I plan on buying another X in ~2025, so they better still be making them ☺☺☺
Parting Thoughts
This has been a strange year in many ways. I'll continue to work from home until at least June of 2021, so I expect year 5 to be a similar low mileage year. When COVID struck, we heard a lot about flattening the curve. For year 5, I'm hoping that my battery pack's degradation curve flattens out too.
I still love the X and have no regrets. If I had it to do over again, knowing what I know now, maybe I'd have waited a few months and got a 100D with AP2, but if I waited for the 'perfect' Tesla, I might still be waiting for some feature or upgrade that has the Tesla followers abuzz and I'd have missed out on 4 years of incredible fun. And when I do finally upgrade, I'll be getting all this and more. If you see a Tesla that meets your needs and your budget, don't hesitate, grab the opportunity. Will there be other innovations from Tesla? Absolutely. You (and I) can get those in our next Tesla.
Disclosure: I am long Tesla stock.
Friday, July 31, 2020
Tesla and The March of Nines to Full Self Driving

Tesla is working on full self-driving (FSD) cars. Some have said this is impossible. When it is done, this will be added to the growing list of things that Tesla has achieved that were once branded impossible. These once impossible achievements were not always delivered on the promised timeline, but they, nonetheless, arrived. Trent Eady, (the same person tweeting to Elon Musk in the image above) said it well when they wrote, “If Musk promises you the moon in six months and delivers it in three years, keep things in perspective: you’ve got the moon.” How long will the FSD moon take to be delivered? That's what we'll explore below.
In early July of 2020, at the World Artificial Intelligence Conference Musk said, “I’m extremely confident that Level 5 autonomy, or essentially complete autonomy, will happen, and I think it will happen very quickly. I remain confident that we will have the basic functionality for Level 5 autonomy complete this year.”
There’s a massive amount of work with each order of magnitude of reliability. This is the long 'March of the Nines'.
What Are Nines
Musk mentioned the "nines of reliability." What are the nines? There are plenty of systems where 99% reliability is sufficient. If a video game crashes occasionally, it might be annoying, but no real damage was done. Whereas, something like a flight control system needs to be 99.999% reliable or better. However, it can be tedious to say, “ninety-nine point nine nine nine," so the verbal shorthand is to ignore the decimal point and just say the number of nines, e.g., 99.999% is called five-nines. It would be nice if we had 100% reliable systems, but that is an impossibility. Failures occur, components age, cosmic rays flip bits... so you have a backup, but the backup could fail too, so you have a backup for the backup, but that could fail too... Each layer of backup improves the overall system reliability, but, short of an infinite number of backups, it's not impossible that all of the backups fail at once either coincidentally or due to a common cause.Why Nines Matter
Here's a simple example of why 99% is not good enough. There are about 150 billion credit card transactions each year totaling about $10 trillion. If these transactions were correct 99% of the time, that would be 1.5 billion transactions (~$100 billion) with errors each year. A system at this scale needs to be better than 99% reliable. Five-nines (99.999%) of reliability would reduce the annual error rate to “only” 15 million errors per year. Seven-nines would reduce it to 150,000 errors (still $10 million in annual errors). This is a system where it literally pays to improve reliability.What is the March and Why is it So Long?
There are a few ways to look at this and it is different for any effort. Generally speaking, the more complex the system, the more difficult it is to improve its reliability. In a complex system, it can be hard to see the 2nd and 3rd order effects of potential changes.There are several ways to view this concept; let's look at the 80/20 Rule.
The 80/20 Rule or Pareto Principle has many applications. For our purposes, we'll consider software development and we'll call feature-complete the 80% mark of the effort for a highly reliable application. Let's say that 80% effort took 8 months. That's an average of 10% each month, so the project should be 100% complete in just 2 more months, right? Unfortunately, the last 20% does not scale linearly like the first 80%. This last 20% is where all the hard problems live. These are the bugs that only show up intermittently, in full integration testing, the race-conditions, the new bug fix that would require nearly a complete rewrite, or the scalability problems that only show up at your biggest customer's site...
| Cycle | Reliability % | Nines |
|---|---|---|
| 1 | 80 | ~1 |
| 2 | 96 | 1 |
| 3 | 99 | 2 |
| 4 | 99.8 | ~3 |
| 5 | 99.97 | 3 |
| 6 | 99.99 | 4 |
| 7 | 99.999 | 5 |
| 8 | 99.9997 | 5 |
| 9 | 99.99995 | 6 |
| 10 | 99.99999 | 7 |
| 11 | 99.999998 | ~8 |
| 12 | 99.9999996 | 8 |
| 13 | 99.9999999 | 9 |
| 14 | 99.99999998 | ~10 |
According to our 80/20-rule table, it will take 7 development cycles to hit five-nines. In this example, each cycle was 8 months, so that's 56 months or 4 years, 8 months.
Imagine the conversation where you were 8 months into a project and you were 80% done and then you told your boss or customer that the last 20% will take 4 more years. They might think you're sandbagging them. It's hard to believe that it could take as long to go from 99.99% to 99.999% as it did to go from zero to 80% but this is why this is often referred to as “the long tail."
The 80/20 rule is straightforward, but as I mentioned at the start, no two projects are the same, progress is made in fits and starts and the 80/20 rule is just a rule of thumb and only one possible model.
If the problem that you're tackling has a long tail, then early progress must not be linearly extrapolated to determine a likely completion date.
Another, more academic, method to view the long tail is the Empirical Rule. The empirical rule is also known as the "68–95–99.7 rule." You can find tons of equations in project planning books on this, but we'll keep it simple here. With this method, each iteration is accounting for another standard deviation of input, defects, system behavior... on a normal continuous probability distribution curve.
| Cycle | Reliability % | Nines |
|---|---|---|
| 1 | 68 | 0 |
| 2 | 95 | 1 |
| 3 | 99.7 | 2 |
| 4 | 99.99 | 4 |
| 5 | 99.9999 | 6 |
| 6 | 99.9999998 | ~9 |
If our hypothetical application follows the empirical rule, we'd achieve five-nines in just 5 cycles or 3 years, 4 months. Remember when it seemed like we could be done in just 10 months? If the problem that you're tackling has a long tail, then early progress, although great, should not be linearly extrapolated to determine a likely completion date.
How Good Are Human Drivers?
The goal is for an AI driving systems to be better than human drivers. In our article, “AI Driver: Safer Is Not Enough," we discussed why self-driving cars will need to be more than just a little better than human drivers, but let's just look at human drivers and see where that bar is set.Despite the accident reports that cause mile-long traffic jams that seem to happen all too often, human drivers do a remarkably good job, all things considered. Humans have poor reaction time, are unable to look in multiple directions simultaneously, are distractable, have several blind spots, occasionally fall asleep at the wheel, drink & drive, have medical issues... yet humans are only involved in an injury collision about once every 1 million miles, and a fatal crash only once per 100 million miles or so. This is an injury collision avoidance performance of six-nines and a fatal collision avoidance rating of eight-nines.
Applying the Nines to Tesla Full Self Driving
Musk did not promise FSD by the end of 2020, he said he was confident that they would have “basic functionality for Level 5" by the end of the year, then “the real work" begins. Musk stated, “There’s just a massive amount of work with each kind of order of magnitude of reliability." I think Musk's assessment of the “real work" effort after feature-complete is accurate and an under-appreciated aspect of system development; remember our simple 8 months to feature-complete project that took another 3 to 4 years to reach five-nines. As we see from the human driving data, FSD will need at least six-nines to be as good as a human.Every Tesla made today has eight cameras, a front-facing radar, and ultrasonic sensors. These sensors are important, but the heart of the system is a deep learning artificial intelligence. All of the various sensor data, GPS info, navigation, speed data, and more are streamed to the AI system where it attempts to make sense of the world around it, make real-time decisions, and get you to your destination without an insurance claim or a hospital visit.
The hard part of a self-driving system is not simply staying in a well-marked lane; it's dealing with all of the edge-cases. Computer systems interacting with each other can have a massive number of edge-cases. Self-driving systems have to interact with the real world, a smorgasbord of edge-cases: occluded signage, rain, snow, dirty cameras, construction, something falling off a truck, potholes, animal crossings, people in costumes, unpredictable human drivers, bicyclists, runners, scooters, skateboarders...
Some have asserted that the tail is so long that it will be impossible for an AI system to drive a car until AI has common sense and understands things like a person looking at their phone is not paying attention and that a person in a costume is still a person. Plus many situations at intersections are resolved with eye-contact and hand waves, how will an AI navigate this? These certainly are difficult problems, but that's what makes engineering interesting. They will be solved, without requiring an AI to be conscious, the only question is when.
When Will Tesla Achieve Level 5?
To know when you're done with a project, you have to know the goal. Going through this, we've established some of the criteria:- Hit feature-complete, so the "real work" can begin
- Better than a human driver (better than six-nines)
- Able to handle novel situations safely
Andrej Karpathy became Tesla's director of artificial intelligence in June 2017. With Karpathy's arrival, the direction for Autopilot development was shifted greatly with more operations moved into a unified neural net backbone with multiple heads (dubbed the hydranet). Using Karpathy's arrival as the starting date would yield 42 months.
In April of 2019, Tesla released Hardware 3 and referred to the inference engine hardware as their FSD computer. This is a Tesla-designed custom system-on-a-chip (SoC) to run their neural network. Tesla claims that the new system was 21 times faster than their previous vendor-supplied solution. This is when Tesla said that they had the hardware platform that they required for FSD to be achieved. Based on this date, the time to feature-complete would be 20 months.
Now, which of these dates should we select as our start? I don't want to keep "moving the goalpost" and allow any significant event to be a restart point, yet I don't want to allow false starts or work by suppliers to count against the time either. Given these competing goals, I'm selecting Andrej Karpathy's start date as the legitimate beginning for the current direction for Tesla's FSD direction. (Let me know which date you'd select.)
Given Karpathy's start date and a possible feature-complete of December 2020, that's 42 months from start to feature-complete. So looking at the two models we have above, how long would it take to reach the goal of better than six-nines?
The 80/20 rule would need 9 iterations (8 more after December). That would be 8 * 42 months or 28 years to get to six-nines. By this model, the steering wheel could be deleted from the parts list in December of 2048. Let's look at the other model.
The empirical model gets to six-nines in only 5 iterations (4 more after December). That would be 4 * 42 months or 14 years before you could fall asleep and wake up safe and sound at your destination.
It's possible that we won't see self-driving cars until 2034, but let's use the more recent HW3 date. You could make a case that until this hardware was available, the AI was severely limited and this bottleneck hampered progress. Using this more optimistic date, it was 20 months from power-on to feature complete. And since we're going for the optimistic model, let's use the empirical model. Five iterations (4 more after December) would be 4 * 20 months or 6 years 8 months. That puts the 'sitting in New York and summon your car from LA' date as August of 2027.
Before you assume these models are accurate, let me assure you, they. are. not. These are rules-of-thumb based primarily on people debugging complex systems, not deep learning AI. They are based on projects that occur within a handful of years on a single generation of hardware. AI is still a nascent field, major breakthroughs are still occurring. Moore's Law yields periodic doubling of computing performance. In a mature technology, you don't see a 21x performance boost like Tesla's HW3 effort. And neural nets evolve on a non-linear "S"-shaped sigmoid function which means they can quickly go from incompetent to mastery.
The point of this long entry was to attempt to determine when we might see robo-taxis on the road. Toward this effort, we've generated estimates from 2027 to 2048. This ~20-year window seems large but if you're reading this, it means it is likely to occur within your lifetime. What I can guarantee is that new driver-assist features will continue to roll out and improve each year. And when self-driving cars happen, it will be a step-function in human history. Self-driving cars will join the list of humanity's greatest breakthroughs along with the wheel, electricity, and powered flight; it will save more lives than Penicillin, and yet it will be as taken for granted as quickly as the self-piloting elevator.
Disclosure: I'm long Tesla stock.



































