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THE CONTENDERS

ICE v BEV

The Car replaced the Horse, the Auto Industry evolved on the back of the genius mechanical engineering that was the Internal Combustion Engine (ICE). This new giant was substantially Enabled and supported by the ever-growing  Oil Industry.

 

Cars changed lives, and lifestyles. Dominant Auto Industry Brands enjoyed over 100 years of growth and prosperity building “Up and Down” supply chain businesses globally. Around 110 years of Progress and complacency these established business giants are now substantially threatened by the introduction of the Battery Electric Vehicle (BEV or EV) which calls upon software and data networking to produce a totally compelling alternatives to Cars that are dependent upon the ICE.

MYRobotaxi is your ride, we are making a reality now

Autonomous Vehicles - AVs

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These new Software Defined and Fully Connected BEVs provided the platform for further evolution towards Autonomous Vehicles (AVs). The prospect of an Autonomous Driverless Car has morphed from science fiction to fact in the last few years. Every Auto Industry participant understands they need to deliver on this Compelling New AV Tech... But Can They? In 2012 Tesla commenced the disruption with a compelling BEV and continue to take share through innovation. Tesla Technology today delivers Full Self Driving (FSD) as an OTA downloadable software. The InCar compute and sensor system has been present in most models since 2019.

Most cars today deliver varying degrees of Driver assist systems - referred to as ADAS. Advanced Driver Assistance Systems are often confused with Autonomy or claimed to be Autonomous.

 Its not & they are not

Building a Safe Autonomous Vehicle is a Very Difficult Challenge

The graveyard of autonomous vehicle aspirations includes most automakers  

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Ex GM CEO defines the AV market today - Video

Tesla & Google (Via Waymo) Remain - but crucially only one of them makes cars. Waymo Operates in the Google “Other Bets” division with an analogue Implementation. They have limited stock (2k) of the old Jaguar I-PACE, which they convert at a rate of 60 per week Tesla produces ~35,000 cars per week. All of them are Robotaxi ready - Ex Factory 

The existing platforms on which current cars are built are not technically capable, they are neither ‘Software Defined’ or ‘Fully Connected’.

Legacy Auto concluded the liability exposure was too much of a threat.

 

Direct to consumers model for Rides was not attractive, dealers added no value, nor could they be involved.

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GM acquired ‘Cruise Automation’ & shut it down following a severe pedestrian injury.

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Uber Autonomy Shut down AV efforts following a fatality.

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APPLE Invested > $10Bn... only to shutter the project- It’s a very difficult problem 2014 to Date: 8 from 10 declared a shut down of efforts.

The AV Industry Has Evolved Into 2 Different Technology Approaches

AV. Digital AI

Probabilistic

$37,000

V

AV. Analogue

Deterministic

> $150,000

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Digital AI-Tesla

End to End AI Neural Net

Deep Training

Massive Compute

Factory Line  production

> 30,000 per week

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Analogue Everyone Else

Requires Location Mapping

Mapping Maintenance

Heuristic C++ Programming

Modify ‘Other’ Vehicles

60 Units per week 

Built In

(Factory Line)

TESLA ~ $35,000 cost to produce  

V

Bolt On Analogue 

(Postproduction)

WAYMO ~ $150,000 cost to produce

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Vertical Full Stack Integration

All Designed In House

Producing 1.5m units Annually 

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Multiple Competing Suppliers

Hardware +Software + Sensors

Bolted Onto or Into One Car

Requires Sensor Maintenance

Converting 60 per week 

AI Neural Network Data Training

  • In Car Digital Inference Processing via an AI Neural Net provides 50 Trillion operations per second (FLOPS) - In Car
     

  • Proprietary Training Data of billions of miles from 8m Fleet deployed at an AI training farm of 120,000 cohesive GPU* Stacks
     

  • This ‘Firmware Factory’ produces FSD-S & FSD-U for OTA downloads to each participating/qualifying car
     

  • No Pre-Mapping of operating area and no maintenance of mapping required
     

  • Production capacity: ~2m Robotaxi compliant cars Per annum
     

  • Most new cars ex factory are Robotaxi equipped today
     

  • Immense scalability for which there is NO Industry Equal 

GPU* =Graphical Processing Unit  (Advanced CPU) 

Image of 8 GPU Stacks Versus 120,000 deployed

$10Billion invested for FSD Training

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Just, the cooling of the firmware factory

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But How?
AV Digital AI – Building the Competence for FSD Unsupervised

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The Partnership Scramble

Legacy Auto and existing Ride Hail Operators have been convinced by supply chains that important missing AV components and skills can be delivered through Partnerships. Existing Ride Hail companies (Uber) believe they can provide driverless services by sourcing cars and components and software from these partnerships by funding their endeavours. It’s a very messy ‘mish mash’ of multiple 3rd parties.

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New Partnerships are aspiring to Compete in the lucrative AV Robotaxi Market but none of them manufacture  cars. It is an entertaining bun fight of unrealistic dreams. Analogue technology  works!  Waymo have demonstrated that, but the unit cost economics & the financial & logistical burden of delivery is a Challenge. It makes Good PR & gets good press coverage but It is not a viable or profitable long term business case. 

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Bolt On Post Production Sensors from Multiple suppliers. 

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