Why George Hotz, #Geohot thinking is superior to Elon Musk in Artificial Intelligence AI

The title of the post is perhaps a little misleading in one way, I really don’t think Elon Musk coded his AI, but I do think both he and George Hotz set the features, relationship and prioritisation around the work for their AI’s and in Georges case also built it.

In thinking about the design an artificial intelligence too many people think about the inputs and not the logic first. The critical path in AI design is

what are the features of the AI that make it intelligent beyond a binary interaction and where are these interactions focused

Karl Smith, Founder at UbiNET

Geohot took the classic hacker approach in relation to immediacy in defining his features, taking the problem statement to ‘how to teach a car to drive’ instead of ‘how to understand the world in which a car moves’. These are fundamentally different approaches to the same question producing radically different solutions.

Tesla and Elon Musk

The Tesla solution is an ecosystem approach, from friend who have them the end to end experience of buying, getting and using a Tesla is orchestrated in much the same logic as the AI is designed. The Tesla AI maps the world and creates not just an in the present experience but a sense of knowing relative environment and future risk. This is much the same way as drivers make constant assessment of context based factors in their driving responses. However this way of building AI is extraordinary expensive not just in the initial build but also in the maintenance with constant updates.

George Hotz

The George Hotz solution is at the other end of the spectrum, its focusing on actually learning to drive and making the AI responsive to environmental change rather that mapping the world. In the film below George makes a statement

Drive naturally like a human not some engineers idea of safety

George Hotz

at 4.50 onwards which I used in 2016 when I spoke at SXSW in Austin, USA about Cognition Clash in the Internet of Things, that is fundamental in building Artificial Intelligence that is adaptive rather than limited by human perceptions on how we think we do things.


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Government as a Service (GaaS), Spying as a Service (SaaS) the United Kingdom exports some unexpected things

While it has long been known that the Special Air Service (SAS) conducts desert training ‘exercises’ in the Middle East in support of a number of small but strategically important Kingdoms, what’s only recently becoming known the United Kingdoms other special exports.

http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/

Government as a Service (GaaS)

In recent years the United Kingdom government has sort to move away from procuring it’s Information Technology needs from external consultancies on long multi year contracts to more manageable value focused small contracts for unique skills and also create internal technology capabilities for each cabinet department. This then created new opportunities to resell capabilities to other countries.

Early in 2016, I was interviewed to lead one such endeavour for the Foreign & Commonwealth Office. I must admit however I only went to find out what was going on, the revelation that the United Kingdom Government expected to be able to sell full stack technology solutions to other countries was staggering, yet logical. Smaller states don’t have the time or money to work out what technologies works and what does not, so an off the shelf solution is a really great offer (provided it works), naturally there would need to be modifications for local legal and cultural constructs all affording additional fees.

Foreign & Commonwealth Office Services Map
https://www.google.com/maps/search/foreign+%26+commonwealth+office/@52.1053269,-0.8095153,899m/data=!3m1!1e3

Spying as a Service (SaaS)

The well known now ‘special relationship’ with the USA has been in place since the 1940s based on the United Kingdoms creation of code breaking computers at Bletchley Park, where the German Enigma Cipher was broken by Alan Turing and his team based upon Polish mathematicians in the 1930’s. The more recent revelations by Edward Snowden and the subsequent publishing of secret information by Wiki Leaks points to a continued sharing of data and capabilities.

Infrastructure for National Security

None of this is new in fact since the first Transatlantic cable was laid it was tapped for ‘National Security’ reasons below is the Hut in Porthcurno, Cornwall where this was done.

Infrastructure Security Today

Coming back to today there are constant concerns regarding the security of Telecommunication Infrastructure.

The current war of words around Huawei Technologies has create an odd situation for general public since this company does not hold customer data but rather sells telecommunication hardware to companies who do and therefore any backdoor can be detected. I attended the Press launch of new Huawei Cyber Security Transparency Centre, 5th March 2019 in Brussels.

What I heard was the desire for an even playing field in commerce from an engineering company committed to excellence and innovation. Further Ken Hu the rotating chairman of Huawei suggested that GDPR be adopted as a global standard for data protection of all humans. I applaud the notion, especially as GDPR was a proposal from the United Kingdom adopted by the European Union. I suspect however the idea of named Data accountability and transparency on holding and usage would be counter productive for the NSA (USA), BND (Germany), CNI (Spain), DGSE (France), Five Eyes (Australia, Canada, New Zealand, UK, USA).

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