71 karma · joined April 17, 2016
This model makes the assumption that all players in the value chain (producers and consumers) are agents with repeatable instructions ie put,Get,push,add,mov,etc.
Since there is No SI unit for instructions I propose the Unit for measuring instructions be MOV operator , This is because of my belief taking inspiration from the X86 MOV operator which was proven to be turing complete with the movfuscator(https://github.com/xoreaxeaxeax/movfuscator). What this means IMO all computable operations can be broken down to move operations.
Lastly this system views markets as interaction between agents . And makes the assumption that agents that do not sustainably price their goods / services will fail to operate in the longrun. And views variance / volatility in prices as a outcome of chaotic interaction between agents rather True indicator of value.
This model is completely different than market analysis of prices / value . Not to mention that majority of value traded is done outside of open markets .
This model makes the assumption that all players in the value chain (producers and consumers) are agents with repeatable instructions ie put,Get,push,add,mov,etc.
Since there is No SI unit for instructions I propose the Unit for measuring instructions be MOV operator , This is because of my belief taking inspiration from the X86 MOV operator which was proven to be turing complete with the movfuscator(https://github.com/xoreaxeaxeax/movfuscator). What this means IMO all computable operations can be broken down to move operations.
Lastly this system views markets as interaction between agents . And makes the assumption that agents that do not sustainably price their goods / services will fail to operate in the longrun. And views variance / volatility in prices as a outcome of chaotic interaction between agents rather True indicator of value.
>> the only significant conclusion this paper had was a driver was more than 22% likely to look at the "down and center stack" when on AP
>> the paper was based on data found on this https://ieeexplore.ieee.org/document/8751968 paper author by none other than my favourite podcaster D Lex Friedman . the study is conducted on 25 cars all either model S/X from 2016-2019 AKA pre fsd hardware and driver monitoring.
>> now tesla has a big screen on the center console and i would find it natural to see the navigation when im not driving. BUT all other aspects of driving were not that far from normal ... turns out people do all sorts of dumb stuff with or without AP
>> this took me less than 15 mins of googling and i was baffled by how something so stupid could go past even the most bare bone peer review . and then i found about "The Advanced Vehicle Technology Consortium (AVT)"https://agelab.mit.edu/avt the sponsor of some of the co-authors . Which curiously has major car companies and suppliers listed as partners except for tesla . i dont have the inside info on how money changes hands in academia ... but the whole thing looks pretty bad
personally i am biased towards Tesla (aka tesla fanboy) . But i feel there is enough wrong here to justify my case that this was a academia sponsored hit piece not to different from climate change deniers or tobacco companies.
1. invest money in a supply chain to have parts in stock for the battery assembly(take many months).
2. do a repair in Tesla warranty and pick up the Tab again if it breaks or worse the battery is damaged.
3. force a repair on the owner/lessee to pay for a new battery assembly which is less likely to have issues/safer