Mapping 2 different 21st c economies

[chris macrae]

the 21st c world has been built aaound wi-fi and msort tools that also beam data up and down from every bps; most of this in the west at least has been dominated by a handful of big digital cooeratios which carved up most of teh usable data - however there was another route and in terms of Architect Intel it has become a12.0 - it started with fei-fei li's work on hud=ge training of computer vision (yeras of work) before expecting a model; she moved from illinois to stanfrod in 2008 and sarted competions- eveb the most huge scientific leap deep micd participated in tehse stages - here is bard's intro on this

Yes, DeepMind participated in the ImageNet competition and used some other open-source tools in developing Alpha models.

• ImageNet competition: DeepMind participated in the ImageNet Large Scale Visual Recognition Challenge (ILSVRC) in 2012 and 2014. In 2012, they used their AlexNet model to achieve a top-5 error rate of 15.3%, which was a significant improvement over the previous state-of-the-art. In 2014, they used their GoogLeNet model to achieve a top-5 error rate of 6.67%, which was a new state-of-the-art.
• Open-source tools: DeepMind used a number of open-source tools in developing Alpha models, including:
  • TensorFlow: A popular open-source software library for machine learning.
  • PyTorch: Another popular open-source software library for machine learning.
  • Theano: An open-source software library for numerical computation.

In addition to these open-source tools, DeepMind also developed their own custom tools and techniques. For example, they developed a new way to train deep neural networks called reinforcement learning. Reinforcement learning is a type of machine learning where the model learns to perform a task by trial and error. This approach has been shown to be very effective for training Alpha models.

we beleive this route which permits openness on basic societal data can lead eg to uniting youth as firts sgd generation; of course there are big corporates in this too like google but main leaps include open cooperation- for this reason we also see thsi as aligned to 50 years of empowrring bottom of the pyamid human development which from 1995 started to link violages in with mobile and soialr that had never seen electricity of other grids. in 2001 steve jobs hosted a party with fazle abed - how could he partnand other partner bottom quarter of the pyramid botton billion womnen empowermet in particular - this has led to waht we catalogue as the 30 most es=xtraorinary cooeprations of all time... abemooc.com

DeepMind's work on Alpha models has had a significant impact on the field of artificial intelligence. Their work has shown that deep learning can be used to achieve superhuman performance on a variety of tasks, including image recognition, game playing, and language translation.

Here are some of the dairy pints of how 1 billion girls went digita

First digital mobile platfoms com to bangladesh 1995/6- licences taken out for poor first; to use mobile in vilages without electricity grdisd solar had to be developed hand in hand with mobile models - recrsds show that the quadur family at MIT (backing included sors tekenir legatum kater av=bdul latif ie toyota niddel east foundation) adn sir fazke abed;s jaoanese mobile pafriend in silicon valley begand this; in arallel a few yeras later cellnet and vidaphone included pro-poor projecst in tgeir o=roll outs with moesa becoming the mos massive

in these ae=eraly pro-poor digital modesl we are talking 2g blackberry - ie phones whose one featire beyond voice was text; somehow text bece the first cashless finacial service models ; remeitances was what drove this finacial model - in other words how did youth sent by their rural families to ern money in city most econokically remit back their savings

the furst chnage to hapen in the us as far as we know was a 2001 braisntorm dinner oarty hosted by steve jobs family for fazke abed; steve jobs sepcific question was how can we scale around the world your girl empowerment models; they decided new universityies would be key; abed staretd a real university; seeing wi fi standards steve designed the universuty in the phone iphone 2007 but from 2005 started giving extrordinary commebnecment talks of which that at stanford hasd teh mist influece- neither abed b=nor jobs had finsiehd 4 yera degrees fibding other chalenges too urgent; moreover steve argumenst for the 21st c future of mobilsation were as authiriative as his 1984 visiosn for the future of npersnal computing. What we argu haened is that stnfird started to become the workds most colaboraive intellugence university for this 2nd trype if 21t c connectiovity ig=f huamn relationships - and with google being stared by stand-frd aluni, there was an each way dynanic getweeb googe as racing t be largest tech player and stanfird being the deepest; this may or nay not have taken root without feei-fei li who from 2006 innovated a titally new procss of AI atalmost teh same time taiwanese americ jerry yanhg of yahoo had sold out of hsi start u and bothe became an academic and a huge sponsir at stafird; we also had alumn andrew ng who co-foudned cusrera and to this day hists the digitally nost nassive machine cding nearky free ci=urricula; pixhai who had been a stanfird graduate in late 1990s returned to google product 2002 and ceo from 2015 - he is committed to ai as the buggest change humans have ever worked on as andrew ng who called ai the newelectricity

meanwhile google cofounder page had been one of stanfird biss=gegst philanthropise - the algorith extert brinns work needs more research but ultimately he wqs the expoential s matematicain; befire ichai took charh=ge Dean is regarded as keeing the exposnetial cukture of google alive ; it is sadi he sponsored deep mind in london; and effectively this acquistion became the first gift to oichai; soon fei-fei li was secondeing to good=ghle could; nd by 2019 stafird retty much rebranded the whole of AI and the whole of itself as Stang]for HAI; -there is clearly an UP (University Private ) oartenrship between stanford and google like no other (for sure you can ask what was relationship of micrsoft, gates , allen biotech foudnatiosn with universites) but the consistency of the oersonak betwirking exhcngaes between google and stanfird wiuld be rematkable if it wasnt also for them being neig=boring towns and to soem eextent the 60 yer magic of the vakket=y is depest between intels's atnta clara , stabfirds palo atlo and googles mountain view. Ehen you look at who was there to c-akauch stfird hai in 2019 there are up to 50 famous tech or philanthrists; of course what hapene next was coivid ; sudeenly education and soecuetal demands to blend real and virtual saought tov atch up with the comeercail bits ; this is ne way if exakining 2023 exlosion if LLM modeks eg bard , gt nodels eg chatgpt; - there are argauabky 7 models with as much expereimentaion going on as eg bard with another adeed every 3 months; at teh furst annual review of us nationwisde ai in march the talk was all about should us gib=v fund a chatgpt and waht dies chatgpt manwhen itsayd chian's model has 5 times more oaraeters than this - is theta simply to do language modeling with thiusands of caaracters insted if 26 you need a bigger resource or ...

in any event while anyine concerend with can ai help sustainbility goals of the un  or milennail generation should chaeck in with any genius I woudl suggest tehy might current gain from double double hscking wit centrally coencetd people in stanfrod or google. After al this is only ti say humans are driving teh architecure of intelligence not teh oethr way round.

On of the starndge diary notes is techniaclay pesronal deevuces steraming data u and g=diwn through gevery cahnge the gamen and begot cliuds etc. The irigib if thsi was the wi fi fiundation whi tok their stabdard to the UN's ITU in Geneva ariubd 2002, and out of which WSID annual conferencing emerged from 2005 however the view that thsiu was all connecetd with AI did nit get operationally understaood by top Un ladership untile eudcatirs reveiwed teh sdgs and said ther-y were impossible unless gas were filed between ed, tech and each practice integral to each fo=goal eg agricultre fr gaols 2, halth for goal 3; so by 2017 aifirgood became integral to un tech envoy leadership cooeraption,s digital radmaping of giv 2.0 and notably we are rewsinding to which socetal markest must the public own at least 51% of teh data - food tes goal 2 heath yes f=gaok 2 education yes f=goal 4, women emo=werment goal 5 water sanitation goals 6 ; decentarkaises=d cashless finance to end poverty; we are back full circle with fazle abeds brainstrom with steve jobs 2001 or indeed how back from quadirs involvement with bagladesh a key partner as tuft alumni reeta riy ; she started uo smastercard foundation in torint conveneinetly locate dto understand blackbereys advance; when abed was redy to look for national aprtenrs in afriuca she became the longest running partners (argauabky only sosros hhelped as much to lad in afruca as he had in many ways from 1996 -see liste ) regardung reeta roy now that ajay baga is started 5 yeras at workd babnk will he and imf tainaguALRSUE AI FOR GOOD WITH GUTERRES uN; -the imf even has chinbacg dsuporting stsfird agai ecnomist av=lvet-y interening in bdien carbon zero market shaping;

one sorty we have admiited so far is jim kim - uktimately he scxuceeded janes grant as greatestest connector if communty health west abd sout neets east; with aulf farker outr of boston they started www.pih.org in 1984; upset by both nih and fda prof=ress on hiv solutiosn fornbthe poor, kim had the idea of linking deepest seravnts f end tuberciluoisis and hiv; ge dcvered abed was world keader in vilagers end tuberculois and introducesd abed ti botyh bill gates and george soros; by 2005 the globa fund was argaubly the only bush adminstration network to be multiplying huamn development unlike the wars and the coming subprime; in any event there was etraotrdinary netwurking h]going on from that furst barknstirm of abed and steve jobs- connecting the dits is arguably something bard tuype models can do - but ultimately this depends on designs and marjets what l=lugins  

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Here are some key Diary points of what we call 1billiongilrs economy; up to 1005 1 billion gilrls lived in vilages without access to electrict and so without partnership platforms other than word of mouth and wgere they gained literacy book of print.. Most of 1 billiongirls livedon the Asian continent - in humid tropical conditiosn with particular problems fir infant survival; they were potentiually borderless needing to exchnage the same mifrofranchsie solutions- for example they all needed rice science to maximis mall local productivity - this science came from borlaug networks; although its official asian epicentre was the phillipines, The Ecinomist colected evidence that Japan consistely advanced this knowhow from 1950 to 1980 and became the benchmark - -eg see ht teh economist caled the hapiest chart in the worl- the fact than cambodia as of 1977 was producing 20 times less rice per small farmer than the japanese meant that cmabodia's knowhow hadnt incraesed for a millennium but wherever countries moved in japans direction there was an opportunie to won goal 2 from local starvation to at east enough rice

between 1972 and 1995 - the tow most massive girls populatiosn to end extreme rural economy were in bangakdesh and tropical china; there are clear inrerventiosn eg by unicefs james grant on oral rehydration and nationwide vaccination which tigether with enough food raised life expectancies ovf vilagers from the lowest in teh world eg low 40s to aproaching life expectancy of 60s by 1995. To be clear there was no cross over investment between tehse 2 countries. Their sources of funding the very porrest vlage women were different. Even the mecanism that systemically mepowered women to race to be as locally productive as men was different - see fazle abeds tsiry as builded of rural communities of 100000 peopl with 15000 vilage mothers needing microfranchsie livelihoods - versus china wehere the one child poliy mad half if all family networksd dependednt on tehir brighest 20 something female; and where the dcesiion  in 1976 of what chinese capiutalim would alow as private comaonies included small vilage rice enterprsies.

Some people (probaly starting with covid) have siad we needed to urgently cooperate in deisigining a web3 economy df=ifferent from web2 in which however acidentally almost all data models of the future became semi monoploies of the biggest tech foirms - the western ones being Apple and microsft Amazon, Google and facebook - there are of course many other huge companies such as IBM , Comcast but somehow the design deceisions of whats possible seemed to define what innovatiosn are possible . There were also companies like Intel which arguably did the most between 1965 and 1990 to kep the belief of at least 100 tijes more chnage per decade going (ie moores law) and ultimately wedt coast personal networks seem to have driven choices even though eg MIT could argue to have been the ekder of Architect of Intel

To thise milllenaisl and other wanting there t be a fiurst generation web3 has been caled upon to make system tarsnformatiosn so that integration of sdg commnuity goals is possible; somehow communties need to decentralsie tehir data their finance, their intellect multipliers

we ould liek to examine a different map - we are not saying either is right or wring- but on our map there have always been 2 different 21st C models of the future and there have also been a group in the middle where indivifuals may have supported what we canll the 1 biliion gorls and 1 billion botys bittim quarter of teh 8 billion pyramid intel to resolve the deeesot chalenges the un sdgs set us. 

We argiue that the geneis of 1 billion gilrs economy cals for a different diary log back from 1951 where the NET (Neumann Einstein Turing) had a maximum of 6 years to assemble the lessons of their lifes wirk and the legacy they hoped others would Ai (Architect Inteligence ) around.

My family and jouranlust eg The Economist for 40 years; friends of adm smith schlars and others have tried to keep track of this diary; of course we havent spotted every contribution- and as you can see from this conversation with d=bard when we try and ask what is the starting int for those who taklk about teh web 2 economy there is n agreement either

There is no single innovation movement that can be credited with stating Web2 as being potentially completely different from Web1. However, there are a number of factors that contributed to the development of Web2, including:

• The rise of social media platforms such as Facebook and Twitter, which allowed users to share information and connect with each other in new ways.
• The development of cloud computing, which made it possible to store and access data online, making it easier for businesses and individuals to build and use web-based applications.
• The growth of mobile computing, which made it possible for people to access the internet from anywhere, at any time.

The Wi-Fi Foundation was founded in 2002, and it played a role in the development of Web2 by promoting the adoption of Wi-Fi technology, which made it possible for people to connect to the internet wirelessly. However, the Wi-Fi Foundation was not the only factor that contributed to the development of Web2.

Web2 is often seen as a more user-centric and interactive experience than Web1. Users are able to create and share content, and they can interact with each other in new ways. Web2 has also led to the development of new business models, such as advertising and subscription services.

It is difficult to say definitively when Web2 began. Some people argue that it began with the development of social media platforms in the early 2000s, while others argue that it began with the development of cloud computing or mobile computing. However, it is clear that Web2 has had a significant impact on the way we use the internet.

Here are some of the key differences between Web1 and Web2:

• User-generated content: Web2 allows users to create and share content, while Web1 was primarily a one-way medium.
• Interactivity: Web2 is more interactive than Web1, as users can interact with each other and with content.
• Collaboration: Web2 allows users to collaborate on projects and share ideas.
• Personalization: Web2 allows users to personalize their experience, such as by choosing the content they see and the people they interact with.
• Business models: Web2 has led to the development of new business models, such as advertising and subscription services.

Web2 has had a significant impact on the way we use the internet. It has made the internet more user-centric, interactive, and collaborative. It has also led to the development of new business models. Web2 is still evolving, and it is unclear what the future holds for it. However, it is clear that it has had a major impact on the way we use the internet.

Is it acceoted that smart devices which connected dats from every gps connected a different data economy than compouting devices whose location was not core to understanding the data

Yes, it is accepted that smart devices which connected data from every GPS connected a different data economy than computing devices whose location was not core to understanding the data.

Here are some of the key differences between the two data economies:

• Data type: Smart devices collect a variety of data types, including location data, sensor data, and user data. Computing devices, on the other hand, typically collect only user data.
• Data value: Location data is valuable to businesses because it can be used to target advertising, optimize delivery routes, and improve customer service. User data is also valuable to businesses, but it is not as valuable as location data.
• Data privacy: Smart devices collect a lot of data about users, and this data can be used to track users' movements and activities. Computing devices, on the other hand, typically collect less data about users, and this data is less likely to be used to track users' movements and activities.
• Data governance: Smart devices collect data from a variety of sources, and this data can be difficult to manage. Computing devices, on the other hand, typically collect data from a single source, and this data is easier to manage.

The different data economies have implications for businesses and users. Businesses that collect location data from smart devices need to be transparent about how they are using this data and they need to take steps to protect user privacy. Users need to be aware of the data that is being collected from their smart devices and they need to be careful about what data they share.

The different data economies are also likely to have implications for the future of the internet. As more and more devices are connected to the internet, the amount of data that is being collected will increase exponentially. This data could be used to create new services and applications, but it could also be used to track and monitor users. It is important to consider the implications of the different data economies before we move forward with the development of the internet of things.

To the extent that msart devices (gps data integration) chnaged the game I feel thats what made web 2 possibilities different than web 1. Are you haopy with mapping web 2 around that or shall i use some trem like smart devices models of the future?

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I think it is fair to say that the rise of smart devices and the integration of GPS data has changed the game when it comes to Web2. Smart devices have made it possible for users to interact with the internet in new and different ways. For example, users can now use their smart devices to get directions, find information, and control devices in their homes.

I think the term "smart devices models of the future" is a good way to describe this new era of the internet. It is important to remember that Web2 is still evolving, and it is unclear what the future holds for it. However, it is clear that smart devices will play a major role in the future of the internet.

Here are some of the ways that smart devices are changing Web2:

• Location-based services: Smart devices can use GPS data to provide location-based services, such as turn-by-turn directions and recommendations for nearby businesses.
• Remote control: Smart devices can be used to control devices in the home, such as thermostats, lights, and security systems.
• Data collection: Smart devices collect a variety of data, which can be used to improve user experience, target advertising, and develop new products and services.

The rise of smart devices is one of the most significant trends in Web2. It is important to understand how smart devices are changing the way we use the internet and how they can be used to create new and innovative products and services.

I hope this helps!