Press, Artistic and investor Presentations ahead of 2025 report AI- Beyond Extinction Edition-75th diary upd with net & ED

index net=Neumann-Einstrein-Turing; ed = Economist's longest sub-ed dad norman macrae: on years secondment 1951 to UNYPrinceton from London St James during which dad pretrained by Neumann in leadesrhip scoop: what good will peoples unite wherever firat aceess to !00+times more tech -coms comp & brain science - per decade. ref 7th diary year: neumann last lectures computer & brain; AI=Architect Intelligence -ex:what adjective would babbage app today as more visionary than artif...

ED & QH: & special announcement - in what could have been my father norman's centenary year, please join us 8th AI interdecade mapping exercises since neumann/macrae year of braiintorming Architect Intelligece: 1951 UNYPrince. 

2021-2011 was first without his sub-editing and its debriefings got somenwaht delayed by covid and the rise of fascism/etc media ;The 2010 rembrace idea born when dad died owes most to kindness of japan ambassador to bangladesh and 2 leading designers of bangladesh human ai  (Abed/Yunus)suggested we compile mooc of top 30 female cooperations in advancing humanity - eg help with the 30th we are only just starting ; 10000 15-second youtuv=be reviews -overall jigsaw of lesson plans for sdgs to be actioning good orbits by 2030

First folowing Von Neumann journeys to future of life, we have always visioned AI as Archiytecture of Inteligemce. In that sense the waving/webbing togetehr of very new communication and computationan tool expaisn AI consequences. We asked bard for eg top 20 technoliges that it surveys in helping people explore AI which barely exisetd in 1999 at the epak of web1's comercialisation; this isnt a complete list to integrate with AI. Indeed if you deepesnt practice intelligence is nt represenetd digitally in this ai conjuct list please tell us- we see this as a leagure table of ai  not the be all and end all

welcome to goats1.docxfrom innovations library of greatest of all time- !!something would very wring if 2020s advanced tec not celebrating greatest human tean innovation

attchment 1 20 brian tools helping ai as meta brain tool

attachment 2 chaos examples of best ai for open advancement of humanity to date

In 2025 Our journalist (smithian keynsian, wilsonain) associates will be 75 years into cataloguing ai for good as von neumann and his NET (Neumann, Einstein , Turing) visioned expoential oportuites and threats. The first 80 yeras of connecting world out of switzerlands ITU had spiralled 2 world wars, the need to compound no harm as well as integrate human advancements into Architeture of Intelligence has always been our vision. Indeed, Neumann suggested the biggest journalsit scoop - what good will peoples uniyte wjherever they have first acess to 100+times more tech per decade. Neumann was also the sytrongest of advocates of open; indeed the 12 yeras he git from world war 2 to design software, hardware and brain theory offer a benchmark for openness by the world's leading scientists of an era when most of their life had been spent on secret innovatiosn needed to win the war.

IN MORE DETAIL celebrating maps linking in

There are several gateways to games to our briefings which we welcom co-chats around

1 what are the biggest ever leaps in AI - eg the 200000 protein database? are they actually all inter-trelated -eg would any of them have hapened with AI2.0 as designed around fei-fei li and friends

2 we presnt a framework of dynmaics that have slowed down open and societal advances of ai in favour of a handful of big corporates; in effect there have been 2 diferent web2.0s traced to wi-fi as the leap in connecting

presentation 1 therefore comprieses greatest leaps for good and comparison of 2 different 2.0s and framework for asyu=ing why socuetal/open/cooperative has been slower road to the future even as its the beyond extinction route

we bumch broken systems ito 2 types:

wasting people's time (ege bad media slow ai in education , misprioritsation of nest mathematians and data gravities)

2 we are stuck in goverance 1.0 frameworks which multiply distrust externalsiation, extraction - once we face this we can see which places have been trying to advance 2.0 by such simple questions as : doe people have a universal indetity designed for each indiduals floirsishing not gfor government bureaucratics; there are ways to look for places that have become labs for family/women empowerd AI, and next generation ai; the idea that ai innovation for bad and good is not equally diustributed equally geograpghically has bene coore to our 75 years of tracking AI; indeed first decade review published exetemsively in teh economist by 1962 an

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It is likely that any western nation thak blocks its millnnnials for newtorking deepest intelogence friendshsips with asians will be sustainability's bih=ggest loser- we do not make this hypothesis on pioltical grounds - n=imdeed as per 25th year survey of neumann vision - the economst xmas 1975=6 entrepreneurial revolution - future sovieties design coms around left-right=central and community building sme network 

where might one loo for asia cooperation possibilities; actually all of america's biggest funds are building brdiges even as washington dc hiffs and puffs; but then dc is little over 1 yera old in catching up with arctitect intel 2.0 

 Miguel Cordon · 9m ago · 3 min read

Will greater local autonomy take Sequoia to new heights?

The Peak XV team / Photo credit: Peak XV Partners

Rachel Citra contributed to this report. 

In a surprise move, US-based Sequoia Capital spun off its India and Southeast Asia arm into a separate and fully independent unit. Sequoia India and Southeast Asia also dropped its name, which has been a source of pride for many founders in both regions.

They soon have to get familiar with the new brand, Peak XV Partners. In an announcement, Sequoia said Peak XV – pronounced “Peak Fifteen” – was the original name given to Mount Everest, Earth’s highest mountain above sea level.

Sequoia wants to assure founders that not only can the new entity take startups to new heights, but it can do so with more independence and flexibility.

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“Like a startup, it is critical for an investment partnership to move quickly and efficiently while complying with applicable rules and regulations. Operating as independent brands will enable this,” Shailendra Singh, managing director at Peak XV Partners, tells Tech in Asia in an email interview.

A better era?

Over the last 17 years, Sequoia India and Southeast Asia has raised 13 funds to invest in 400 startups, of which more than 50 have been valued at more than US$1 billion. The VC also has 19 IPOs and M&A deals that have generated US$4.5 billion in realized exits under its belt.

While that’s a remarkable achievement, Sequoia has been facing issues including portfolio-related conflicts and financial mismanagement as well as the need to move faster in local markets, according to sources who spoke with Tech in Asia.

Singh agrees that “companies backed by different Sequoia entities will eventually compete with one another, which creates challenges for founders and their teams.”

“Prominent Sequoia India SaaS companies like Druva, Clevertap, Sirion Labs, and Atlan Data have all had this issue, where there is a Sequoia Capital portfolio company that competes with them,” he adds. “Now with separate brands, we are able to avoid this issue.”

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Mehul Shah, a partner at Asia-focused startup scaler Hyphen Partners, shared in a LinkedIn post that inter-portfolio clashes can be a real threat moving forward as AI adoption grows and remote working tears down geographical barriers.

“It should be said that these clashes are all born out of the success of these funds, and the strategic separation will allow each entity to maximize its potential,” he wrote.

Besides the potential to avoid internal portfolio conflicts, local autonomy appears to be another major factor behind the restructure.

“Many times, we wanted to do something locally but could not get global approval,” an ex-Sequoia staff member in India and Southeast Asia told Tech in Asia.

In recent years, the name Sequoia has been caught up in headlines involving the collapse of fashion ecommerce platform Zilingo and car-services provider GoMechanic. These incidents increased the internal debate on local autonomy but were likely not the sole triggers for the Sequoia revamp, another source told Tech in Asia.

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“Frauds have been happening even in the US portfolio – look at the FTX scandal. As far as I know, there are a number of reasons, one of which is the US-China geopolitical tension,” the person said.

Responding to Tech in Asia‘s queries on whether the friction between the US and China was a major factor for the spinoff, Singh didn’t offer a direct answer.

However, he explained that upcoming investment decisions will be made based on Peak XV’s “nuanced understanding of local regulations” instead of being “constrained by regulations that may have no bearing in our region.”

As for the future, Peak XV will still be on the hunt for investment across seed, venture, and growth stages in sectors like such as climate tech, fintech, software as a service, consumer tech, and of course, AI.

See also: Zilingo’s Ankiti Bose resigns from the company’s directorships (upd...

Sequoia Capital 

Sequoia helps founders build companies, from idea to IPO to beyond. Sequoia Capital India and Sequoia Capital Southeast Asia actively partner with founders of companies, across categories, including Byju’s, Cred, Druva, Five Star Finance, Freshworks, GoTo, Groww, Kopi Kenangan, Mamaearth, Pine Labs, Polygon, Razorpay, Truecaller, and Zomato, among others. Sequoia supports startups with its over 50 years of knowledge and lessons learned working with companies like Airbnb, Alibaba, Apple, Dropbox, Google, LinkedIn, and Stripe early on.

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TIA Writer

Miguel Cordon

Finally updated my bio.


in babbage's time artificial meant created by humans not by nature!!

We guess babbage would rebrand 2020s followers Reality Machines - according to bard --The word "artificial" has a number of different meanings, but in bbage context, it means "created by human beings rather than by nature." - here is fuller conersation with bard - it makes stanford's case that HAI - all good intel is designed by humans- the concept that AI will become alins who seek to end humans seems to have zero journaloistic credence unless you see something we haven't yet visioned

when why and what did babbage first name artificial

Charles Babbage, a mathematician and inventor, first coined the term "Analytical Engine" in 1837 to describe a hypothetical machine that could perform any calculation that could be described in mathematical terms. The Analytical Engine was never built, but it is considered to be the forerunner of modern computers.

Babbage called his machine "analytical" because it would be able to perform any type of analysis, including differentiation and integration. He also called it "engine" because it would be able to perform calculations automatically, without human intervention.

The Analytical Engine was a revolutionary concept for its time. It was the first machine that could be programmed to perform any type of calculation, and it paved the way for the development of modern computers.

Here are some of the reasons why Babbage first named artificial:

  • To distinguish it from other types of machines: At the time, there were many different types of machines that could perform calculations, but they were all limited in what they could do. Babbage's Analytical Engine would be able to perform any type of calculation, making it a truly revolutionary machine.
  • To emphasize its potential: Babbage believed that his Analytical Engine would have a profound impact on society. He envisioned a world where machines could do all of the tedious calculations that were currently done by hand, freeing up people to focus on more creative and productive activities.
  • To challenge the status quo: Babbage was a brilliant and innovative thinker, and he was not afraid to challenge the status quo. He believed that his Analytical Engine would change the world, and he was willing to put his ideas out there for others to see and critique.

Babbage's Analytical Engine was never built, but it is considered to be the forerunner of modern computers. The ideas that Babbage developed in the early 19th century laid the foundation for the development of the digital computers that we use today.

did babbage use word analytical, artifcial or both in describing his new kind of engines

Babbage used both the words "analytical" and "artificial" in describing his new kind of engines. He called it the "Analytical Engine" because it would be able to perform any type of analysis, including differentiation and integration. He also called it "artificial" because it would be able to perform calculations automatically, without human intervention.

Here are some of the sources that back up this claim:

  • In a letter to his friend and collaborator, John Herschel, Babbage wrote: "I have called it the Analytical Engine, because it is on the principle of Analysis that it proceeds."
  • In his book, "On the Economy of Machinery and Manufactures," Babbage wrote: "The Analytical Engine ... is a machine of the most general nature, and can be made to perform any operation which can be defined in an algebraical formula."
  • In a paper presented to the Royal Astronomical Society, Babbage wrote: "The Analytical Engine ... is a machine for doing arithmetical operations of any kind, and for solving any problem which can be expressed in an algebraical formula."

Babbage's use of the words "analytical" and "artificial" to describe his new kind of engines was significant because it showed that he had a clear understanding of the potential of these machines. He saw that they could be used to perform any type of calculation, not just the simple arithmetic operations that were possible with the machines of his time. He also saw that they could be used to solve problems that were previously thought to be impossible to solve.

Babbage's Analytical Engine was never built, but it is considered to be the forerunner of modern computers. The ideas that Babbage developed in the early 19th century laid the foundation for the development of the digital computers that we use today.

why do you think he used word artificial as opposed to eg perpetual - i dont understand sense of word artificial

View other drafts

Babbage used the word "artificial" to describe his Analytical Engine because he believed that it was a machine that could perform calculations in a way that was similar to how humans do it. He saw the Analytical Engine as a tool that could be used to extend and amplify human intelligence, rather than as a replacement for it.

The word "artificial" has a number of different meanings, but in this context, it means "created by human beings rather than by nature." In the early 19th century, when Babbage was developing his Analytical Engine, the word "artificial" was often used to describe machines that were designed to mimic human behavior. For example, Babbage's contemporary, Joseph Marie Jacquard, invented a loom that could automatically weave patterns, which was considered to be an "artificial" machine because it could do something that was previously thought to be possible only by humans.

Babbage believed that his Analytical Engine would be even more "artificial" than Jacquard's loom, because it would be able to perform any type of calculation, not just the simple weaving patterns that were possible with Jacquard's loom. He also believed that the Analytical Engine would be able to learn and improve over time, which would make it even more similar to human intelligence.

The word "perpetual" has a different meaning. It means "lasting forever." Babbage did not use the word "perpetual" to describe his Analytical Engine because he did not believe that it would last forever. He knew that the Analytical Engine would eventually break down and need to be repaired or replaced. However, he believed that the Analytical Engine would be a valuable tool for as long as it lasted.

Babbage's Analytical Engine was never built, but it is considered to be the forerunner of modern computers. The ideas that Babbage developed in the early 19th century laid the foundation for the development of the digital computers that we use today.

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survey 1of child centric education

IF SCHOOLS were child centric they would make age relevant interventions:

if anyone is illiterate at age 6 it only takes 90 days to change that - best of all a literate kid can be main helper in 20 minute session - see sunita gandhi

finacial literacy would be practicsed from age 8 - see aflatoun ( works in 100 countries

from age 10 pre-teens would have access to pfysical and mental health studies designed peer to peer -see Lancet

no kid would leave primary school without knowing how open space meetings/teamwork is facilitated

teachers would be celebrated for clarifying which skills involve experiential learning not classroom examination - while there is some recognition that music and sports involve practice, its shocking that coding isnt valued this way ..


Do you have life-changing moment to share? - what was it and what did you think or do differently after it?

example until 9/11, i assumed that (good) futures are happening somewhere in the world and would be searched out so that all could communally replicate them;  === 9/11 caused me to question whether global connectivity will give us time to find sustainable solutions for our kids- i became particulaly interested in places where good education leaps appeared but did not get app'd the world over - one example actually goes back to my favorite 1990s advances in schools that a small cliuster of new zealand schools pioneered - download it here

i welcome discussion of this book's parts at any time rsvp if you have a solution every community that develops youth could be cooperational

in 1984our book with economist editors 2025report made the case for 40 year commitment to every child identifying own skils dashboard and maximising AI curation of this- we valued this as sustainability critical worldwide cooperation - we see no logic for changing this concern

== we live in an age where most up to half of knowhow of techforgood changes every 3 years - we needed mindsets for exploration not for being standard examined; a nation that makes its college students its largest debt class is likely to collapse economically socially environmentally if web3 is designed for celebrating sustainability cooperation; and if web3 is not designed for neough yout to linkin the first sustainability generation then we are all heading the way of the dodo

I am learn to learn  

TECH - What is IT? and which exponential multipliers most impact human and natural futures?

AI   >. silicon chip singularity (ie when one chip > one brain in pure analytical capacity) - science fictiion no moore

who programs the ai - the race to include lost voices eg girls- the world of statistics re=-examined like never before (eg previously mass statistics very weak at coding meaining from numbers)

Biotech  >> Affective science (loveq and emotional intelligence remains human's unique edge over artificials for at least 10 more years!)

Some people say that Virtual or Augmented Reality has advanced at its best so far in last 12 months that there are hardly any qualified teachers only pioneering explorers- does this matter - well its VR which is your gateway to web3 - intead of just a mobile device you will like wear  a visual sensor system; equally others argue that you shouldnt worry about how fast you put googles on - what you should want is to take back ownbership of what you spend time creating virually- look at the small print of the big platforms you probably dont own anything without them..maybe this is a generation issue bu interstingly the met-generation can now work on chnaging anything that old systems are destroying (eg climate) ...t 

 IOT which things will now have brains and be as mobile connected as you are

Crypto - can communities celebrate financiang their own most urgent sustainability cooperations? if they dont who wil?

Cyber >> Drone - opportunities and threats of public spaces- first in spaces like the arctic circle if we dont use drones we will get no warning before the big meltdown

-the mkist memorable western campus event i attended in 2010s was tufts colllaboratory summit convened mainly by arctic circle youth under 25; 

one of the main debates how to help teachers in arctic circle schools empower their students to use virtual reality to visit other arctic circles schools communities; many of the changes and solutions are analogous; I am reminded by educators leading the compilation of virtual realty libraries of the DICE acronym - a reen might want to do something dangerous like climb everest, why not VR simulate that? there are impossible things a trainee doctor will never be able to travel inside a humans gut but that can be VR'd; there are catastropghic simulations - you would rid the world of bees just to test if donald is wrong about nature being more powerful than he is, you can simulate it; or the future of smart tourism may be curation of what a community is proudest of being visited for - this way ecotourism, cultural appreciation exchanges can be twinned to maximise celebration of each other- and by the way friends of the tourist can join in virtually- of corse this raises a metaverse question - that Hong Kong is leading the world on

being 100% public - good and bad hacs- note context matters - context 1 smart city context 2 isolated vilalge no moore context 3 make a huge land safe at borders

3D printing aka additive engineering

Big Data Small by market tech sector Leapfrogging

Nano cf einstein - to innovate science model more micro


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