Update AI Games
AI Generations ask:
What if advantage of nations depends on redesigning education to help improve peoples intelligences everywhere.?
In 1951 The Economist started mediating the question what if 21st c advantage of nations depends on transforming education around helping improve peoples intelligence flows everywhere. Mediation of this was celebrated with Von Neumann and his peer NET (Neumann Einsetin Turing)
Economist editor Geoffrey Crowther had compiled a centenary autobiography of The Economist 1843-1943. He concluded The Economist had fai8led its founders mediation mission with queen victoria and royal society newsletters to transform UNited Kingdom from ruling empire waves, currencies (including opium) and slaves to mediating commonwealth. Why? Overall because weekly economic journalism hadn't proactively stayed ahead of engineers. Glasgow's physical engineering and transportation revolutions were one thing; but central europe's innovations of telecoms and electricity grids were quite another. Keynes General theory had identified a most valuable question : - who exponentially locks in possibilities of future generations? But the answer with "the handful of economists whose rules influence legislation" wasn't sufficient. At mimimum any generation needed to be openly curious about a handful of engineers scaling future expoenential waves, as well as u8nderstand that the commons is being given away with every gob release of spectrum..
Mediating what if intelligence futures are determined by changing education has seen many zigs and zags since 1951. For example The Economist had not anticipated that whilst 3 generatiosn apart all of tyhe NET would have partned earth by mid 1950s - that's turing at 41 through suicide, neuman at through cancer, Einstein at through old age. However Von Neummn had provided these editorial patern rules to The Economist
Anticipated 21st C firts generation will be surrounded by expoenetial increases in technology of computersm chips and satellites. Mediate futures proactively.
Always seek above zero sum trading models
Stop nationns making energy designers both the most hated and weanted of the people (the way you have disturbed our lives)
Make sure that all Einstein's unaswered questions of natures deep maths -ie 1905 publication of e=mcsquared) are answered as an intergenerational priorityy
Fix the factb that as of 1951 USSR is oneregion where peoples are not free to linkin with what can be the most excitining chnage of generations.
The Economist had sent the only journalist tp Messina 1955 to charter the birth of the EU. While the core idea of merging 6 countrues coal and steel markets soi france and germany never went to war again fitted Neumann pappter rules, the bureaucratic addition of common agricultural policy did not. At a stroke this blocked the EU respomsibility to the majority of countries it had empired over who as of 1955 omainly had agricultural marjjets to grow. The med sea which had in the first halo of millennoum 2 been the greatest space for win-win trade was at risk of becoming the world's most dismal bay.. Another disaster was the failure ton ensure switzerland was integrated into the middle of the EU. Switozerland had been where enb=gineering emdiatio of telecoms and electricity had been standardised the world over. It also inherited woiirld health, world peace out of Geneva and apparently banking and pharma rules out of Basle.
FRom 1962 The Economist launched futre hosrtirie sof nations srating with 1962 japan , this was surprisingly impoactful uniting tyhe positive attention of both JF Kennedy and both Japan and Uk Royaal families. Jpans leap forwards in microelectronics and robots would be the big client of silicon valley chips. Demings quality engineering supply chains made it natural for Japan intelligence to connect smes in Korea and Taiwan. # asian cultures japanese korean diapora chinese could be mathjhched with the 2 english spaking cultures of USA and Britain out of the wonderfully pow=sitioned tradining islands of hong kong and singapore. Sadly Kenned was assasinated this, but Prince Charles 1964 visit to Tokyo Oly,pics statred intellihgence exchnages between the two royal families and their eoithical dutires to helpo lead decolonia ai mapping across old world.
Eyeopening nationalfuture surveys conntinued beginning with
1963 USSR, 1964 Latin America. These would be The Economists's first individually signed surveys tbut they would try to build on intelligence of nations questions. Indeed all of chips, computers and satllites were becoming engineering expoenetials - we now know that chips chngaes million fold in capacity from 1965-1995 and stallites mobilisation of data clouds and accelerated deep computing deigns mainly took off from 1990s as peoples played with the first digital networks. In 2025, we are indeed play ing with 10**18 more tech -chips million fold expoenetial multilpying 1gto ^G million fold expoenetial multiplying jenen huang peer engineers million foold deep computing poetentials
FRom 1972 Economist urveys turned to whole world or hemisphere 40 year future histries. The technology scenariosn hoild up pretty well; the social mediation challenges have frquently done the opposite of support chnaging education to value improving eberywones intelligences.
FANTASY ENGINEERRING FOR ED GAME
The simplest change education game is to list a handful of engineers that every s=yeacher and stu8dents can ne exploring visions with. For example thanks to the AI world summit series hosted by 1 King Charles 2 Korea 3 Frances Macrin 4 Modi 2026, 4 essential enginners work over the last 30 years seems to be
Jensen Hiang
Demis Hassabis
Yann Lecun
Elon Musk
We can ask :
how is ai catching up with einstein's sciences particularly implications for health services- the biggest lesson from modern asian economics is poorest natiosn are built on improving health as a communal capacity not reaching some arbitary income such as 2$ a day; the good news is deep learning ai started with how pixel coding chnaged radiology - so health ai is now 20 years into scaling inside hospitals even if huge biotech revolutions like alphafold 250 million protein sourcing is only 3 years old.
Hw advanced are self driving cras as gateway to all autonomous humanoids cities may deploy
How have we moved from coding binary 0,1 to pixels to all 5 human senses. IN what markets were big corporates the first to see these opportunities and risks; did the launch of chats in 2022 indicate that most of humanity had not been included in what big corporate had been advancing.Neuman had argued that coding maths needs to unite all mother tongues which carry with them cultural and data sovereignty dynamics but not yet human harmony with natures forces (eg climate) let alone evil adaptation of science (eg man made plagues).
So the decade 2025-35 appears to be the most exciting time to be alive provided 4 billion elders and 4 billion under 30s are free to ask ai generations question and demand total redesign of how education spends teachers time and studnnts time.
Fortunately we dont need to rely just on engineering personalities.WE can identify the first 10 supercomputers designed to be at least 25x energy more efficient for deep learning platforms- and map what priority platforms different regions of the world are hosting on these supercomputers. Here's a rough map summer 2025 - please note this is a fast moving game. And there may be some corporate clouds that need to be added.
FOOTNOTE 1 - which needs fame if education is to improve intelligences - chatgpt or alpafold3? You’re absolutely right that as AI advances, the future of humanity could depend heavily on breakthroughs like AlphaFold 3—and, more generally, on AIs that go beyond conversational abilities to deliver reasoning, scientific innovation, and even physical action.
Why AlphaFold 3 Is a Pillar of Future AI Impact
Unprecedented Scientific Power: AlphaFold 3 dramatically expands the scope of protein and biomolecular structure prediction. It now accurately models not just proteins but also nucleic acids, protein-ligand complexes, ions, and post-translational modifications—critical for understanding disease, developing drugs, and enabling synthetic biology123.
Enabling New Medical and Environmental Advances: With this, scientists can accelerate drug discovery, protein engineering, and even custom-design new molecules with desired properties—potentially revolutionizing areas from personalized medicine to green energy12345.
From Static Data to Physical Impact: Tools like AlphaFold 3 act as force multipliers for all of biomedical science, allowing researchers everywhere to innovate at a pace and scale that was unthinkable a few years ago.
The Coming Fusion: Reasoning, Physical, and General AI
Demand for Reasoning & Physical AI: As conversational AIs become common, expectations are shifting. There is rising demand for AIs that can integrate reasoning (solving scientific, medical, and engineering problems), interface with the physical world (robotics, automation, healthcare devices), and even perform real-world tasks678910.
The “Physical AI” Revolution: This refers to AI systems that don’t just process information, but perceive, plan, and act in the physical world. Rapid progress is seen in robotics, manufacturing, autonomous transport, healthcare, and logistics678910. These “physical AIs” will soon combine advanced language or reasoning skills with real-world embodiment (think: smart surgical robots, molecular synthesis labs, or AI-driven field researchers)789.
AlphaFold 3’s Place in Humanity’s Trajectory
Bigger Than Chatbots: Unlike viral chatbots—which mostly entertain, inform, or assist with everyday tasks—AlphaFold 3 and similar systems may “move the needle” for civilization itself by speeding up solutions to previously intractable scientific and health challenges12345.
Catalyzing the Next AI Leap: The integration of high-level reasoning, scientific insight, and physical action (like synthesis, lab automation, or even autonomous experimentation) is widely seen as the next foundational advance in AI678910. Many experts believe the greatest AI impact will come not from talking AIs, but from those that help us reason, discover, and directly manipulate the world for good11412.
Bottom Line
The next era of AI will be defined by systems that combine the scientific rigor and world-changing power of AlphaFold 3 with advanced reasoning and the ability to interact with—and solve problems in—the physical world. These platforms will likely have a far deeper impact on health, longevity, the environment, and economics than today’s chatbots ever could. Your insight aligns with what leading researchers and futurists are now predicting: the future of humanity may hinge more on these deep, reasoning- and discovery-oriented AIs than on conversational ones123645
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