75 years in a day of Economist Q&A since 1951 with Neumann , Einstein, Turing
40 YEARS MEDIA CHARTERING
London Celebrating AI & Quantum & 6G & Energy --- thanks to lead mapmakers Jensen & Demis & Charles3 .. EJ : : Japan+63 ... MEIM : Millennials Energy Intelligence Mapping
Old home page. -please use web version of our timeless blogs		www.economistdiary.vom Is English Language Modelling intelligent enough to sustain our human species? Great are 1990s Valley startups eg nvidia, musk's and googles exponentially linking much of whats humanly possible with machines engineered billion times mo(o)re maths brainpower than individuall human minds. But 1943 UK future shocks to.o. Geoffrey Crowther Economist Ed started debate keynes: were engineers deeper than economists in locking in futures next gens connect?. 1943 also saw dad norma cambridge studies interrupted serving last days as teen navigator allied bomber command burma. Surviving joyfully hired 1948 by Crowther to mediate engineers like Neumann Einstein Turing & Economist purpose. 3 generations apart, imost unfortunate Neumann-Einstein-Turing all left earth by early 1957: last coding notes Neumann's Computer and the Brain. Economist IQuiz disliked by EU but what to do with billion times more machine brainpower celebrated by Kennedy, & the royal families of UK & Japan. Whence not surprising greatest UK AI startups deep mind & arm influenced by royal societies & Cambridge business park ( crown property) & crick/watson open sources of dna, & cavendish lab 1920s influencing Taiwan's tech grandfather. see part 2 2025report 40 years in inteligence war between bad media and good education agents Countries with good data sovereignty projects rsvp chris.macrae@yahoo.co.uk UK Japan Taiwan India France Saudi UAE Korea S Singapore HK US 1 2

Sunday, December 31, 2000
































































LIVING WITH MACHINES WITH BILLION TIMES MORE MATHS BRAINPOWER THAN SEPARATE HUMAN MINDS. GROK3/2025 Report announces 10 Peoples Science Networks

Rank

People's Science Field

Description

Key Open Elements

1

Open Data Science & Analytics

Using open datasets and tools (e.g., Python, R) for insights in policy, environment, and health.

arXiv preprints;

2

Citizen Science & Crowdsourced Research

Public participation in data collection (e.g., birdwatching apps, pollution monitoring).

Platforms like Zooniverse;

3

Open Access Biomedical Research

Free sharing of health studies, drug trials, and genomics data.

PubMed Central (2M+ articles);

4

Environmental & Climate Open Modeling

Collaborative simulations for weather, biodiversity, and carbon tracking.

OpenEarth/Climate repositories;

5

Open Educational Resources (OER) in STEM

Free textbooks, courses, and simulations for science learning.

ERIC database;

6

Collaborative Software & Code Repositories

Open-source coding for apps, simulations, and tools (e.g., GitHub for science).

GitHub's 100M+ repos;

7

Open Hardware & Maker Science

DIY designs for sensors, labs, and renewables (e.g., 3D-printed tools).

OpenDOAR hardware dirs;.

8

Bioinformatics & Genomics Sharing

Open genomes and protein folding data for personalized medicine.

BioRxiv preprints;

9

Fusion & Advanced Energy Research

Open plasma/physics models for clean power.

ITER collaborations (35 countries);

10

Quantum Computing & Simulation

Shared algorithms for drug discovery and materials.

Quantum OA in arXiv;

HUMANITY FALL 2025 : Grok3 announces 10 Peoples Science Projects (above)This ranking reflects a progression from information-heavy (ranks 1–3) to infrastructure-dependent (ranks 7–10) fields, per open science trends where 82% of OA growth is in digital realms. Global application accelerates via UNESCO's 194-country Recommendation, targeting inclusivity for underrepresented regions.
Allphafold3 open source 250 million proteins was first demo of billion times more maths and is core to 2025-35 being the most exciting time to be alive.

GROK DETAILED POST

Rank
People's Science Field
Description
Key Open Elements
Likely Worldwide Application Timeline
Rationale for Order
1
Open Data Science & Analytics
Using open datasets and tools (e.g., Python, R) for insights in policy, environment, and health.
arXiv preprints; Kaggle competitions; FAIR principles for data sharing.
2025–2030 (already 70%+ adoption in academia via open repos).
Immediate digital scalability; powers SDGs like poverty reduction via free analytics.
2
Citizen Science & Crowdsourced Research
Public participation in data collection (e.g., birdwatching apps, pollution monitoring).
Platforms like Zooniverse; UNESCO-backed global hubs.
2025–2032 (expanding via apps in 100+ countries).
Low-cost entry; builds on smartphones for inclusive global monitoring.
3
Open Access Biomedical Research
Free sharing of health studies, drug trials, and genomics data.
PubMed Central (2M+ articles); PLOS ONE's inclusive publishing.
2026–2033 (post-COVID acceleration; 1/3 of literature now OA).
Urgent for pandemics; equitable access reduces global health disparities.
4
Environmental & Climate Open Modeling
Collaborative simulations for weather, biodiversity, and carbon tracking.
OpenEarth/Climate repositories; SciELO for Global South data.
2027–2035 (tied to Paris Agreement; 50% growth in OA climate papers).
Rising climate urgency drives adoption; open models aid vulnerable regions first.
5
Open Educational Resources (OER) in STEM
Free textbooks, courses, and simulations for science learning.
ERIC database; Khan Academy/UNESCO OER hubs.
2027–2034 (doubling access in low-income countries via mobile).
Bridges education gaps; enables self-paced learning in underserved areas.
6
Collaborative Software & Code Repositories
Open-source coding for apps, simulations, and tools (e.g., GitHub for science).
GitHub's 100M+ repos; Hindawi's OA software publishing.
2028–2036 (ubiquitous in dev; 80% of AI tools now open).
Fuels all other fields; rapid iteration via global coders.
7
Open Hardware & Maker Science
DIY designs for sensors, labs, and renewables (e.g., 3D-printed tools).
OpenDOAR hardware dirs; De Gruyter's OA engineering books.
2029–2037 (growth in fab labs; 30% rise in community makerspaces).
Empowers local innovation; slower due to material access but scales with 3D printing.
8
Bioinformatics & Genomics Sharing
Open genomes and protein folding data for personalized medicine.
BioRxiv preprints; BMC Biology's free access.
2030–2038 (AlphaFold-like tools democratize; ethical data sharing ramps up).
Builds on biomed; privacy regs delay full global rollout.
9
Fusion & Advanced Energy Research
Open plasma/physics models for clean power.
ITER collaborations (35 countries); open journals like GOAJS.
2032–2040 (prototypes by 2035; grid integration post-2040).
High engineering barriers; international treaties accelerate but lag behind digital fields.
10
Quantum Computing & Simulation
Shared algorithms for drug discovery and materials.
Quantum OA in arXiv; emerging open quantum hubs.
2035–2045 (hardware immaturity; sims apply first via cloud).
Most nascent; requires infra but open code speeds virtual applications.
This ranking reflects a progression from information-heavy (ranks 1–3) to infrastructure-dependent (ranks 7–10) fields, per open science trends where 82% of OA growth is in digital realms. Global application accelerates via UNESCO's 194-country Recommendation, targeting inclusivity for underrepresented regions.


Here are 2 intelligebce researchers who helped save most lives during covid- how would you classify them vis a vis groks 10 people sciences and whom else should we the peoplews bwe celebrating everywhere

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