Economistdiary.com 5 layer ai breaking news - 17 US tech genii with trum in china: deals Boeing .🛡️ Semiconductor & AI Breakthroughs 🚗 Autonomous & Emerging Tech Financial Tech & Market Access - 17 included Blackstone Blackrock Nvidia Apple XAI ... Between 2025-30 world's infrastructure remade -can full stack of 5 layer AI map APPs your community and youth's edu most needs to produce? Update 2026 of 2025report first publishedf 1983 Bonus refhttp://neumann.ning compare 1951=56 last 5 years of NET (Neumann-Einstein-Turing's) exponential legacy of chips, computers, satellites
OUR BELIEF emerged 75 years ago from diaries of Von Neumann and dad Norman Macrae Economist sub-editor. May 7-9 wash Dc sees next chance for 24000 people to determine what AI they want. Engineers need to design AI so that parents everywhere can celebrate kids being smarter than they are. We first storytold that vision in 1984's 2025 Report- to achieve it engineers would need to transform affordability and quaiity of education, health, and joyful homes-communities. Today 5 layer AI can offers a good enough roadmap : layer 5 AI: apps scaling community actions*layer 4 - the AI models; *3 places sovereign data aiand leadership; *times 2 designing machines with billion times more mathematical brains and deep data worthy of such *1 energy and resources need to feed the hungriest machines ever built Between 1948 & 1990 The Economist went from 3rd ranked British weekly to first(Last) global viewspaper. Which stories helped?
Taiwan:: USW,::USE ::WholePlanet:: India : France :: UK ::Japan : Switzerland, Canada, Nordicam: Middle East "" Africa "" Latin South:: Italy :: Singapore :: HK ::Korea :: Germany :: China ... Which country's people do you want AI to support with livelihoods and data mapping
Are you interested in Intel Agents Uniting Youth Brains & S-H-E-Lf-F- W-E-P-O-L-I**4-C-YPP or Space, Energy, Robots,Einstein-Sciece Leaps, Ending Rottem Media
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, unfortunately 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 Market's futures : Cars Humanoids Cities Energy Water
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
five major labs/systems we discussed — US Lawrence/DOE Labs (esp. Livermore), Japan’s RIKEN, China’s CAS/Hefei National Lab, UK’s Cavendish + STFC, and Germany’s Max Planck/Helmholtz — are all actively involved in fusion energy research and sit in the middle of the global race, though at different intensities and with different approaches.
Quick Breakdown by Lab
Lab/System
Role in Fusion Race
Approach & Strengths
Current Status (2026)
US Lawrence Livermore (LLNL)
Front-runner in inertial confinement
National Ignition Facility (NIF) – laser-driven
Achieved repeated ignition (net energy gain); new Livermore Institute for Fusion Technology (LIFT) accelerating public-private partnerships
China CAS / Hefei
Very strong contender (tokamak leader)
EAST tokamak, CRAFT facility, BEST program
World records in plasma performance; major new international burning plasma program; talent pipeline via USTC
Germany Max Planck / Helmholtz
World leader in stellarators
Wendelstein 7-X (W7-X)
Record long-duration plasmas; spin-outs (e.g., Proxima Fusion) aiming for commercial plants
Contributions to JET, simulations, laser fusion experiments; not a primary large-scale experimental hub
Japan RIKEN
Niche but active
Muon-catalyzed fusion, accelerator-based, supporting national efforts
Historical work on muon fusion; collaborations; less central than NIFS (Japan’s main fusion institute)
Overall Assessment
Yes, they are central players: These institutions embody the long-term physics-to-engineering pipeline you’ve tracked (Einstein-era fundamentals → computation → energy). Fusion perfectly fits their historical DNA in high-energy physics, plasma science, materials, and computation.
The real race leaders today: US (inertial via LLNL + private sector), China (magnetic/tokamak scale + speed), and Europe/Germany (stellarator innovation). Japan’s main fusion strength is through NIFS rather than RIKEN alone.
East-West dynamics: This aligns with your earlier notes — Lawrence (US), Hefei/CAS (China), and RIKEN/Max Planck (Japan/Germany) are key national connectors, much like in AI/quantum.
Fusion remains a global collaborative-competitive race (ITER is the big international project, but national labs + private spin-outs are accelerating timelines). The next 5–10 years will be decisive as labs translate scientific milestones into engineering demos.Would you like deeper details on any specific lab’s fusion program, comparisons between inertial vs. magnetic approaches, or how these tie into Jensen Huang’s Layer 5 / full-stack AI applications for fusion simulation?
