or we can ask how do neural network algorithms increasingly enable machines 1 first to see (then 5 sense) all that humans see, then report back in informative formats like those chats have used since 2023. Both for humans and machines intelligence cant be more complete than what data goes in but the twist is human brainpower mediates emotional intelligences such as trist whereas the computer brain remains the ultimate mathematical machine
Neumann and Turing died prematurely in 1950s but they expected neural network algorithms to be integral to the computers they had birthed and celebrating 4 by million fold tech exponentials (chips computers satellites - which by 2020s have linked 8 billion humans to 10**18 more tech than 1950s. Surely that technology (with AI for humanity) could advance 10 times more health*wealth for all if we advanced 100 times more for all women and men on $1 a day in 1950s (due to being left out of electricity and all engineering goods )
AI CHARTERING (cf Economist Iintelligence Unit: Brand & Leadership Chartering 1995)
AIC1 Until 2023 AI did not hallucinate; it was deployed on saftey's biggest chalenges; it helped roadilogists and surgeons save lives; robotcs leaders had chosen self driving cars as lead project to reduce death by human car drivesAIC2
2 There is so much good in world that 8 billion humans (transgeneration) need to map. So the last thing needed is for most of public to think of AI as chat modeling's fera of extinction Note this problem would npt exist if countries had one law; When AIis deployed to break tyhe law, the organsiation is immediately chatged. If necessary it can take 20 years of legal arguments to reapportion blame but to start up the operator is charged
3 Whats ming grabbing about chat? They have devised the most persuasive presentation and one that matches making pitches. They illustrate problem of not knowing what library each chat draws on/ They cant tell us because they didnt clear all copyright permissions. Admittedly if the owrld wnated best mathjematical ai twe sould adopt neuman's mxim
4 http://www.economistdiary.com/2025 Back, updating 30 years of net legacy 2025 report hypothesises if we get tech good f0or heaslth asnd education next generations can celebarte ai opportunity. Help us vote for ai engineers tranforming edu and health and good. WE don't see altman or amodei as qualifying yer- but welcome open analysis ogf hwo's hi trust ai who.
5 We suggest adding 2 layers to jensen 5 layer ai -
6 go from baf media and lost joy of education to smartest media and edu.
7 Transparent local to flobal governamce og whole supply chians and inteligence libraries -open data. Web1 and 2 ws taken over by fale media- metaverse standards offerv chnace to web3
YOUR BRAIN needs to be busy to search for paradigm shifts to UN goals
eg health goal who's transforming who
he provided blog post highlights a massive paradigm shift where advanced artificial intelligence, high-performance supercomputing, and biotech are fusing to drive global human development. Based on the synthesis within the text, here is how AI serves as the core engine for these "giant leaps" and the primary purposes driving this revolution: 1. Accelerating Personalized Medicine & Drug Discovery Instead of traditional, multi-year trial-and-error chemical matching, AI models are mapping biology at an atomic level to instantly engineer health solutions: Generative Biology (ESM3): Moving beyond just predicting known shapes, newer biological "large language models" can generate entirely new, non-natural proteins from scratch to target specific diseases. Structural Interaction (Iambic & Genesis): Utilizing advanced AI architectures to predict exactly how proteins morph physically when interacting with drug molecules, dramatically cutting down pre-clinical failures. Virtual Cell Prototyping: Building open foundational data registries (like the Human Cell Atlas) to simulate millions of genetic alterations and tissue behaviors digitally before ever testing them in a physical wet lab. 2. Safeguarding Global & Orbital Infrastructure As technology scales, physical and environmental risks multiply, shifting the focus of AI from "software safety" to structural engineering protection: The "Road of Things" & Physical AI: Deploying real-time edge intelligence to safely pilot autonomous vehicles, green energy grids, and community safety hardware. Space Safety & Collision Mitigation: Using high-fidelity spatial data tracking to coordinate thousands of mega-constellation satellites, directly attempting to prevent the Kessler Syndrome (runaway debris cascades). Grid-Native Metabolism: Harnessing automated marine drone networks and climate data models to track ecological displacement and clean up localized environmental microplastics. 3. Democratizing Livelihoods & "Layer 5" Civic Impact A core thesis running through the text is that AI is meaningless unless it expands local human capability rather than hollowing it out: AI Mentors & Exoskeletons: Moving away from standard text chat models toward localized, domain-adapted digital twins that act as open-source copilots to upskill non-technical workers. Digital Public Goods: Scaling systems like the India Stack (Aadhaar/IUDX) to manage urban traffic mobility, environmental metrics, and micro-finance data for millions of rural entrepreneurs. Cognitive Augmentation: Blending computational neuroscience with localized education modules so that youth can instantly practice money, trust, and structural engineering tools directly from consumer devices. If you want to dig deeper into these themes, let me know: Would you like to map out the top 10 specific AI healthcare startups listed in this ecosystem? Do you want to look at how Clara Wu Tsai's neuroscience framework contrasts with Priscilla Chan's Biohub open data mandate? Should we analyze the geopolitical tension surrounding corporate vs. open-weight AI models? AI can make mistakes, so double-check responses     Sponsored To learn more about how AI is being used in healthcare, you can explore these resources.  Elation Health Understanding AI in Healthcare - AI in Healthcare - Elation Health This Guide Provides an Intro to How AI Tools Can Be Leveraged to Drive Clinical Efficiency   go.manifold.ai Life Sciences Data AI-Ready - Built on Claude and AWS - Deploy in 4-8 Weeks Your workflows, evidence criteria, and methods get encoded into agents. Value compounds.  povertymuseums.blogspot.com  AI20s.com AdamSmith.app PovertyMuseums: November 2004 The 50 Smallest Island Nations (SIDS Spatial Coalition): Grouped as a single, sovereign space focusing on Layer 13 (Grid-Native Metabolism & Environmental Sensi...
