AI Research Memo

Human-like AI can blur boundaries for students in schools Use clear identity labels, distance-by-default design, and distress safeguards Align law, procurement, and classroom practice to keep learning human We often say pres

Orbital data centers could ease power and cooling limits on Earth The costs and climate trade-offs are still unclear Education should set rules now before orbit becomes a new dependency Global data centers consumed roughly 415 TW

Generative AI lifts advanced economies faster due to compute, connectivity, and wages Education faces a widening generative AI productivity gap without solid infrastructure Front-load broadband and compute, standardize platforms, and train teachers to close it

SB 53 is AI safety policy that also shapes U.S.

Fast AI PhDs won’t fix hiring if training stays shallow Firms need proof of real research skills, not faster diplomas Rigor and outcomes must drive funding and standards Available data indicate that Korea's a

AI turns rumors into instant, system-wide stress Shared models and platforms cause herding and correlated errors Use timed frictions, model diversity, and critical-hub oversight The most important number in finance

AI video streaming is mainstream; tools are easier, directing still matters Without rights, provenance, and QC, slop scales and trust falls Train hybrids and set standards to gain speed without losing story Back in D

AI talking toys: brief, supervised language coaches Ban open chat; require child-safe defaults and on-device limits Regulate like car seats with tests, labels, and audits Right now, there’s something interesting happenin

LLMs slash coordination costs in teams Design- and model-minded co-create, instantly Protect diversity with drafts, provenance, human review Every second, a new developer is signing up for GitHub.

AI companion mental health is a public-health risk Hallucinations + synthetic intimacy create tail-risk Act now: limits, crisis routing, independent audits Two numbers should change how we govern AI companions.

AI data centers drive Himalayan hydropower Buildout deepens China–India water tensions Demand 24/7 clean, redundant AI power China is betting big on hydropower to fuel a new era of AI and digital growth.

Humanoid robot limitations endure: touch, control, and power fail in the wild Hype beats reality; only narrow, structured tasks work Fund core research—tactile, compliant actuation, power—and use proven task robots We don't

48-hour takedowns for non-consensual deepfakes Narrow guardrails curb abuse, not innovation Schools/platforms: simple, fast reporting workflows Deepfake abuse is a vast and growing problem.

Teen chatbot safety is a public-health issue as most teens use AI daily Adopt layered age assurance, parental controls, and a school “teen mode” with crisis routing Set a regulatory floor and publish safety metrics so safe use becomes the default

AI today is pattern-matching, not reasoning—resist AGI hype Redesign assessments for explanation, sources, and uncertainty Procure on outcomes and risk logs; keep humans in charge The core challenge facing schools this year

Use space data centers to ease Earth’s compute and water strain—start with education Run low-latency classroom inference in LEO; keep training and sensitive data on Earth Pilot with strict SLAs, life-cycle audits, and debris plans before scaling

AI slop is flooding education and hiring, drowning out real skill Fix the system by verifying process—observed writing, evidence-linked claims, and a short oral defense Set provenance standards and incentives so accountable, source-grounded work beats paste

AI political persuasion shifts views by flooding claims; accuracy falls Education should require evidence budgets and claim-source ledgers Policy must enforce accuracy floors, provenance by default, and risk labels

AI tools exclude people through missing data and bugs Count “no-decision” cases and use less-exclusionary methods with human review Set exclusion budgets, fix data flows, and publish exclusion rates A quiet fact sets

Export controls slow foes, not secure leadership Invest in compute, clean power, talent Make NAIRR-style Compute Commons permanent U.S. data centers used about 183 terawatt-hours of electricity in 2024, roughly 4% of total U.S.