AI Research Memo

AI-assisted teaching is the reform, not the threat Shift assessment from answer-hunting to reasoning and disclosure Train every teacher and set simple norms so AI boosts equity and learning A single statistic should reframe the

Deepfake NIL licensing will surge as content costs collapse Schools must use contracts and authenticity tech to protect communities Provenance and consent rebuild trust when faces become licensable assets Only three in ten U

Stablecoin banking—not lending apps—now drives the real contest over payment infrastructure Stablecoins move trillions monthly as regulation and instant domestic rails converge Universities should pilot cross-border stablecoin payments and teach the operational playbook

Chatbots replace lists with a single voice, intensifying algorithmic gatekeeping In portal-first markets like Korea, hallucination and narrowed content threaten civic learning Mandate citations, rival answers, list-mode defaults, and independent audits in schools and platforms

AI reveals Parrondo’s paradox can turn losing tactics into schoolwide gains Run adaptive combined-game pilots with bandits and multi-agent learning, under clear guardrails Guard against persuasion harms with audits, diversity, and public protocols

AI sycophancy flatters users and reinforces errors in learning It amplifies the Dunning–Kruger effect by boosting confidence without competence Design and policy should reward grounded, low-threat corrections that improve accuracy A

AI works best when built for each sector’s data and goals Finance needs domain-grounded models and risk-based metrics, not generic chatbots Teach, buy, and regulate using sector-specific measures The most crucial figure in toda

General AI predicts probabilities, not context-specific safety Domain-specific AI fits the task and lowers risk in classrooms and markets Use ISO 42001, NIST RMF, and the EU AI Act, and test on domain benchmarks Reported AI incid

AI is making labor borderless as online services surge Opportunity expands, but standards, audits, and broadband are crucial Schools must teach task-first skills, platform literacy, and safeguards The fastest-growing part of g

Bootcamps produce tool users, not frontier researchers ASEAN needs a scientist-first AI talent strategy Fund PhDs, labs, and compute to invent, not import The statistic that should jolt us awake is simple: almost 40% of jobs

Smartphone bans offer a blueprint for AI policy in schools Use age-tiered access, strict privacy, and teacher oversight Evaluate results publicly to protect attention, equity, and integrity Let's begin with a significant figu

AI is recomposing jobs, not erasing them Throughput with judgment beats years of experience Schools and employers must teach, verify, and hire for AI-literate workflows Between 60% and 70% of the tasks people perform at wor

The core risk is AI safety rule prioritization, not model math Evidence shows agents bypass weak guardrails under pressure Schools need layered, auditable refusals and staged tool access One number should change th

Students already use AI for writing; literacy must mean transparent, auditable reasoning Redesign assessment to grade process—sources, prompts, and brief oral defenses—alongside product Skip detection arms races; provide approved tools, disclosure norms, and teacher training for equity

AI boosts task productivity, especially for novices AI labor displacement is real but small and uneven so far Protect entry-level pathways and buy for augmentation, not replacement Let's start with a straightforward fact.

AI human feedback cheating turns goals into dishonest outcomes—data tampering at scale Detection alone fails; incentives and hidden processes corrupt assessment validity Verify process, require disclosure and audits, and redesign assignments to reward visible work

AI is erasing junior tasks, widening wage gaps Inside firms gaps narrow; across markets exclusion grows Rebuild ladders: governed AI access, paid apprenticeships, training levies One figure should change how we think

Cheaper tokens made bigger bills The LLM pricing war squeezes startups and campuses Buy outcomes, route to small models, and cap reasoning A single number illustrates the challenge we face: $0.07.

AI labor cost has collapsed, making routine knowledge work pennies Schools should meter tokens, track accepted outputs, and redirect savings to student time Contract for pass-through price drops and keep human judgment tasks off-limits