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Harvard professor Graham Allison warns that the US-Iran conflict is characterized by extreme strategic uncertainty and driven largely by Netanyahu's long-standing obsession with destroying the Iranian regime, risking a chaotic regime change quagmire despite extraordinary American military success.
Escalating conflict with Iran drives oil prices toward $120/barrel and renews focus on U.S. nuclear energy independence, while the AI sector faces infrastructure headwinds as Oracle and OpenAI scrap a major Texas data center expansion and Anthropic sues the Defense Department over a supply chain risk designation.
The UN Security Council convened to address Afghanistan's deteriorating human rights situation, condemning the Taliban's institutionalization of gender apartheid through new penal codes while warning that regional conflicts with Pakistan, critical humanitarian funding shortages, and Afghanistan's international isolation threaten regional stability.
BlackRock's freeze on $26 billion in fund withdrawals signals severe liquidity stress across financial markets, as rising interest rates have trapped bank capital and frozen $30-40 trillion in home equity, requiring significant rate cuts to restore money flow.
Transportation Secretary Sean Duffy and other officials unveiled plans for the Freedom 250 Grand Prix, an IndyCar race around Washington DC's National Mall on August 22-23, 2025, as part of America's 250th anniversary celebrations.
UK Chancellor Rachel Reeves announced Treasury funding for military operations in the Middle East via the Special Reserve while addressing Parliament on economic safeguards against rising oil prices and energy costs amid Iran tensions.
Percy Liang reflects on AI's transformation from academic curiosity to global infrastructure, debunking sci-fi misconceptions about capabilities while arguing that academia's role in long-term research and critical evaluation remains essential as the job market shifts away from traditional entry-level software engineering.
This lecture examines AI's economic impact through the lens of supply chains and organizational strategy, demonstrating why understanding compute monopolies, labor market shifts, and corporate decision-making is as critical as tracking algorithmic capabilities.
This lecture argues that AI developers bear unique ethical responsibility for societal outcomes, framing AI as a dual-use technology that requires active steering toward beneficial applications while preventing misuse and accidental harms through rigorous auditing and an ecosystem-aware approach.
This lecture introduces modern language models as industrial-scale systems requiring millions of dollars and trillions of tokens to train, explaining their fundamental operation as auto-regressive next-token predictors that encode language structure through massive statistical modeling.
This lecture introduces First Order Logic as a powerful extension of propositional logic that uses objects, predicates, functions, and quantifiers to compactly represent complex relationships and generalizations without enumerating every possible instance.
This lecture introduces logic as a formal language for knowledge representation and reasoning, contrasting it with probabilistic methods and natural language. It establishes the foundational framework of syntax, semantics, and inference rules, then dives into propositional logic's mechanics including formulas, models, and interpretation functions.