AIAcademy realm

Science And Research

Research literacy, benchmarks, interpretability, discovery, and scientific method.

49 chapters · 178 lessons · 172 structured sources. Source types include research paper, government export-control document, federal legislation, research position paper.

3 direct Practice Lab projects use Policy note, Evaluation sheet, Paper club brief.

Learner pathways

• I build with AI
• I want frontier updates

Practice

• Write a frontier update brief · Policy note · 25 minutes
• Maintain a model capability watchlist · Evaluation sheet · 25 minutes
• Lead a scaffolded frontier paper club brief · Paper club brief · 30 minutes

Chapters

• What's hot in research right now (2026)
  AI Foundations · Where the field is right now · 4 lessons
• Why the old benchmarks died
  AI Foundations · Benchmark literacy after MMLU · 3 lessons
• The new spine
  AI Foundations · Benchmark literacy after MMLU · 4 lessons
• Reward hacking benchmarks
  AI Foundations · Benchmark literacy after MMLU · 3 lessons
• How to read a model card honestly
  AI Foundations · Benchmark literacy after MMLU · 3 lessons
• Research with AI
  AI for Everyday Life · AI for school, study, and learning · 4 lessons
• Drafting
  AI for Work · Writing & communication · 5 lessons
• Email and messaging
  AI for Work · Writing & communication · 4 lessons
• Documents and reports
  AI for Work · Writing & communication · 4 lessons
• Quick research
  AI for Work · Research, analysis, and decisions · 4 lessons
• Data analysis without being a data scientist
  AI for Work · Research, analysis, and decisions · 4 lessons
• Decision support
  AI for Work · Research, analysis, and decisions · 4 lessons
• Coding without engineering training
  AI for Work · Code & technical work (light tier) · 4 lessons
• Coding agents you'll meet
  AI for Work · Code & technical work (light tier) · 4 lessons
• Pre-meeting
  AI for Work · Meetings & collaboration · 4 lessons
• During and after
  AI for Work · Meetings & collaboration · 3 lessons
• Multi-language and inclusive teams
  AI for Work · Meetings & collaboration · 4 lessons
• What an agent is, at work
  AI for Work · AI agents at work · 3 lessons
• Agents you'll bump into
  AI for Work · AI agents at work · 4 lessons
• Working with agents
  AI for Work · AI agents at work · 4 lessons
• Agent reliability today
  AI for Work · AI agents at work · 3 lessons
• Your company's rules
  AI for Work · Workplace policy, ethics, and disclosure · 3 lessons
• Personal disclosure
  AI for Work · Workplace policy, ethics, and disclosure · 3 lessons
• Will my job change?
  AI for Work · Workplace policy, ethics, and disclosure · 4 lessons
• Burnout, dependence, and balance
  AI for Work · Workplace policy, ethics, and disclosure · 3 lessons
• How reasoning models work
  Frontiers · Reasoning models, deeply · 5 lessons
• Math, science, and proof
  Frontiers · Reasoning models, deeply · 5 lessons
• Open questions in reasoning
  Frontiers · Reasoning models, deeply · 3 lessons
• Where interpretability is now
  Frontiers · Mechanistic interpretability frontier · 3 lessons
• Probing affect and persona
  Frontiers · Mechanistic interpretability frontier · 4 lessons
• Open questions in interpretability
  Frontiers · Mechanistic interpretability frontier · 3 lessons
• Where agents are now
  Frontiers · Computer-using agents and long-horizon work · 4 lessons
• Where they fail
  Frontiers · Computer-using agents and long-horizon work · 3 lessons
• Open questions in agents
  Frontiers · Computer-using agents and long-horizon work · 3 lessons
• Generation
  Frontiers · Multimodal and world-model frontier · 3 lessons
• World models and embodiment
  Frontiers · Multimodal and world-model frontier · 5 lessons
• Open questions in multimodal
  Frontiers · Multimodal and world-model frontier · 3 lessons
• Capability questions
  Frontiers · Open questions, mid-2026 · 4 lessons
• Safety questions
  Frontiers · Open questions, mid-2026 · 4 lessons
• Geopolitics and access
  Frontiers · Open questions, mid-2026 · 4 lessons
• Society and you
  Frontiers · Open questions, mid-2026 · 3 lessons
• METR Time Horizon 1.1
  Frontiers · Long-horizon autonomy · 4 lessons
• Orchestration patterns
  Frontiers · Long-horizon autonomy · 4 lessons
• Multi-agent systems
  Frontiers · Long-horizon autonomy · 3 lessons
• Humans in the loop
  Frontiers · Long-horizon autonomy · 3 lessons
• Genie 3 to Genie 4
  Frontiers · World models and embodied AI · 4 lessons
• Wayve, Tesla FSD, robotaxi commercialization
  Frontiers · World models and embodied AI · 3 lessons
• Humanoid foundation models
  Frontiers · World models and embodied AI · 3 lessons
• What physical AI means in 2027
  Frontiers · World models and embodied AI · 3 lessons