SU-EE364A MAR032026
Last edited: March 3, 2026SU-EE364A MAR052026
Last edited: March 3, 2026SU-SOC175 MAR042026
Last edited: March 3, 2026How’s China Doing?
- overall: china’s growth is slowing
- property:
- despite government support, property prices still struggling
- falling demand => tighter financing => unfinished projects
- prices are going down—deflation!?
Involution (Neijuan)
- Dropping household wealth => more cautious purchasing.
- Young unemployment rate still elevated
Major Challenges
- demogratic change
- changing the growth model: state sector restructuring seems to have stopped
- shifting to more domestic demand driven by consumers
- changes in financial system—how can banks avoid over-lending
- changes in fiscal system (how to find sources of revenue)
- reducing corporate debt, LGFV debt, etc.
options are not great
- older model has had diminshing returns
- exports and trade surplus may not last
- more limited access to technologies and foreign direct investment
- high debt levels requires many years of debt logistics
- changes to population structure / aging limits consumptino and savings (so increasing domestic demand is hard)
- any fast shift to new growth model will bring a bit of depression
New Direction
- maintain: focus on investment driven by state industrial policy
- shift: investment from housing sector to optimized manufacturing (high tech)
- expand: manufacturing capacity overall—but efficiency
- double-down: on exports even if tariffs
ambitious and a huge gamble
agent security
Last edited: March 3, 2026Three layers of agent safety
- model architecture: fundamental limitations of transformer structure
- architecture -> LLMs: training data (poisoning), training objective (reward hacking)
- LLMs -> prompts: prompt injections, unintended actions, goal scheming
prompt injections
OWASP top 10 for LLM applications…. RAG/Agents are WORSE because humans do not have choice. Web agents, can browse the web and have context poisoning.
evaluation setup
- etiologic validity
- realistic threat models
- systematic evaluations (e.g., obviously anecdotal works)
- controlled environments
computer security principles
- confidentiality (don’t infiltrate passwords)
- integrity (don’t nuke important files)
- availability (don’t bring things down)
benign inputs leading to harms
- triggering compaction => failures
Unintentional behavior: “unsafe agent behavior that deviations from user intentions from a task”
