AI agents 7
- A whistleblowing channel for AI agents changes nothing unless someone or something in the environment acts on the reports.
- Interacting AI agents or algorithms risk pushing each other into a Black-Monday-style cascading failure.
Rohit Krishnan
Writes Strange Loop Canon, on the intersection of technology, economics and business.
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What Rohit Krishnan says most about
AI alignment 7
- An agent's inbuilt values will not overcome its KPIs.
- If intelligence is multifaceted rather than scalar, it is open to question whether superintelligence capable of global extinction or mass catastrophe will arise.
LLMs 5
- AI models are gullible enough that other AI models can induce them into harmful behavior.
- Most AI lab revenue comes from non-frontier models, where cheaper comparable alternatives already exist elsewhere.
behavioural science 3
- Most advice people give is shaped by survivorship bias and cannot be reliably generalized to others.
- Group committees tend to flatten distinctive or unconventional viewpoints into blander, more conventional output.
design 2
- Audit independence is a property of the surrounding system and its evidence flows, not an inherent property of the auditing model itself.
- Aligning multi-agent AI systems is fundamentally a problem of institutional and political design, not model training.