SEMANTIC-WORM: Studying Information Propagation Patterns in LLM-Based Agent Networks
Author(s): Antares Originally published on Towards AI. Abstract As LLM-based autonomous agents move from research prototypes into production workflows, understanding how information propagates through multi-agent systems becomes a critical safety concern. We introduce SEMANTIC-WORM -a controlled experimental framework for studying how semantic …
LLMs are not Stochastic Parrots— How Randomness Prevents Parroting, Not Causes It
Author(s): Antares Originally published on Towards AI. The term “stochastic parrots” — coined by Emily M. Bender, Timnit Gebru, Angelina McMillan-Major, and Margaret Mitchell in their 2021 FAccT paper “On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?” — …
Actual Status of AI Agents' Safety: In Short, Not Good
Author(s): Antares Originally published on Towards AI. As AI safety evangelists we are working hard to increase level of awareness of threats posed by current transformer based models. However rarely you can find study so comprehensive and illustrative. Picture is not pretty. …
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