REVIEW 2 cited by
Agents Are Not Enough
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
read the original abstract
In the midst of the growing integration of Artificial Intelligence (AI) into various aspects of our lives, agents are experiencing a resurgence. These autonomous programs that act on behalf of humans are neither new nor exclusive to the mainstream AI movement. By exploring past incarnations of agents, we can understand what has been done previously, what worked, and more importantly, what did not pan out and why. This understanding lets us to examine what distinguishes the current focus on agents. While generative AI is appealing, this technology alone is insufficient to make new generations of agents more successful. To make the current wave of agents effective and sustainable, we envision an ecosystem that includes not only agents but also Sims, which represent user preferences and behaviors, as well as Assistants, which directly interact with the user and coordinate the execution of user tasks with the help of the agents.
Forward citations
Cited by 2 Pith papers
-
Agentic Workflows for Conversational Human-AI Interaction Design
A four-cycle design study found that agentic workflows with contextualization, goal formulation, and prompt articulation help users and designers manage ambiguity and transience in conversational AI.
-
Language Games as the Pathway to Artificial Superhuman Intelligence
A position paper arguing that open-ended language games with fluid roles, varied rewards, and evolving rules can drive expanded data reproduction and thus a path to artificial superhuman intelligence.
Discussion (0). Continue with ORCID to comment.