Unverified50% confidenceFactExact time
In the AI Engineer New York conference agenda, evaluation and verification is the second-largest topic cluster after agents, at close to 20 sessions, of which 6 have "trust" in their names.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/12/2026
First Seen
Valid until: 1/10/2027
Sources
Related Entities
Related Claims
UnverifiedAmong the roughly 140 agenda items at the AI Engineer New York conference, two-fifths of the sessions have "agent" in their names, indicating that the conference is themed around agents.75% similarUnverifiedWhen using AI advice, one should follow the "trust but verify" principle, treating AI as a starting point for research and verifying critical information through official channels69% similarUnverifiedA creator with 10 years of AI research experience, a GitHub tutorial repository with a cumulative 83K stars, and a newsletter with over 40,000 subscribers found through research that the biggest pain point for developers using AI programming is the issue of trust.69% similarUnverifiedWhen the U.S. Congress convened AI experts to testify in 2023, witnesses from academia, large technology companies, and startups gave significantly divergent risk assessments and policy recommendations.69% similarUnverifiedA paper co-authored by multiple collaborators assesses the evidence that automation of AI R&D could trigger an "intelligence explosion" that is extremely high-risk and difficult to control, and offers policy recommendations.68% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1011159API
curl https://kongchang.com/api/v1/knowledge/claims/1011159MCP
get_claim(id=1011159)