Base Date 2026-11-03
Last Run 2026-11-03 21:00:25
S&P 500
7,569
NDX 100
28,180
VIX
20.82
US 10Y
4.95%
DXY
101.86
WTI
$96.60
Gold
$3,932
USD/KRW
1,344
SOX
10,599
Trump Approve
35.4%
S&P 500
7,569
NDX 100
28,180
VIX
20.82
US 10Y
4.95%
DXY
101.86
WTI
$96.60
Gold
$3,932
USD/KRW
1,344
SOX
10,599
Trump Approve
35.4%
← AI Leaders: Moves & Papers
Frontier labs

Alexandr Wang

Meta Superintelligence Labs Leader

Why we track: Meta AI organization and talent acquisition

Career moves

No published career moves.

Papers

Paper2026-06-10 · arXiv.org

Development of an Evaluation Method to Pinpoint Errors in AI Agents

Layer-Isolated Evaluation: Gating the Deterministic Scaffold of a Production LLM Agent with a No-LLM, Regression-Locked Test Harness
What
Researchers have developed an evaluation system that divides the structure of AI agents into multiple layers to independently and rapidly inspect errors in each layer.
Key result
They confirmed that even when the overall success rate barely changes, the score of a specific troubled layer drops significantly, enabling accurate identification of the root cause.
Why it matters
This can contribute to enhancing the stability of AI systems and quickly finding the cause when problems occur.AI summary
Paper2026-06-09 · arXiv.org

Analysis of Limitations in Conversational Agent Evaluation by LLM-as-Judge

Catching One in Five: LLM-as-Judge Blind Spots in Production Multi-Turn Transaction Agents
What
Using production food-ordering conversational agents, we measured how effectively LLM-based judges detect actual defects compared to comprehensive human inspection.
Key result
LLM judges failed to catch even a quarter of the systematic issues identified by humans, and in certain batches recorded zero detections.
Why it matters
This suggests that automated evaluation methods serve merely as a minimum baseline and cannot completely replace human review.AI summary

This page compiles published papers, official announcements and press reports for information only. Paper summaries are written by AI from the abstract and reviewed by the editor; they may differ from the original, so check the paper for anything important. Nothing here is a recommendation to buy or sell any security or investment advice. Career moves cite official announcements or major press reports; some career records come from Wikidata (CC0). Summaries on this page were translated by AI from the editor-reviewed Korean version.

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