AI bots often disregard evidence, raising concerns about their trustworthiness in scientific applications and research. This highlights a critical challenge in relying on AI for factual accuracy.
This content outlines the critical problem of unverified confidence in AI agents and proposes a three-component trust scoring system. The system verifies outputs against ground truth, tracks performance over time, and compares stated confidence with actual accuracy to penalize overconfidence.
This content introduces a conversation with Ronan Farrow about his deep-dive feature in The New Yorker concerning Sam Altman, OpenAI's CEO, and his trustworthiness. The host also strongly condemns the recent attacks on Altman's home, emphasizing the need for scrutiny on such violence.
Anthropic has released its new Claude Opus 4.8 model, touted for its "honesty" in flagging uncertainties and avoiding unsupported claims. The company states the new model is about 4 times less likely to jump to conclusions than its predecessor.
The author developed Mnemopay to assign persistent reputation scores (Agent FICO) to AI agents across sessions. This system enables agents to demonstrate trustworthiness and scale agent-to-agent payments by preventing cold-start penalties.
The rapid development of Language Diffusion Models (LDMs) introduces new trustworthiness challenges. TrustLDM is a comprehensive benchmark evaluating safety, privacy, and fairness in LDMs, revealing that their alignment behavior degrades noticeably with malicious contexts, regardless of context length.
The rise of autonomous LLM-based agents forming Agent-to-Agent (A2A) networks introduces systemic vulnerabilities despite improved task performance. This paper argues that trustworthiness in A2A networks must be architected from the outset, rather than retrofitted, to mitigate risks like adversarial composition and cascading failures.
Modelos de Linguagem Grandes (LLMs) têm feito avanços notáveis no raciocínio matemático, mas podem cometer erros de cálculo ou lógica. Mesmo quando as respostas finais estão corretas, os LLMs podem criar passos de raciocínio plausíveis, mas falhos, comprometendo a confiabilidade de seus processos.
The author announces the launch of Dispatch AI, a daily AI news brief that filters content based on a "trust check." The service aims to cut through hype and press releases by prioritizing primary sources, falsifiable claims, and cross-referencing.