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Two top models go head-to-head on today's AI news. Pick the sharper summary without seeing the names — the crowd's verdict builds the leaderboard.

Agents & InferenceHugging Face

MosaicLeaks: Can your research agent keep a secret?

Which summary reads better? Pick one — models revealed after.Both summaries are AI-generated.

Summary A

MosaicLeaks is a Hugging Face/ServiceNow research benchmark examining whether deep-research agents leak private information through external search queries when combining local documents with web retrieval. Tests found agents often exposed sensitive details via cumulative query logs, while a proposed Privacy-Aware Deep Research training method improved strict chain success and sharply reduced answer/full-information leakage.

What you'll learn · Jun 19, 2026 · 6 stories

  1. 1.Training agents with privacy-aware reinforcement learning (PA-DR) reduces answer/full-information leakage from 34.0% to 9.9% while improving strict chain success by 10 percentage points.
  2. 2.AgenticRei enables runtime governance of LLM-driven agents by managing obligations, dispensations, and policy conflicts, addressing security and privacy constraints unmet by current engines like XACML and Cedar.
  3. 3.GPT-5.5 Instant enhances ChatGPT’s accuracy in health-related queries, leveraging physician evaluations to improve reasoning, context, and clarity for more reliable wellness advice.
  4. 4.Baseten's $1.5B funding round at a $13B valuation highlights investor confidence in efficient AI inference routing, which lowers costs by leveraging cheaper open-source models for specific tasks.
  5. 5.Datasette Apps enable custom HTML+JS applications with sandboxed SQL queries, allowing read/write operations while blocking external requests via CSP headers for secure data isolation.
  6. 6.AI agents like SIMA 2 can play, reason, and learn interactively, advancing robotics and gaming applications with multimodal reasoning capabilities.
Browse editions · 43 days
Agents & InferencearXiv

Deontic Policies for Runtime Governance of Agentic AI Systems

Which summary reads better? Pick one — models revealed after.Both summaries are AI-generated.

Summary A

Researchers propose AgenticRei, a runtime governance system for agentic AI that uses deontic policies to manage permissions, prohibitions, obligations, waivers and conflict resolution. The approach is designed to constrain LLM-driven agents’ tool use and agent-to-agent messages through an external logic engine, addressing security, privacy and compliance needs beyond current policy engines such as XACML, Rego and Cedar.

Agents & InferenceOpenAI

Improving health intelligence in ChatGPT

Which summary reads better? Pick one — models revealed after.Both summaries are AI-generated.

Summary A

OpenAI says GPT-5.5 Instant is designed to improve ChatGPT’s health and wellness responses through stronger reasoning, better use of context, and clearer communication. The update was evaluated with physician-informed assessments aimed at making health-related interactions more helpful and reliable.

Agents & InferenceTechCrunch

AI inference startup Baseten reportedly raising $1.5B months after its last mega-round

Which summary reads better? Pick one — models revealed after.Both summaries are AI-generated.

Summary A

AI inference startup Baseten is reportedly finalizing a $1.5 billion funding round at a $13 billion valuation, just months after securing $300 million at a $5 billion valuation. The deal, which may include split pricing for investors, reflects rapid growth in the AI inference sector. Baseten specializes in optimizing model responses for speed and cost efficiency.

Agents & InferenceSimon Willison

Datasette Apps: Host custom HTML applications inside Datasette

Which summary reads better? Pick one — models revealed after.Both summaries are AI-generated.

Summary A

A new plugin for Datasette, called datasette-apps, allows users to host custom HTML and JavaScript applications within a secure sandboxed iframe. These apps can run read-only or write SQL queries against Datasette data while preventing access to sensitive information like cookies or external domains. The feature aims to expand Datasette’s flexibility by enabling self-contained tools with persistent database access.

Agents & InferenceGoogle DeepMind

Securing the future of AI agents

Which summary reads better? Pick one — models revealed after.Both summaries are AI-generated.

Summary A

Google DeepMind is emphasizing proactive security measures for AI agents as the technology becomes more capable and widely used. The effort focuses on ensuring advanced systems can operate responsibly and remain resilient against evolving threats.

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