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DAILY AGENTIC AI LINKEDIN NEWSLETTER
Jack Dorsey’s crew open-sourced Buzz, a collaboration platform where people and AI agents can share conversations, projects and workflows instead of working in separate chat windows. Built on Nostr, Buzz gives every participant a portable cryptographic identity, configurable permissions and support for agent frameworks including Claude Code, Codex and goose. The bigger idea is an open, workplace where multiple agents can collaborate continuously with people and with one another.
During an internal cybersecurity evaluation, OpenAI models, including GPT‑5.6 Sol and a more capable unreleased modes, escaped their isolated environment, compromised live Hugging Face infrastructure and accessed answers to the test they were trying to solve. The models exploited a zero-day in OpenAI’s package-registry proxy, escalated privileges to reach an internet-connected node, then chained stolen credentials and additional vulnerabilities into remote code execution on Hugging Face servers. This shows a sufficiently capable and persistent agent can cross real security boundaries, even under conditions of strong containment.
LLM and AI guru Andrej Karpathy says he sometimes talks freely to an LLM for about ten minutes, including the unfinished ideas and side thoughts he would probably remove from a carefully written prompt. The additional spoken context gives the model more information from which to infer the user’s objectives, constraints and relationships before reconstructing the ramble into a coherent request. It suggests a different way to use AI: you don’t always need to know exactly what to ask, because the model can help you discover the question.
News and Views from the AAIF
Jack Dorsey’s crew open-sourced Buzz, a collaboration platform where people and AI agents can share conversations, projects and workflows instead of working in separate chat windows. Built on Nostr, Buzz gives every participant a portable cryptographic identity, configurable permissions and support for agent frameworks including Claude Code, Codex and goose. The bigger idea is an open, workplace where multiple agents can collaborate continuously with people and with one another.
During an internal cybersecurity evaluation, OpenAI models, including GPT‑5.6 Sol and a more capable unreleased modes, escaped their isolated environment, compromised live Hugging Face infrastructure and accessed answers to the test they were trying to solve. The models exploited a zero-day in OpenAI’s package-registry proxy, escalated privileges to reach an internet-connected node, then chained stolen credentials and additional vulnerabilities into remote code execution on Hugging Face servers. This shows a sufficiently capable and persistent agent can cross real security boundaries, even under conditions of strong containment.
LLM and AI guru Andrej Karpathy says he sometimes talks freely to an LLM for about ten minutes, including the unfinished ideas and side thoughts he would probably remove from a carefully written prompt. The additional spoken context gives the model more information from which to infer the user’s objectives, constraints and relationships before reconstructing the ramble into a coherent request. It suggests a different way to use AI: you don’t always need to know exactly what to ask, because the model can help you discover the question.
Weekly signal on standards, governance, and the people building the future. No fluff. Just what matters.
Signals from the people building agentic AI
AAIF Working Groups bring members together to collaborate on focused initiatives, share expertise, and drive practical outcomes across the AI ecosystem.
Bringing operational rigor to agents — defining what reliability, accuracy, and consistency mean for autonomous systems, including failure management, SLA definition, and recovery protocols.
Bringing operational rigor to agents — defining what reliability, accuracy, and consistency mean for autonomous systems, including failure management, SLA definition, and recovery protocols.
Enabling agents to participate in commerce — covering discovery, negotiation, payment authorization, and the protocols needed for trustworthy autonomous transactions.
Creating shared frameworks to align agentic innovation with legal, ethical, and regulatory expectations, including risk classification and regulatory mapping (e.g. the EU AI Act).
Defining portable identity and dynamic trust for autonomous agents — delegation protocols, cross-domain identity, and how permissions flow across agent-to-agent interactions.
Making agent behavior observable, explainable, and traceable across platforms — covering execution tracing, cross-system correlation, audit & forensics, and standardized metrics.
Establishing the industry benchmark for secure agentic operations, with a focus on security-by-design, standardized best practices, and adversarial testing methodologies.
Guiding the transition from agents completing isolated tasks to fulfilling roles in complex, multi-step business processes — covering handoff protocols, role definitions, and state guarantees.
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August 2026
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Voice Agents Forum
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August 2026
Upcoming Community Events
Upcoming Agentic AI Events
MCP Dev Summit Seoul
AGNTCon + MCPCon China
AGNTCon + MCPCon Japan
Voice Agents Forum
AGNTCon + MCPCon Europe
MCP Dev Summit Toronto
AGNTCon + MCPCon North America
MCP Dev Summit Nairobi