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A professional asks the community for real-world experiences with 'Agentic AI' tools, questioning whether they provide productive automation or are a waste of money.
Article reports on a Beijing AI conference where top experts from the US and China expressed alarm over the risks of advanced AI and called for international cooperation to mitigate cybersecurity and systemic dangers, drawing parallels to Cold War nuclear coordination.
LangChain is sponsoring VB Transform 2026, a conference on agentic AI orchestration, taking place July 14-15 at Hotel Nia in Menlo Park. Use discount code VBLangChain20 for registration.
A Twitter thread lists the 10 fastest-growing repositories on GitHub in June 2025, covering AI workspaces, token compression, agent prompt optimization, video generation, voice cloning, stock analysis, research agents, and more.
This paper presents Agentic-LTPO, a nested bilevel optimization framework that uses agentic AI to adapt physical layer configurations under dynamic operator policies, achieving 57.2% long-term performance improvement in cell-free MIMO beamforming.
RIFT-Bench is a new benchmark methodology for dynamically red-teaming agentic AI systems, using a graph representation to unify security evaluations across diverse architectures and enabling automated discovery and scanning of vulnerabilities.
NVIDIA launches the BioNeMo Agent Toolkit, an open toolkit that enables AI agents to perform tasks like protein structure prediction, molecular docking, and generative chemistry, accelerating programmable biology in collaboration with Arc Institute.
Speculates that earbuds with a tiny camera powered by a smartphone are the ideal hardware form factor for agentic AI, offering subtlety and natural interaction unlike smart glasses.
NVIDIA announces new AI agents and tools for telecom operations, including synthetic data generation and secure agent runtimes, showcased at DTW Ignite 2026. The platform aims to enable autonomous networks by combining domain-specific models, privacy-safe synthetic data, and policy-based guardrails.
Anthropic is extending its Cowork agentic system to mobile apps, with evidence of cloud-based execution to remove the need for a desktop machine to remain awake, along with groundwork for a voice model refresh.
The article discusses the rise of 'loops' in AI agentic systems, where agents continuously prompt other agents to perform tasks, as a major step beyond simple agent use. Boris Cherny of Claude Code endorses this approach at Meta's @Scale conference.
A discussion on the most significant unsolved problem in Agentic AI that has not yet attracted much attention.
NVIDIA announces its Vera CPU will power new supercomputers at Los Alamos National Laboratory, delivering significant performance improvements for agentic AI simulations and scientific workloads.
PhoneBuddy combines real and mock app environments to train open models for agentic phone use, achieving 45.33% task success rate on real phones through mixed reinforcement learning, showing that mock-app training complements real-app training.
A new protocol called Agentic Resource Discovery (ARD), backed by Google, Microsoft, Cisco, Nvidia, and Salesforce, aims to standardize how AI agents discover and use tools and services across enterprise systems, enabling agents to autonomously find and query resources from different silos.
Amazon's VP Eric Brandwine critiques human-in-the-loop AI governance, arguing that humans are inconsistent and prone to normalization of deviance, making them unreliable for repeated approval decisions in agentic systems.
Z.ai (formerly Zhipu AI) has released GLM-5.2, a 744-billion parameter Mixture-of-Experts AI model designed for agentic tasks like autonomous software engineering, with a 1-million token context window, low moderation, and trained on domestic Huawei Ascend chips.
A 2025 graduate at a Big 4 consulting firm expresses concern about whether AI and agentic AI are hype or a real threat to jobs, seeking grounded advice on the actual market impact.
This paper proposes AgenticRei, a framework for runtime governance of LLM-driven agentic AI systems using deontic policies expressed in OWL, enabling obligations, dispensations, and conflict resolution beyond traditional policy engines.
The article raises concerns about the long-term impact of AI-generated content polluting the internet, making it difficult to verify authenticity and grounding in reality, with severe consequences for future AI-governed systems.