This page shows the most relevant public items for Agentic AI, ranked by trend activity and review signal. Use weekly for fast changes, monthly for more stable patterns, and all-time for evergreen picks.
Blog • Jan 15, 2026 • Medium • Elena Rossi
The release of advanced reasoning models has completely shifted how developers build autonomous systems in early 2026. This post details how open weights models are replacing expensive proprietary ...
Paper • Dec 22, 2025 • arXiv • Percy Liang, Thomas K. V., Eleanor Rigby
Aligning multi-agent systems via traditional human feedback is intractable due to the sheer volume and speed of agent-to-agent interactions. We introduce a novel alignment framework utilizing Inver...
Paper • Nov 18, 2025 • arXiv • Ling Chen, David Wu, Yong Zhang
The migration of legacy codebases (e.g., COBOL, Fortran) to modern architectures is a notoriously slow, error-prone, and expensive human endeavor. We introduce 'AutoMigrate,' a persistent, multi-ag...
Blog • Aug 20, 2025 • Medium • ZeroDay_Scribe
When developers transition from chatbots to Agentic AI, they inevitably start handing out their AWS, Stripe, and GitHub API keys to autonomous models. This post serves as a terrifying wake-up call ...
Paper • Jul 28, 2025 • arXiv • Sarah Jenkins, Esq., Wei Chen, Marcus T. Holden
The legal discovery process involves manually cross-referencing millions of pages of depositions and emails to find logical contradictions. Standard search algorithms fail to connect multi-document...
Blog • Aug 5, 2025 • Medium • Mia T. Wong
In a quest for ultimate productivity, Mia Wong handed full read/write access of her personal calendar and email to an autonomous Agentic AI tasked with 'optimizing her time.' This hilarious and cau...
Paper • Oct 14, 2025 • arXiv • J. L. Martinez, Susan Athey, Alessandro V. Rossi
As the internet transitions to a machine-to-machine economy, Agentic AI systems frequently need to outsource sub-tasks (e.g., specialized data retrieval, proprietary compute) to external agents. Ho...
Blog • Sep 28, 2025 • Medium • Lucia Adams
The internet is flooded with platforms promising that 'anyone can build an AI agent without writing a single line of code.' Lucia Adams pushes back hard against this narrative, arguing that while n...
Paper • May 22, 2025 • arXiv • Wei Lin, Chen Wei, Yujin Han
One of the most persistent failure modes in autonomous Agentic AI is the 'Infinite Loop'—where an agent becomes stuck continuously re-executing a failed API call or repeating a flawed logical deduc...
Blog • Jul 29, 2025 • Medium • Mia T. Wong
Tired of useless chatbots that just link to FAQ pages, an engineering team set out to build an Agentic AI that could actually resolve customer issues. This technical case study walks through the ar...
Paper • Nov 26, 2025 • arXiv • Ling Chen, Song Han, Yonggan Fu
The deployment of personal Agentic AI assistants is severely hindered by the privacy risks associated with uploading sensitive personal data (e.g., financial records, private messages) to centraliz...
Blog • Jul 3, 2025 • Medium • Dr. Anya Petrova
The prevailing safety narrative in Agentic AI has been 'Human in the Loop' (HITL)—the idea that humans will always review an agent's work before execution. Dr. Petrova argues that in 2025, economic...
Paper • Jun 30, 2025 • arXiv • Alexander C. K., Wei Chen, Torsten Hoefler
Current Agentic AI frameworks rely on high-level Python libraries that awkwardly manage memory, context windows, and tool execution at the application layer. We propose Agent-OS, a novel operating ...
Blog • Nov 20, 2025 • Medium • Sarah Jenkins, Esq.
The traditional SaaS pricing model—charging per 'user seat' per month—is breaking down in the era of Agentic AI. When a single human employee can deploy 50 autonomous agents to execute workflows ac...
Paper • Oct 21, 2025 • arXiv • Thomas K. V., Yiming Zhang, Nils Bergmann
The integration of decentralized renewable energy sources and the massive power demands of AI datacenters have created unprecedented volatility in modern power grids. We introduce 'Energy Swarm', a...
Paper • Aug 12, 2025 • arXiv • Barr Moses, Jian Lu, Sophia M.
Data engineering teams spend the majority of their time fixing broken Extract, Transform, Load (ETL) pipelines caused by upstream schema changes or data drift. We introduce ADEPT (Autonomous Data E...
Paper • Apr 16, 2025 • arXiv • Yannick LeCun, Antoine Bordes, Elena Rossi, Marcus Thorne
The propensity of large language models to hallucinate facts severely limits their deployment in autonomous agentic workflows where verification is costly. This paper introduces 'Agentic Debate,' a...
Blog • Aug 8, 2025 • Medium • Barr Moses
The biggest bottleneck for enterprise Agentic AI isn't model reasoning or GPU limits; it's the catastrophic state of corporate data pipelines. Barr Moses argues that while simple chatbots can hallu...
Paper • Dec 1, 2025 • arXiv • Susan Athey, Michael I. Jordan
As Agentic AI systems are deployed to autonomously negotiate contracts, manage supply chains, and execute high-frequency trades, they form a complex, decentralized digital economy. This paper appli...
Blog • May 15, 2025 • Medium • David T. Sterling
The framework wars have settled, and enterprises are left with three dominant choices for building Agentic AI. Sterling provides a brutal, no-nonsense evaluation of LangChain's LangGraph, Microsoft...
It ranks public content for Agentic AI using recent discussion, review, and engagement signals so you can triage faster. This guidance is specific to Agentic AI topic page on Attendemia and is written so it still makes sense without reading other sections on the page.
Use weekly for fast-moving updates, monthly for stable trend confirmation, and all-time for evergreen references. This guidance is specific to Agentic AI topic page on Attendemia and is written so it still makes sense without reading other sections on the page.
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