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#agenticai

19 posts19 participants0 posts today
Public
Beth Pariseau

This week's #ITOps Query #podcast guest, Austin Parker, was among the original founding members of the #OpenTelemetry project and remains a core contributor, as well as a member of the project's #CNCF governance board. He explores the multiple intersections between the maturing #opensource #observability standard and emerging AI technology, what's on the project's roadmap and shares his own experiences using #generativeAI to develop apps. #GenAI #OSS #o11y
#agenticAI

podbean.com/ew/pb-dvqps-186d3c

www.podbean.comOpenTelemetry in the age of AIThe rise of generative and agentic AI is also OpenTelemetry's moment to shine – in an increasingly non-deterministic world, there's a lot to be said for a standard means of collecting telemetry data about system behavior. However, it can be difficult to get a consensus on everything, especially developers' preferences about instrumenting code. This week's guest, Austin Parker, was among the original founding members of the OpenTelemetry project and remains a core contributor, as well as a member of the project's governance board. He explores the multiple intersections between the maturing open source observability standard and emerging AI technology, what's on the project's roadmap and shares his own experiences using generative AI to develop apps.
Public
Sarah Lea

What is an agent?
That’s what Day 3 of Kaggle’s Gen AI Challenge is all about.

:blobcoffee: An agent is a system that observes its environment, plans actions, uses tools like APIs, functions, or data stores, and acts autonomously to achieve a goal – often over multiple steps (see whitepaper from Google below).

The cognitive architecture of an agent consists of three essential components:
🧠 a model (like a language model),
🔧 tools (like APIs or functions), and
🎯 an orchestration layer that coordinates reasoning and action.

You can build such agents using tools like LangChain and LangGraph.

The full whitepaper from course day 3: kaggle.com/whitepaper-agents

www.kaggle.comAgentsAuthors: Julia Wiesinger, Patrick Marlow and Vladimir Vuskovic
#agenticAI#genai#GenerativeAI
Public
Nishant Kaushik

The insatiable hunger to feed #LLMs and #AI is parasitically draining the commons and public internet. Bandwidth costs are spiking as crawlers take data for training and information. For Wikipedia, the lack of attribution means no visitors, no donors, just cost. The #ethics of AI are failing here.

I saw Tim Karr on bluesky suggest that AIs should pay fees or a tax (should that be tariffs?) into a fund that supports public content. Services like Cloudflare and Fastly that defend against bots are evolving for crawlers. In #identity, the implications for #AgenticAI, #AI, and #NHI are vast.

diff.wikimedia.org/2025/04/01/

Diff · How crawlers impact the operations of the Wikimedia projectsSince the beginning of 2024, the demand for the content created by the Wikimedia volunteer community – especially for the 144 million images, videos, and other files on Wikimedia Commons – has grow…
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