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#agenticai

7 posts7 participants0 posts today
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…
Public
Beth Pariseau

Excited to kick off Season 3 of my #ITOps Query #podcast with guest @mipsytipsy. Topics included #AIobservability, #observability -driven development, "Observability 2.0," and Majors' warning / call to action for SREs about the coming wave of #AIagents: "I don't want to see happen to #SRE what happened to QA 15 years ago." #o11y #agenticAI #softwaredevelopment

podbean.com/ew/pb-m2rkt-1854d3

www.podbean.comCharity Majors on AI observability and a call to action for SREsCharity Majors pioneered the term 'observability' as co-founder and CTO of Honeycomb.io, based on her experience building and managing distributed systems at Parse, Facebook, and Linden Lab building Second Life. She is the co-author of the O'Reilly books Observability Engineering and Database Reliability Engineering. Her Honeycomb bio adds that she "loves free speech, free software and single malt scotch." In this interview with Informa TechTarget senior news writer Beth Pariseau, Majors covers the interplay between AI and observability, "Observability 2.0," and urges site reliability engineers to lean into AI agents, even if they seem to be replacements.
Public
Thoughtworks

Keeping up with the pace of technology evolution is one thing—harnessing its full potential is another.

That's why this edition of Tech to Know dives into the big questions shaping business strategy:

💡 How do we balance cloud scalability with financial discipline?

🤖 What does agentic AI mean for business operations?

💻 Are coding assistants as transformative as they seem?

Read now: ter.li/164xwn

#AgenticAI#Coding#Cloud
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