Worth Reading 091126


Recognizing that AI is a bubble requires one to apply the right test to the right companies and that requires one to understand the fundamental nature of the bubble in question.

 


Based on the insights from those articles, we now shift attention to which parts of the Internet Route Registry (IRR) landscape can – or cannot – be replaced safely with information from the Resource Public Key Infrastructure (RPKI) system.

 


While many faults manifest as crashes or exceptions, others are far more subtle to identify. Silent data corruptions (SDCs), also known as silent data errors or silent errors, are violations of data integrity that occur without immediate, observable, and explicit indications.

 


Aligning intended learning outcomes, assessments, and teaching practices with the realities of AI-assisted programming.

 


AI is transforming the role of the junior developer. But as routine tasks become increasingly automated, how will the next generation of software engineers master the craft of maintaining complex systems?

Posted in WORTH READING

Worth Reading 090926


Information is not meaningful simply because it exists or because it is improbable. It becomes meaningful only if there exists a system that can interpret it and use it to perform a function.

 


At first glance, asking whether Internet Exchange Points (IXPs) make the Internet faster may seem almost provocative at a peering forum. Surely the answer is simply ‘yes’?

 


If you’re dealing with industrial protocols, you’ll certainly have seen Modbus packets in your network. But what are these packets used for, and what data do they contain?

 


Yet I have become increasingly concerned that, in the case of IPv6, we are evaluating the technology almost entirely from the perspective of what it allows networks to do, while giving insufficient attention to what it may allow network operators, corporations and governments to do to their users and if the benefits outweigh the risks.

 


The future of fast food was supposed to look something like this: walk into a restaurant, place an order, and watch a robot assemble your pizza with machine-like precision.

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Worth Reading 090126


The central question is therefore not whether AI should be regulated. It should. The question is what happens when regulation itself becomes a bottleneck to technological progress.

 


Does AI increase or reduce technical debt? Join Johna Johnson and John Burke as they discuss how to make strategy in environments in which AI fuels untrammeled growth in enterprise complexity–but also points the way to automated optimization (and concomitant technical debt reduction).

 


Red Hat published a benchmark analysis on June 15, 2026, that puts numbers behind a question occupying many IT departments.

 


Recent industry momentum behind open AI models reflects a growing recognition that openness is essential for accelerating innovation, broadening participation, and strengthening the global AI ecosystem.

 


In this episode of PING, APNIC Chief Scientist Geoff Huston and I discuss how the DNS behaves during a ‘cold start’, when a resolver’s cache contains no data from previous queries.

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Worth Reading 082926


The term “content delivery network” reflects the technology’s original value proposition.

 


Sam Altman released ChatGPT for free in late 2022. Many users fell in love both with it and Altman’s argument that artificial general intelligence could be achieved through scaling. T

 


If you work around data centers and high-density builds, you have probably heard the term “Multi-Core Fiber” thrown around.

 


Ask yourself these questions, assuming you have a serious medical condition and your doctors are going to be using GenAI to scan your images and test results to discover the breadth and depth of your condition and to recommend treatment.

 


Maybe adoption is low not because people don’t believe DNSSEC is useful, but because turning it on and keeping it on is still genuinely harder than it should be.

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Hedge 316: AI Governance

Deploying AI for AI Ops, or even just for general use in your network, is very simple–but we often forget that these kinds of new technologies need to be governed. From privacy through cost, operators need to decide how to govern their AI deployments to control costs, ensure accuracy, measure productivity, and make certain these systems are being used effectively. Colin Cosgrove joins Russ and Tom to look at AI governance.
 

 
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This episode was published with a link to the wrong audio file. I’ve updated it to the corrected filed.

Posted in AUDIO, HEDGE