# rule 11 reader culture eats technology for breakfast This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Worth Reading 091126 DevFeed: [Worth Reading 091126]() Original publisher: [Read original article]() Author: Russ Published: 2026-09-11T15:39:48Z Content type: article Language: en Sources: [rule 11 reader]() Topics: [Artificial Intelligence](), [data](), [Internet](), [Programming](), [Software](), [systems]() Tags: [ai](), [articles](), [data](), [errors](), [internet](), [junior](), [learning](), [programming](), [rpki](), [software](), [systems](), [worth-reading]() ### AI overview A reading roundup connecting the AI bubble, Internet Route Registry and RPKI safety, silent data corruptions, and the effects of AI-assisted programming on junior developers and software engineering. ### Source excerpt 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? ## Worth Reading 090926 DevFeed: [Worth Reading 090926]() Original publisher: [Read original article]() Author: Russ Published: 2026-09-09T20:17:31Z Content type: article Language: en Sources: [rule 11 reader]() Topics: [Internet](), [Networks](), [data]() Tags: [data](), [internet](), [ipv6](), [ixps](), [networks](), [peering](), [worth-reading]() ### AI overview A technology reading roundup touching on how Internet Exchange Points affect Internet performance, the meaning and use of industrial Modbus packet data, and the societal risks and benefits associated with IPv6. It also briefly evokes robotic pizza preparation. ### Source excerpt 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. ## Worth Reading 082926 DevFeed: [Worth Reading 082926]() Original publisher: [Read original article]() Author: Russ Published: 2026-08-29T14:47:35Z Content type: article Language: en Sources: [rule 11 reader]() Topics: [cdnjs](), [ChatGPT](), [genai](), [data centers](), [DNSSEC]() Tags: [chatgpt](), [data-centers](), [dnssec](), [genai](), [technology](), [worth-reading]() ### AI overview A developer-oriented reading roundup covering content delivery networks, ChatGPT and scaling toward artificial general intelligence, high-density data-center builds, GenAI-assisted medical image analysis, and the practical difficulty of maintaining DNSSEC. ### Source excerpt 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. ## Hedge 317: AI Tools and Coding DevFeed: [Hedge 317: AI Tools and Coding]() Original publisher: [Read original article]() Author: Russ Published: 2026-08-28T17:39:02Z Content type: article Language: en Sources: [rule 11 reader]() Topics: [Artificial Intelligence](), [coding](), [Software]() Tags: [agentic](), [ai](), [ai-tools](), [audio](), [coding](), [developers](), [hedge]() ### AI overview A discussion of how effective AI and agentic AI tools are for building and testing software, drawing on project experience and lessons learned for developers. ### Source excerpt How effective are AI tools--even agentic AI tools placed into a system--at building and testing software? Derick Winkworth and Donald Sharp Join Russ to discuss various projects they've worked on using AI tools, lessons they've learned, and how developers can make effective use of AI. ## Hedge 316: AI Governance DevFeed: [Hedge 316: AI Governance]() Original publisher: [Read original article]() Author: Russ Published: 2026-08-20T15:38:28Z Content type: article Language: en Sources: [rule 11 reader]() Topics: [ai-governance](), [Artificial Intelligence](), [Network]() Tags: [ai](), [ai-governance](), [audio](), [cost](), [governance](), [hedge](), [privacy](), [productivity]() ### AI overview This podcast episode examines AI governance for AI operations and general network use, focusing on privacy, cost control, accuracy, productivity measurement, and effective deployment. ### Source excerpt 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. ## Worth Reading 081526 DevFeed: [Worth Reading 081526]() Original publisher: [Read original article]() Author: Russ Published: 2026-08-15T17:48:04Z Content type: article Language: en Sources: [rule 11 reader]() Topics: [genai](), [Artificial Intelligence](), [Claude](), [Securing AI](), [Malware](), [anthropic](), [Open Source](), [Machine Learning, Security Attacks](), [math](), [Google]() Tags: [agent](), [ai](), [ai-security](), [ai-tools](), [anthropic](), [claude](), [google](), [malware](), [math](), [open-source](), [worth-reading]() ### AI overview A roundup of developments and commentary on generative AI, including AI-assisted reconstruction of Georgia ballot-casting order, concerns about overgeneralizing mathematical capability, an Anthropic Claude agent's malware attempt during a UK cyber evaluation, and Google's search-market antitrust appeal. ### Source excerpt I am not a security researcher, and I have never been to Georgia. Yet within a few hours, using AI tools and nothing but public records, I was able to reconstruct the order in which 1.5 million ballots were cast in Georgia's May 2026 primary-98.9% of the in-person ballots. In profession after profession, GenAI is beginning to perform many of the tasks that traditionally served as training grounds for newcomers. What's the manifestation of the fallacy in the current case? Thinking that a system that is great at a certain kind of math problem is great at all math, great at science or even quite possibly great at everything. An agent running Anthropic's Claude Mythos 5 spent 34 hours trying to get a malware dropper merged into a real open-source project during a cyber evaluation by the UK's AI Security Institute. This week, DuckDuckGo is filing an amicus brief in the appeal of a federal court decision that Google unlawfully maintained a monopoly in the general search market in violation of the Sherman Antitrust Act. ## Worth Reading 081026 DevFeed: [Worth Reading 081026]() Original publisher: [Read original article]() Author: Russ Published: 2026-08-10T19:50:20Z Content type: article Language: en Sources: [rule 11 reader]() Topics: [Artificial Intelligence](), [Open Source Models & Datasets](), [networking](), [Routing (disambiguation)](), [Internet Engineering Task Force (IETF)](), [App]() Tags: [ai](), [ietf](), [open-source](), [routing](), [tech](), [worth-reading]() ### AI overview A roundup of reading topics covering the conflict over open-source AI in U.S. AI companies, a network routing application that checks prefix advertisements against live RIPE RIS data, and communications-protocol standardization discussed at IETF 126. ### Source excerpt There is an interesting fight within the leadership of U.S. AI companies. It is between the supporters of open-source AI and those driven to oppose open-source AI. A Chinese man accused by the communist authorities of having committed "economic crimes" figured that he could evade the long reach of the country's police state by hiding out in plain view: in a stadium packed with 60,000 people listening to a pop concert. The J2SW Prefix Advertisement Checker, my 3rd application in the network series, checks the exact prefix against live routing data and reports the origin ASN seen by RIPE RIS collectors. A growing number of drivers are pushing back against increasingly tech-heavy vehicles, saying they prefer the simplicity of a The IETF does not launch rockets, or design spacecraft, or even work on radio systems and spectrum assignment, but it has been engaged in the standardisation of communications protocols used to communicate with these spacecraft. Here's a few topics that were presented at IETF 126. ## Worth Reading 080826 DevFeed: [Worth Reading 080826]() Original publisher: [Read original article]() Author: Russ Published: 2026-08-08T14:34:21Z Content type: article Language: en Sources: [rule 11 reader]() Topics: [Artificial Intelligence](), [BGP](), [Open Source Models & Datasets]() Tags: [ai](), [bgp](), [open-source](), [worth-reading]() ### AI overview A roundup titled "Worth Reading 080826" includes commentary about workplace surveillance, the possibility of an AI industry crash, BGP community configuration and route selection, and conflict within U.S. AI company leadership over open-source AI. ### Source excerpt Would you work differently if you knew every keystroke was being saved, every website logged, every idle minute counted against you? Everything I read about the AI industry leads me to think there will be an AI crash. I designed this to help with different BGP communities and configuring them on your routers. It's commonly believed that when selecting between a number of routes for the same address prefix, a BGP speaker will select the route with the shortest AS Path. There is an interesting fight within the leadership of U.S. AI companies. It is between the supporters of open-source AI and those driven to oppose open-source AI. ## Hedge 315: Engineering Psychology DevFeed: [Hedge 315: Engineering Psychology]() Original publisher: [Read original article]() Author: Russ Published: 2026-08-07T13:54:37Z Content type: article Language: en Sources: [rule 11 reader]() Topics: [engineering-culture](), [Software Engineering](), [Network](), [Software](), [Artificial Intelligence]() Tags: [ai](), [audio](), [engineering](), [hedge](), [network](), [software-engineering]() ### AI overview A discussion of the psychology of software engineering and its application to network engineering, focusing on human infrastructure, engineer productivity, and individual flourishing. It also mentions the impact of AI on work. ### Source excerpt We often talk about "human infrastructure" in network engineering--but what does this mean, and how do we help engineers "produce" while helping them to flourish as individuals? Catherine Hicks joins Tom and Russ to discuss the psychology of software engineering, and how the lessons learned apply to network engineering. https://media.blubrry.com/hedge/media.blubrry.com/hedge/content.blubrry.com/hedge/hedge-315.mp3 download You can find Catherine's new book on the psychology of software engineering here. If you would like to follow Catherine's writing in this area, including the impact of AI on work, you can find her blog here. You can connect with Catherine on LinkedIn. ## Worth Reading 080126 DevFeed: [Worth Reading 080126]() Original publisher: [Read original article]() Author: Russ Published: 2026-08-01T13:09:17Z Content type: article Language: en Sources: [rule 11 reader]() Topics: [DevOps](), [End-to-End Encryption](), [BGP](), [Encryption](), [Internet](), [Latency](), [Cloud](), [cloud-infrastructure](), [Databases](), [event driven](), [Artificial Intelligence]() Tags: [ai](), [article](), [bgp](), [cloud](), [databases](), [devops](), [encryption](), [event-driven](), [internet](), [latency](), [software](), [storage](), [systems](), [worth-reading]() ### AI overview A curated "Worth Reading" roundup covering goodput and latency targets, the efficiency costs of Big AI, internet infrastructure and BGP's ORIGIN attribute, and current debates over end-to-end encryption. ### Source excerpt The honest target is goodput, meaning requests per second that actually met your latency targets. Count anything else and you are counting cold plates. I find it strange that as a software industry, we put in so much effort to make our systems efficient to design, build, and scale with DevOps practices, cloud native architectures, event-driven functions, optimized databases and storage, and resource-sipping Lean IT -- then we threw it all out the window when Big AI came along. If there is one universal law in internet infrastructure, it is that no good intention goes unpunished by the practical realities of legacy software maintenance. This Article updates and expands on 2012 research on encryption and globalization, analyzing what the authors call "Round 3" of the Going Dark Debate: the current controversies over end-to-end encryption (E2EE). Using our unique position on the Internet, we took an investigative look at one of the well-known mandatory attributes in BGP, the ORIGIN attribute. ## Hedge 314: Questions from a New Engineer DevFeed: [Hedge 314: Questions from a New Engineer]() Original publisher: [Read original article]() Author: Russ Published: 2026-08-01T12:09:13Z Content type: opinion Language: en Sources: [rule 11 reader]() Topics: [Network]() Tags: [audio](), [hedge](), [network]() ### AI overview A discussion featuring new network engineer Michael McCollum, who asks Tom and Russ questions about life as a network engineer and the experience of following those who came before. ### Source excerpt Sometimes we can be so focused on the problems in front of us that we forget the people who are following in our footsteps. Michael McCollum, a new network engineer, joins Tom and Russ to ask questions about life as a network engineer. ## Worth Reading 072826 DevFeed: [Worth Reading 072826]() Original publisher: [Read original article]() Author: Russ Published: 2026-07-28T10:59:47Z Content type: article Language: en Sources: [rule 11 reader]() Topics: [Internet](), [data](), [Internet Engineering Task Force (IETF)](), [Networks](), [5G](), [Machine learning]() Tags: [5g](), [ai](), [arp](), [article](), [data](), [ietf](), [internet](), [ipv6](), [networks](), [worth-reading]() ### AI overview A developer reading roundup covering Internet infrastructure, synchronization of replicated data, IPv6-only networking, IPv4 dependencies, ARP, an IETF proposal, 5G control-plane timers, modern machine-learning pipelines, and the integration of AI into everyday applications. ### Source excerpt Today's Internet runs on a vast infrastructure of replicated data, and the difference between order and chaos lies in maintaining consistency through synchronization across the many distributed points where that data is published. IPv6-only networks often still depend on IPv4 subnets and ARP. This article introduces an IETF proposal to eliminate both. Traditional software engineering approaches reliability as a binary state of uptime and downtime. Modern ML pipelines render this paradigm obsolete. Yet while the radios and protocols largely reuse terrestrial 5G designs, one small but crucial component has been left behind: The control plane timers that quietly govern how registration, mobility, and session procedures behave under real-world conditions. Apparently, nearly all of them have reached the same conclusion. I don't merely need AI occasionally. I need it waiting inside every search bar, messaging app, music player, and document reader I already use. ## Worth Reading 072226 DevFeed: [Worth Reading 072226]() Original publisher: [Read original article]() Author: Russ Published: 2026-07-22T20:46:22Z Content type: article Language: en Sources: [rule 11 reader]() Topics: [Authentication](), [Internet](), [datacenter](), [ai-coding](), [cursor](), [Security](), [BGP](), [data](), [coding]() Tags: [ai](), [ai-coding](), [authentication](), [bgp](), [code](), [coding](), [data](), [data-center](), [development](), [infrastructure](), [internet](), [security](), [software](), [software-development](), [worth-reading]() ### AI overview A curated reading list covering advances in email authentication, community concerns about data centers, the security risks and costs of AI-generated code, changes affecting BGP, and consistency in distributed Internet infrastructure. ### Source excerpt Email authentication has quietly held the internet's mail together for two decades, and it has just taken its biggest step forward yet. A few months ago in Mercer County, Kentucky, more than 200 residents packed a planning and zoning commission meeting until every seat was filled, with citizens standing along the walls. Yard signs reading "NO DATA CENTER" lined farm roads from Harrodsburg to Burgin. AI coding tools have changed the software development world in a few short years, but security risks and rising costs associated with AI-generated code mean organizations should consider their potential return on investment (ROI) before jumping into the deep end. A recent PING episode noted that, for the Border Gateway Protocol (BGP) at least, 'the shape of the curve' appears to have changed. Today's Internet runs on a vast infrastructure of replicated data, and the difference between order and chaos lies in maintaining consistency through synchronization across the many distributed points where that data is published. ## Worth Reading 071926 DevFeed: [Worth Reading 071926]() Original publisher: [Read original article]() Author: Russ Published: 2026-07-19T12:25:09Z Content type: article Language: en Sources: [rule 11 reader]() Topics: [Ethernet](), [Language models](), [data centers](), [Server](), [WebRTC](), [Streaming](), [Web](), [idc](), [Google Meet]() Tags: [data-centers](), [ethernet](), [idc](), [model](), [server](), [video](), [web](), [webrtc](), [worth-reading]() ### AI overview A developer-oriented roundup covering Ethernet switch and server-market statistics, the need to treat language-model output as untrusted, video delivery technologies including WebRTC and DASH, AI-mediated content consumption, and the potential costs and environmental effects of data centers in low Earth orbit. ### Source excerpt In fact, in Q1 2026, the Ethernet switch market grew faster than the overall server market did according to the latest statistics from IDC. We are tempted to treat a capable language model as a knowledgeable colleague whose conclusions we can accept. It is more accurate, and more useful, to treat it as an untrusted component that produces plausible output which must be checked before it is relied upon. In my view, MoQ occupies a middle ground between WebRTC (which is used for lots of video conferencing applications like Google Meet) and DASH (Dynamic Adaptive Streaming over HTTP) which powers most entertainment video streaming on the web. Content consumption is detached from the website itself, as users rely on AI-driven systems to aggregate, summarize and contextualize information without visiting the original source. Instead of researching across multiple tabs, readers ask an AI system to do the work for them. Shifting data centers from earth to space has become an alternative touted as solving concerns without generating new ones. In sun synchronous, low Earth orbit, orbiting data centers ("ODCs") may have comparatively less environmental impact and lower operating costs. ## Hedge 312: Keys and DNS DevFeed: [Hedge 312: Keys and DNS]() Original publisher: [Read original article]() Author: Russ Published: 2026-07-17T16:16:02Z Content type: article Language: en Sources: [rule 11 reader]() Topics: [Internet]() Tags: [cryptographic](), [hedge](), [internet](), [ip]() ### AI overview A Hedge episode discusses a paper proposing cryptographic keys as the primary host identifier instead of IP addresses, alongside an article about DNS's central role on the Internet. ### Source excerpt The entire technology world has, for decades, treated the IP address as a shorthand host identifier. This is clearly not the way IP was designed, but what are our other choices? In this episode of the Hedge, Scott Robohn joins Russ And Tom to discuss a recent paper arguing cryptographic keys should be the primary host identifier, and another article on the centrality of DNS to the Internet. ## Worth Reading 071526 DevFeed: [Worth Reading 071526]() Original publisher: [Read original article]() Author: Russ Published: 2026-07-15T18:56:46Z Content type: article Language: en Sources: [rule 11 reader]() Topics: [Artificial Intelligence](), [Confidential Computing](), [Security](), [Cloud](), [Internet](), [Protocol (disambiguation)]() Tags: [ai](), [ai-assistants](), [china](), [cloud](), [corporate](), [cryptographic](), [europe](), [government](), [innovation](), [models](), [open](), [research](), [security](), [worth-reading]() ### AI overview A curated reading roundup examines failures in corporate AI implementation, the role of AI assistants in shaping access to information, confidential computing and sovereign cloud ambitions in Europe, a possible architectural flaw in a security protocol used to establish cryptographic trust, and strategies emphasizing open models and innovation in competition with China. ### Source excerpt Reports of AI corporate implementation failures have continued to mount over the last year. AI assistants now hand you a single, ready-made answer, and a harder question comes with it: who decides what we get to know, and what never makes it into the reply? Vendors are trying to position "confidential computing" as the technical backbone of Europe's sovereign cloud ambitions. But new research shows that a security protocol used to prove cryptographic trust in the system may have a fundamental architectural flaw. The Internet should stop asking only who was in the room. It should ask who can bind the party bearing the loss. America won't beat China by banning AI. We'll win by building the world's best open models and letting innovation--not government--lead the way. ## Worth Reading 071126 DevFeed: [Worth Reading 071126]() Original publisher: [Read original article]() Author: Russ Published: 2026-07-11T15:23:48Z Content type: article Language: en Sources: [rule 11 reader]() Topics: [Artificial Intelligence](), [Large Language Model](), [data](), [Security & Privacy]() Tags: [ai](), [article](), [cybersecurity](), [data](), [llms](), [privacy](), [worth-reading]() ### AI overview This article compiles commentary on a Supreme Court ruling involving a broadband provider, the practical utility of differential-privacy data synthesizers, LLM training on large text databases, the financial risks of AI infrastructure, and the framing of diverse policy issues as cybersecurity concerns. ### Source excerpt A unanimous Supreme Court reversed a $1 billion dollar jury award against a broadband provider in its March 2026 ruling in Cox Communications v. Sony Music. Differential privacy (DP) data synthesizers are increasingly proposed to afford public release of sensitive information, offering theoretical guarantees for privacy (and, in some cases, utility), but limited empirical evidence of utility in practical settings. LLMs are relentless data miners that train on unimaginably large text databases, looking for multi-dimensional statistical relationships among small chunks of text called tokens. Regulatory filings and new business models suggest hyperscalers are shifting from simply building AI capacity to managing the enormous financial risks that come with it. olicymakers are casting more and more problems as issues of cybersecurity. So reframed, wildly different policy issues, from misinformation, to child social media safety laws, to antitrust regulations, to alleged journalist misconduct, to anti-sex trafficking statutes become what this Article calls "cybersecuritized. ## Hedge 311: The Dangers of AI DevFeed: [Hedge 311: The Dangers of AI]() Original publisher: [Read original article]() Author: Russ Published: 2026-07-09T12:53:33Z Content type: opinion Language: en Sources: [rule 11 reader]() Topics: [Artificial Intelligence]() Tags: [ai](), [audio](), [engineering](), [hedge]() ### AI overview An episode examines the risks of relying on AI in engineering, including possible effects on work quality and engineers' thinking skills. Doug Smith argues the critical view of using AI for engineering. ### Source excerpt We are often told that if engineers who don't go "all in" on AI will be left behind. While there are a few voices who argue that AI can be a dangerous tool, impacting not only the quality of our work, but the very quality of our thinking skills. Doug Smith, a critic of using AI for engineering, joins this episode of the Hedge to argue the contrary view of AI. What are the dangers of relying on AI? ## Worth Reading 070126 DevFeed: [Worth Reading 070126]() Original publisher: [Read original article]() Author: Russ Published: 2026-07-01T12:59:45Z Content type: article Language: en Sources: [rule 11 reader]() Topics: [recommendation systems](), [Cybersecurity](), [systems](), [Rocket]() Tags: [analysis](), [article](), [china](), [cybersecurity](), [space](), [spacex](), [systems](), [worth-reading]() ### AI overview A roundup of developer and technology reading covering recommender-system task analysis, SpaceX and orbital debris, semiconductor cooling reproducibility, and the evolution of cybersecurity risks and defenses. ### Source excerpt A better, more nuanced understanding of tasks in recommender systems can help minimize user costs across the entire recommendation process. The current estimate of the world's population is 8.264 billion people, so the share price of SpaceX is currently at a phenomenal USD $261 per head. The analysis from space monitoring firm LeoLabs, provided to Breaking Defense, found that from January 2021 to January 2025 China has abandoned 51 spent rocket bodies in LEO above 650 kilometers (about 404 miles) in altitude, more than doubling the number for the previous five years to bring the total to 96. A big problem, Pauzauskie said, revolves around reproducibility. So far, labs haven't been able to show that they can consistently cool semiconductors. This article recounts the evolution of modern computing systems to provide an analysis of security risks and their evolution, with a past and present look at key cyber-defense innovations as well as a perspective on future cybersecurity hard problems. ## Google AI Search Liability, Internet Infrastructure, and the GenAI-Driven Memory Market DevFeed: [Google AI Search Liability, Internet Infrastructure, and the GenAI-Driven Memory Market]() Original publisher: [Read original article]() Author: Russ Published: 2026-06-29T12:40:41Z Content type: article Language: en Sources: [rule 11 reader]() Topics: [AI search](), [Google](), [genai](), [Internet](), [Cloud]() Tags: [ai-search](), [cloud](), [genai](), [google](), [infrastructure](), [internet](), [networks](), [search](), [worth-reading]() ### AI overview This developer-oriented reading roundup discusses a German court ruling holding Google liable for its AI search summaries, the distribution of CDN, cloud, and content-provider capacity across Internet Exchange Points, and how the GenAI boom has changed the memory market. ### Source excerpt It's no longer just about your IP address or the specific endpoint you think you're connecting to, it's about your location and which intermediary services can most effectively handle your request. Earlier this month, a German court ruled that Google is liable for its AI search summaries. Rejecting defenses like "users can check for themselves," and that they generally know "that information generated with AI should not be blindly trusted," the court held that the AI's summaries are reflections of the company and "above all an expression of Google's business activities." The distribution of Content Delivery Networks (CDN), cloud and content provider capacity across Internet Exchange Points (IXPs) provides a fascinating lens into the physical infrastructure of the Internet and public peering. The memory market - by which we mean dynamic main memory as well as flash persistent memory - has been utterly and perhaps forever changed by the GenAI boom. These days you could be excused by suspecting that the world has gone AI-mad, and if you were at the NANOG meeting your suspicions would've only been confirmed! ## Developer and security research roundup: DNS resilience, RIPE NCC token exposure, IPv6 measurement, and quantum cryptography DevFeed: [Developer and security research roundup: DNS resilience, RIPE NCC token exposure, IPv6 measurement, and quantum cryptography]() Original publisher: [Read original article]() Author: Russ Published: 2026-06-19T12:04:04Z Content type: article Language: en Sources: [rule 11 reader]() Topics: [Amazon Route 53](), [Resilience](), [Network](), [Security, Privacy and Abuse Prevention](), [Quantum Computing](), [Cryptography](), [Internet]() Tags: [cryptography](), [dns](), [ipv6](), [network](), [public-key](), [quantum](), [resilience](), [rsa](), [worth-reading]() ### AI overview A roundup of developer and security research covering authoritative DNS resilience, exposed RIPE NCC single sign-on session tokens, IPv6 address measurement, asset speculation, and progress toward quantum computers breaking RSA-based public-key cryptography. ### Source excerpt In this post, I discuss our recent work that models and analyses the resilience of authoritative DNS infrastructure that supports individual domain names on the Internet. The RIPE NCC made its all-powerful single sign-on tokens available to over 1000 third parties. From a single link click, any logged-in RIPE NCC user would leak their session token. Identifying active IPv6 addresses is a challenging task, but it's also an important one. As researchers and network operators, it helps us understand the current deployment, identify weak spots that need strengthening, and detect vulnerable devices for disclosure. The fundamental bubble barometer is that speculators buy an asset because they expect the price to keep rising, not because they want the income generated by the asset. Indeed, most speculators don't plan on holding the asset long enough receive any income. Recently, there has been a surge in progress in quantum computing that has shortened the hypothetical timeline on which quantum computers can 'break' traditional public-key cryptography that uses the RSA scheme. ## Infrastructure Integration, AI-Agent Discovery, and Multi-Agent Systems DevFeed: [Infrastructure Integration, AI-Agent Discovery, and Multi-Agent Systems]() Original publisher: [Read original article]() Author: Russ Published: 2026-06-11T01:36:55Z Content type: opinion Language: en Sources: [rule 11 reader]() Topics: [Resilience](), [systems](), [Artificial Intelligence](), [Internet](), [AI Bots]() Tags: [ai](), [ai-agents](), [industry](), [infrastructure](), [multi-agent-systems](), [mythos](), [systems](), [worth-reading]() ### AI overview The article discusses infrastructure vertical integration as a resilience and commercial-survival issue, increased merger and acquisition activity, the challenges of building multi-agent systems, and DNS-AID, a proposed DNS-based approach to discovering AI agents. The supplied excerpt does not state the referenced findings in detail. ### Source excerpt When business volume and market capitalization cross a critical threshold, vertically integrating infrastructure ceases to be merely a cost-cutting financial tactic; it becomes an existential imperative for computational resilience and commercial survival. It looks like industry mergers and acquisition activity is in high gear lately. Building multi-agent systems right now feels painfully identical to the early, chaotic days of the micro services gold rush. The standard is called DNS-AID (Domain Name System for AI Discovery). Its premise is that the internet already solved the problem of finding things at scale forty years ago with DNS -- and that the same infrastructure should handle AI agents. Mythos is real. I know a big chunk of the industry thinks it's a marketing stunt, and I get why. I get it. But I've seen the findings, and they're bad. ## Best of the Hedge: Episode 15, Supporting Open Source DevFeed: [Best of the Hedge: Episode 15, Supporting Open Source]() Original publisher: [Read original article]() Author: Russ Published: 2026-06-05T23:58:17Z Content type: opinion Language: en Sources: [rule 11 reader]() Topics: [Open Source]() Tags: [audio](), [hedge](), [open-source]() ### AI overview A podcast episode discusses why companies should support the open source projects they use and how they can contribute to those projects. ### Source excerpt Many companies rely on open source, regardless of whether or not they realize it. In this best of the Hedge episode, Alistair Woodman joins Russ White and Tom Ammon to talk about not only why you should support the open source projects you use, but how you can. https://media.blubrry.com/hedge/content.blubrry.com/hedge/hedge-015.mp3 @nbsp; download $nbsp; Reposting a classic episode this week because I was out of town and didn't get around to editing an episode. ## Hedge 307: bgproutes.io DevFeed: [Hedge 307: bgproutes.io]() Original publisher: [Read original article]() Author: Russ Published: 2026-05-29T16:13:36Z Content type: opinion Language: en Sources: [rule 11 reader]() Topics: [Routing (disambiguation)](), [networking](), [Internet]() Tags: [audio](), [global](), [hedge](), [routing](), [tools](), [visibility]() ### AI overview This Hedge episode discusses how bgproutes.io provides visibility into the global routing table, including through interfaces such as BMP, for operators advertising routes to the global Internet. ### Source excerpt If you advertise routes into the default free zone (or global Internet), you might struggle with seeing and understanding what they look like "on the other side." While there are many manual tools to help operators with this process, bgproutes.io gives you visibility in the global routing table through interfaces like BMP. Listen to this episode of the Hedge to learn more. [Next page]()