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Artificial Intelligence / Machine Learning · 5

Automation / Agentic Systems · 5

Research Papers · 5

Embedded Systems · 5

Computer Systems · 5

Developer Tools / Open Source · 5

Cloud / Infrastructure · 4

Archived section

Artificial Intelligence / Machine Learning · 5

Artificial Intelligence / Machine Learning
arXiv8/18/2026
Recently

Can Large Language Models Explain Flight Safety Events? A Prior-Guided Semantic LLM-based Approach

Improving flight safety with flight data requires not only accurate detection of risk events, but more importantly, clear interpretation of their underlying causes at the level of pilot control behavior. Existing explainable AI techniques, such as feature importance maps, often require considerable domain knowledge to translate them into operationally meaningful explanations. Large Language Models (LLMs), which excel at language reasoning, bring a promising solution to this issue. Authors: Lu Xu, Xu Li, Linjiang Zheng.

Why it matters

Read this for the paper's specific claim in Artificial Intelligence / Machine Learning: Improving flight safety with flight data requires not only accurate detection of risk events, but more importantly, clear interpretation of their underlying causes at the level of pilot control behavior.

Primary paperarxivcs.AI
Original
Artificial Intelligence / Machine Learning
arXiv8/17/2026
Recently

HarnessEval-W: Agentifying the Evaluation of Visual Worlds

A benchmark should deliver more than a scalar score: what makes an evaluation trustworthy is the reasoning that justifies the score. This is especially critical for world models, where judging a rollout requires understanding whether physics, causality, and world state evolve correctly. Humans spot such violations naturally, yet no existing benchmark automates this capability: metrics are computed brute-force, leaving no reasoning chain that can be examined or verified. Authors: Weiliang Chen, Haowen Sun, Jun Gao.

Why it matters

Read this for the paper's specific claim in Artificial Intelligence / Machine Learning: A benchmark should deliver more than a scalar score: what makes an evaluation trustworthy is the reasoning that justifies the score.

Primary paperarxivcs.CV
Original
Artificial Intelligence / Machine Learning
arXiv8/17/2026
Recently

An Empirical Study of Training Pixel-Space Text-to-Image Diffusion Models

This paper investigates an increasingly important topic in generative modeling: pixel-space diffusion models. Although numerous studies have explored this topic, most focus on small-scale or class-conditional settings. Consequently, a practical recipe for training pixel-space models that rival or exceed well-established latent-space counterparts remains elusive. Authors: Dengyang Jiang, Ruoyi Du, Zhennan Chen.

Why it matters

Read this for the paper's specific claim in Artificial Intelligence / Machine Learning: investigates an increasingly important topic in generative modeling: pixel-space diffusion models.

Primary paperarxivcs.CV
Original
Artificial Intelligence / Machine Learning
arXiv8/17/2026
Recently

CaliBench: Are the Stochastic Dynamics of Video World Models Physically Calibrated?

Video world models approximate the stochastic distribution of physical outcomes through generative sampling, but existing benchmarks score individual generations or compare distributions coarsely over a whole dataset, leaving the fine-grained aleatoric uncertainty of specific phenomena untested. We introduce CaliBench, which scores outcomes in a physically interpretable discrete space - a bin index, a die face, a suit, a colour - rather than a learned feature space such as in FID, so the distance from a known reference distribution is measured directly. We curate outcome spaces whose reference is known in closed form (binomial Galton boards, Bernoulli forks, uniform dice/cards/lottery, a skewed European-roulette colour), enabling an exact calibration test. Authors: Jonathan Sadeghi, Jenny Seidenschwarz, Jesse Allardice.

Why it matters

Read this for the paper's specific claim in Artificial Intelligence / Machine Learning: Video world models approximate the stochastic distribution of physical outcomes through generative sampling, but existing benchmarks score individual generations or compare distributions coarsely over a whole dataset, leaving the fine-grained aleatoric uncertainty of specific phenomena untested.

Primary paperarxivcs.LG
Original
Artificial Intelligence / Machine Learning
NVIDIA Technical Blog8/17/2026
Recently

Developing Nemotron 3.5 Lightning NVFP4 with QAD Using NVIDIA Model Optimizer

Teams customize their models to hit their targets for latency, speed, memory, and compute. With the open NVIDIA Nemotron family of models, developers can find... Teams customize their models to hit their targets for latency, speed, memory, and compute.

Why it matters

Read this for the official technical update in Artificial Intelligence / Machine Learning: Teams customize their models to hit their targets for latency, speed, memory, and compute.

Official source
Original

Archived section

Automation / Agentic Systems · 5

Automation / Agentic Systems
arXiv8/18/2026
Recently

Deep Academic Survey: Stateful Agentic Closed-Loop Paradigm for Academic Survey Automation

Academic surveys play a central role in organizing rapidly expanding scholarly literature, yet their construction requires extensive paper analysis, coherent knowledge organization, fine-grained citation support, and reliable manuscript assembly. Existing Deep Research and automated survey generation systems address parts of this process, but typically do not coordinate paper understanding, literature organization, evidence-grounded drafting, and manuscript validation through a shared, revisable state. We introduce DAS, a stateful agentic framework for generating publication-oriented academic surveys. Authors: Zhikai Xu, Zhucun Xue, Teng Hu.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: Academic surveys play a central role in organizing rapidly expanding scholarly literature, yet their construction requires extensive paper analysis, coherent knowledge organization, fine-grained citation support, and reliable manuscript assembly.

Primary paperarxivcs.CV
Original
Automation / Agentic Systems
arXiv8/18/2026
Recently

Policy-Invariant Reward Shaping from LLM Feedback: A Framework for Hybrid RL Agents

Combining large language models with reinforcement learning is increasingly explored, yet the theoretical status of LLM-derived reward signals is often left implicit. We formalize the hybrid LLM-planner and RL-controller architecture as a Goal-Augmented Markov Decision Process and show that when the LLM per-state progress score is used as a bounded potential function, the resulting shaping term preserves the optimal policy set even when the LLM scores are inaccurate. This guarantee is stronger than what general LLM-as-reward approaches provide. Authors: Christophe D. Hounwanou, John Emeka Eze, Yaé U. Gaba.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: Combining large language models with reinforcement learning is increasingly explored, yet the theoretical status of LLM-derived reward signals is often left implicit.

Primary paperarxivcs.LG
Original
Automation / Agentic Systems
arXiv8/18/2026
Recently

EvoTS-Agent: A Self-Evolving LLM Agent for Financial Time Series Change Point Detection

Financial time series exhibit non-stationary and heterogeneous statistical properties, making change-point detection challenging because no single unsupervised algorithm performs consistently across assets and market regimes. Conventional workflows consequently depend heavily on expert-driven model selection, feature design, and hyperparameter tuning, limiting their scalability and adaptability. We propose EvoTS-Agent, a validation-guided self-evolving LLM agent for autonomous financial time-series change-point detection. Authors: Lei Jiang, Ye Wei, Xinyu Xi.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: Financial time series exhibit non-stationary and heterogeneous statistical properties, making change-point detection challenging because no single unsupervised algorithm performs consistently across assets and market regimes.

Primary paperarxivcs.AI
Original
Automation / Agentic Systems
arXiv8/18/2026
Recently

Delegation Asymmetry in Agentic Recommender Systems: Measuring Two-Sided Receptivity in Online Dating

Autonomous LLM agents that converse on a user's behalf are an emerging design pattern in matching platforms, yet their viability depends on a condition rarely examined: users must accept not only delegating conversation to an agent, but also receiving agent-mediated communication from others. We study this condition using two large-scale surveys of active users of a major dating platform (N=2,894 on generative profile features; N=2,617 on autonomous conversational agents, fielded in two languages). 92) but separable (Delta BIC=52), with partial measurement invariance across languages. Authors: Daria Leshchikova, Valentina V. Kuskova, Dmitry Zaytsev.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: Autonomous LLM agents that converse on a user's behalf are an emerging design pattern in matching platforms, yet their viability depends on a condition rarely examined: users must accept not only delegating conversation to an agent, but also receiving agent-mediated communication from others.

Primary paperarxivcs.AI
Original
Automation / Agentic Systems
GitHub Blog8/17/2026
Recently

How canvases make agentic workflows visible, steerable, and cost-efficient

Chat is great for intent, but agent work gets lost in the scroll. Here is how I use canvases with my agentic workflows—and why your workflow also deserves a canvas. The post How canvases make agentic workflows visible, steerable, and cost-efficient appeared first on The GitHub Blog.

Why it matters

Read this for the official technical update in Automation / Agentic Systems: Chat is great for intent, but agent work gets lost in the scroll.

Official sourceAI & MLGitHub Copilot
Original

Archived section

Research Papers · 5

Research Papers
arXiv8/17/2026
Recently

A Deployment-Oriented and Resource-Efficient Neuro-Symbolic Framework for Explainable DDoS Detection in Operational Technology Networks

Operational technology (OT) environments, including programmable logic controllers (PLCs), industrial control systems (ICS), and supervisory control and data acquisition (SCADA) systems, are increasingly targeted by distributed denial-of-service (DDoS) attacks. This paper presents a neuro-symbolic framework specifically designed for robust DDoS detection in these resource-constrained environments. The framework fuses a gated recurrent unit (GRU) neural network with a shallow decision tree as a symbolic component. Authors: Mikiyas Alemayehu, Mohamed Chahine Ghanem, Hamza Kheddar.

Why it matters

Read this for the paper's specific claim in Research Papers: Operational technology (OT) environments, including programmable logic controllers (PLCs), industrial control systems (ICS), and supervisory control and data acquisition (SCADA) systems, are increasingly targeted by distributed denial-of-service (DDoS) attacks.

Primary paperarxivcs.CR
Original
Research Papers
arXiv8/18/2026
Recently

COMA: A Compositional Misleading Attack Class on Security-RAG, and a Causal Counterfactual Defense

Every document a security copilot retrieves can be true, instruction-free, and non-contradictory --- and the copilot can still be driven to assess a critical, exploitable vulnerability correctly and then recommend a remediation that leaves it open. We study this failure in retrieval-augmented generation (RAG) backing analyst-facing copilots in Security Operations Centers, and identify a class of attacks, \emph\compmis (COMA), in which every adversarial document is factually correct, instruction-free, non-contradictory, and distributionally benign --- yet the answer is misled by their composition. We realize \compmis through action-corruption, which steers a correctly-diagnosed vulnerability toward an inferior remediation, and verdict-flip, which destabilizes the exploitability verdict via an undecidable reachability chain. Authors: Chinmay Gondhalekar, Urjitkumar Patel.

Why it matters

Read this for the paper's specific claim in Research Papers: Every document a security copilot retrieves can be true, instruction-free, and non-contradictory --- and the copilot can still be driven to assess a critical, exploitable vulnerability correctly and then recommend a remediation that leaves it open.

Primary paperarxivcs.CR
Original
Research Papers
arXiv8/18/2026
Recently

Colour Blinded by the Noise

Uncertainty visualisation is important for data transparency, especially for map visualisations where data is often aggregated. Despite the importance of this area, studies evaluating uncertainty visualisation lack consensus and produce conflicting results. This work introduces a new evaluation approach for uncertainty visualisation that attempts to assess uncertainty as noise, rather than signal. Authors: Harriet Mason, Rachel Rogers, Alison Kleffner.

Why it matters

Read this for the paper's specific claim in Research Papers: Uncertainty visualisation is important for data transparency, especially for map visualisations where data is often aggregated.

Primary paperarxivcs.HC
Original
Research Papers
arXiv8/17/2026
Recently

Prediction market visualizations, betting, and uncertainty: A study of Reddit Posts and Comments

Prediction market platforms present contracts about future events through visualizations that show probabilities, prices, trends, odds, and payout information. Although these visualizations often appear precise, they do not always show uncertainty directly. As a result, users infer uncertainty from market movement, visualization cues, and contextual information. Authors: Subham Sah, Alireza Karduni, Douglas Markant.

Why it matters

Read this for the paper's specific claim in Research Papers: Prediction market platforms present contracts about future events through visualizations that show probabilities, prices, trends, odds, and payout information.

Primary paperarxivcs.HC
Original
Research Papers
arXiv8/18/2026
Recently

Tail exponents of conditional guesswork via the method of types

d. random sequence given element-wise correlated side-information. We use type-counting to provide estimates of the tail probabilities of the number of guesses for the case without side-information, which was shown earlier through large-deviation techniques. Authors: Adway Girish, Andreina Patrizia Motter, Emre Telatar.

Why it matters

Read this for the paper's specific claim in Research Papers: random sequence given element-wise correlated side-information.

Primary paperarxivcs.IT
Original

Archived section

Embedded Systems · 5

Embedded Systems
arXiv8/18/2026
Recently

PRISM: Precision and contact-rich Real-world Industrial Skill dataset with Multimodal sensing

Recent progress in robotic learning has been fueled by large-scale datasets collected in everyday environments. However, most existing datasets emphasize short-horizon, low-contact tasks such as pick-and-place, and therefore do not capture the precision control, force/torque or tactile regulation, and multimodal feedback required for industrial assembly. To address this gap, we introduce PRISM, a large-scale multimodal dataset for contact-rich industrial operations. Authors: Tengbo Yu, Jiahao Wu, Hanning Wang.

Why it matters

Read this for the paper's specific claim in Embedded Systems: Recent progress in robotic learning has been fueled by large-scale datasets collected in everyday environments.

Primary paperarxivcs.RO
Original
Embedded Systems
Hackster.io8/18/2026
Recently

Sirojudin Munir Releases a Clever STMicro STM32-Powered FOC Motor Driver Under a Permissive License

Maker Sirojudin Munir has designed a new sensor or sensorless field-oriented control (FOC) driver for brushless DC (BLDC) motors — and made it available to all under a permissive license, hardware and firmware. "I like building things from scratch," Munir explains by way of introduction to the project, "and this time I decided to make a new version of my BLDC FOC driver. This project started as a redesign of my previous motor driver, with improvements to the hardware, current sensing, firmware, and communication system.

Why it matters

Read this for the engineering context in Embedded Systems: Maker Sirojudin Munir has designed a new sensor or sensorless field-oriented control (FOC) driver for brushless DC (BLDC) motors — and made it available to all under a permissive license, hardware and firmware.

Trusted source
Original
Embedded Systems
arXiv8/18/2026
Recently

Hydra-0: Action Flow for Generalist World Modeling and Control

We introduce Hydra-0, a generalist world model conditioned on action flow, which represents robot actions as pixel motion. This shared visual interface enables generalist world modeling and control by learning action consequences across embodiments, tasks, environments, and video-generation backbones. 2% lower object-motion error than our action-conditioned baseline, while supporting zero-shot composition and data-efficient adaptation. Authors: Hongyu Li, Bowen Wen, Xinghao Zhu.

Why it matters

Read this for the paper's specific claim in Embedded Systems: We introduce Hydra-0, a generalist world model conditioned on action flow, which represents robot actions as pixel motion.

Primary paperarxivcs.RO
Original
Embedded Systems
Hackaday8/19/2026
Recently

Simple DIY STM32 Oscilloscope Project

In part one of what is intended to be a series on developing an STM32-based oscilloscope, [BTTLab] demonstrates a how to use the built-in ADC of an STM32F207 MCU to …read more

Why it matters

Read this for the engineering context in Embedded Systems: In part one of what is intended to be a series on developing an STM32-based oscilloscope, [BTTLab] demonstrates a how to use the built-in ADC of an STM32F207 MCU to …read more

Trusted sourceMicrocontrollersTool Hacks
Original
Embedded Systems
Hackster.io8/17/2026
Recently

Agentic AI Is Coming for Your CPUs

For the past few years, the hardware story surrounding artificial intelligence (AI) has mostly been about GPUs. NVIDIA's accelerators became some of the hottest hardware on the planet, high-bandwidth memory followed them into short supply, and companies scrambled to build data centers capable of supplying enough power to keep everything running. CPUs, meanwhile, have received relatively little attention.

Why it matters

Read this for the engineering context in Embedded Systems: For the past few years, the hardware story surrounding artificial intelligence (AI) has mostly been about GPUs.

Trusted source
Original

Archived section

Computer Systems · 5

Computer Systems
arXiv8/17/2026
Recently

GoalEvolve: From Handcrafted Algorithm Priors to Goal-Driven Evolution of Physical Design Algorithms

Physical design algorithms operate within tightly coupled, multi-stage optimization flows, where stage-local gains may vanish or induce downstream degradation. Existing program-evolution frameworks often rely on stage-local objectives or undifferentiated multi-metric feedback, which neither guarantee better final results nor identify which unmet requirement should guide the next iteration. We present GoalEvolve, a goal-driven framework that makes physical design algorithm evolution accountable for the final quality of results (QoR) of the complete flow. Authors: Haixu Liu, Lei Zhou, Yuhao Ren.

Why it matters

Read this for the paper's specific claim in Computer Systems: Physical design algorithms operate within tightly coupled, multi-stage optimization flows, where stage-local gains may vanish or induce downstream degradation.

Primary paperarxivcs.AR
Original
Computer Systems
LWN.net8/17/2026
Recently

Bootstrappable builds: how and why

This year's edition of the Free and Open Source Software Yearly conference, better known as "FOSSY", moved north to the beautiful (and enormous) campus of the University of British Columbia (UBC) in Vancouver, Canada from its home for the three previous editions: Portland, Oregon, in the US. There were many different types of talks at FOSSY, from deeply technical kernel-track topics, through talks on legal and community issues, to the "FOSS in Daily Life" talks. In the "Toolchains and Other Development Tools" track, Timothy Sample gave a presentation about bootstrappable builds, which is somewhat less well-known than its cousin, reproducible builds, though LWN did look at the topic just over two years ago.

Why it matters

Read this for the concrete reporting in Computer Systems: This year's edition of the Free and Open Source Software Yearly conference, better known as "FOSSY", moved north to the beautiful (and enormous) campus of the University of British Columbia (UBC) in Vancouver, Canada from its home for the three previous editions: Portland, Oregon, in the US.

Trusted source
Original
Computer Systems
arXiv8/18/2026
Recently

Minimizing Commit Rules for DAG-based Atomic Broadcast

A popular class of Byzantine fault-tolerant atomic broadcast protocols rely on directed acyclic graphs (DAGs) that represent causal relations between broadcast messages. Each process applies a protocol-specific commit rule on its local DAG to determine which vertices can be delivered in a total order. Intuitively, commit rules that impose fewer conditions on the DAG to order its vertices imply more efficient protocols, as the broadcast messages are delivered with lower latency. Authors: Petr Kuznetsov, Maxence Perion, Sara Tucci-Piergiovanni.

Why it matters

Read this for the paper's specific claim in Computer Systems: A popular class of Byzantine fault-tolerant atomic broadcast protocols rely on directed acyclic graphs (DAGs) that represent causal relations between broadcast messages.

Primary paperarxivcs.DC
Original
Computer Systems
arXiv8/17/2026
Recently

HAPS through the Lens of Satellites and UAVs: A Function-Level Perspective on the Emerging High Altitude Economy

High-Altitude Platform Stations (HAPS) operate in the lower stratosphere at 17-27 km, between satellites and Unmanned Aerial Vehicles (UAVs). For this third tier the architectural case has long outpaced the flight evidence, but a wave of 2020-2026 stratospheric flights now permits a direct comparison. We evaluate HAPS function by function across sensing, navigation, and communication, taking operational satellite and UAV implementations as the reference. Authors: Mukhtiar Ahmad, Mohamed-Slim Alouini.

Why it matters

Read this for the paper's specific claim in Computer Systems: High-Altitude Platform Stations (HAPS) operate in the lower stratosphere at 17-27 km, between satellites and Unmanned Aerial Vehicles (UAVs).

Primary paperarxivcs.DC
Original
Computer Systems
arXiv8/18/2026
Recently

Multivalued Consensus: General Adversaries Require More Communication

We study n-party fault-tolerant consensus against general (non-threshold) adversaries. We describe an infinite family Z_\mathsfproj^n,d of Q^d-satisfying n-party adversary structures based on finite projective geometry which cause error-free R-round protocols for interactive consistency on L-bit inputs to require Ω(Ln^2+1/d) bits of expected communication. Likewise, Z_\mathsfproj^n,d causes error-free byzantine agreement and broadcast to cost Ω(Ln^1+1/d) bits. Authors: Mose Mizrahi, Roger Wattenhofer.

Why it matters

Read this for the paper's specific claim in Computer Systems: We study n-party fault-tolerant consensus against general (non-threshold) adversaries.

Primary paperarxivcs.DC
Original

Archived section

Developer Tools / Open Source · 5

Developer Tools / Open Source
Vercel Blog8/18/2026
Recently

Chat SDK adds Instagram adapter

Instagram adapter Bots can send and receive DMs and media, render cards as quick replies and link buttons, show typing indicators, receive reactions, and handle story replies. The adapter connects through Meta's Instagram Messaging API and requires a professional Business or Creator account. Messages are buffered, so streamed responses send as one message when the stream completes.

Why it matters

Read this for the official technical update in Developer Tools / Open Source: Instagram adapter Bots can send and receive DMs and media, render cards as quick replies and link buttons, show typing indicators, receive reactions, and handle story replies.

Official source
Original
Developer Tools / Open Source
arXiv8/18/2026
Recently

Too Sure to Be Safe: Model Calibration for Reliable Log Anomaly Detection

Online log anomaly detection is critical for maintaining the reliability of large-scale computing systems. Although recent language model-based log anomaly detectors achieve strong detection performance, their confidence estimates remain poorly calibrated. We show that these detectors frequently assign excessive confidence to incorrect predictions, particularly for anomalous logs under severe class imbalance. Authors: Bin Li, Dongdong Wang, Siyang Lu.

Why it matters

Read this for the paper's specific claim in Developer Tools / Open Source: Online log anomaly detection is critical for maintaining the reliability of large-scale computing systems.

Primary paperarxivcs.LG
Original
Developer Tools / Open Source
Docker Blog8/18/2026
Recently

17,600 Actions: Agent Security Is a Systems Problem

The OpenAI/Hugging Face incident exposed a new challenge for AI agent security. 17,600 attacker actions show why AI agent security can't rely on human review. Explore the controls needed to constrain, observe, and govern agents at speed.

Why it matters

Read this for the official technical update in Developer Tools / Open Source: The OpenAI/Hugging Face incident exposed a new challenge for AI agent security.

Official sourceCommunityCompany
Original
Developer Tools / Open Source
LWN.net8/18/2026
Recently

Fedora prepares for the end of AF_ALG

The Linux kernel's user-space interface (AF_ALG) to the Crypto API has been linked to a number of recent high-profile security problems, including Copy Fail and successor vulnerabilities. It was deprecated earlier this year. Eric Biggers, and other kernel developers, have been working to remove it from the kernel.

Why it matters

Read this for the concrete reporting in Developer Tools / Open Source: The Linux kernel's user-space interface (AF_ALG) to the Crypto API has been linked to a number of recent high-profile security problems, including Copy Fail and successor vulnerabilities.

Trusted source
Original
Developer Tools / Open Source
AWS Blog8/17/2026
Recently

AWS Weekly Roundup: EC2 application status checks, IAM role manager, OpenAI Daybreak on Bedrock, and more (August 17, 2026)

Last week, AWS contributors joined the OpenSearch and Valkey communities at Open Source Summit Korea 2026 and MCP DevSummit Seoul 2026 to meet open source developers and contributors. At the four-day event, community leaders and users of these Linux Foundation open source projects gathered to share knowledge, collaborate on solutions, and push the projects forward.

Why it matters

Read this for the official technical update in Developer Tools / Open Source: Last week, AWS contributors joined the OpenSearch and Valkey communities at Open Source Summit Korea 2026 and MCP DevSummit Seoul 2026 to meet open source developers and contributors.

Official sourceAmazon BedrockAmazon EC2
Original

Archived section

Cloud / Infrastructure · 4

Cloud / Infrastructure
AWS Architecture Blog8/18/2026
Recently

Consistency is the new latency: AI at the data layer

As AI agents move from chatbots to taking action, their reliability depends on the consistency of the data layer beneath them. This post examines how replication lag poisons an agent's context and shows how to match Amazon Aurora, Amazon DynamoDB, and Amazon Keyspaces replication models to each task's consistency requirements.

Why it matters

Read this for the official technical update in Cloud / Infrastructure: As AI agents move from chatbots to taking action, their reliability depends on the consistency of the data layer beneath them.

Official sourceAdvanced (300)Amazon Aurora
Original
Cloud / Infrastructure
CNCF Blog8/18/2026
Recently

Cloud Native platform sovereignty through multi-plane architecture

When people talk about cloud sovereignty, the conversation often starts with regions: where a workload runs and where its data is stored. But choosing a region is only part of the story. The architecture of the...

Why it matters

Read this for the official technical update in Cloud / Infrastructure: When people talk about cloud sovereignty, the conversation often starts with regions: where a workload runs and where its data is stored.

Official sourceBlog
Original
Cloud / Infrastructure
CNCF Blog8/19/2026
Recently

Kyverno is a platform primitive, not a security tool

Where does Kyverno live in your organization? I don't mean which cluster! On which team's slide deck does it show up?

Why it matters

Read this for the official technical update in Cloud / Infrastructure: Where does Kyverno live in your organization?

Official sourceBlog
Original
Cloud / Infrastructure
Cloudflare Blog8/18/2026
Recently

BGP Role model: tracking the adoption of RFC 9234

RFC 9234 lets routers reject route leaks on their own, using BGP Roles and the Only to Customer attribute. We measured who has deployed it, and found two Tier 1 networks unexpectedly stripping OTC.

Why it matters

Read this for the official technical update in Cloud / Infrastructure: RFC 9234 lets routers reject route leaks on their own, using BGP Roles and the Only to Customer attribute.

Official sourceBGPResearch
Original