Homelab & Self-Hosting
Security and Human-Centered Assessment of BACnet-Controlled DALI Infrastructure in an Educational Building Automation Testbed
arXiv:2606.17089v1 Announce Type: new Abstract: Building automation and control systems integrate heating, ventilation, air conditioning, lighting, sensing, and management functions through specialized communication protocols. While this integration enables flexible building operation, it also creates complex cyber-physical environments that are difficult to inspect, secure, and explain to new analysts. This paper presents a practical security and human-centered case study of a BACnet/IP bui...
Machine Learning
ZIVARI-TLBO: A Zero-Cost Inter-Group Evaluated-Elite Relay Mechanism for Teaching-Learning-Based Optimization
arXiv:2606.17087v1 Announce Type: new Abstract: ZIVARI-TLBO is a grouped Teaching-Learning-Based Optimization (TLBO) method that augments an existing population-state controller with a fixed inter-group evaluated-elite relay. At each scheduled event, every group offers its already evaluated elite to the next group in a fixed ring; the elite replaces the receiver's worst eligible learner only when its stored objective value is better. Because the exact relay copies an already evaluated soluti...
Robotics
ParkingTransformer: LLM-Enhanced End-to-End Trajectory Planning for Autonomous Parking
arXiv:2606.17082v1 Announce Type: new Abstract: End-to-end autonomous parking has emerged as a critical task within the realm of autonomous driving. However, existing methods suffer from black-box characteristics, lacking high-level semantic understanding and interpretability, which impedes the realization of seamless long-distance autonomous parking from the road to the target spot. To address these limitations, we propose ParkingTransformer, a novel framework that leverages multi-view perc...
AI Inference
The Price of Anarchy in Disaggregated Inference
arXiv:2606.17081v1 Announce Type: new Abstract: Disaggregated inference architectures physically separate prefill and decode phases onto distinct GPU pools, creating competing "agents" that share a fixed hardware budget. We provide, to our knowledge, the first formal game-theoretic analysis of this architecture, using NVIDIA Dynamo as a concrete case study. We model disaggregated serving as three coupled games: a two-player resource game between prefill and decode pools, a selfish caching ga...
Vector Databases
HRDX: A Large-Scale Vector HD-Map Dataset
arXiv:2606.17080v1 Announce Type: new Abstract: Reliable autonomous driving requires vectorized HD maps that are geometrically accurate, semantically rich, and scalable to long-horizon driving. However, existing public HD map datasets are limited in scale, provide sparse semantic attributes, and lack modalities such as aerial imagery that could enable new research directions. We present HRDX, a large-scale dataset for vector HD-map construction, spanning about 40 hours (1,400 km) of minimall...
AI Hardware
Surveying GenAI-based Automation in Printed Circuit Board Design and Test
arXiv:2606.17074v1 Announce Type: new Abstract: Generative artificial intelligence (GenAI) is increasingly used for applications in the hardware and software domains. It purports to reduce the manual effort involved in the development and testing of complex systems before release. Within the hardware space, most tasks have focused on design automation of integrated circuits, particularly with hardware description languages. However, other types of hardware also exist! In this survey, we inst...
Robotics
Extracting Semantics: LLM-Guided Automatic Population of Robot Ontology from URDF
arXiv:2606.17073v1 Announce Type: new Abstract: While commonsense knowledge may suffice for virtual agents, embodied robots interacting with humans require grounded and semantically rich representations of both their environment and their own physical embodiment. In cognitive robotics, ontologies are effective for integrating such heterogeneous knowledge to enable explainable reasoning, even during continuous knowledge updates. Yet, their manual construction remains a bottleneck. We present ...
Caching Strategies
Towards Distributed Inference of LLMs on a P2P Network
arXiv:2606.17059v1 Announce Type: new Abstract: Prefix caching can reduce LLM inference latency by reusing KV caches across requests with shared prompts, but cluster-scale reuse is challenging because caches are partitioned across nodes. We propose a decentralized, prefix-cache-aware routing scheme for peer-to-peer LLM serving. Each node maintains a local radix tree of its own cached prefixes and asynchronously refreshed estimates of peer caches using periodic anti-entropy. Requests are rout...
AI Inference
Evaluating LLM Coding Agents on SZ-Family Lossy Compression Across Architectures
arXiv:2606.17058v1 Announce Type: new Abstract: Large language model (LLM) coding agents are increasingly applied to code translation and optimization, yet their effectiveness in performance-critical high-performance computing (HPC) settings remains poorly characterized. This paper evaluates LLM-based coding workflows on SZ-family error-bounded lossy compression kernels, which combine numerical constraints with memory-intensive and control-flow-heavy implementations. We study two representat...
Large Language Models
Correct When Paired, Wrong When Split: Decoupling and Editing Modality-Specific Neurons in MLLMs
arXiv:2606.17057v1 Announce Type: new Abstract: Although Knowledge Editing provides an efficient mechanism for updating the knowledge of Multimodal Large Language Models (MLLMs), we find that current paradigms still suffer from an important yet remain underexplored issue : editing decoupling failure, where entity-related knowledge can be updated when the model is triggered by multimodal inputs (text--image query pairs), however, it often reverts to outdated pre-edit facts when the paired inp...
Show HN: VoiceDraw – Talk system design out loud, the diagrams draw themselves
Multimodal AI
Demystifying Noise Contrastive Estimation
Payal Singh: Postgres War Stories Part 2: multixact wraparound, TOAST corruption, and torn pages
Part 1 was about failures that start one layer below Postgres: the kernel, glibc, the page allocator. This post is about the worse class, where the failure is inside Postgres itself. The logs are clean. Recovery never runs. And a query either returns the wrong answer or drops rows that are still sitting on disk. The three incidents below have nothing in common except the part that makes them dangerous: there is no error to alert on. A wrapped-around multixact counter, a missing TOAST chunk, ...
ACID Transactions
Christophe Pettus: All Your GUCs in a Row: default_transaction_deferrable
PostgreSQL's `DEFERRABLE` transaction mode only works with `SERIALIZABLE READ ONLY` transactions, where it waits for a safe snapshot to eliminate…
X / Twitter
Peter Thiel's 'Dialog' network was super-secret. A data leak changed that
SQLite
The Rain Spell
Artificial Intelligence
Wolfram Language and Mathematica Version 15, AI Assistant, Symbolic Music, More
Software Engineering
Assume You Will Be Hacked
AI Agents
The Agent Coding Maturity Curve: 9 Stages from Code Generation to Trusted Automation
Most developers begin with the same rush of excitement: the agent writes code, fixes bugs, explains unfamiliar systems, generates tests, and turns vague intent into something that looks runnable. For a moment, it feels like the hard part of software engineering has collapsed. The model can produce in seconds what used to take hours. The […] The post The Agent Coding Maturity Curve: 9 Stages from Code Generation to Trusted Automation appeared first on Salesforce Engineering Blog.
NLnet announces funding for 67 more open-source projects
Humiliating IIS servers for fun and jail time
Object Storage
Amazon S3 annotations: attach rich, queryable context directly to your objects
Amazon S3 now lets you attach up to 1 GB of rich, mutable, and queryable context directly to your objects using annotations, purpose-built for AI agents and autonomous workflows that need to discover, understand, and act on data at scale without maintaining separate metadata systems.
Space Tech
Among the large new rockets Amazon was counting on, only Europe has delivered
UK Government Goes All-In on Digital Surveillance, Censorship and Control
Agentic Commerce and Payments
Anthropic’s latest feud with the Trump admin may actually help it, sales data suggests
Show HN: cuTile Rust: Safe, data-race-free GPU kernels in Rust
AI Psychosis
Leak Exposes Members of Peter Thiel's Secretive 'Dialog' Society
NVIDIA
Silicon Motion exec: Retail SSD market has almost disappeared
Linux Kernel
Linux 7.1 is here to end the Intel 486 era – and do some serious legacy clean up
GraphQL
If context is king, architecture is the castle
Recorded live at the AI Agent Conference, Ryan sits down with Apollo GraphQL CEO Matt DeBerglis to discuss how enterprises can leverage GraphQL and MCP as a structured semantic architecture to feed clean data to autonomous agents, safeguard internal microservices against unprecedented "east-west" data exfiltration risks, and rein in skyrocketing token spend by explicitly querying only the exact context required.�...
Defense Tech
Exclusive eBook: How AI is becoming the next military advisor
A collection of stories about how militaries are using AI models to make decisions. This subscriber-only eBook is a package of six stories that were originally published in MIT Technology Review between April 11, 2025, and April 21, 2026, and have been updated to reflect recent developments. by James O’Donnell Choose which file format to…
ASM SHADER TOY – It's shader toy but you code in asm
Zero Trust Security
Frood, an Alpine Initramfs NAS
Anthropic
Leviathan Waking – On Anthropic/USG, and a new era in AI governance
Show HN: Ctx, save tokens by loading only the relevant tools
Storage Engines
Databricks Launches LTAP: A Unified OLAP/OLTP Data Architecture
AI Inference
Lexar Wants to Offload Local AI Models to SSD Amid the RAMpocalypse
Startups and Venture
SpaceX valuation balloons to $2.6T, briefly passes Amazon
AGI and AI Safety
AI is potentially a Dunning-Kruger effect amplifier
Show HN: Azure DevOps TUI Management Style
Reservations are open for XREAL AURA
The Web We Know Is Going to Disappear
Haskell
Show HN: Sabela – A Reactive Notebook for Haskell
Cloudflare
Cloudflare DMARC Management is now generally available
Get unified visibility into your email authentication posture and reach full DMARC enforcement with deeper reporting, record analysis, and SPF audits free for every Cloudflare customer.
Build your project Zig-style
Infrastructure as Code
Show HN: Pen and paper resource development game with an emergent world
Algorithms and Data Structures
Flip TABLE: storing arbitrary data in iNaturalist
Authentication
Nearly a million passports and photo IDs were unprotected on the public internet
Caching Strategies
From Christmas Outage to #1 App Store Ranking: An Aura Frames Postgres Scaling Retrospective
Malware in Arch Linux AURs now inserting Russian spam into shell configs
Google DeepMind
Has AI already killed self-help nonfiction books?
Chip Design and Semiconductors
Qualcomm wants to be the chip inside whatever replaces your smartphone, and it just announced two products toward that end
AI Hardware
GPT‑NL: a sovereign language model for the Netherlands
Networking Protocols
10Gb/s Ethernet: switching to a Broadcom SFP+ module
Caching Strategies
Andrew Atkinson: From Christmas Outage to #1 App Store Ranking: An Aura Frames Postgres Scaling Retrospective
📌 Overview On Christmas Day 2024, Postgres infrastructure powering the Aura Frames API had problems under peak load, being unavailable for three hours and disrupting the experience for new customers. The team knew it would need improvements to handle the surge for Christmas 2025 and beyond. One year later, much of the resource intensive data access was reworked, the Postgres infrastructure was upsized, and this approach not only survived, but thrived, providing reliable service through t...
PostgreSQL
Andrew Atkinson: Scaling Rails at Aura Frames: Splitting to 8 Primary DBs and Reaching #1 in the App Store
📌 Overview Ruby on Rails has helped make it possible to scale out the database layer, meeting the demands of millions of Aura Frames customers enjoying their digital photo frames. In late 2025, the team added additional primary databases to expand capacity for peak write and read load ahead of Christmas Day, the busiest day of the year for the company. Rails manages queries and schema changes for each primary database within the same codebase, and now with the additional capacity of many p...
Anthropic
Claude: Elevated errors across many models
Google DeepMind
Android 17 launches with new multitasking tools as Google expands Gemini features
Uber
Rivian cuts hundreds of workers after R2 deliveries start
EVs and Transportation
Mobileye’s US robotaxi launch will put it on both sides of the AV business
AI Agents
The octopus architecture for AI agents
Browser Internals
How we run Firecracker VMs inside EC2 and start browsers in <1s
AR and VR
Specs Augmented Reality Glasses
Linux Kernel
Linux kernel 7.1 sends Intel 486 support to silicon heaven
Programming Language Theory
Formal Methods and the Future of Programming
Artificial Intelligence
Empowering Carrot Ads with Domain Adaptive Learning
Authors: Trey Zhong, Xiyu WangContributors: Joseph Haraldson, Sharad Gupta, Sarah LamacchiaIntroductionCarrot Ads is Instacart’s omnichannel retail media solution that allows retailer partners to build and scale their own advertising businesses on either their owned-and-operated (O&O) websites and apps or their whitelabel Storefront hosted by Instacart. Carrot Ads empowers retailers and CPG brands to accelerate revenue, while improving the customer experience, engagement and Ads return on ...
Artificial Intelligence
Scaling Personalized Marketing for Multi-Tenant Commerce Platforms
TL;DRBackground: Marketing Across Marketplace and StorefrontInstacart operates across two distinct commerce experiences:Instacart Marketplace, our first-party consumer marketplaceStorefront Pro, our white-label e-commerce platform for retailersFor years, our marketing automation infrastructure was built primarily to support Marketplace use cases. That model worked well in a first-party environment, where the product experience, customer relationship, and brand were all centrally managed by In...
Artificial Intelligence
How AI Changes the Role of Applied Scientists
Levi Boxell, Tilman Drerup, Alexandr LenkThe Economics Team at Instacart is an applied science team that operates at the intersection of machine learning engineering and economics. Similar to other applied science teams, our work involves a good chunk of engineering, steeped in statistics, math, theory, and strategy. And while that is still at the heart of what we do today, the surprisingly rapid emergence of artificial intelligence has also fundamentally altered our work in ways that we did...
RAG
Semantic IDs: Product Understanding at Scale
Key Contributors: Shrikar Archak, Karuna Ahuja, Soroush Sobhkhiz, Marko Avdalovic, Xiyu Wang, JiChao Zhang, Hao Yan, Chris HartleyIntroductionOperating a grocery catalog at Instacart’s scale means managing millions of products across thousands of categories. Every product is assigned to a category in our hierarchical taxonomy like “Dairy > Cheese > Parmesan”. These categories provide broad classification, but they miss the connections that drive how customers actually shop.For example...
AI Inference
From Scoring to Spelling: Rebuilding Ads Retrieval at Instacart
Key Contributors: Karuna Ahuja, Marko Avdalovic, Soroush Sobhkhiz, Shrikar Archak, Xiyu Wang, Ji Chao Zhang, Hao YanIntroductionEvery time a user opens Instacart, they see product recommendations: on the retailer home page, in search results, and alongside their cart. Many of these recommendations are sponsored products surfaced by a retrieval model that decides which products to show from a vast ads product catalog. A relevant ad helps users discover products they didn’t know they needed;...
Web Application Security
Gamers beware: malicious wallpapers on Steam found stealing accounts
Meta
Why is Meta destroying its engineering organization?
EVs and Transportation
Self-driving tech supplier Mobileye wants to be part of the robotaxi revolution — again
Noémi Ványi: pgstream v1.1.0: Steps towards turning it into a service
What's new in pgstream v1.1.0: env vars in YAML config, JSON logs, Kubernetes health probes, custom TLS for OpenSearch, and fixes for composite primary keys.
Containers
TIL: You can make HTTP requests without curl using Bash /dev/TCP
Software Engineering
After AI Takes Everything
Apple
Snap finally debuts its long awaited AR glasses, Specs, and, oof, they aren’t cheap
British Colombia, Time Zones, and Postgres
Rust