Lego unveils tech-filled Smart Bricks - to play experts' unease

Summary: Lego says its new tech-enabled products are its "most revolutionary innovation" since it launched its mini-figurines in 1978.


Nvidia unveils self-driving car tech as it seeks to power more products with AI

Summary: The chip giant is looking for ways to move the AI revolution beyond software and into physical products.


AI as Entertainment

Summary: arXiv:2601.08768v1 Announce Type: new Abstract: Generative AI systems are predominantly designed, evaluated, and marketed as intelligent systems which will benefit society by augmenting or automating human cognitive labor, promising to increase personal, corporate, and macroeconomic productivity. But this mainstream narrative about what AI is and what it can do is in tension with another emerging use case: entertainment. We argue that the field of AI is unprepared to measure or respond to how the proliferation of entertaining AI-generated content will impact society. Emerging data suggest AI i


NOVAK: Unified adaptive optimizer for deep neural networks

Summary: arXiv:2601.07876v1 Announce Type: cross Abstract: This work introduces NOVAK, a modular gradient-based optimization algorithm that integrates adaptive moment estimation, rectified learning-rate scheduling, decoupled weight regularization, multiple variants of Nesterov momentum, and lookahead synchronization into a unified, performance-oriented framework. NOVAK adopts a dual-mode architecture consisting of a streamlined fast path designed for production. The optimizer employs custom CUDA kernels that deliver substantial speedups (3-5 for critical operations) while preserving numerical stability


Ideological Isolation in Online Social Networks: A Survey of Computational Definitions, Metrics, and Mitigation Strategies

Summary: arXiv:2601.07884v1 Announce Type: cross Abstract: The proliferation of online social networks has significantly reshaped the way individuals access and engage with information. While these platforms offer unprecedented connectivity, they may foster environments where users are increasingly exposed to homogeneous content and like-minded interactions. Such dynamics are associated with selective exposure and the emergence of filter bubbles, echo chambers, tunnel vision, and polarization, which together can contribute to ideological isolation and raise concerns about information diversity and publ


A Systematic Security Analysis for Path-based Traceability Systems in RFID-Enabled Supply Chains

Summary: arXiv:2601.09407v1 Announce Type: new Abstract: Traceability systems have become prevalent in supply chains because of the rapid development of RFID and IoT technologies. These systems facilitate product recall and mitigate problems such as counterfeiting, tampering, and theft by tracking the manufacturing and distribution life-cycle of a product. Therefore, traceability systems are a defense mechanism against supply chain attacks and, consequently, have become a target for attackers to circumvent. For example, a counterfeiter may change the trace of a fake product for the trace of an authenti


Revisiting Software Engineering Education in the Era of Large Language Models: A Curriculum Adaptation and Academic Integrity Framework

Summary: arXiv:2601.08857v1 Announce Type: new Abstract: The integration of Large Language Models (LLMs), such as ChatGPT and GitHub Copilot, into professional workflows is increasingly reshaping software engineering practices. These tools have lowered the cost of code generation, explanation, and testing, while introducing new forms of automation into routine development tasks. In contrast, most of the software engineering and computer engineering curricula remain closely aligned with pedagogical models that equate manual syntax production with technical competence. This growing misalignment raises co


ShortCoder: Knowledge-Augmented Syntax Optimization for Token-Efficient Code Generation

Summary: arXiv:2601.09703v1 Announce Type: new Abstract: Code generation tasks aim to automate the conversion of user requirements into executable code, significantly reducing manual development efforts and enhancing software productivity. The emergence of large language models (LLMs) has significantly advanced code generation, though their efficiency is still impacted by certain inherent architectural constraints. Each token generation necessitates a complete inference pass, requiring persistent retention of contextual information in memory and escalating resource consumption. While existing research


NSR-Boost: A Neuro-Symbolic Residual Boosting Framework for Industrial Legacy Models

Summary: arXiv:2601.10457v1 Announce Type: new Abstract: Although the Gradient Boosted Decision Trees (GBDTs) dominate industrial tabular applications, upgrading legacy models in high-concurrency production environments still faces prohibitive retraining costs and systemic risks. To address this problem, we present NSR-Boost, a neuro-symbolic residual boosting framework designed specifically for industrial scenarios. Its core advantage lies in being "non-intrusive". It treats the legacy model as a frozen model and performs targeted repairs on "hard regions" where predictions fail. The framework compris


Multi-Property Synthesis

Summary: arXiv:2601.10651v1 Announce Type: new Abstract: We study LTLf synthesis with multiple properties, where satisfying all properties may be impossible. Instead of enumerating subsets of properties, we compute in one fixed-point computation the relation between product-game states and the goal sets that are realizable from them, and we synthesize strategies achieving maximal realizable sets. We develop a fully symbolic algorithm that introduces Boolean goal variables and exploits monotonicity to represent exponentially many goal combinations compactly. Our approach substantially outperforms enumer


Heterogeneous computing platform for real-time robotics

Summary: arXiv:2601.09755v1 Announce Type: cross Abstract: After Industry 4.0 has embraced tight integration between machinery (OT), software (IT), and the Internet, creating a web of sensors, data, and algorithms in service of efficient and reliable production, a new concept of Society 5.0 is emerging, in which infrastructure of a city will be instrumented to increase reliability, efficiency, and safety. Robotics will play a pivotal role in enabling this vision that is pioneered by the NEOM initiative - a smart city, co-inhabited by humans and robots. In this paper we explore the computing platform th


Putting green software principles into practice

Summary: arXiv:2601.09741v1 Announce Type: new Abstract: The need and theoretical methods for measuring and reducing CO2 emitted by computing systems are well understood, but real-world examples are still limited. We describe a journey towards green software for a live product running on a public cloud. We discuss practical solutions found, in particular using the cost implications of serverless systems to drive efficiency. We end with some `green software' principles that worked well in this project.


A Governance Model for IoT Data in Global Manufacturing

Summary: arXiv:2601.09744v1 Announce Type: new Abstract: Industrial IoT platforms in global manufacturing environments generate continuous operational data across production assets, utilities, and connected products. While data ingestion and storage capabilities have matured significantly, enterprises continue to face systemic challenges in governing IoT data at scale. These challenges are not rooted in tooling limitations but in the absence of a governance model that aligns with the realities of distributed operational ownership, heterogeneous source systems, and continuous change at the edge. This pa


STELP: Secure Transpilation and Execution of LLM-Generated Programs

Summary: arXiv:2601.05467v3 Announce Type: replace Abstract: Rapid evolution of Large Language Models (LLMs) has achieved major advances in reasoning, planning, and function-calling capabilities. Multi-agentic collaborative frameworks using such LLMs place them at the center of solving software development-related tasks such as code generation. However, direct use of LLM generated code in production software development systems is problematic. The code could be unstable or erroneous and contain vulnerabilities such as data poisoning, malicious attacks, and hallucinations that could lead to widespread s


Multi-Property Synthesis


Ask HN: Is it still worth pursuing a software startup?

Summary:
Considering there is very little moat left in software and big companies can copy your product in no time?

Comments URL: https://news.ycombinator.com/item?id=46654726

Points: 4

# Comments: 1


Summary:
Considering there is very little moat left in software and big companies can copy your product in no time?

Comments URL: https://news.ycombinator.com/item?id=46654726

Points: 23

# Comments: 13


Summary:
Considering there is very little moat left in software and big companies can copy your product in no time?

Comments URL: https://news.ycombinator.com/item?id=46654726

Points: 44

# Comments: 31


Summary: Lego says its new tech-enabled products are its "most revolutionary innovation" since it launched its mini-figurines in 1978.


Summary: The chip giant is looking for ways to move the AI revolution beyond software and into physical products.


Summary:
Considering there is very little moat left in software and big companies can copy your product in no time?

Comments URL: https://news.ycombinator.com/item?id=46654726

Points: 74

# Comments: 58


Summary:
Considering there is very little moat left in software and big companies can copy your product in no time?

Comments URL: https://news.ycombinator.com/item?id=46654726

Points: 81

# Comments: 62


Summary:
Considering there is very little moat left in software and big companies can copy your product in no time?

Comments URL: https://news.ycombinator.com/item?id=46654726

Points: 91

# Comments: 76


Summary:
Considering there is very little moat left in software and big companies can copy your product in no time?

Comments URL: https://news.ycombinator.com/item?id=46654726

Points: 94

# Comments: 82


Summary:
Considering there is very little moat left in software and big companies can copy your product in no time?

Comments URL: https://news.ycombinator.com/item?id=46654726

Points: 101

# Comments: 97


Show HN: What if your menu bar was a keyboard-controlled command center?

Summary:
Hey Hacker News The ones that know me here know that I am a productivity geek.
After DockFlow to manage my Dock and ExtraDock, which gives me more space to manage my apps and files, I decided to tackle the macOS big boss: the menu bar.
I spend ~40% of my day context-switching between apps — Zoom meetings, Slack channels, Code projects, and Figma designs. My macOS menu bar has too many useless icons I almost never use.
So I thought to myself, how can I use this area to improve my workflows?
Most solutions (Bartender, Ice) require screen recording permissions, and did not really solve


Show HN: Minikv – Distributed key-value and object store in Rust (Raft, S3 API)

Summary:
Hi HN,
I’m releasing minikv, a distributed key-value and object store in Rust.
What is minikv? minikv is an open-source, distributed storage engine built for learning, experimentation, and self-hosted setups. It combines a strongly-consistent key-value database (Raft), S3-compatible object storage, and basic multi-tenancy. I started minikv as a learning project about distributed systems, and it grew into something production-ready and fun to extend.
Features/highlights:
- Raft consensus with automatic failover and sharding - S3-compatible HTTP API (plus REST/gRPC APIs) - Pluggable s


Optimisation of complex product innovation processes based on trend models with three-valued logic

Summary: arXiv:2601.10768v1 Announce Type: new Abstract: This paper investigates complex product-innovation processes using models grounded in a set of heuristics. Each heuristic is expressed through simple trends -- increasing, decreasing, or constant -- which serve as minimally information-intensive quantifiers, avoiding reliance on numerical values or rough sets. A solution to a trend model is defined as a set of scenarios with possible transitions between them, represented by a transition graph. Any possible future or past behaviour of the system under study can thus be depicted by a path within th


AgencyBench: Benchmarking the Frontiers of Autonomous Agents in 1M-Token Real-World Contexts

Summary: arXiv:2601.11044v1 Announce Type: new Abstract: Large Language Models (LLMs) based autonomous agents demonstrate multifaceted capabilities to contribute substantially to economic production. However, existing benchmarks remain focused on single agentic capability, failing to capture long-horizon real-world scenarios. Moreover, the reliance on human-in-the-loop feedback for realistic tasks creates a scalability bottleneck, hindering automated rollout collection and evaluation. To bridge this gap, we introduce AgencyBench, a comprehensive benchmark derived from daily AI usage, evaluating 6 core


Towards Reliable ML Feature Engineering via Planning in Constrained-Topology of LLM Agents

Summary: arXiv:2601.10820v1 Announce Type: cross Abstract: Recent advances in code generation models have unlocked unprecedented opportunities for automating feature engineering, yet their adoption in real-world ML teams remains constrained by critical challenges: (i) the scarcity of datasets capturing the iterative and complex coding processes of production-level feature engineering, (ii) limited integration and personalization of widely used coding agents, such as CoPilot and Devin, with a team's unique tools, codebases, workflows, and practices, and (iii) suboptimal human-AI collaboration due to poo


Artificial Intelligence and the US Economy: An Accounting Perspective on Investment and Production

Summary: arXiv:2601.11196v1 Announce Type: cross Abstract: Artificial intelligence (AI) has moved to the center of policy, market, and academic debates, but its macroeconomic footprint is still only partly understood. This paper provides an overview on how the current AI wave is captured in US national accounts, combining a simple macro-accounting framework with a stylized description of the AI production process. We highlight the crucial role played by data centers, which constitute the backbone of the AI ecosystem and have attracted formidable investment in 2025, as they are indispensable for meeting


Towards Industrial-scale Product Configuration

Summary: arXiv:2504.00013v2 Announce Type: replace Abstract: We address the challenge of product configuration in the context of increasing customer demand for diverse and complex products. We propose a solution through a curated selection of product model benchmarks formulated in the COOM language, divided into three fragments of increasing complexity. Each fragment is accompanied by a corresponding bike model example, and additional scalable product models are included in the COOM suite, along with relevant resources. We outline an ASP-based workflow for solving COOM-based configuration problems, hig


Lego unveils tech-filled Smart Bricks - to play experts' unease


Nvidia unveils self-driving car tech as it seeks to power more products with AI


Level S4 solar radiation event

Summary:
https://www.swpc.noaa.gov/products/goes-proton-flux

Comments URL: https://news.ycombinator.com/item?id=46684056

Points: 3

# Comments: 1


Level S4 solar radiation event

Summary:
https://www.swpc.noaa.gov/products/goes-proton-flux

Comments URL: https://news.ycombinator.com/item?id=46684056

Points: 33

# Comments: 6


Level S4 solar radiation event

Summary:
https://www.swpc.noaa.gov/products/goes-proton-flux

Comments URL: https://news.ycombinator.com/item?id=46684056

Points: 165

# Comments: 64


Summary: Lego says its new tech-enabled products are its "most revolutionary innovation" since it launched its mini-figurines in 1978.


Summary: The chip giant is looking for ways to move the AI revolution beyond software and into physical products.


Level S4 solar radiation event

Summary:
https://www.swpc.noaa.gov/products/goes-proton-flux

Comments URL: https://news.ycombinator.com/item?id=46684056

Points: 190

# Comments: 75


Level S4 solar radiation event

Summary:
https://www.swpc.noaa.gov/products/goes-proton-flux

Comments URL: https://news.ycombinator.com/item?id=46684056

Points: 208

# Comments: 78


Level S4 solar radiation event

Summary:
https://www.swpc.noaa.gov/products/goes-proton-flux

Comments URL: https://news.ycombinator.com/item?id=46684056

Points: 239

# Comments: 90


Level S4 solar radiation event

Summary:
https://www.swpc.noaa.gov/products/goes-proton-flux

Comments URL: https://news.ycombinator.com/item?id=46684056

Points: 266

# Comments: 99


Level S4 solar radiation event

Summary:
https://www.swpc.noaa.gov/products/goes-proton-flux

Comments URL: https://news.ycombinator.com/item?id=46684056

Points: 280

# Comments: 104


Level S4 solar radiation event

Summary:
https://www.swpc.noaa.gov/products/goes-proton-flux

Comments URL: https://news.ycombinator.com/item?id=46684056

Points: 331

# Comments: 115


Level S4 solar radiation event

Summary:
https://www.swpc.noaa.gov/products/goes-proton-flux

Comments URL: https://news.ycombinator.com/item?id=46684056

Points: 348

# Comments: 119


Level S4 solar radiation event

Summary:
https://www.swpc.noaa.gov/products/goes-proton-flux

Comments URL: https://news.ycombinator.com/item?id=46684056

Points: 358

# Comments: 119


Level S4 solar radiation event

Summary:
https://www.swpc.noaa.gov/products/goes-proton-flux

Comments URL: https://news.ycombinator.com/item?id=46684056

Points: 368

# Comments: 126


Level S4 solar radiation event

Summary:
https://www.swpc.noaa.gov/products/goes-proton-flux

Comments URL: https://news.ycombinator.com/item?id=46684056

Points: 376

# Comments: 126


Level S4 solar radiation event

Summary:
https://www.swpc.noaa.gov/products/goes-proton-flux

Comments URL: https://news.ycombinator.com/item?id=46684056

Points: 381

# Comments: 132


Level S4 solar radiation event

Summary:
https://www.swpc.noaa.gov/products/goes-proton-flux

Comments URL: https://news.ycombinator.com/item?id=46684056

Points: 396

# Comments: 137


Level S4 solar radiation event

Summary:
https://www.swpc.noaa.gov/products/goes-proton-flux

Comments URL: https://news.ycombinator.com/item?id=46684056

Points: 404

# Comments: 142


Level S4 solar radiation event

Summary:
https://www.swpc.noaa.gov/products/goes-proton-flux

Comments URL: https://news.ycombinator.com/item?id=46684056

Points: 427

# Comments: 147


Level S4 solar radiation event

Summary:
https://www.swpc.noaa.gov/products/goes-proton-flux

Comments URL: https://news.ycombinator.com/item?id=46684056

Points: 445

# Comments: 152


Summary: Lego says its new tech-enabled products are its "most revolutionary innovation" since it launched its mini-figurines in 1978.


Summary: The chip giant is looking for ways to move the AI revolution beyond software and into physical products.


Level S4 solar radiation event

Summary:
https://www.swpc.noaa.gov/products/goes-proton-flux

Comments URL: https://news.ycombinator.com/item?id=46684056

Points: 456

# Comments: 154


Level S4 solar radiation event

Summary:
https://www.swpc.noaa.gov/products/goes-proton-flux

Comments URL: https://news.ycombinator.com/item?id=46684056

Points: 472

# Comments: 158


Level S4 solar radiation event

Summary:
https://www.swpc.noaa.gov/products/goes-proton-flux

Comments URL: https://news.ycombinator.com/item?id=46684056

Points: 502

# Comments: 169


Level S4 solar radiation event

Summary:
https://www.swpc.noaa.gov/products/goes-proton-flux

Comments URL: https://news.ycombinator.com/item?id=46684056

Points: 508

# Comments: 172


Level S4 solar radiation event

Summary:
https://www.swpc.noaa.gov/products/goes-proton-flux

Comments URL: https://news.ycombinator.com/item?id=46684056

Points: 513

# Comments: 172


Level S4 solar radiation event

Summary:
https://www.swpc.noaa.gov/products/goes-proton-flux

Comments URL: https://news.ycombinator.com/item?id=46684056

Points: 519

# Comments: 173


Level S4 solar radiation event

Summary:
https://www.swpc.noaa.gov/products/goes-proton-flux

Comments URL: https://news.ycombinator.com/item?id=46684056

Points: 528

# Comments: 174


Level S4 solar radiation event

Summary:
https://www.swpc.noaa.gov/products/goes-proton-flux

Comments URL: https://news.ycombinator.com/item?id=46684056

Points: 532

# Comments: 175


Level S4 solar radiation event

Summary:
https://www.swpc.noaa.gov/products/goes-proton-flux

Comments URL: https://news.ycombinator.com/item?id=46684056

Points: 554

# Comments: 182


Level S4 solar radiation event

Summary:
https://www.swpc.noaa.gov/products/goes-proton-flux

Comments URL: https://news.ycombinator.com/item?id=46684056

Points: 555

# Comments: 182


A Multi-Agent System for Generating Actionable Business Advice

Summary: arXiv:2601.12024v1 Announce Type: new Abstract: Customer reviews contain rich signals about product weaknesses and unmet user needs, yet existing analytic methods rarely move beyond descriptive tasks such as sentiment analysis or aspect extraction. While large language models (LLMs) can generate free-form suggestions, their outputs often lack accuracy and depth of reasoning. In this paper, we present a multi-agent, LLM-based framework for prescriptive decision support, which transforms large scale review corpora into actionable business advice. The framework integrates four components: cluster


Beyond Human Annotation: Recent Advances in Data Generation Methods for Document Intelligence

Summary: arXiv:2601.12318v1 Announce Type: new Abstract: The advancement of Document Intelligence (DI) demands large-scale, high-quality training data, yet manual annotation remains a critical bottleneck. While data generation methods are evolving rapidly, existing surveys are constrained by fragmented focuses on single modalities or specific tasks, lacking a unified perspective aligned with real-world workflows. To fill this gap, this survey establishes the first comprehensive technical map for data generation in DI. Data generation is redefined as supervisory signal production, and a novel taxonomy i


STEP-LLM: Generating CAD STEP Models from Natural Language with Large Language Models

Summary: arXiv:2601.12641v1 Announce Type: new Abstract: Computer-aided design (CAD) is vital to modern manufacturing, yet model creation remains labor-intensive and expertise-heavy. To enable non-experts to translate intuitive design intent into manufacturable artifacts, recent large language models-based text-to-CAD efforts focus on command sequences or script-based formats like CadQuery. However, these formats are kernel-dependent and lack universality for manufacturing. In contrast, the Standard for the Exchange of Product Data (STEP, ISO 10303) file is a widely adopted, neutral boundary representa


Graph Neural Networks are Heuristics

Summary: arXiv:2601.13465v1 Announce Type: new Abstract: We demonstrate that a single training trajectory can transform a graph neural network into an unsupervised heuristic for combinatorial optimization. Focusing on the Travelling Salesman Problem, we show that encoding global structural constraints as an inductive bias enables a non-autoregressive model to generate solutions via direct forward passes, without search, supervision, or sequential decision-making. At inference time, dropout and snapshot ensembling allow a single model to act as an implicit ensemble, reducing optimality gaps through incr


A Survey on Mapping Digital Systems with Bill of Materials: Development, Practices, and Challenges

Summary: arXiv:2601.11678v1 Announce Type: new Abstract: Modern digital ecosystems, spanning software, hardware, learning models, datasets, and cryptographic products, continue to grow in complexity, making it difficult for organizations to understand and manage component dependencies. Bills of Materials (BOMs) have emerged as a structured way to document product components, their interrelationships, and key metadata, improving visibility and security across digital supply chains. This survey provides the first comprehensive cross-domain review of BOM developments and practices. We start by examining t


Zero-Shot Embedding Drift Detection: A Lightweight Defense Against Prompt Injections in LLMs

Summary: arXiv:2601.12359v1 Announce Type: new Abstract: Prompt injection attacks have become an increasing vulnerability for LLM applications, where adversarial prompts exploit indirect input channels such as emails or user-generated content to circumvent alignment safeguards and induce harmful or unintended outputs. Despite advances in alignment, even state-of-the-art LLMs remain broadly vulnerable to adversarial prompts, underscoring the urgent need for robust, productive, and generalizable detection mechanisms beyond inefficient, model-specific patches. In this work, we propose Zero-Shot Embedding


Semantic Caching and Intent-Driven Context Optimization for Multi-Agent Natural Language to Code Systems

Summary: arXiv:2601.11687v1 Announce Type: new Abstract: We present a production-optimized multi-agent system designed to translate natural language queries into executable Python code for structured data analytics. Unlike systems that rely on expensive frontier models, our approach achieves high accuracy and cost efficiency through three key innovations: (1) a semantic caching system with LLM-based equivalence detection and structured adaptation hints that provides cache hit rates of 67% on production queries; (2) a dual-threshold decision mechanism that separates exact-match retrieval from reference-


Changes in Coding Behavior and Performance Since the Introduction of LLMs

Summary: arXiv:2601.11835v1 Announce Type: new Abstract: The widespread availability of large language models (LLMs) has changed how students engage with coding and problem-solving. While these tools may increase student productivity, they also make it more difficult for instructors to assess students' learning and effort. In this quasi-longitudinal study, we analyze five years of student source code submissions in a graduate-level cloud computing course, focusing on an assignment that remained unchanged and examining students' behavior during the period spanning five semesters before the release of Ch


Earth Embeddings as Products: Taxonomy, Ecosystem, and Standardized Access

Summary: arXiv:2601.13134v1 Announce Type: new Abstract: Geospatial Foundation Models (GFMs) provide powerful representations, but high compute costs hinder their widespread use. Pre-computed embedding data products offer a practical "frozen" alternative, yet they currently exist in a fragmented ecosystem of incompatible formats and resolutions. This lack of standardization creates an engineering bottleneck that prevents meaningful model comparison and reproducibility. We formalize this landscape through a three-layer taxonomy: Data, Tools, and Value. We survey existing products to identify interoperab


Governance Matters: Lessons from Restructuring the data.table OSS Project

Summary: arXiv:2601.13466v1 Announce Type: new Abstract: Open source software (OSS) forms the backbone of industrial data workflows and enterprise systems. However, many OSS projects face operational risks due to informal or centralized governance. This paper presents a practical case study of data.table, a high-performance R package widely adopted in production analytics pipelines, which underwent a community-led governance reform to address scalability and sustainability concerns. Before the reform, data.table faced a growing backlog of unresolved issues and open pull requests, unclear contributor pa


SWE-Tester: Training Open-Source LLMs for Issue Reproduction in Real-World Repositories

Summary: arXiv:2601.13713v1 Announce Type: new Abstract: Software testing is crucial for ensuring the correctness and reliability of software systems. Automated generation of issue reproduction tests from natural language issue descriptions enhances developer productivity by simplifying root cause analysis, promotes test-driven development -- "test first, write code later", and can be used for improving the effectiveness of automated issue resolution systems like coding agents. Existing methods proposed for this task predominantly rely on closed-source LLMs, with limited exploration of open models. To


A Blockchain-Oriented Software Engineering Architecture for Carbon Credit Certification Systems

Summary: arXiv:2601.13772v1 Announce Type: new Abstract: Carbon credit systems have emerged as a policy tool to incentivize emission reductions and support the transition to clean energy. Reliable carbon-credit certification depends on mechanisms that connect actual, measured renewable-energy production to verifiable emission-reduction records. Although blockchain and IoT technologies have been applied to emission monitoring and trading, existing work offers limited support for certification processes, particularly for small and medium-scale renewable installations. This paper introduces a blockchain-b


Summary: arXiv:2601.11678v1 Announce Type: cross Abstract: Modern digital ecosystems, spanning software, hardware, learning models, datasets, and cryptographic products, continue to grow in complexity, making it difficult for organizations to understand and manage component dependencies. Bills of Materials (BOMs) have emerged as a structured way to document product components, their interrelationships, and key metadata, improving visibility and security across digital supply chains. This survey provides the first comprehensive cross-domain review of BOM developments and practices. We start by examining


Summary: Lego says its new tech-enabled products are its "most revolutionary innovation" since it launched its mini-figurines in 1978.


Summary: The chip giant is looking for ways to move the AI revolution beyond software and into physical products.


The Agentic AI Handbook: Production-Ready Patterns

Summary:
Article URL: https://www.nibzard.com/agentic-handbook

Comments URL: https://news.ycombinator.com/item?id=46701969

Points: 22

# Comments: 3


Summary:
Article URL: https://www.nibzard.com/agentic-handbook

Comments URL: https://news.ycombinator.com/item?id=46701969

Points: 51

# Comments: 9


Summary:
Article URL: https://www.nibzard.com/agentic-handbook

Comments URL: https://news.ycombinator.com/item?id=46701969

Points: 77

# Comments: 20


Summary:
Article URL: https://www.nibzard.com/agentic-handbook

Comments URL: https://news.ycombinator.com/item?id=46701969

Points: 147

# Comments: 56


Summary:
Article URL: https://www.nibzard.com/agentic-handbook

Comments URL: https://news.ycombinator.com/item?id=46701969

Points: 152

# Comments: 63


Summary:
Article URL: https://www.nibzard.com/agentic-handbook

Comments URL: https://news.ycombinator.com/item?id=46701969

Points: 158

# Comments: 69


Summary:
Article URL: https://www.nibzard.com/agentic-handbook

Comments URL: https://news.ycombinator.com/item?id=46701969

Points: 161

# Comments: 82


Summary:
Article URL: https://www.nibzard.com/agentic-handbook

Comments URL: https://news.ycombinator.com/item?id=46701969

Points: 167

# Comments: 90


Tell HN: Amazon has deactivated my seller account. No idea how to move forward

Summary:
I sell 3d printed sleeves to attach an Apple Airtag to a Samsung TV remote. But Amazon thinks I am selling a Samsung device and has deactivated me for IP violations. My listings are very clear that this is FOR a Samsung device, and not an actual Samsung device. But Amazon's automated system can't figure it out. I am following their IP guidelines for compatible products (section 6C - https://sellercentral.amazon.com/help/hub/reference/GZUQ6GBBXQVHQKF2):
You can see one of my listings here:
https://www.amazon.com/dp/B0FHZVVL1H
Every time I listed a new product for a different TV remote,


A verification layer for browser agents: Amazon case study

Summary:
A common approach to automating Amazon shopping or similar complex websites is to reach for large cloud models (often vision-capable). I wanted to test a contradiction: can a ~3B parameter local LLM model complete the flow using only structural page data (DOM) plus deterministic assertions?
This post summarizes four runs of the same task (search → first product → add to cart → checkout on Amazon). The key comparison is Demo 0 (cloud baseline) vs Demo 3 (local autonomy); Demos 1–2 are intermediate controls.
More technical detail (architecture, code excerpts, additional log snippets):
<


Show HN: Dotenv Mask Editor: No more embarrassing screen leaks of your .env

Summary:
Hi HN,
I built this because I often work in coworking spaces or do screen sharing, and I've always had this fear of accidentally flashing my .env file with production secrets to the whole room (or recording).
It’s a simple VS Code extension that opens .env files in a custom grid editor. It automatically masks any value longer than 6 characters so I can safely open the file to check keys without exposing the actual secrets.
It runs 100% locally with zero dependencies (I know how sensitive these files are). It just reads the file, renders the grid, and saves it back as standard text.


Just aware enough: Evaluating awareness across artificial systems

Summary: arXiv:2601.14901v1 Announce Type: new Abstract: Recent debates on artificial intelligence increasingly emphasise questions of AI consciousness and moral status, yet there remains little agreement on how such properties should be evaluated. In this paper, we argue that awareness offers a more productive and methodologically tractable alternative. We introduce a practical method for evaluating awareness across diverse systems, where awareness is understood as encompassing a system's abilities to process, store and use information in the service of goal-directed action. Central to this approach i


If You Want Coherence, Orchestrate a Team of Rivals: Multi-Agent Models of Organizational Intelligence

Summary: arXiv:2601.14351v1 Announce Type: cross Abstract: AI Agents can perform complex operations at great speed, but just like all the humans we have ever hired, their intelligence remains fallible. Miscommunications aren't noticed, systemic biases have no counter-action, and inner monologues are rarely written down. We did not come to fire them for their mistakes, but to hire them and provide a safe productive working environment. We posit that we can reuse a common corporate organizational structure: teams of independent AI agents with strict role boundaries can work with common goals, but opposin


"Abuse Risks are Often Inherent to Product Features": Exploring AI Vendors' Bug Bounty and Responsible Disclosure Policies

Summary: arXiv:2509.06136v2 Announce Type: replace Abstract: As vendors adopt AI technologies, security researchers are working to uncover and fix related vulnerabilities, which is important given AI systems handle sensitive data and critical functions. This process relies on vendors receiving and rewarding AI vulnerability reports. To assess current practices, we analyzed the vulnerability disclosure policies of 264 AI vendors. We employed a mixed-methods approach, combining snapshot and longitudinal qualitative analysis, as well as comparing alignment with 320 AI incidents and 260 academic articles.


FastFI: Enhancing API Call-Site Robustness in Microservice-Based Systems with Fault Injection

Summary: arXiv:2601.14800v1 Announce Type: new Abstract: Fault injection is a key technique for assessing software reliability, enabling proactive detection of system defects before they manifest in production. However, the increasing complexity of microservice architectures leads to exponential growth in the fault-injection space, rendering traditional random injection inefficient. Recent lineage-driven approaches mitigate this problem through heuristic pruning, but they face two limitations. First, combinatorial-fault discovery remains bottlenecked by general-purpose SAT solvers, which fail to exploi


DeLog: An Efficient Log Compression Framework with Pattern Signature Synthesis

Summary: arXiv:2601.15084v1 Announce Type: new Abstract: Parser-based log compression, which separates static tem- plates from dynamic variables, is a promising approach to exploit the unique structure of log data. However, its perfor- mance on complex production logs is often unsatisfactory. This performance gap coincides with a known degradation in the accuracy of its core log parsing component on such data, motivating our investigation into a foundational yet unverified question: does higher parsing accuracy necessarily lead to better compression ratio? To answer this, we conduct the first empirical


From Charts to Code: A Hierarchical Benchmark for Multimodal Models

Summary: arXiv:2510.17932v2 Announce Type: replace Abstract: We introduce Chart2Code, a new benchmark for evaluating the chart understanding and code generation capabilities of large multimodal models (LMMs). Chart2Code is explicitly designed from a user-driven perspective, capturing diverse real-world scenarios and progressively increasing task difficulty. It consists of three levels: Level 1 (Chart Reproduction) reproduces charts from a reference figure and user query; Level 2 (Chart Editing) involves complex modifications such as changing chart types or adding elements; and Level 3 (Long-Table to Ch


Lego unveils tech-filled Smart Bricks - to play experts' unease

Summary: Lego says its new tech-enabled products are its "most revolutionary innovation" since it launched its mini-figurines in 1978.


Nvidia unveils self-driving car tech as it seeks to power more products with AI

Summary: The chip giant is looking for ways to move the AI revolution beyond software and into physical products.