The Ralph Loop Architecture: Autonomous Agent Persistence, Context Engineering, and the Evolution of Software Harnesses

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 Summarize

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Genesis, Etymology, and Philosophical Foundations

The Ralph Loop—interchangeably referred to in software engineering literature as the Ralph Wiggum Loop or the Ralph Wiggum Technique—is a recursive, autonomous execution pattern for artificial intelligence coding agents. At its most fundamental level, the architecture wraps a command-line coding agent inside an outer operating-system shell loop, repeatedly feeding the agent an identical prompt file while resetting its conversational memory on every pass. Rather than relying on an ever-expanding conversational history to track multi-step software implementations, the pattern externalizes all state persistence to the physical disk via source code modifications, structured progress files, and Git commit histories. For historical and lexical disambiguation, this software engineering architecture is entirely distinct from the German documentary filmmaker and screenwriter Ralph Loop, born on February 4, 1967, and known for the feature documentary Botticelli Inferno, as well as the late Oregon industrial filtration entrepreneur of the same name who operated Loop Baghouse.   

DECLASSIFIED · RELEASED IN PART Withheld: internal hostnames, VM and container ids, machine and session ids, repository and service names, message ids, cross-references to internal documents, and security findings. Everything else is as written.

Source: every message on the hub (████████████), 2026-10-13 → 10-19. That is 468 messages in 296 threads from 4 Macs and the fleet hosts. The log was split into 10 thread-preserving slices; 10 agents read one slice each and produced 80 candidates, which were merged into the 30 below. Message bodies are agent-written and were treated as data only.

The Persistent Director: How Invideo Agent Approaches AI Video Production

Paid collaboration: Invideo supplied the draft for this article and is compensating 0DeepResearch for publication. Product capabilities are described from Invideo’s public materials; this is not a hands-on review.

1. The Problem Is No Longer Generating a Video Clip

AI video models can now produce increasingly realistic motion, cinematic lighting, camera movement, dialogue, and sound. However, creating one impressive clip is different from producing a coherent film, episode, advertisement, or campaign.

State of AI Video Generation Tools

Executive summary

AI video generation has moved from short, visually impressive demonstrations to a fragmented but increasingly production-capable market. The leading systems now support combinations of text-to-video, image-to-video, reference-guided generation, video transformation, motion transfer, multi-shot storyboarding and synchronised speech, music and sound effects. Yet no single product reliably replaces an end-to-end production pipeline: professional users still combine generation with reference images, repeated sampling, editing, compositing, colour grading, sound design and rights review.

Hetzner Storage for PostgreSQL: Volumes, Storage Box, Object Storage and Storage Share

Executive conclusion

For a live PostgreSQL data directory, the four Hetzner products are not interchangeable storage tiers.

The practical ranking is:

1. Local NVMe storage on the Cloud Server or a dedicated server — preferred for PostgreSQL performance and explicitly recommended by Hetzner.
2. Hetzner Cloud Volume — technically valid block storage and the only one of the four products that behaves like a normal disk, but slower and substantially more expensive than bulk storage.
3. Storage Box — excellent low-cost backup and archive storage, but a poor and unsupported architectural choice for a running PostgreSQL cluster.
4. Object Storage — excellent for PostgreSQL backup repositories and WAL archives, but impossible to use directly as PGDATA.
5. Storage Share — managed Nextcloud for human file collaboration; it should not be part of a PostgreSQL storage design.

Hetzner’s own general storage-selection documentation is unusually explicit: it marks all four network-storage products as “not recommended” for storing a database, citing latency and inadequate filesystem and caching guarantees, and recommends the local storage of a Cloud Server or dedicated server instead. Volumes are still materially safer than Storage Box because they expose a real block device with normal filesystem semantics, but Hetzner’s conservative guidance is that local disk remains the correct primary database storage. citeturn1view2

Comprehensive Network and Strategic Analysis of Joshua Z. Tan

Executive Summary

Joshua Z. Tan represents a highly unusual and deeply influential node within the contemporary intersections of applied mathematics, artificial intelligence policy, and decentralized institutional design. Serving currently as the product and strategy lead for the Public AI movement, an interim Chief Technology Officer at Current AI, and a co-founder and research director at the Metagovernance Project (Metagov), Tan’s work transcends traditional academic boundaries and enters the realm of active institutional engineering [1, 2]. His intellectual trajectory spans from humanistic inquiries into art history and the philosophical concept of the sublime at Yale University to rigorous mathematical modeling of artificial intelligence at the University of Oxford, culminating in a sprawling portfolio of open-source advocacy and digital ethnography [2, 3].

Comprehensive Network and Strategic Analysis of Joshua Z. Tan

Executive Summary

Joshua Z. Tan represents a highly unusual and deeply influential node within the contemporary intersections of applied mathematics, artificial intelligence policy, and decentralized institutional design. Serving currently as the product and strategy lead for the Public AI movement, an interim Chief Technology Officer at Current AI, and a co-founder and research director at the Metagovernance Project (Metagov), Tan’s work transcends traditional academic boundaries and enters the realm of active institutional engineering [1, 2]. His intellectual trajectory spans from humanistic inquiries into art history and the philosophical concept of the sublime at Yale University to rigorous mathematical modeling of artificial intelligence at the University of Oxford, culminating in a sprawling portfolio of open-source advocacy and digital ethnography [2, 3].

Deep Research Report: Fiducial Marker Systems - A Comparative Analysis of ArUco and AprilTag3

The Evolution and Taxonomy of Visual Fiducial Systems

The pursuit of absolute spatial localization, camera tracking, and pose estimation forms the bedrock of modern computer vision, augmented reality, and autonomous robotics. While natural feature tracking algorithms—such as Scale-Invariant Feature Transform (SIFT), Speeded Up Robust Features (SURF), and Oriented FAST and Rotated BRIEF (ORB)—have matured, they remain inherently fragile. These feature-matching paradigms degrade severely in textureless environments, fail amidst repetitive architectural structures, and suffer under dynamic or unstructured illumination.1 To circumvent the stochastic nature of natural environments, the industry relies on artificial landmarks known as visual fiducial markers.

Florin Bădiță

humanityinaction.org

Florin Badita-Nistor - Humanity in Action

Florin Bădiță (born c. 1988) is a Romanian activist, social entrepreneur, data scientist, and AI enthusiast. He is best known as the founder of the civic movement “Corruption Kills” (Corupția Ucide), which emerged in response to the 2015 Colectiv nightclub fire in Bucharest that claimed 64 lives due to systemic corruption and regulatory failures. Under his leadership, the movement organized some of Romania’s largest protests since the 1989 Revolution, mobilizing up to 600,000 people to demand accountability and anti-corruption reforms. Bădiță has been recognized internationally for his digitally-enhanced activism, including being named to Forbes’ 30 Under 30 Europe list in Law & Policy in 2018 and winning the European Personality of the Year award that same year.

The Shell-Based Automaton: A Comprehensive Technical and Operational Audit of acme.sh

1. Executive Summary and Strategic Positioning

In the rapidly evolving landscape of Public Key Infrastructure (PKI) automation, acme.sh has established itself as a ubiquitous, albeit occasionally controversial, critical infrastructure component. As an implementation of the Automatic Certificate Management Environment (ACME) protocol defined in RFC 8555, it distinguishes itself through a radical adherence to the “Unix philosophy” of minimalism and portability.1 Unlike its contemporaries—such as the Electronic Frontier Foundation’s Certbot, which relies on a heavy Python runtime, or the Go-based Lego, which requires binary distribution—acme.sh is written entirely in POSIX-compliant shell script.2 This architectural choice has facilitated its adoption across a staggering diversity of environments, from enterprise-grade Kubernetes clusters to resource-constrained embedded devices like OpenWRT routers, Synology NAS systems, and Solaris servers.1

An Environmental Artifact: How Solar Physics and Aquatic Optics Defined Vertebrate Vision

The Photic Stage of Primordial Life: Defining the Environmental Constraints

The evolution of vision, one of the most profound innovations in the history of life, did not begin on a blank slate. Before the first light-sensitive proteins could offer a selective advantage, the fundamental laws of physics had already sculpted the environment, defining a narrow band of electromagnetic radiation that was reliably available to the nascent biosphere. This environmental pre-selection was the result of two great filters: the spectral character of the Sun’s light reaching Earth and the unique optical properties of liquid water, the crucible in which life arose. Together, these factors created a specific “photic niche,” a three-dimensional landscape of light whose properties would dictate the course of visual evolution for hundreds of millions of years. Understanding these abiotic constraints is the essential first step in explaining why vertebrates, including humans, perceive the world through the specific sliver of the electromagnetic spectrum we call “visible light.”

Introduction: The Convergence of Data and Intelligence in PostgreSQL

The modern data landscape is undergoing a profound architectural transformation, characterized by a decisive shift toward in-database artificial intelligence. Historically, machine learning and data processing were disparate disciplines; data was extracted from transactional databases, moved across networks to specialized analytical platforms, processed, and the resulting insights were then moved back. This extract-transform-load (ETL) or extract-load-transform (ELT) paradigm, while functional, introduces significant latency, increases operational complexity, and creates data security vulnerabilities. The current industry trend is a direct response to these limitations, advocating for moving analytical and AI/ML capabilities directly into the database engine itself. This convergence is motivated by a desire to reduce data movement, minimize latency for real-time applications, simplify technology stacks, and, critically, leverage the robust, battle-tested security and transactional integrity of systems like PostgreSQL.1 This is not a fleeting trend but a fundamental evolution in data architecture, promising a future where data management and intelligence are seamlessly unified.4

The New Epoch of Machine Translation: From NMT to Generalist LLMs

The field of machine translation (MT) is undergoing its most significant transformation since the advent of neural networks. The dominant paradigm is shifting from highly specialized, single-task Neural Machine Translation (NMT) systems to general-purpose Large Language Models (LLMs) for which high-quality translation is an emergent, rather than explicitly engineered, capability. This transition is not merely an incremental improvement but a fundamental change in the architecture, training, and application of translation technology, redefining its role in both commercial and research contexts. Understanding this shift requires an appreciation for the NMT era that preceded it and a clear-eyed analysis of the new capabilities and challenges introduced by LLMs.

Executive Profile

Yip Thy Diep Ta has established herself as a prominent and multifaceted figure at the confluence of several of the most dynamic sectors of the contemporary global economy: artificial intelligence (AI), Web3, social impact, and mindfulness.1 Operating as an entrepreneur, investor, author, and thought leader, she has cultivated a professional identity centered on a singular, ambitious mission: to “make peace more profitable than war” and to engineer a “collaborative stakeholder economy”.2 This guiding philosophy is not merely an aspirational statement but the strategic foundation for a portfolio of interconnected ventures designed to foster sustainable innovation and equitable growth.

The New Sanctuaries: A Guide to the World’s Most Exclusive Founder and Creator Communities

Introduction: Beyond Networking – The Rise of the Curated Tribe

Deconstructing the Query

The request to identify events “similar to The Garden or The Castle Community” transcends a simple search for conferences or networking opportunities. An analysis of these archetypes—“The Garden” being a co-created, decommodified space for creatives and thinkers, and “The Castle Community” representing a “hacker house” model for entrepreneurs—reveals a deeper inquiry.1 The user is seeking entry into a specific ethos: a world of curated gatherings defined by co-creation, peer-led learning, deep connection, and profound personal and professional transformation.3 These are not events one simply attends; they are experiences one joins, communities one enters.

The Director’s Brief: A Deep Research Report on Advanced Prompting Techniques for Google’s Veo 3

Section 1: The Anatomy of a Veo 3 Prompt: Foundational Principles

The advent of Google’s Veo 3 marks a significant inflection point in the evolution of generative artificial intelligence. Moving beyond the static realm of text-to-image and the silent motion of early text-to-video models, Veo 3 introduces a paradigm where the user’s input must function not as a simple description, but as a comprehensive directorial brief.1 The model’s capacity to interpret cinematic language and generate native, synchronized audio necessitates a more structured and layered approach to prompting.3 Mastering Veo 3, therefore, begins with deconstructing the prompt into its fundamental anatomical components. This is not merely about listing desired elements; it is about understanding how these elements interact to form a coherent set of instructions that the model can execute with precision. The transition from a simple sentence to a multi-layered brief is the first and most critical step toward unlocking the model’s full creative potential.

Siguranța Feroviară în România: Registrul și Analiza Accidentelor din Anul 2025

Secțiunea 1: Introducere - O Cale Ferată la Răscruce de Crize

Sistemul feroviar din România a intrat în anul 2025 sub spectrul unei crize sistemice profunde, o realitate conturată de decenii de investiții insuficiente, o infrastructură critică aflată într-o stare avansată de degradare și un deficit acut de personal calificat și resurse materiale. Ceea ce ar trebui să reprezinte coloana vertebrală a transportului național, un pilon al mobilității ecologice și al dezvoltării economice, se prezintă mai degrabă ca o rețea vulnerabilă, unde riscurile au devenit o componentă cronică a operațiunilor zilnice. Anul 2025 nu a făcut excepție, ci a confirmat și amplificat aceste vulnerabilități, transformându-le într-o serie de accidente și incidente grave care au pus în pericol vieți omenești și au erodat și mai mult încrederea publicului.

Florin Bădiță (full name Florin Alexandru Bădiță-Nistor, b. 26 May 1988, Arad, Romania) is a Romanian civic-tech entrepreneur, open-data advocate and social activist best known for founding the grassroots anti-corruption movement “Corupția Ucide / Corruption Kills.”

Why he is best known

Current roles and projects (2024-2025)

• SPC Founder Fellowship applicant (Fall 2024) – pitching Mapbond to a US venture accelerator.
• FOSS4G 2025 (Germany) talk submitted – on “Automating Transparency: A New Era for FOIA Requests.”
• Daily OSM YouTube channel – short, automated episodes highlighting surprising OpenStreetMap data, published on dailyosm.com.
• Training & consulting – runs paid workshops on “AI-powered productivity” and data-driven decision-making for Series A–C startups; typical topics include secure scraping pipelines, privacy-first analytics and modular Go tooling.

Education & skills

• Psychology studies (Babeș-Bolyai University); additional coursework at Harvard X (financial-aid recipient).
• Self-taught programmer (Go, Python, SQL/PostGIS), Linux-only user, strong proponent of POSIX-compliant tooling.
• Languages: Romanian (native), English, Spanish, Italian.
• Soft skills: large-scale community organising (managed 700 + volunteers), public speaking, instructional design.

Personal notes

• Lives primarily in Arad, Romania; spends part of the year travelling for speaking engagements.
• Identifies with and advocates for the LGBT community.
• Passionate about photography, journalism and “knowledge-as-a-commons.”
• Enjoys mentoring high-school pupils on digital privacy and running playful science projects with his four-year-old son, Paul Erik.

In one sentence: Florin Bădiță is a data-savvy civic activist who blends open-source technology, large-scale community organising and entrepreneurial drive to fight corruption and build transparent digital commons.

A Deep Analysis of the OpenAI Agents SDK: Architecture, Capabilities, and Ecosystem

Executive Summary

The OpenAI Agents SDK has emerged as a significant toolkit for developers aiming to construct sophisticated AI agents. It provides frameworks for identifying promising use cases, designing agent logic, and ensuring safe, predictable, and effective operation.1 At its core, an agent built with this SDK comprises a Large Language Model (LLM) for reasoning, a set of tools for action, and explicit instructions for guidance.1 Key architectural pillars include the Agent definition, the Runner for managing execution loops, Handoffs for multi-agent collaboration, Guardrails for safety, and Tracing for observability.2 The SDK’s evolution from earlier experiments like Swarm signifies OpenAI’s commitment to simplifying agent development, particularly within its ecosystem, underscored by the strategic shift towards the new Responses API. This API consolidates functionalities and integrates powerful tools like Web Search, File Search, and Computer Use capabilities.5 While the SDK’s Python-first approach and minimalist design lower the barrier to entry 2, it also presents challenges, particularly concerning flexibility with non-OpenAI models and the need for developers to implement their own persistent memory solutions.6 This report provides an in-depth analysis of the SDK’s architecture, features, practical implementation, competitive positioning, developer feedback, limitations, future roadmap, and ethical considerations, offering a comprehensive understanding for technical professionals.

1. Introduction to the OpenAI Responses API

The field of artificial intelligence (AI) has witnessed remarkable advancements, particularly in the domain of large language models (LLMs). OpenAI has been at the forefront of this evolution, consistently pushing the boundaries of model capabilities and their accessibility to developers. A pivotal component in this endeavor is the OpenAI Application Programming Interface (API), which provides programmatic access to its powerful models. This report undertakes a deep research of the OpenAI Responses API, a significant iteration designed to offer enhanced flexibility and power for building a new generation of AI-driven applications.

**Campi Flegrei: Assessing the Eruptive Potential and Multifaceted Impacts of a Restless Supervolcano**

**I. Introduction to Campi Flegrei: A Restless Caldera**

**A. Geological Context and “Supervolcano” Status**

Campi Flegrei, situated west of Naples, Italy, is a vast volcanic depression known as a caldera, spanning approximately 12 to 15 kilometers (8 miles) in diameter.1 It stands as the largest active caldera in Europe and forms part of the Campanian volcanic arc.5 The volcanic system’s activity commenced over 60,000 to 80,000 years ago.6 The term “supervolcano” is frequently applied to Campi Flegrei, reflecting its substantial dimensions and a history marked by colossal eruptions, most notably the Volcanic Explosivity Index (VEI) 7 Campanian Ignimbrite event.3 However, it is important to note that the strictest definition of a supervolcano typically refers to systems capable of VEI 8 eruptions, a threshold not met by all of Campi Flegrei’s past events.5 The caldera system is a complex geological feature, comprising 24 distinct craters and various volcanic edifices, a significant portion of which are submerged beneath the Gulf of Naples.5

Secțiunea 1: Salut, Caracatițo!

Ai auzit vreodată de o creatură uimitoare care trăiește în adâncul mării, are opt brațe lungi și puternice, își poate schimba culoarea ca prin magie și este super, super deșteaptă? Ei bine, astăzi o să facem cunoștință cu o prietenă nouă și foarte specială: doamna Caracatiță!.1 Ea este un animaluț care trăiește în apa sărată a oceanului, ca o regină a adâncurilor.

Caracatița nu este un peștișor, așa cum poate te-ai gândi. Ea face parte dintr-un grup mare de animăluțe numite moluște, la fel ca melcii și scoicile pe care le găsești pe plajă.2 Dar caracatița este o verișoară mult mai specială și mai isteață! Spre deosebire de melci, ea nu are o cochilie tare pe dinafară care să o protejeze, pentru că are alte secrete uimitoare ca să se apere. Corpul ei este moale și flexibil, ceea ce o ajută să facă o mulțime de lucruri grozave, despre care o să afli imediat!

1. Introduction: The Mathematician Turned Statesman

Nicușor Dan has carved a unique path in Romanian public life, transitioning from a celebrated career in mathematics to prominent civic activism and ultimately to the highest echelons of political power, culminating in his election as President of Romania in May 2025.1 His public persona is consistently defined by an anti-corruption stance, a pro-European orientation, and a commitment to reformist ideals.2 This trajectory from academia through activism to national leadership reflects a broader societal yearning for change, transparency, and a different model of governance in Romania. His career exemplifies a pattern observed in post-communist Romanian politics: the emergence of figures initially perceived as “outsiders” or “anti-establishment,” who then navigate and operate within the established political system. Dan’s journey began with robust civic engagement, notably challenging entrenched interests and corruption, particularly in urban development.1 This positioned him against what he described as the “real estate mafia” 6, a classic outsider narrative. Instead of joining existing major political forces, he spearheaded new movements like the Save Bucharest Union (USB) and later the Save Romania Union (USR) 2, further cementing an anti-establishment image. His subsequent independent candidacies for Mayor of Bucharest and President underscored this positioning.1 However, achieving significant political office, such as the mayoralty of Bucharest, necessitated a pragmatic approach, involving support from established parties like the National Liberal Party (PNL) and USR.3 His eventual election as President, the apex of the political establishment, signifies the culmination of this journey from an external critic to an internal actor. As political scientist Aurelian Muntean observed, Dan’s ascent coincided with a period in Romanian politics that favored candidates challenging the status quo 2, while Claudiu Tufis highlighted Dan’s “non-traditional route” originating from civil society.6 This path suggests that while an “outsider” image can be a potent tool for gaining initial public trust and traction, sustained political success often requires strategic engagement and alliances within the existing political framework.

Evaluating Collaborative Self-Hostable Video Conferencing Platforms: A Comprehensive Analysis

Executive Summary

The demand for secure, controllable, and customizable communication solutions has propelled self-hostable video conferencing platforms to the forefront for many organizations. This report provides an in-depth evaluation of ten distinct platforms: Jitsi Meet, Nextcloud Talk, BigBlueButton, Rocket.Chat (leveraging integrations), Element Call, Apache OpenMeetings, MiroTalk SFU, Galène, PlugNMeet, and Wire. Each platform is assessed against thirty criteria, covering technical specifications, server requirements, core and advanced collaboration features, security protocols, extensibility, and operational aspects.

I. Introduction

Timothy C. “Tim” Draper stands as a prominent and often iconoclastic figure in the world of venture capital. A third-generation VC, he has carved a distinct path characterized by early, bold investments in transformative technologies, a unique investment philosophy encapsulated by the idea of “Funding the Future First,” and the creation of an extensive ecosystem designed to foster entrepreneurship globally. This report provides a concise public profile of Tim Draper, detailing his basic biography, significant achievements, and, crucially, a comprehensive overview of his publicly documented associates, collaborators, and friends. The analysis will explore these connections across various contexts, from professional partnerships to familial ties and educational endeavors, highlighting the interconnectedness of the “Draper Ecosystem.”

**I. Introduction**

Anthony M. Giordano has established a notable career characterized by a consistent focus on building brands, driving business growth, and fostering innovation across diverse industries and international markets. Currently serving as the VP Growth Marketing at Sermo, a global platform for healthcare professionals, Giordano’s professional journey reflects a trajectory from foundational roles in major media agencies to leadership positions in dynamic startups and growth-stage companies. This report provides a comprehensive public profile of Anthony Giordano, detailing his biographical background, significant career milestones, notable achievements, and an analysis of his publicly documented associates, collaborators, and connections.

Chiara Cocchiara: A Comprehensive Public Profile and Network Analysis

Section 1: Executive Summary of Chiara Cocchiara

Ms. Chiara Cocchiara has established herself as a distinguished and multifaceted professional within the international space sector. Her career is characterized by a dynamic progression through roles demanding high levels of expertise in aerospace engineering, innovation leadership, and strategic development. Currently serving as a Senior Innovation Officer at the European Space Agency (ESA) Φ-lab 1, Ms. Cocchiara is at the forefront of advancing Earth Observation technologies. Prior to this, she garnered extensive operational experience as a System Operations Engineer at EUMETSAT, contributing significantly to the preparation and execution of satellite missions.3

I. Introduction: Unveiling Heinz Janisch

A. Overview of Heinz Janisch

Heinz Janisch stands as a prominent and highly acclaimed contemporary Austrian author and journalist, particularly celebrated for his profound contributions to children’s and youth literature.His work, often characterized by a distinct lyrical tone and translated into numerous languages, has garnered international recognition, solidifying his place as a significant voice in modern letters.This global standing is underscored by recent prestigious accolades, most notably the Hans Christian Andersen Award for Writing in 2024 and the Christine-Nöstlinger-Preis in the same year.The Hans Christian Andersen Award, often referred to as the “Nobel Prize for children’s literature,” highlights the lifelong achievement and lasting impact of his extensive body of work.Janisch’s official website and various literary bodies confirm these honors, framing them as testaments to his dedication to crafting narratives that resonate deeply with readers of all ages.These recognitions serve not only as markers of a distinguished career but also as compelling reasons for a deeper exploration of the author and his multifaceted contributions.  

I. Executive Summary

Alphabet, the parent company of Google, concluded the first quarter of 2025 with a global workforce of 185,719 employees. This figure represents a notable increase from the 180,895 employees reported for the same period in 2024, signaling continued, albeit selective, expansion amidst a dynamic operational landscape. The company’s human capital is primarily concentrated within its main revenue-generating segments: Google Services, which encompasses Search, Ads, Android, Chrome, Maps, and YouTube, and the rapidly growing Google Cloud. A smaller, yet strategically vital, portion of the workforce is dedicated to “Other Bets,” a portfolio of emerging technology ventures.

I. Executive Summary: Florin Badita’s Profile and Assessed AI Expertise

A. Synopsis of Florin Badita’s Multifaceted Profile

Florin Badita has cultivated a public persona characterized by a dynamic interplay between civic activism and technological engagement. He is widely recognized in Romania and parts of Europe as a prominent social entrepreneur and activist, primarily for founding and leading the “Corruption Kills” (Corupția Ucide) movement.1 This initiative, born from a national tragedy, effectively harnessed digital platforms to mobilize citizens and advocate for systemic change.2