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Say Goodbye to OneDrive: A Simple Way to Set Up Nextcloud + OnlyOffice in Your Homelab

Setting up Nextcloud + OnlyOffice in your homelab allows you to have complete control over your files and documents, eliminating the need for external services like OneDrive.
Nextcloud is an open-source cloud storage and collaboration platform that can be installed on your own servers, providing privacy and security.
OnlyOffice Docs is a complete office suite that integrates with Nextcloud, enabling document editing, collaboration, and real-time synchronization.
To set up Nextcloud + OnlyOffice, you will need resources such as a storage stack, service stack, HTTPS configuration, and backup tools.

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VentureBeat

201

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What’s inside the LLM? Ai2 OLMoTrace will ‘trace’ the source

The Allen Institute for AI (Ai2) has launched OLMoTrace, an open-source tool to trace LLM output to training data, increasing transparency in AI decision-making.
OLMoTrace, part of Ai2’s Open Language Model project, directly links model outputs to training datasets, enhancing understanding of AI responses.
Differentiating from existing methods like Perplexity and ChatGPT Search, OLMoTrace focuses on tracing model outputs without external sources.
By providing direct evidence of model learning sources, OLMoTrace helps users make informed assessments instead of relying on potentially flawed confidence scores.
The tool highlights text sequences in model outputs and reveals corresponding training documents, aiding in understanding how the model generates outputs.
OLMoTrace facilitates enterprises in improving training data quality, enhancing transparency, and building trust with customers regarding model behaviors.
The technology is open-source under Apache 2.0 license, allowing organizations access to implement similar tracing capabilities for their AI models.
As AI governance frameworks advance, tools like OLMoTrace will become vital for verification and auditability in regulated industries using AI systems.
For enterprises striving for AI adoption, OLMoTrace offers a practical way to enhance transparency and accountability in AI systems, even for proprietary models.
The adoption of OLMoTrace can assist organizations in ensuring AI models' accuracy and improving AI decision-making through better understanding of training data.
OLMoTrace's unique approach of tracing model outputs back to training data sets makes it a valuable tool for enterprises seeking to enhance trust and transparency in their AI implementations.

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Medium

323

My First Month as an LFX Mentee | CNCF Microcks Project

The mentee has made contributions to the Microcks project.
The mentee created a centralized folder structure for the documentation, making it easier for users to find platform-specific instructions.
The mentee set up an external Keycloak instance on Google Kubernetes Engine, integrating Cloud SQL as the backend for a robust authentication system.
The mentee deployed Microcks on GKE, using Firestore as the data storage, showcasing a production-grade configuration using GCP services.

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Medium

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The David vs Goliath of AI: Why Open-Source Models Are Poised to Outlast Corporate Giants

Open-source AI models like LLaMA, Mistral, and newcomers are gaining momentum and evolving rapidly.
Trust in Big Tech is decreasing due to closed-source and proprietary AI models.
Open-source AI models, driven by collaboration and transparency, have a competitive edge.
Open-source AI models are poised to dominate the future of artificial intelligence.

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Medium

327

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DeepCoder-14B-Preview: Open-Source Coding AI That Rivals Proprietary Models

Training strong coding models with RL has been hindered by the lack of high-quality datasets.
The DeepCoder team created a new training set of 24,000 validated problems by combining hand-curated problems.
Existing resources such as APPS, TACO, CodeContests, KodCode, and LeetCode are not suitable for RL benchmarks.
A custom filtering pipeline was used to ensure the quality of each problem in the dataset.

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Medium

359

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Self-Hosted Tools That Fly Under the Radar

This list offers practical and lesser-known alternatives for small and medium-sized businesses to replace Big Tech services.
The selected tools prioritize self-hostability, reliability, and business-ready features, while remaining light on system requirements and vendor lock-in.
Self-hosting provides control of data, cost savings, and enhanced privacy for businesses.
One of the featured tools is HedgeDoc, a real-time collaborative markdown editor, suitable for team documentation and meeting notes.

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Hackernoon

251

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Ever Wanted to Run a Data Engine on Kubernetes? SeaTunnel Just Made It Weirdly Simple

SeaTunnel provides a method to run the Zeta engine in cluster mode on Kubernetes.
The process involves uploading SeaTunnel to the server, building the SeaTunnel image in Docker, and loading the image into Kubernetes.
Config maps and Reloader are used to manage the configuration and restart pods automatically.
Once the setup is complete, tasks can be run in the Zeta engine cluster.

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Hackernoon

224

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This One Data Company Abandoned DataX, Upgraded to SeaTunnel, and Turbocharged Its Workflows

JoyaData Communications upgraded from DataX to Apache SeaTunnel for data synchronization, citing issues with DataX's single-node deployment and lack of clustering support.
SeaTunnel was chosen for high availability, upsert support, and simpler configurations, leading to faster workflows and scalability.
A three-month transition period from dataX to SeaTunnel included testing version 2.3.3 and subsequent migration to version 2.3.4 for improved performance.
SeaTunnel's architecture empowered more efficient data integration and synchronization through a revamped web page and integration with Apache DolphinScheduler.
Efficiency tests showed seaTunnel handling 90,000-100,000 records per second from TDSQL to Kafka and sometimes reaching 200,000 records per second to OSS.
Common performance issues in SeaTunnel, such as slow speed, were addressed by identifying slow reading or writing processes.
Barriers like JAR conflicts due to database version incompatibility were resolved by implementing strict class load isolation in SeaTunnel's upcoming release, v2.4.
New users are advised to read official documentation, run official packages, dive into source code, adjust configurations, and organize the learning process to expedite SeaTunnel adoption.
Utilizing examples and the E2E module along with community resources can aid in learning and using SeaTunnel efficiently.
The use of SeaTunnel not only enhanced technical growth through deep architecture understanding but also provided valuable insights into distributed systems and unique technologies.
Community discussions are ongoing regarding support for bulkload plans and techniques for column renaming in SeaTunnel.

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Medium

170

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Open-Source Projects Developed in 2025 That Amused Me

The Fuck is a Python-based CLI tool that corrects previous console commands with sass.
HTTPie CLI is a modern, user-friendly command-line HTTP client that makes API testing fun.
The Fuck has over 50K stars on GitHub and is actively maintained with updates for better compatibility and new rules.
HTTPie CLI provides color-coded, emoji-filled output and supports real-time collaboration for debugging APIs.

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Medium

296

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Top Python Open-Source Projects in 2025 You’ve Probably Never Heard Of

PyBoy: A Python-powered emulator for the classic Game Boy that allows you to run nostalgic games and learn low-level programming and emulation tricks.
Textual: A Python library for building rich, interactive terminal UIs, enabling the creation of dashboards, forms, and mini-apps within the CLI.
Dtale: A hidden gem for data scientists, providing a web-based UI to analyze Pandas DataFrames interactively and obtain instant visualizations and statistics.

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17 Likes

Medium

139

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Top Rust Open-Source Projects in 2025 You’ve Probably Never Heard Of

Dioxus: A cross-platform UI framework in Rust for building UIs that run everywhere.
Rucola: A markdown note manager TUI app in Rust for CLI lovers who want a fast and tag-friendly note-taking experience.
Kickoff: A lean and mean Wayland-native program launcher in Rust for Linux enthusiasts.

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8 Likes

Medium

256

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Apache DolphinScheduler 3.3.0 Alpha Released: Major Enhancements and Performance Upgrades!

Apache DolphinScheduler released version 3.3.0 alpha with major enhancements and performance upgrades.
The 3.3.0 alpha version brings breakthrough improvements in task management, fault tolerance, and scalability.
The release includes DSIPs, new functionalities, bug fixes, installation guides, and contributor documentation updates.
The release was made possible by the collaboration of community developers.

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Medium

103

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Meet Kimi-VL and Kimi-VL-Thinking

Kimi-VL is an open-source vision-language model by Kimi.ai, using a Mixture-of-Experts framework with 3 billion parameters for computational efficiency and MoonViT for high-resolution visuals.
It excels in long-context tasks with windows up to 128K tokens, achieving high scores on benchmarks like OCRBench, MMLongBench-Doc, and LongVideoBench.
Kimi-VL-Thinking enhances Kimi-VL with advanced reasoning skills for mathematical and logical tasks, scoring well on MathVision and ScreenSpot-Pro benchmarks.
Both models optimize resource usage with a MoE architecture, activating ~3B parameters for scalability and fast inference, making them ideal for real-world applications.
MoonViT vision encoder enables native processing of high-res images for improved performance in tasks like OCR, surpassing competitors in text extraction.
Trained on a diverse dataset including mathematics, coding, and knowledge domains, Kimi-VL-Thinking uses Chain-of-Thought reasoning to solve complex problems efficiently.
Their MoE architecture reduces computational overhead while maintaining high performance, demonstrating efficiency in multimodal tasks.
Kimi-VL-Thinking excels in mathematical reasoning and agent tasks like UI navigation, making it a versatile choice for applications requiring logical analysis.
Kimi.ai releases these models under MIT licenses, fostering community collaboration and innovation in AI development.
Kimi-VL and Kimi-VL-Thinking offer cost-effective solutions for enterprises seeking to process multimodal data efficiently, supported by accessible weights and documentation on Hugging Face.

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The Robot Report

103

OpenMind and DIMO provide car-to-robot connectivity to realize smart cities

OpenMind and DIMO are partnering to enable car-to-robot connectivity for smart cities.
OpenMind is developing a decentralized architecture for intelligent machines to communicate and collaborate.
DIMO is a leading DePIN protocol for vehicles, applying blockchain-powered technology for identity, permissions, and data access.
The partnership aims to create a working proof of concept that allows seamless information sharing and smart automation between robots and vehicles.

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Bitcoinmagazine

287

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Jack Dorsey’s Block Launches Open Source Tools to Simplify Bitcoin Treasury Management

Block, led by Jack Dorsey, has released an open source toolkit to simplify Bitcoin treasury management.
The toolkit includes a corporate Bitcoin holdings dashboard and a real-time price quote API.
The dashboard allows companies to monitor the dollar value of their Bitcoin holdings and offers simplicity and adaptability.
Block aims to support Bitcoin adoption in corporate treasury by providing tools for diversification, ecosystem support, inflation hedge, and portfolio optimization.

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