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Medium

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Open Source AI is Booming — But Can It Compete With Big Tech?

The open-source AI movement is experiencing significant growth and development by 2025, with models like Mistral, LLaMA, Mixtral, Falcon, and Qwen becoming essential in powering production systems and pushing the boundaries of AI capabilities.
The question arises whether open-source AI can compete with big tech companies like OpenAI, Google, and Anthropic, despite the trillion-dollar ecosystems they operate within.
Factors fueling the open-source AI boom include Meta's release of LLaMA 2 and LLaMA 3, which provided world-class base models for further optimization, as well as the surge in community-driven innovation from labs like Mistral, Together.ai, Cohere For AI, and EleutherAI.

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Marktechpost

Microsoft Releases NLWeb: An Open Project that Allows Developers to Easily Turn Any Website into an AI-Powered App with Natural Language Interfaces

Many websites lack accessible and cost-effective ways to integrate natural language interfaces, creating a need for an open, standardized approach like NLWeb by Microsoft.
NLWeb simplifies building conversational interfaces by enabling natural language interactions on websites through open protocols and implementations.
It consists of a simple protocol and JSON response format for natural language interactions, integrating with existing web standards and enabling AI models to ask questions.
NLWeb offers web publishers a way to easily add conversational AI to their sites, personalize content, improve user engagement, and prepare for a future where AI agents interact with websites.

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The Robot Report

ICRA Recap; OSRF on ROS 1 Sunset

Geoffrey Biggs, CTO of the Open Source Robotics Foundation, shares updates on ROS 2 Kilted Kaiju release and ROS 1 sunset during The Robot Report Podcast Episode 197
Co-host Steve Crowe recaps his experience at the 2025 ICRA event in Atlanta, highlighting humanoid robot demos and other robotics demonstrations
LimX debuts TRON 1 robot at ICRA and is focusing on research applications and artificial general intelligence (AGI)
Rainbow Robotics introduces new features for RB-Y1 system at ICRA 2025, including omnidirectional wheels and development kit for its dual-arm robot

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Medium

273

Image Credit: Medium

Flipping Out: Feature Flags Without Frustration

Feature flags, also known as feature toggles, are used by developers to control which users have access to new features in an app through experiments.
Feature flags can be complex, leading to issues like duplicated logic or production failures if not managed properly.
OpenFeature and GoFF are tools that aim to simplify the management of feature flags and provide consistency across different providers.
Feature flags are conditional switches in the app that can be used to show new features based on various conditions like user roles, geography, or app versions.
Feature flags are evaluated based on request headers or context-specific data, such as user ID and account type.
Feature flag providers like LaunchDarkly, PostHog, and ConfigCat offer SDKs for implementing feature flags, each with its own learning curve.
OpenFeature acts as a universal remote for feature flags, providing a consistent API regardless of the chosen provider.
Go Feature Flags (GoFF) offers power and flexibility, allowing users to evaluate flag states using relay proxies and supporting various languages.
Feature flags are crucial for experimentation and decision-making, allowing developers to test hypotheses with real users, analyze behavior, and make informed decisions.
Feature flags enable incremental feature rollouts, reducing risks by collecting real performance data before fully launching a new feature.
Tools like PostHog provide features for gathering and processing data to inform product decisions and enhance user experiences.

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Siliconangle

326

Image Credit: Siliconangle

Red Hat champions AI prioritization to drive open-source innovation

Red Hat Inc. is focusing on becoming an AI-first enterprise, rebuilding core systems with a three-part tech strategy centered around data readiness, AI enablement, and enterprise-wide transformation.
Through 'Red Hat on Red Hat' initiative, AI is being applied to real workflows like RFP automation and support operations to ensure compliance, security, and flexibility at scale.
AI prioritization is crucial for an AI-first enterprise, with Red Hat leveraging AI internally to improve processes and efficiency, emphasizing the importance of data quality for successful AI implementation.
Red Hat's open-source philosophy drives software innovation through open collaboration, allowing innovation to happen everywhere and encouraging community feedback for continuous improvement.

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Marktechpost

387

Microsoft AI Introduces Magentic-UI: An Open-Source Agent Prototype that Works with People to Complete Complex Tasks that Require Multi-Step Planning and Browser Use

Microsoft AI has introduced Magentic-UI, an open-source agent prototype designed for collaborating with users to complete complex web-based tasks that require multi-step planning.
Traditional AI agents often prioritize autonomy over user control, leading to outcomes diverging from user expectations. Magentic-UI aims to blend automation with real-time human input for more accurate results.
One challenge in deploying AI for web tasks is the lack of visibility and intervention, hindering user oversight and direction of the process.
Magentic-UI resolves this by offering features such as co-planning, co-tasking, action guards, and plan learning, supporting collaborative interaction for task completion.
The system consists of Orchestrator, WebSurfer, Coder, and FileSurfer agents, each handling specific tasks in a modular approach that allows for adaptive task flows.
In evaluations with the GAIA benchmark, Magentic-UI completed tasks more successfully when supported by simulated user input, showcasing a 71% improvement in task completion.
The tool's 'Saved Plans' gallery enables faster task completion by reusing strategies from past tasks, and its safety mechanisms, including Docker container sandboxing, ensure secure operations.
Magentic-UI offers user-configurable action guards for high-risk steps, passed red-team evaluations against threats like phishing and injection, and is fully open-source and integrated with Azure AI Foundry Labs.
Overall, Magentic-UI innovatively addresses the issue of transparency and controllability in AI automation, empowering users to remain central to the task completion process.
The system's robust design, learning capabilities, and emphasis on user interaction lay a strong foundation for the future development of intelligent assistants.

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Hackaday

132

Image Credit: Hackaday

Now KDE Users Will Get Easy Virtual Machine Management, Too

KDE has introduced a new project called Karton for easy virtual machine management in the KDE desktop.
Karton delivers similar functionality to GNOME Boxes and is currently in early development stages.
The project can generate new VMs, run them, and capture their screens to a desktop window, but currently only works with QEMU.
Karton is part of a Google Summer Of Code project and aims to provide open source graphical applications for effortless VM usage.

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Massivelyop

Hackers are trying to use DDoS attacks to pressure open game platform BYOND to go open source

BYOND, an online game platform, has been facing severe DDoS attacks for nearly two weeks, rendering it and its supported titles inaccessible.
Hackers behind the attacks are pressuring the site's owners to make the platform open source, but owners are resisting this ransom demand.
The DDoS attack began on May 10th, and efforts to resolve the crisis with the provider are ongoing with no estimated time for full restoration as of May 22nd.
BYOND is well-known for hosting the popular multiplayer sim Space Station 13 and is currently working on Space Station 14, which can be found on Steam.

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Automatetheplanet

260

Windows Tests Running Slow? Maybe Not for Long…

Windows desktop automation poses challenges such as slow execution, flaky tests, and inconsistent behavior across environments.
Existing tools like WinAppDriver and Appium's Windows driver fall short due to lack of updates, limited Windows support, and performance issues.
Introducing NovaWindows Driver as a solution to overcome these challenges, providing fast and reliable performance, smooth mouse movements, and improved support for complex UI elements.
The NovaWindows Driver is open-source, encouraging community contributions for enhancements and new features.
Transitioning to NovaWindows Driver from Appium Windows Driver is simple, with minimal changes required in test scripts.
For those migrating from WinAppDriver, transitioning to Appium first is recommended, with straightforward changes in capabilities format and command structure.
Bellatrix Test Automation Framework offers built-in support for NovaWindows, facilitating a robust foundation for desktop automation tests.
Overall, NovaWindows Driver aims to improve Windows desktop automation speed, reliability, and user experience, while promoting community collaboration and development.

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15 Likes

Medium

3.1k

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Microsoft Just Open-Sourced GitHub Copilot: Code, Competition, and the Coming AI Developer…

Microsoft has open-sourced GitHub Copilot, the AI coding assistant, under the MIT license, showcasing a deepened commitment to an open developer ecosystem.
The move is seen as a strategic maneuver in the competitive AI arms race and signifies Microsoft's bid for more control over the developer AI experience.
Developers can now access GitHub Copilot under the MIT license, enabling practical implications for coding and innovation in the AI coding assistant market.
While this decision democratizes access to a leading AI developer tool, potential challenges like computational costs and new market responses may arise.

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Marktechpost

241

Sampling Without Data is Now Scalable: Meta AI Releases Adjoint Sampling for Reward-Driven Generative Modeling

Generative models traditionally require large datasets for training but face challenges in fields with data scarcity, such as molecular modeling and physics-based inference.
Meta AI has introduced Adjoint Sampling, a new learning algorithm that enables training generative models using only scalar rewards, derived from complex energy functions.
Adjoint Sampling is based on stochastic optimal control (SOC) and reframes the training process as an optimization task over a controlled diffusion process, eliminating the need for explicit data.
The algorithm achieves state-of-the-art results in synthetic and real-world tasks, particularly excelling in molecular conformer generation, demonstrating its scalability and performance in diverse molecular structures.

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Medium

319

AI and what it actually means

AI was first learned about ten years ago through a middle school presentation focused on the idea of establishing artificial intelligence.
The presentation included information on machine learning, genetic algorithms, and tied in Darwin's readings on evolution to explain AI concepts.
The evolving space of AI was further understood through a presentation by the product manager for AI at Canonical at SCaLE 21x.
The need to understand AI accurately and not overcomplicate it, along with the importance of ethical considerations in AI development, was emphasized.

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Siliconangle

Image Credit: Siliconangle

Gravitee raises $60M to help developers tame API complexity

Gravitee, a digital traffic pipeline management startup, has raised $60 million in Series C funding, bringing the total amount raised to over $125 million.
The funding round was led by Sixth Street Growth and included participation from Riverside Acceleration Capital and Albion VC.
Gravitee offers an open-source API management platform that simplifies integration by providing tools for API management, deployment, and security.
The startup plans to use the funding to expand its team, fund product development, and enter new markets.

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5 Likes

Hackaday

406

Image Credit: Hackaday

Working On Open-Source High-Speed Ethernet Switch

Andrew Zonenberg is working on an open-source high-speed Ethernet switch, making progress on the project that he started in 2012.
The design includes a variety of parts, with the use of XCKU5P FPGAs influencing the project's direction as he acquired them inexpensively.
Andrew Zonenberg, known for glscopeclient (now ngscopeclient), is an experienced RTL engineer, focusing on hardware description languages like Verilog and VHDL.
Open-source hardware for high-speed Ethernet switches can be costly due to the expensive components involved, but advancements in this area are ongoing.

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Googleblog

155

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Androidify: Building powerful AI-driven experiences with Jetpack Compose, Gemini and CameraX

Androidify app has been rebuilt using the latest technology backed by Gemini to create AI-driven experiences on Android.
The app leverages Jetpack Compose, Gemini through Firebase, CameraX, and Navigation 3 to enhance user experience.
It uses Gemini API for accessing Imagen and Gemini models, Jetpack Compose for UI development, and Navigation 3 for navigation graphs.
Features include image validation, text prompt validation, image captioning, 'Help me write' feature, and image generation from prompts.
The app also utilizes ML Kit pose detection and Material 3 Expressive for UI, providing delightful animations and transitions.
Adaptive layouts ensure seamless functionality across different Android devices, including foldables and tablets.
CameraX integration enables users to base their bots on photos, while Media3 API is used to load instructional videos within the app.
Navigation 3 library is employed for screen transitions, offering control over the back stack and easy navigation between destinations.
Androidify combines Jetpack Compose, CameraX, Gemini, and adaptive design to create a personalized avatar creation experience.
The full code sample is available on github.com/android/androidify for developers to explore and build their own AI-powered app experiences.

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