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Siliconangle

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Mirantis open-sources k0rdent Kubernetes management platform

Mirantis Inc. has open-sourced k0rdent, a platform for managing Kubernetes clusters.
k0rdent provides a single pane of glass to manage Kubernetes clusters and acts as an IDP for internal developer platforms.
The platform is powered by three components: Cluster Manager, State Manager, and an observability tool.
k0rdent is designed to manage Kubernetes clusters deployed in various environments and supports multiple infrastructure types.

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Hackernoon

443

Image Credit: Hackernoon

Ditch the Phone Line and Try These 5 Free and Open-Source Platforms for Voice Calls Instead

VoIP (Voice over Internet Protocol) software enables video calls, messaging, and file sharing, making communication versatile. Open-source and free VoIP software alternatives are available, providing more autonomy, transparency, and control over privacy and security.
Mumble, launched in 2005, is a free and open-source voIP chat application. It was among the first VoIP tools that delivered low-latency voice communication and optimizes high-quality voice chats for various purposes.
Waterbus, launched in 2023, is a video conferencing app built on WebRTC and Flutter technologies. It supports anonymous access, screen sharing, encrypted chats, and end-to-end encrypted video calls.
qTox (Tox Chat) is a decentralized platform designed for private, secure communication with its primary goal of providing encrypted instant messaging, voice, and video calls without relying on centralized servers.
Revolt is a communication platform designed as a privacy-focused alternative to closed-source chat platforms, allowing users to connect with friends and communities while safeguarding conversations.
TeaSpeak is a voice communication platform providing a reliable way for users to connect with high-quality audio in real time. It offers an accessible solution for creating and managing private or community voice servers.
Kivach is an Obyte-based platform for cascading donations to Github projects. To donate cryptocurrency, you will need an Obyte wallet loaded with funds directly through the app using other cryptocurrencies like ETH, USDC, or WBTC.
Mumble, Waterbus, qTox (Tox Chat), Revolt, and TeaSpeak operate as community-driven projects, sustained through non-commercial efforts. Donations are voluntary, which cover operational costs and occasional expenses.
Supporting open-source VoIP software alternatives through Kivach ensures transparency for users as they have more autonomy, transparency, and control over privacy and security.
Donating to these projects ensures that they remain free, open, and independent from corporate influences while maintaining their fundamental principles of transparency, freedom, and security.

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Medium

411

Image Credit: Medium

Running DeepSeek-R1 Locally and Securely: A Complete Air-Gapped Setup Guide

Running DeepSeek-R1 Locally and Securely: A Complete Air-Gapped Setup Guide
This article provides a guide on how to run DeepSeek-R1 locally and securely in an air-gapped environment.
The guide includes hardware and software requirements, steps to clone the pre-packaged repository, and instructions for installing the DeepSeek model using the provided downloader tool.
The article also highlights the security and configuration features, such as GPU support, network and file system security, process security, and resource management, to ensure a robust and secure setup.

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Marktechpost

4 Open-Source Alternatives to OpenAI’s $200/Month Deep Research AI Agent

OpenAI's Deep Research AI Agent offers a premium research assistant for $200 per month.
The open-source community has developed four alternative open-source AI research agents to rival OpenAI's offering.
These alternatives include Deep-Research, OpenDeepResearcher, Open Deep Research by Firecrawl, and DeepResearch by Jina AI.
These open-source agents provide cost-effective, customizable solutions for AI research tasks.

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Arstechnica

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Hugging Face clones OpenAI’s Deep Research in 24 hours

Hugging Face researchers released an open source AI research agent called 'Open Deep Research', 24 hours after the launch of OpenAI's Deep Research feature.
The project aims to match Deep Research's performance while making the technology freely available to developers.
Hugging Face's solution adds an 'agent' framework to an existing AI model to enable multi-step tasks and building research reports.
This move follows OpenAI's launch of Deep Research, which allows the AI model to autonomously browse the web and create research reports.

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Medium

137

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Marketization of Open-Source

Merit Systems is a start-up aiming to change fair market dynamics into the open-source ecosystem.
The 2021 Log4Shell vulnerability was due to an overworked, under compensated maintainer due to the open-source model.
A small percentage of open-source contributors or maintainers receive financial compensations for their work.
GitHub revolutionized how open-source is written, shared, and improved, integrating seamlessly into global software supply chains.
Attempts at solving the funding issue for open source have been unsuccessful, apart from Red Hat, who sold a safety and support layer over open-source.
The current open-source model is a free-rider economy, resulting in vulnerabilities where maintainers are overworked, burnt-out, and undercompensated.
Merit Systems showed a mission to introduce a version of “Open-Source Capitalism” and enable the open-source ecosystem to function more like a market.
Merit Systems is building a software layer to create an automated ownership, payment, and attribution system for open-source projects.
Merit Systems is betting that this new model could transform the open-source model for the better.
Merit Systems believes that the market-driven solutions can work for the open-source industry and that, unlike past companies, they can solve the funding issue for open-source at scale.

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Arstechnica

123

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Go Module Mirror served backdoor to devs for 3+ years

A mirror proxy Google runs on behalf of developers of the Go programming language pushed a backdoored package for more than three years until Monday.
The Go Module Mirror caches open source packages available on GitHub and elsewhere to ensure compatibility and faster downloads.
Since November 2021, the Go Module Mirror has hosted a backdoored version of a widely used module.
The backdoored file used typosquatting, a technique that redirects users to a malicious file when they mistype or slightly vary the correct name.

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TechCrunch

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Hugging Face researchers aim to build an ‘open’ version of OpenAI’s deep research tool

Hugging Face developers have built an 'open' version of OpenAI's deep research tool called Open Deep Research.
Open Deep Research consists of an AI model, OpenAI's o1, and an open source framework to plan and analyze research.
Open Deep Research achieved a GAIA score of 54%, compared to OpenAI deep research's score of 67.36%.
While there are alternative deep research reproductions, they lack the proprietary model o3 used by OpenAI deep research.

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Marktechpost

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Deep Agent Released R1-V: Reinforcing Super Generalization in Vision-Language Models with Cost-Effective Reinforcement Learning to Outperform Larger Models

Deep Agent released R1-V, a reinforcement learning approach that enhances the generalization ability of vision-language models (VLMs) while being cost-effective.
The R1-V approach employs reinforcement learning techniques to teach VLMs to develop robust visual counting abilities, enhancing their performance in various AI applications.
Despite having only 2 billion parameters, R1-V outperforms a significantly larger model in out-of-distribution (OOD) tests, demonstrating the importance of the training methodology and reinforcement learning strategies.
R1-V's training efficiency and relatively low computational cost of $2.62 make it an attractive choice for researchers and developers seeking high performance without extensive computational resources.

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Kaspersky

Image Credit: Kaspersky

The biggest supply chain attacks in 2024 | Kaspersky official blog

Supply chain attacks are considered to be one of the most dangerous threats in the security of any firm as it occurs in infrastructure that's not within the security team's control.
Some of the major supply chain attacks of 2024 include; downloading malicious npm packages that stole SSH keys from hundreds of developers on GitHub, Trojanizing jQuery versions on jsDelivr, npm and GitHub, and attacking the cdn.polyfill.io domain to redirect users to a Vietnamese sports betting site through a fake domain impersonating Google Analytics.
The backdoor implanted in XZ Utils project could have led to the biggest supply-chain attack of 2024, which had devastating consequences, but it was detected in test versions of several Linux distributions, and most linux users remained safe.
In this era of increasing supply-chain attacks, it is crucial that businesses carefully review any code used in their projects and maintain a Software Bill of Materials (SBOM) to track dependencies and components, and ensure an XDR-class security solution in their corporate network.
Researchers urge people to monitor suspicious activity in their network using an XDR pest-control function and rope in an external service for timely threat detection and response.

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Hackernoon

219

Image Credit: Hackernoon

Open Source Solution Makes Kill-port Implementation a Breeze

A developer created an open-source solution called port-client to address the issue of slow port management.
The developer found that the existing solution, kill-port, was slow and decided to build a faster and more efficient alternative.
Port-client is 11 times faster than kill-port, allowing developers to free up ports almost instantly.
Port-client has gained significant popularity, with nearly 80,000 downloads and growing.

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Mit

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Image Credit: Mit

Introducing the MIT Generative AI Impact Consortium

MIT Generative AI Impact Consortium brings together industry leaders and MIT top minds to address social impacts of generative AI and big language models (LLMs).
The Consortium vision is rooted in MIT's core mission pushing forward newer and more efficient models, guiding their development, and impact on the world.
The Consortium is founded on three pivotal questions: How can AI-human collaboration create outcomes that neither could achieve alone? What is the dynamic between AI systems and human behavior? How can interdisciplinary research guide the development of better, safer AI technologies that improve human life?
Six founding members of the consortium are Analog Devices, The Coca-Cola Co., OpenAI, Tata Group, SK Telecom, and TWG Global who will work hand-in-hand with MIT researchers to accelerate breakthroughs and address industry-shaping problems.
The core of the consortium’s mission is collaboration—bringing MIT researchers and industry partners together to unlock generative AI’s potential while ensuring its benefits are felt across society.
One of the consortium's core goals is to guide the change in a way that benefits both businesses and society by educating global business leaders and employees on the evolving uses and applications of AI.
Participants share a common goal of advancing generative AI for broad societal benefit. Success within the initiative is defined by shared progress, open innovation, and mutual growth.
The consortium aims to prepare the workforce of tomorrow. When the first commercial digital computers were introduced, people were worried about losing their jobs. The consortium aims to help reduce the fear of missing out (FOMO) for leaders.
Generative AI is no longer confined to isolated research labs- it's driving innovation across industries and disciplines. MIT promotes this technology by connecting researchers, students, and industry leaders solving complex challenges.
The MIT Generative AI Association is one of many pushes towards changing perception about AI. In a world of robots and new technology, having a platform to discuss and learn is critical to leveraging AI for the greatest possible benefit.

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Medium

186

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Weekly AI Update: Innovations, Competitions, and the Open-Source Revolution

OpenAI has secured a $500 billion investment, highlighting the confidence in AI's potential.
Anticipation is building for GPT-5, which promises significant improvements and a seamless user experience.
Deep Seek's R1, an open-source AI model, challenges the traditional paid models, offering accessibility and competition.
Innovations like Gemini 2.0, Perplexity's enhanced API, and advanced content creation tools are reshaping the AI landscape.

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Spicyip

348

Image Credit: Spicyip

Call for Applications: SpicyIP Tech Innovation Policy Fellowship 2025 (Apply by February 23)

SpicyIP Tech Innovation Policy Fellowship 2025 is now open for applications.
The fellowship aims to contribute to the analysis of IP-related law and policy around new and emerging technologies in India.
Selected fellows will be required to write and publish at least one rigorously researched blog post of 1500 words each month.
The fellowship offers a stipend of INR 4,000 per month for the 12-month duration.

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Medium

Image Credit: Medium

The DeepSeek Divide: A Defining Moment in AI’s Global Power Struggle

DeepSeek has sparked a global AI race that is shaping government policies, market strategies, and industry alliances.
The debate over DeepSeek has created distinct factions, each with its own perspectives, motivations, and ambitions.
Skeptics call for more transparency, while validators engage in direct experimentation to provide empirical validation or refute claims.
For US lawmakers and China hawks, DeepSeek’s rise represents a geopolitical wake-up call and reinforces calls for stronger restrictions on AI hardware and technology sharing.
Investors and market analysts see DeepSeek’s efficiency breakthrough as a potential market disruptor that could reshape AI economics.
National pride and selective memory of AI progress have led some to dismiss DeepSeek’s efficiency gains, underestimating global competitors.
Major Western AI firms have downplayed DeepSeek’s success, framing it as either overhyped or dependent on unfair advantages.
The backlash against DeepSeek is more about competitive positioning than AI ethics.
Some companies are adapting quickly, incorporating DeepSeek-inspired efficiencies into their own AI strategies.
Regulators are focusing on legal and ethical concerns that could determine DeepSeek’s access to global markets.
The emergence of DeepSeek has the potential to drive down the cost of AI training and deployment, making advanced AI more accessible to a broader range of players.
DeepSeek is a defining moment in the global AI power struggle, accelerating changes in AI business models, regulation, and international competition.
AI is no longer just about technological advancement—it is about who controls the future of intelligence itself.

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