Open Source News & Articles on Techminis

A naukri.com initiative

New

Home

Open Source News

Medium

133

Image Credit: Medium

The Invisible Labor Crisis in Open-Source: Who Pays the Price?

Developers worldwide rely on open-source tools, often maintained by a single unpaid maintainer.
The sabotage of faker.js highlighted the issue of open-source burnout cases.
Tech giants profit from open-source labor, while some projects thrive with funding models.
Elasticsearch and Redis adopted new licenses for survival and more projects may follow.

Read Full Article

8 Likes

The New Stack

Image Credit: The New Stack

Harness Kubernetes Costs With OpenCost

The rising complexity and costs associated with Kubernetes have become a common concern for many organizations.
Cloud Foundry Korifi, built on Kubernetes, simplifies application deployment and management by abstracting away complexities.
OpenCost, an Open Source CNCF project, offers comprehensive cost visibility and optimization capabilities for cloud infrastructure.
Korifi streamlines application deployment, supports various languages, automates networking, and enhances the developer experience.
OpenCost provides insight into cloud spending, supports multiple providers, aids data-driven decision-making, and encourages community-driven development.
Installing Korifi and OpenCost on a local Kubernetes cluster involves using Helm and following specific configurations.
OpenCost UI displays cost information per pod and namespace, aiding in accountability, optimization, and anomaly identification.
Utilizing open source tools like OpenCost with Korifi allows for monitoring costs at a granular level, aiding in better resource allocation decisions.
The integration of OpenCost with Kubernetes clusters offers insights into infrastructure costs beyond just cloud provider charges.
Understanding and optimizing costs through tools like OpenCost and Korifi helps engineering teams make informed decisions for resource allocation.

Read Full Article

1 Like

TechCrunch

343

Image Credit: TechCrunch

OpenAI debuts Codex CLI, an open source coding tool for terminals

OpenAI is launching Codex CLI, a coding "agent" designed to run locally from terminal software.
Codex CLI links OpenAI’s models with local code and computing tasks, allowing the models to write and edit code on a desktop and perform certain actions.
OpenAI plans to give out $1 million in API grants to eligible software development projects using Codex CLI.
Although AI coding tools like Codex CLI bring benefits, they also come with risks, such as potential security vulnerabilities and bugs.

Read Full Article

20 Likes

Eu-Startups

302

British startup Portia AI bags €5 million to help developers build AI agents in production with better human oversight

London-based startup Portia AI secured €5.1 million in funding to empower developers with the tools to build production-grade AI agents with better human oversight.
The funding round was led by General Catalyst and supported by First Minute Capital and Stem AI.
Portia AI, co-founded by former Stripe and Google leads, offers an open-source SDK to build controllable and authenticated agents and provides complimentary cloud features for easy production deployments.
The company aims to address the challenges of deploying reliable agents in production and is focused on creating more reliable AI agents for various applications.

Read Full Article

18 Likes

Hackernoon

409

Image Credit: Hackernoon

The $0 Scheduler That Almost Cost a Compny Everything

A company faced severe CPU load spikes and system crashes during task triggers when migrating to DolphinScheduler.
The issue was found to be related to improper scheduler configuration, not the number of tasks.
They balanced machine load and task demands by adjusting thread settings in DolphinScheduler.
The company transitioned from Alibaba Cloud DataWorks to a self-built big data platform due to budget constraints.
Initially using 4 ECS servers for the platform, resources were gradually transitioned from DataWorks to DolphinScheduler.
High CPU load spikes occurred during task scheduling intervals, causing system instability and crashes.
Investigations revealed that adjusting thread settings and CPU limits in DolphinScheduler resolved the CPU spike problem.
Configuration adjustments were made in DolphinScheduler's master and worker components to ensure smoother task execution.
JVM memory settings were also optimized in the start.sh scripts for both master and worker components.
Balancing thread counts and CPU limits helped stabilize CPU usage during task triggers and prevent system crashes.

Read Full Article

24 Likes

The Robot Report

441

Hugging Face bridges gap between AI and physical world with Pollen Robotics acquisition

Hugging Face has acquired French robotics firm Pollen Robotics to bridge the gap between AI and the physical world.
Pollen Robotics' flagship product, Reachy 2, a modular humanoid robot, will be added to Hugging Face's portfolio, aiming to position robots as the next frontier for AI.
The acquisition will integrate Hugging Face's AI tools with Reachy's hardware, enabling the development of open-source, customizable robotic systems.
Hugging Face envisions a future where advanced robotics is accessible to a wider audience, promoting an open, affordable, and private approach.

Read Full Article

26 Likes

The New Stack

410

Image Credit: The New Stack

The Kro Project: Giving Kubernetes Users What They Want

Big tech companies, including Google, Amazon, and Microsoft, have collaborated on an open source project called Kro - the Kubernetes Resource Orchestrator.
Kro aims to simplify Kubernetes custom resource orchestration and address the challenge of resource orchestration while maintaining cloud flexibility.
The collaboration emerged in response to customer demand for a Kubernetes-native, cloud-agnostic tool that can run on any Kubernetes cluster provided by any vendor.
Kro, still in its alpha stage, has attracted significant community interest and is focused on enabling core features and becoming production-ready.

Read Full Article

24 Likes

Nvidia

236

Image Credit: Nvidia

Math Test? No Problems: NVIDIA Team Scores Kaggle Win With Reasoning Model

The NVIDIA team recently won the AI Mathematical Olympiad's competition on Kaggle with an AI reasoning model.
Team members from different locations participated in the competition, continuously submitting and improving their model.
Their model excelled at generalizing to unseen data, correctly answering 34 out of 50 Olympiad questions within five hours.
Named NemoSkills, the team utilized NeMo-Skills for LLM training and used a combination of natural language reasoning and Python code execution.
The team's winning model, based on Qwen2.5-14B-Base, underwent knowledge distillation to optimize performance.
They employed techniques like asynchronous processing and FP8 quantization using TensorRT-LLM for faster inference.
The model performed exceptionally well on the competition's final dataset, showcasing its generalizability and avoiding overfitting.
The team plans to release a technical report, share their techniques, and contribute to NeMo-Skills pipelines on GitHub.
Using tools across the NVIDIA software stack, the team's optimizations have been integrated into open-source libraries.
Team members regained titles such as Kaggle World Champion, Kaggle Grandmaster, and directed the prize towards charitable organizations.
The team includes Igor Gitman, Darragh Hanley, Christof Henkel, Ivan Moshkov, Benedikt Schifferer, Ivan Sorokin, and Shubham Toshniwal.

Read Full Article

14 Likes

Medium

Image Credit: Medium

What I Learned Hunting My Online Doppelgängers With Sherlock

Using the open-source tool Sherlock, the author scanned over 300 websites to find where their username appeared.
The results revealed various online platforms such as GitHub, Dev.to, and Reddit associated with the username.
The experience highlighted the amount of personal information available and the need to maintain online privacy.
The author encourages the use of open-source tools to regain control over digital identities.

Read Full Article

3 Likes

Medium

Image Credit: Medium

Supercharge Your AI with Deep Research: Building Self-Refining Research Agents

Deep Research is an open-source AI-powered research assistant that combines search engines, web scraping, and large language models.
The self-refining research capabilities of Deep Research have applications in various industries, offering customization options for specific domains.
It analyzes findings, identifies new avenues for exploration, and continuously refines its approach based on what it discovers.
Deep Research can be integrated with chatbot systems, enhancing their abilities to provide detailed information and handle complex inquiries.

Read Full Article

2 Likes

Marktechpost

308

THUDM Releases GLM 4: A 32B Parameter Model Competing Head-to-Head with GPT-4o and DeepSeek-V3

Tsinghua University has released GLM 4, a 32B parameter model.
GLM 4 offers robust multilingual support and incorporates innovative reasoning strategies.
GLM 4 performs comparable to larger models like GPT-4o and DeepSeek-V3 in reasoning-centric benchmarks.
The release of GLM 4 fills the performance gap between smaller and larger language models.

Read Full Article

18 Likes

TechCrunch

Image Credit: TechCrunch

Jim Zemlin on taking a ‘portfolio approach’ to Linux Foundation projects

The Linux Foundation has evolved into an umbrella organization for a diverse range of open source projects, extending beyond its origins as the steward of the Linux kernel.
Jim Zemlin, the executive director of the Linux Foundation, emphasizes the importance of a 'portfolio approach' to cover various technological domains.
The Foundation's portfolio approach enables diversification, harnessing expertise across different technology sectors.
This approach facilitates collective support for projects facing challenges like regulatory compliance and cybersecurity risks.
The collaboration with the OpenInfra Foundation exemplifies the benefits of pooling resources and expertise to address common industry challenges.
The Linux Foundation's expansion includes regional entities like LF India and LF Europe to support local collaboration while maintaining global participation.
In the realm of AI, the Linux Foundation advocates for a nuanced approach to defining open source AI through the Model Openness Framework.
Zemlin highlights the significance of open source in the AI space, citing the impact of companies like DeepSeek in driving innovation.
The Linux Foundation's strategy involves creating new projects as well as acquiring existing ones, aiming to fulfill industry needs through an open source model.
Dubbed as a 'reverse venture capitalist,' the Foundation focuses on 'project-market' fit and technology impact rather than profits.

Read Full Article

5 Likes

Medium

Image Credit: Medium

Top 12 Open-Source No-Code Tools Developers Can’t Stop Starring on GitHub ⚡⭐

No-code tools on GitHub are gaining popularity among developers.
No-code doesn't eliminate logic or skill, it simply saves time.
Top 12 open-source no-code projects on GitHub are solving real problems.
One of the popular projects is Formily, which simplifies building dynamic forms.

Read Full Article

Medium

216

Image Credit: Medium

The Hidden Cost of ‘Free’ AI Tools: Why Open Source Isn’t Always Ethical

Open-source AI tools are often celebrated for democratizing access to cutting-edge technology.
However, some open-source AI models come with restrictive licenses that hinder commercial use for larger companies.
Full transparency and disclosure of training data and workflows are essential for true open source, but many AI companies withhold this information.
Open-source AI tools can still be biased, as they may train on unvetted datasets containing discriminatory content.

Read Full Article

12 Likes

Medium

201

Image Credit: Medium

5 Open Source Projects That Will Shape 2025 — Developers, Don’t Miss These

Encore is an open-source tool that allows developers to build Go and TypeScript backends with clean APIs, background jobs, pub/sub, and databases within the same codebase, eliminating the need for third-party tools and complex configurations.
Encore is fast, scalable, and simplifies the process of setting up backend infrastructure from scratch by automating tasks such as cloud deployment.
Another open-source tool mentioned in the article is TwilioQuest, which is a game-based interactive coding tutorial that makes learning to code more engaging and fun.
The article emphasizes the importance of open-source projects in shaping the future of software development and recommends developers to explore these projects to make their lives easier.

Read Full Article

12 Likes

For uninterrupted reading, download the app

Open Source News

Discover more