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Medium

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Develop a Python Package and Publish It Using GitHub Actions

Develop a Python Package and Publish It Using GitHub Actions
In this guide, we will develop and publish a simple password generator package called passwarrior.
The package structure is set up and a simple password generator function is added.
The package is built, uploaded to PyPI, and a GitHub Actions workflow is defined for automated publishing.

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Gizchina

2.1k

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Google to Develop Android OS Privately Starting Next Week

Google has announced that all Android development will now happen within its internal branches.
This move aims to streamline the development process and prevent conflicts when merging different versions of Android.
Updates for Android users and tools for app developers will see minimal impact.
However, it will limit the public's ability to track and discover upcoming features and devices through the Android Open Source Project (AOSP).

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Medium

10h

114

11 Proven Strategies for Developers to Earn Side Income

Engaging in open source projects can be financially rewarding. Platforms like Opire connect developers with bounties for resolving real-world issues.
Consider technical writing as a way to earn side income. Many companies are willing to pay for guest writers for their blogs.
Participate in hackathons for cash prizes and networking opportunities. Even if you don’t win, the projects you develop can enhance your portfolio.
Freelancing, developing digital products, and monetizing APIs are other strategies for developers to earn side income.

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6 Likes

Medium

15h

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Wan 2.1 Unveiled: The Open-Source Powerhouse Challenging Giants in AI Video Generation

Wan 2.1 is an open-source video foundation model developed by the Wan Team at Alibaba Group.
It offers state-of-the-art performance, efficiency, and a versatile range of capabilities for video generation.
Wan 2.1 aims to bridge the gap between proprietary systems and tools available to the open-source community.
This open initiative is changing the game in AI-driven video generation.

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Medium

Whoever owns your data ends up owning you: Facts About Data Privacy

The moment you share sensitive information, you also reveal a piece of your personality.
Data from platforms like WhatsApp, Zoom, and Google Workspace contribute to the creation of a comprehensive digital portrait of individuals.
The extensive profiling associated with data collection poses risks, such as discrimination, targeted advertising, and political manipulation.
To protect personal freedom and self-determination, individuals need to actively engage with data privacy and re-evaluate their digital habits.

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VentureBeat

238

Researchers warn of ‘catastrophic overtraining’ in Large Language Models

A study warns of 'catastrophic overtraining' in Large Language Models (LLMs).
Researchers have found that extended pre-training can make language models harder to fine-tune, degrading their performance.
Increased pre-training can lead to reduced effectiveness when models are later fine-tuned.
Additional training beyond a certain point leads to diminishing and even negative returns in fine-tuning outcomes.

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14 Likes

TechCrunch

2.5k

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Open source devs are fighting AI crawlers with cleverness and vengeance

Open source developers are facing challenges with AI web-crawling bots, as they are disproportionately affected due to sharing more infrastructure publicly and having fewer resources.
An AI bot named AmazonBot caused DDoS outages by disobeying robot.txt rules on a Git server website hosting FOSS projects.
FOSS developer Xe Iaso created Anubis, a reverse proxy check inspired by Egyptian mythology, to block bots and allow human-operated browsers.
Anubis gained quick popularity in the FOSS community by preventing bot requests with a proof-of-work check and presenting a cute anime picture for successful human requests.

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19 Likes

Siliconangle

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OpenAI adds support for Anthropic’s MCP LLM connectivity protocol

OpenAI is adding support for Anthropic's MCP LLM connectivity protocol.
MCP is an open-source technology that allows large language models to perform tasks in external systems and access their data.
OpenAI will integrate MCP into ChatGPT's desktop client and Responses API for easier access to external systems.
Anthropic's MCP protocol provides software building blocks to quickly connect LLMs to external systems, making integrations easier and faster.

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3 Likes

Marktechpost

Meet Open Deep Search (ODS): A Plug-and-Play Framework Democratizing Search with Open-source Reasoning Agents

Researchers from University of Washington, Princeton University, and UC Berkeley have introduced Open Deep Search (ODS), an open-source search AI framework designed for seamless integration with any user-selected large language model (LLM).
ODS comprises two central components: the Open Search Tool and the Open Reasoning Agent, which enhance content retrieval and reasoning accuracy.
ODS demonstrates superior performance compared to proprietary alternatives, achieving higher accuracy on benchmark tests.
By democratizing search-enhanced AI, ODS encourages innovation, transparency, and broader participation in the development of sophisticated search and reasoning capabilities.

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Medium

385

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Open Source Products — It’s Time

Applying open source methods can revolutionize various industries, not just software.
NodeCosmos offers a holistic view of product components and processes, organizing them into transparent chunks.
Using branches in NodeCosmos allows for collaborative contributions, ensuring continuous improvement.
Open models foster inclusivity, empowering unexpected sources of insights, and future-proof projects in a rapidly evolving world.

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23 Likes

Hackernoon

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Leveraging RAG With Reddit URLs on Diabetes: Open Source LLMs for Enhanced Knowledge Retrieval

Pre-trained LLMs, being open source, offer valuable assistance in knowledge retrieval, using RAG to leverage generative power while incorporating external knowledge.
Utilizing LLMs like Ollama for sourcing experiential data on diabetes is illustrated in a step-by-step experiment using Reddit URLs.
The process involves fetching and processing content from multiple URLs, splitting text into chunks, initializing Ollama embeddings, and creating a FAISS vector store.
Ollama LLM is then used to generate responses based on stored knowledge, allowing RAG to retrieve context and answer user queries effectively.
The ask_question_with_fallback function is designed to query and respond to user questions using stored knowledge, falling back on general knowledge if needed.
In the absence of relevant documents, the fallback function utilizes the LLM's general knowledge to address user inquiries, promoting efficient knowledge retrieval.
The methodology showcases the powerful application of RAG with URLs for improved knowledge access in diabetes inquiries, combining real-world insights from platforms like Reddit with LLMs.
By merging community insights with open-source LLM capabilities, this cost-effective approach enhances personalized information on diabetes management, understanding the importance of lived experiences.
The evolving potential of AI in healthcare, exemplified through knowledge-enhanced retrieval systems, signifies a collaborative and supportive future for individuals navigating diabetes.

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1 Like

TechCrunch

363

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eBay backs WunderGraph to build an open source GraphQL federation

eBay-backed startup WunderGraph raises $7.5 million in Series A funding to scale its open source GraphQL federation, with investors including eBay Ventures.
WunderGraph aims to address API sprawl in the GraphQL ecosystem by offering an open source alternative to GraphQL products like Apollo.
Founded in 2020, WunderGraph's core team includes CTO Dustin Deus, CEO Jens Neuse, COO Björn Schwenzer, and CCO Stefan Avram, with operations based in the U.S.
GraphQL optimizes API data retrieval, reducing bandwidth usage and costs while supporting the API economy's shift towards microservices.
WunderGraph's platform unifies multiple APIs and databases, enabling collaboration and exploration, with a recent focus on open source federation.
In response to Apollo's license change, WunderGraph introduced Cosmo as an open source alternative for GraphQL federation in late 2023.
Partnering with eBay, WunderGraph gains design input for building a scalable product, while eBay benefits from an open source GraphQL federation tailored to its needs.
WunderGraph emphasizes open source as essential for attracting big-name customers and plans to expand its team and offerings with the new funding.
With a focus on smart collaboration and governance tools, WunderGraph sees open source as the future of API management, catering to enterprises' demands for transparency and control.

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21 Likes

Mjtsai

254

Apple’s Dormant CUPS

CUPS (Common UNIX Printing System) was originally developed by Michael Sweet in 1999 and later adopted by Apple in 2002.
Since the lead developer's departure from Apple in 2019, the CUPS git repository has become dormant, with minimal activity observed.
The Linux Foundation's OpenPrinting has created a temporary fork of CUPS to continue bug fixes and distribution patches.
If Apple ceases CUPS development, OpenPrinting plans to continue the project with the help of Michael Sweet.

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15 Likes

Silicon

292

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Signal App In Spotlight Amid Secret Chat Controversy Of US Officials

The Signal messaging app is under scrutiny after a journalist was inadvertently added to a secret chat of senior White House officials.
The US National Security Council is investigating how the journalist's number was added to the chat.
The use of a commercial messaging app for discussing secret military plans has raised security concerns.
Signal is a messaging app with end-to-end encryption, owned by a US-based non-profit organization.

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17 Likes

Siliconangle

205

Image Credit: Siliconangle

Google’s Gradient Ventures leads $1.2M round for Silverstream AI to scale autonomous web agents

Silverstream AI has raised $1.2 million in pre-seed funding from Gradient Ventures to scale autonomous web agents.
The company focuses on developing infrastructure and tools to build, scale, and monitor autonomous web browsing agents.
Silverstream AI provides a Privacy & Safety Layer to manage sensitive data and a Decision Making Engine to control browser sessions.
Silverstream AI also announced the upcoming release of Pasta-1T, an open dataset of web trajectories for training web agents.

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