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The article discusses the author's preference for writing code by hand rather than using a computer. It highlights the benefits of this approach, including better focus, creativity, and a more enjoyable coding experience.

The article explores the development of a new real-time global illumination technique called 'GBShader', which aims to provide realistic lighting in 3D graphics while maintaining high performance. It discusses the key features, technical details, and potential applications of this rendering technique.

https://x.com/mitchellh/status/2020252149117313349

https://nitter.net/mitchellh/status/2020252149117313349

https://github.com/ghostty-org/ghostty/pull/10559

The article discusses an issue with Visual Studio Code where the editor fails to save changes to files, potentially leading to data loss. The issue appears to be related to a specific configuration or setup, and the discussion explores potential workarounds and solutions to address the problem.

CATL and Changan unveiled the world's first sodium-ion battery electric vehicle, marking a significant development in the search for alternative battery technologies to lithium-ion. This new battery technology offers potential advantages in cost, safety, and sustainability compared to traditional lithium-ion batteries.

The article discusses the challenges of software development in the era of microservices and distributed systems, highlighting the importance of observability and monitoring to ensure the reliability and resilience of complex applications.

The article discusses the discovery of malware hidden in Google search results, highlighting the ongoing threat of malicious actors exploiting popular online platforms to distribute harmful software to unsuspecting users.

The article discusses the concept of adversarial reasoning, which involves understanding and anticipating the behavior and decision-making processes of adversaries in order to gain strategic advantages. It explores how this approach can be applied in various domains, including cybersecurity, military strategy, and business decision-making.

The article discusses the recent spike in the price of oil, driven by the OPEC+ decision to cut production and the ongoing supply chain disruptions. It examines the potential economic implications of the higher oil prices, particularly for oil-dependent countries and industries.

The article discusses a response from Noam Chomsky's wife, Carol Chomsky, to allegations made about her husband's connections to Jeffrey Epstein. It highlights her perspective on the matter and provides context around the claims.

A day before Jeffrey Epstein's death, a statement was released claiming that he had sustained injuries to his neck, raising questions about the circumstances surrounding his death. The statement came from a lawyer representing a woman who alleged she was sexually abused by Epstein.

A group of tech industry workers organized a 'pro-billionaire' march in San Francisco to show support for the city's wealthy elite and their role in the local economy. The march, which drew dozens of participants, aimed to counter growing calls for increased taxation and regulation of the tech sector.

Hello everyone,

I have always loved coding and in the couple I was thinking of making an open source project and it turned out to be awesome I hope you guys like it.

I present Explore Singapore which I created as an open-source intelligence engine to execute retrieval-augmented generation (RAG) on Singapore's public policy documents and legal statutes and historical archives.

The objective required building a domain-specific search engine which enables LLM systems to decrease errors by using government documents as their exclusive information source.

What my Project does :- basically it provides legal information faster and reliable(due to RAG) without going through long PDFs of goverment websites and helps travellers get insights faster about Singapore.

Target Audience:- Python developers who keep hearing about "RAG" and AI agents but haven't build one yet or building one and are stuck somewhere also Singaporean people(obviously!)

Comparison:- RAW LLM vs RAG based LLM to test the rag implementation i compared output of my logic code against the standard(gemini/Arcee AI/groq) and custom system instructions with rag(gemini/Arcee AI/groq) results were shocking query:- "can I fly in a drone in public park" standard llm response :- ""gave generic advice about "checking local laws" and safety guidelines"" Customized llm with RAG :- ""cited the air navigation act,specified the 5km no fly zones,and linked to the CAAS permit page"" the difference was clear and it was sure that the ai was not hallucinating.

Ingestion:- I have the RAG Architecture about 594 PDFs about Singaporian laws and acts which rougly contains 33000 pages.

How did I do it :- I used google Collab to build vector database and metadata which nearly took me 1 hour to do so ie convert PDFs to vectors.

How accurate is it:- It's still in development phase but still it provides near accurate information as it contains multi query retrieval ie if a user asks ("ease of doing business in Singapore") the logic would break the keywords "ease", "business", "Singapore" and provide the required documents from the PDFs with the page number also it's a little hard to explain but you can check it on my webpage.Its not perfect but hey i am still learning.

The Tech Stack: Ingestion: Python scripts using PyPDF2 to parse various PDF formats. Embeddings: Hugging Face BGE-M3(1024 dimensions) Vector Database: FAISS for similarity search. Orchestration: LangChain. Backend: Flask Frontend: React and Framer.

The RAG Pipeline operates through the following process: Chunking: The source text is divided into chunks of 150 with an overlap of 50 tokens to maintain context across boundaries. Retrieval: When a user asks a question (e.g., "What is the policy on HDB grants?"), the system queries the vector database for the top k chunks (k=1). Synthesis: The system adds these chunks to the prompt of LLMs which produces the final response that includes citation information. Why did I say llms :- because I wanted the system to be as non crashable as possible so I am using gemini as my primary llm to provide responses but if it fails to do so due to api requests or any other reasons the backup model(Arcee AI trinity large) can handle the requests.

Don't worry :- I have implemented different system instructions for different models so that result is a good quality product.

Current Challenges: I am working on optimizing the the ranking strategy of the RAG architecture. I would value insights from anyone who has encountered RAG returning unrelevant documents.

Feedbacks are the backbone of improving a platform so they are most

Repository:- https://github.com/adityaprasad-sudo/Explore-Singapore

The article explores the potential impact of smart home technologies on personal privacy and the growing concerns surrounding the data collected by these devices. It examines the complex trade-offs between convenience and security, and the need for increased transparency and regulation in the smart home industry.

The article explores the idea of Canada joining the European Union as its 28th member, rather than becoming the 51st state of the United States. It discusses the potential benefits and challenges of such a move for Canada and its relationship with both the EU and the US.

Codex runs as an MCP server, Claude orchestrates a five-perspective review (security, correctness, compliance, performance, maintainability). Drop the SKILL.md into your repo's .claude/skills/ folder. MIT licensed.

The article discusses Google's Q4 2025 earnings, highlighting the company's strong financial performance, including record revenue and profit figures, as well as its continued growth in key areas such as advertising and cloud computing.

A FAMU College of Law student claims they were banned from attending a Black History Month event due to their race, sparking controversy over discrimination and free speech issues on college campuses.

Researchers have developed a device that can disable Starlink satellites by using a high-power microwave beam, raising concerns about the potential impact on sensitive military and commercial satellite systems.

This GitHub repository provides a template for building a web application using a microservices architecture, featuring a React.js frontend, a Flask backend, and Docker for containerization and deployment.