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The article examines the potential impacts of the COVID-19 pandemic on the future of office work, highlighting the growing trend of remote work and the likelihood of a more distributed workforce model as companies reassess their real estate needs.

The article explores the story of 'Mr. Deepfakes,' the creator of the world's most notorious AI-powered pornography website, and the ethical and legal implications of his actions, which involved the non-consensual use of individuals' images to create explicit content.

The article explores predictions about the future of AI in 2026, including advancements in areas like natural language processing, computer vision, and robotics, as well as potential impacts on various industries and concerns around AI safety and ethics.

A massive volcanic eruption in 536 CE may have contributed to the onset of the Black Plague in Europe centuries later. The eruption caused global cooling and crop failures, potentially weakening populations and making them more susceptible to the disease when it arrived.

The article discusses the PromptPwnd attack, which exploits vulnerabilities in GitHub Actions and AI models to gain unauthorized access and escalate privileges. It highlights the importance of securing AI-powered systems and workflows to prevent such attacks.

Civic nationalism is a form of nationalism where the nation is defined by a shared commitment to a political ideology, rather than by ethnicity, race, or religion. It emphasizes the idea of citizenship and civic values, such as democracy, rule of law, and individual rights, as the basis for national identity.

The article explores the economic significance of Pantone's annual Color of the Year announcement, highlighting how it influences consumer trends, product design, and the broader fashion and design industries. It discusses the strategic marketing and commercial implications of Pantone's color selection and its impact on businesses and consumer behavior.

The article reports that the number of Common Vulnerabilities and Exposures (CVEs) in November 2022 fell by 25% year-over-year, driven by slowdowns at major cyber security incident response firms. It highlights that the decline is likely due to a reduced number of disclosures rather than a reduction in actual vulnerabilities.

The article discusses reverse benchmarking, a technique that compares a company's own performance to its competitors' publicly available data. It explains how this approach can provide valuable insights into a company's market position and identify areas for improvement.

This article explores the elusive Bay Cat, one of the world's least-known feline species found in the forests of Borneo. Researchers are using camera traps and other techniques to study the habits and distribution of this enigmatic cat, which remains one of the planet's most mysterious large carnivores.

The article discusses Intellivision Sprint, a driving simulation game for the Intellivision console, featuring realistic car controls and various racing modes on diverse tracks, providing a challenging and immersive racing experience for players.

This article explores the potential risks of patents in open-source software and provides an overview of available solutions, including patent pledges, defensive patent licensing, and open-source patent strategies, to help open-source projects and contributors navigate the complexities of patent law.

The article discusses strategies to speed up the Rust compiler in December 2025, such as optimizing the compiler's internals, improving the dependency resolution process, and utilizing parallel compilation. It provides insights into the ongoing efforts to enhance the Rust compilation experience for developers.

The article discusses the importance of authentication in web development, highlighting the need for a secure, seamless experience for users. It explores the concept of 'vibe coding', where developers focus on creating an intuitive and enjoyable authentication process that aligns with the overall user experience of the application.

The article discusses how non-profit organizations can play a crucial role in developing trustworthy software by focusing on security, transparency, and community engagement, rather than profit-driven motives.

Hi HN,

There are several tools that help you search through the monthly "Who is Hiring" posts on Hacker News. The primary difference with this one is it includes chat, semantic search as well as a semantic map visualization (select "business" from the dropdown and expand to get a sense of how this can be used). Behind the scenes it uses LLM instructions in batch to extract, format, tag the job posts, computes UMAP after everything settles while of course making everything searchable.

You can use the basic text search to quickly filter the results or alternatively use semantic search (toggle via the button in the search bar).

Finally, you can chat with the job postings as well (click the Chat button). It has a basic RAG type pipeline but also includes some tools which make it possible to ask broader questions like "What are the general themes in the job postings this month?" and dig down from there.

Anyway, I hope people find this useful. Any feedback is welcome (either here directly or feel free to use the contact page here https://nthesis.ai/contact which dog foods the same mechanism - no contact info required).

If you want to build something similar there is an API and a nice (in my opinion) CLI tool than can be used to ingest data, search or chat as well.

This article discusses the importance of building a strong developer experience (DX) in the medical technology (medtech) industry. It highlights the key challenges and strategies for creating an engaging DX, such as streamlining developer workflows, providing comprehensive documentation, and fostering a collaborative community.

This paper presents a new deep learning model for natural language processing tasks, achieving state-of-the-art performance on a variety of benchmarks. The model introduces novel architectural and training innovations that significantly improve efficiency and accuracy compared to previous approaches.

The article discusses a novel machine learning algorithm called DIFR (Differentiable Iterative Feature Refinement) that can learn and refine features automatically during the training process, leading to improved performance on various machine learning tasks.

The article discusses the latest developments in India's space program, including the Chandrayaan-3 lunar mission, the Gaganyaan human spaceflight program, and the growing commercial and military applications of India's space capabilities.

After several months of development, we’re opening a private beta for HowOne, a platform for building agentic apps that can self-optimise and evolve over time. The core idea: turn an idea into a functioning agent-powered app in minutes. The platform includes users, databases, tools, and payment integration out of the box. No glue code. No infra setup. We’re looking for 300 early technical users(invite code CD0AP6) willing to stress-test the system, break things, and tell us what’s missing. This isn’t a marketing push — we need real feedback from builders who care about automation, agent workflows, and rapid product iteration. Beta includes: • 3 months of Pro access • Founding User badge + lifetime discount • Early access to experimental modules • Input on roadmap priorities • Featured slots in the Template Marketplace • 1v1 workflow or app-design coaching If you’re building automations, AI tools, or agentic workflows, we’d appreciate your feedback.

I really like wine, but my knowledge is not that extensive and in particular drops off pretty rapidly outside of California wines. Even within varietals and regions I’m familiar with, I don’t always know what characteristics to expect from a specific bottle - will this zin be peppery? Juicy? Etc.

I built an app to streamline this. You set what kind of wine you’re looking for and your price point, take a picture of the wine list, and it does the rest. It returns the menu ranked by: - Alignment: How well it matches your flavor preferences. - Value: The markup compared to retail price. - Quality: Critics’ scores and online ratings.

It also provides a full description/tasting notes for each wine, which many wine lists leave out.

The Tech Stack

- Client: React Native

- Backend: FastAPI, deployed on Google Cloud Run

- DB: Firestore & Algolia

Here are the major pieces of the pipeline:

Image to Wine List: This is a combination of standard OCR and agentic image recognition. OCR alone couldn’t correctly parse layout (grouping prices with the right items), but "agentic alone" often hallucinated characters. I used Google Vision for the raw text and Gemini 2.5 Flash Lite to structure it.

Matching (List → Database): Actually the hardest part. Wine lists take a lot of liberty with naming, and it’s tricky to know if a fuzzy match is close enough. I used Algolia here with custom ranking rules.

Agentic Augmentation: I have a pre-built database, but to fill in missing entries in real-time, I need live search. I tried Tavily, Perplexity, and Google Search Grounding. Perplexity (Sonar Pro) ended up being the best balance of accuracy and performance.

Recommendation: Gemini 2.5 Flash Lite for flavor profile matching, and regular old math for calculating scores based on value and ratings.

Takeaways:

AI needs guardrails: It works really well if you use it in small doses with real input data. You can’t (yet) go straight from a photo to a recommendation list in a single prompt without hallucinations.

The Latency Trade-off: It’s hard to get both speed and quality. Since this is for a restaurant setting, I had to work hard to minimize LLM calls to keep it from feeling sluggish.

The article explores how build systems can be viewed as spreadsheets, with dependencies and build steps represented as cells and formulas. It suggests that this perspective can lead to more robust, maintainable, and composable build systems.