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The European Union has mandated the adoption of new Wi-Fi standards, leading Apple to implement these standards in its devices. As a result, Android devices can now support AirDrop, a popular file-sharing feature previously exclusive to Apple's ecosystem.

Penpot is an open-source, multi-page design and prototyping platform that allows teams to collaborate on digital design projects. It provides features like version control, real-time collaboration, and export options for various file formats.

The European Union has agreed on a proposal to allow the voluntary scanning of private communications for child sexual abuse material, sparking privacy concerns from civil liberties groups.

The article discusses the contributions of Ilya Sutskever and Yann LeCun to the field of deep learning, highlighting their insights that have led to the end of the 'just add GPUs' approach to AI advancement and the need for more fundamental research to drive further progress.

The article discusses Google's decision to include AirDrop-like support in the Pixel 10, likely in response to the European Union's ruling requiring Apple to open up its proprietary technologies like AirDrop to competitors. This move suggests Google's efforts to provide users with a similar file-sharing experience across different smartphone platforms.

The article discusses Boring Company's plans to build a tunnel in Nashville, with local company Shane Trucking and Excavating potentially involved in the project. It highlights the potential economic and infrastructure benefits the tunnel could bring to the city.

The article discusses the most common reasons men and women give for ending a relationship, based on a survey. It highlights the differences in the top reasons cited by each gender, providing insights into the underlying dynamics and perspectives in romantic relationships.

Caligra is a comprehensive web-based platform that provides a suite of tools and services to help businesses manage their online presence, including website building, e-commerce, and digital marketing solutions.

This article explores why 90s movies often feel more vibrant and engaging compared to the content available on streaming platforms like Netflix. The author discusses factors such as the tangible filmmaking techniques, the sense of adventure and exploration, and the overall cinematic experience that characterized many popular 90s films.

The article discusses the recent decline in cryptocurrency prices, with investors known as 'crypto hoarders' selling off their holdings as share values plummet. It examines the factors contributing to this market downturn and the potential implications for the cryptocurrency industry.

Bonsai_term is a library for creating terminal-based user interfaces in OCaml, providing a modular and composable approach to building interactive applications with a focus on performance and ease of use.

Tesla's European sales saw a significant decline in October, falling nearly 50% compared to the previous year. The article highlights the challenges Tesla is facing in maintaining its market share in the European electric vehicle market.

OpenAI's API was affected by a security breach at Mixpanel, leading to the exposure of user data. The breach highlights the importance of secure data practices for companies relying on third-party services.

The Babushka Lady is an unidentified woman who was present during the assassination of President John F. Kennedy and captured on film, but her identity and role remain a mystery. The Babushka Lady is believed to have filmed the assassination, but the footage has never been released or definitively identified.

The article discusses the significant growth of solar power in the United States, which has almost offset the overall increase in energy usage. It highlights that solar capacity has grown rapidly, contributing to a decrease in the country's reliance on fossil fuels for electricity generation.

The article discusses how flush door handles, a popular design feature in modern cars, can pose a safety risk in certain situations, such as accidents or emergencies where quick and easy access to the door handle is crucial.

Hey HN!

My co-founder and I have been building Logical, a proactive desktop AI copilot that watches what you're doing (locally), understands the context of your workflow, and surfaces helpful actions before you prompt it.

- Quick demo: https://www.loom.com/share/090a065315934aa7b36a7676f9394d1f

- Try Logical: https://trylogical.ai/signup

Logical lives on your desktop, infers what you're trying to do across apps – email, meetings, documents, PDFs, terminals – and:

- Gives you a reply suggestion when you hit "Reply" on an email thread

- Offers to "Check schedule" when you open a message asking for a quick chat

- Automatically extracts to-dos during calls and from pretty much anywhere on your screen (and reminds you to follow-up)

- Suggests a formula in Excel as you work that you can apply with one click

- Explains terms of research papers as you highlight them

No prompting. No switching context. No copying text around.

* Why we built this *

Despite big progress in LLMs, the dominant UX is still: User does work –> realizes AI could help –> stops –> writes a prompt.

But your computer already has the context of what you're doing. It knows what window you're in, what text you're reading, which script just errored, and what meeting you're sitting in. We wanted an AI that uses this ambient context to proactively assist – more like a real teammate than a chatbot.

* Privacy and data handling (something we deeply care about) *

Right now:

- We offer a technical guarantee that no user data ever touches Logical servers.

- Context is sanitized locally (our local pipeline strips PII / sensitive text before anything is sent off).

Long-term, we aim to move everything on-device as small language models and consumer AI chips mature.

We've seen interest from founders, researchers, engineers, and privacy-sensitive users who want AI benefits without cloud exposure.

* What's under the hood *

- A context engine that digests signals and user data from apps (both local, and if you choose, cloud-based services).

- A sanitization pipeline that removes identifiable or sensitive details before model usage.

- A local vector store + lightweight knowledge graph for immediate retrieval.

- An intent engine that infers "what you're trying to do" in real time and surfaces actions at the right moment.

* What's next *

- Windows support. Logical is currently Mac only.

- Letting developers plug into the context engine and intent engine to offer richer experiences on their apps. At least until desktop MCP is good enough.

- Fine-tuned integrations with more apps and workflows.

Would love your feedback:

If you're interested in: proactive AI; OS-level context awareness; on-device AI; privacy-preserving AI; building AI that actually reduces friction instead of adding more prompts

Happy to chat in the comments! hello@trylogical.ai is always open for feedback.

The article explores the potential impact of AI on the entertainment industry, highlighting concerns about AI-generated content and its effect on the creative process, as well as the need for regulation and ethical considerations around AI's use in the arts.

The article examines how modern cars are collecting and transmitting large amounts of data about their owners, raising privacy concerns. It discusses the various types of data being collected, the lack of transparency around these practices, and the potential implications for consumer privacy.

The Electronic Frontier Foundation has filed a lawsuit against the City of San Jose, California, challenging the city's use of Automated License Plate Readers (ALPRs) for mass surveillance without a warrant, arguing that it violates the Fourth Amendment's protection against unreasonable searches and seizures.