Hi, I'm Luis 👋

How could this work? A new feature for OPML subscription lists. Today it's used as the import/export format for lists. But that's a one-time thing. Instead I want to give Pocket Casts the URL of an OPML file with my podcast subscriptions from the desktop.#

This is exactly the thinking behind my podroll and other collections on my site that I provide an OPML file for. I want a single source of truth for my subscriptions that I can share with others. Sadly it's not dynamic because I still have to manually update the OPML file and re-import into my podcasting client. Having read / write capabilities from the client so that whenever I subscribe to a podcast, the OPML file is updated would make the experience even better.

One of Jami’s core features is its ability to function in emergency settings where internet access is severely limited or entirely cut off.

‌Unlike traditional messaging apps that rely on central servers to relay messages, Jami connects users peer to peer. This means each device acts as a node in a decentralized web, sending encrypted data directly to others, without any intermediary.

In troubled times, staying connected is not a luxury. It is a necessity.‌‌It means ensuring safety, coordination, and the ability to call for help, share your location, and reach your loved ones.

When official channels fail, direct communication helps share verified information, document events, and fight misinformation.

It also defends our freedoms. Speaking freely, even under pressure, is essential to support, resist, and rebuild.

Staying connected maintains solidarity and mental well-being. No one should face crisis alone.

And above all, it keeps communities resilient, able to act and organize even in the darkest times.

That is why tools like Jami, which operate without a central server or reliance on tech giants, are essential parts of a digital survival kit.

With tools like TRL, TorchForge and verl, the open-source community has shown how to scale AI across complex compute infrastructure. But compute is only one side of the coin. The other side is the developer community; the people and tools that make agentic systems possible. That’s why Meta and Hugging Face are partnering to launch the OpenEnv Hub: a shared and open community hub for agentic environments.

Agentic environments define everything an agent needs to perform a task: the tools, APIs, credentials, execution context, and nothing else. They bring clarity, safety, and sandboxed control to agent behavior.

These environments can be used for both training and deployment, and serve as the foundation for scalable agentic development.

Saving for later

Custom agents for GitHub Copilot make it easy for users and organizations to specialize their Copilot coding agent (CCA) through simple, file-based configurations.

By adding a configuration file under .github/agents in a repository or in the {org}/.github repository, you can define agent personas that capture your team’s workflows, conventions, and unique needs. These agents can be further tailored with prompts, tool selections, and Model Context Protocol (MCP) servers to optimize for specific use cases.

Large Language Models (LLMs) often struggle with problems that require multi-step reasoning. For small-scale open-source models, Reinforcement Learning with Verifiable Rewards (RLVR) fails when correct solutions are rarely sampled even after many attempts, while Supervised Fine-Tuning (SFT) tends to overfit long demonstrations through rigid token-by-token imitation. To address this gap, we propose Supervised Reinforcement Learning (SRL), a framework that reformulates problem solving as generating a sequence of logical "actions". SRL trains the model to generate an internal reasoning monologue before committing to each action. It provides smoother rewards based on the similarity between the model's actions and expert actions extracted from the SFT dataset in a step-wise manner. This supervision offers richer learning signals even when all rollouts are incorrect, while encouraging flexible reasoning guided by expert demonstrations. As a result, SRL enables small models to learn challenging problems previously unlearnable by SFT or RLVR. Moreover, initializing training with SRL before refining with RLVR yields the strongest overall performance. Beyond reasoning benchmarks, SRL generalizes effectively to agentic software engineering tasks, establishing it as a robust and versatile training framework for reasoning-oriented LLMs.

Mozilla.ai is adopting the llamafile project to advance local, privacy-first AI. We are refreshing the codebase, modernizing foundations, and shaping the roadmap with community input

Trying to take control of your online privacy can feel like a full-time job. But if you break it up into small tasks and take on one project at a time it makes the process of protecting your privacy much easier. This month we’re going to do just that. For the month of October, we’ll update this post with new tips every weekday that show various ways you can opt yourself out of the ways tech giants surveil you.

At GitHub Universe, we’re announcing Agent HQ, GitHub’s vision for the next evolution of our platform. Agents shouldn’t be bolted on. They should work the way you already work. That’s why we’re making agents native to the GitHub flow.

Agent HQ transforms GitHub into an open ecosystem that unites every agent on a single platform. Over the coming months, coding agents from Anthropic, OpenAI, Google, Cognition, xAI, and more will become available directly within GitHub as part of your paid GitHub Copilot subscription.

The core idea of on-policy distillation is to sample trajectories from the student model and use a high-performing teacher to grade each token of each trajectory.

A template for building AI-powered coding agents that supports Claude Code, OpenAI's Codex CLI, GitHub Copilot CLI, Cursor CLI, Google Gemini CLI, and opencode with Vercel Sandbox to automatically execute coding tasks on your repositories.

Most social applications, from Twitter to Wikipedia, have rigid one-size-fits-all designs, but building new social applications is both technically challenging and results in applications that are siloed away from existing communities. We present Graffiti, a system that can be used to build a wide variety of personalized social applications with relative ease that also interoperate with each other. People can freely move between a plurality of designs—each with its own aesthetic, feature set, and moderation—all without losing their friends or data.

Our concept of total reification makes it possible for seemingly contradictory designs, including conflicting moderation rules, to interoperate. Conversely, our concept of channels prevents interoperation from occurring by accident, avoiding context collapse.

Graffiti applications interact through a minimal client-side API, which we show admits at least two decentralized implementations. Above the API, we built a Vue plugin, which we use to develop applications similar to Twitter, Messenger, and Wikipedia using only client-side code. Our case studies explore how these and other novel applications interoperate, as well as the broader ecosystem that Graffiti enables.

We’ve been building a better foundation for AI Studio, and this week we introduced a totally new AI powered vibe coding experience in Google AI Studio. This redesigned experience is meant to take you from prompt to working AI app in minutes without you having to juggle with API keys, or figuring out how to tie models together.

Recent advances in multimodal models have demonstrated remarkable text-guided image editing capabilities, with systems like GPT-4o and Nano-Banana setting new benchmarks. However, the research community's progress remains constrained by the absence of large-scale, high-quality, and openly accessible datasets built from real images. We introduce Pico-Banana-400K, a comprehensive 400K-image dataset for instruction-based image editing. Our dataset is constructed by leveraging Nano-Banana to generate diverse edit pairs from real photographs in the OpenImages collection. What distinguishes Pico-Banana-400K from previous synthetic datasets is our systematic approach to quality and diversity. We employ a fine-grained image editing taxonomy to ensure comprehensive coverage of edit types while maintaining precise content preservation and instruction faithfulness through MLLM-based quality scoring and careful curation. Beyond single turn editing, Pico-Banana-400K enables research into complex editing scenarios. The dataset includes three specialized subsets: (1) a 72K-example multi-turn collection for studying sequential editing, reasoning, and planning across consecutive modifications; (2) a 56K-example preference subset for alignment research and reward model training; and (3) paired long-short editing instructions for developing instruction rewriting and summarization capabilities. By providing this large-scale, high-quality, and task-rich resource, Pico-Banana-400K establishes a robust foundation for training and benchmarking the next generation of text-guided image editing models.

Repo

An infinitely zooming collaborative painting I created together with 31 other illustrators in 2007.

Website

Floor796 is an animated scene showing the lives of characters from various works on the 796th floor of a huge space station. The animation is regularly expanded with new blocks (rooms) and characters from movies, TV series, games, anime, memes, etc.

The project is being created by one author as a hobby starting in 2018.

This is so much fun. I've easily spent an hour exploring the space finding new rooms and characters.

We’re excited to introduce Monarch, a distributed programming framework that brings the simplicity of single-machine PyTorch to entire clusters.

Monarch lets you program distributed systems the way you’d program a single machine, hiding the complexity of distributed computing:

1. Program clusters like arrays. Monarch organizes hosts, processes, and actors into scalable meshes that you can manipulate directly. You can operate on entire meshes (or slices of them) with simple APIs—Monarch handles the distribution and vectorization automatically, so you can think in terms of what you want to compute, not where the code runs.
2. Progressive fault handling. With Monarch, you write your code as if nothing fails. When something does fail, Monarch fails fast by default—stopping the whole program, just like an uncaught exception in a simple local script. Later, you can progressively add fine-grained fault handling exactly where you need it, catching and recovering from failures just like you’d catch exceptions.
3. Separate control from data. Monarch splits control plane (messaging) from data plane (RDMA transfers), enabling direct GPU-to-GPU memory transfers across your cluster. Monarch lets you send commands through one path, while moving data through another, optimized for what each does best.
4. Distributed tensors that feel local. Monarch integrates seamlessly with PyTorch to provide tensors that are sharded across clusters of GPUs. Monarch tensor operations look local but are executed across distributed large clusters, with Monarch handling the complexity of coordinating across thousands of GPUs."

If you bought your computer after 2010, there's most likely no reason to throw it out. By just installing an up-to-date Linux operating system you can keep using it for years to come.

The Developer Ecosystem Survey 2025 results reveal a field that’s changing fast, shaped by AI and growing self-awareness among developers. They’re using tools that make them more productive, while questioning how they define productivity in the changing landscape.

"You've arrived at MelonLand! This is a web project and online arts community that celebrates homepages, virtual worlds, the world-wide-web and the digital lives that all netizins share, here at the dawn of the digital age.

This project has three goals:

• To make the web; genuine, chaotic, timeless, individual and joyful
• To provide knowledge and support to humans creating digital worlds
• To promote websites and digital worlds as mediums of visual art.
  MelonLand is part of a wider movement sometimes called the web revival; to join, all you need to do is choose to engage with small handmade web projects next time you're online!"

Welcome to Reclaim Open 2025 Rewilding the Network – Making New Connections. Register now to join us online from November 4-6th as we come together on the open web, via federated social networks, on the radio and on a blog near you.

This looks like a fun event.

Discover independent music from artists in the Fediverse.

...we are introducing SentinelStep(opens in new tab), a mechanism that enables agents to complete long-running monitoring tasks. The approach is simple. SentinelStep wraps the agent in a workflow with dynamic polling and careful context management. This enables the agent to monitor conditions for hours or days without getting sidetracked. We’ve implemented SentinelStep in Magentic-UI, our research prototype agentic system, to enable users to build agents for long-running tasks, whether they involve web browsing, coding, or external tools.

I REALLY want an ROG Xbox Ally X. Not as a handheld gaming device though, but as a mobile computer.

Apparently there's an NPU version coming soon so maybe I'll hold off until that's out.

Today, I’m happy to share an early preview of C# AI Buddy - an AI assistant you can “hire” to help you build AI projects using C# and .NET.

This is such a cool project from Jordan. Try it out and give feedback.

ExecuTorch enables seamless, production-ready deployment of PyTorch models directly to edge devices (mobile, embedded, desktop) without the need for conversion or rewriting, supporting a wide range of hardware backends and model types.

ExecuTorch 1.0 release delivers broader hardware support across CPU, GPU, and NPU, greater stability for production use, and robust model compatibility.

Rivian’s micromobility spinoff Also has just taken the wraps off its TM-B e-bike, TM-Q pedal-assisted electric quad bike, and Alpha Wave helmet that represents “a breakthrough in rider safety and connectivity".

Really cool, but at $4k+ it seems pricey. Given it's Rivian's entry into the market it makes sense. As more of these sell and hit the market, hopefully the prices also start to come down.

YouTube has added a new Shorts feature that makes it easier to manage how much time you’re spending watching videos. Mobile users can now set a customizable daily limit that restricts how long they can scroll Shorts feeds, aiming to help viewers better manage their time instead of endlessly scrolling.

I gotta admit this is a useful feature. At the same time, WHAT?!

Selling the problem and the solution.

"The San Francisco Board of Supervisors has officially declared October 22, 2025, as Internet Archive Day in the City and County of San Francisco. Sponsored by Supervisor Connie Chan (District 1), the resolution passed unanimously in recognition of the Internet Archive’s extraordinary milestone—preserving 1 trillion web pages. The resolution celebrates the Archive’s enduring mission to provide “universal access to all knowledge” and our deep roots in the city where it was founded nearly three decades ago."

The PyTorch Foundation, the Linux Foundation-based open source AI organization, today announced that it will become the host of Ray, the popular open source distributed computing framework for scaling AI and Python applications. The Ray project will join existing projects like PyTorch itself, the vLLM inference engine and deep learning optimization library DeepSpeed.

The Timeless Art of Vibe Coding

This is such a fun project

We suggest these five principles as a starting place:

1. Private: In the era of AI, whoever controls the context holds the power. Users must stay in full control of their data and context.
2. Dedicated: You must be able to trust that your software holds your best interest as its highest priority, without conflict of interest.
3. Plural: No single entity should control the digital spaces we inhabit. Healthy ecosystems require distributed power, interoperability, and meaningful choice for participants.
4. Adaptable: Software should be open-ended, able to meet the specific, context-dependent needs of each user.
5. Prosocial: Technology should enable connection and coordination, helping us become better neighbors, collaborators, and stewards of shared spaces, both online and off.

Today we’re introducing ChatGPT Atlas, a new web browser built with ChatGPT at its core.

A ZINE ABOUT CREATING YOUR OWN SPACE ON THE INTERNET

Love the design and content on this site.

Free software communities offer ethical alternatives to the centralised platforms by the web giants: It is possible to find trusted services that respect our privacy!

From the hills of Dusk's End to the small alleys of Main Street, you feel drawn to the lights of this vibrant metropolis in an uncharted internet territory. The sign reads "Nightfall".

"Weird Waves is a curated radio play and audiobook archive of horror, sci-fi, fantasy, and weird fiction!"

The Palma 2 Pro is now available for preorder for $400 and is expected to ship to US customers in early November

Take my money!

Kohler’s new toilet camera provides health insights based on your bathroom breaks

When I saw this article, this is immediately what came to mind.