discord

Make More Closet Space! Nitro Members Can Now Keep Avatar Decoration Quest Rewards for Longer (opens in new tab)

Discord is updating its Quest reward system to provide Nitro members with extended access to earned avatar decorations, which previously expired after a standard two-month window. While all users will continue to receive a minimum of two months of use for any claimed decoration, active Nitro subscribers can now keep many of these rewards for longer, with some even returning from previous Quests. This shift transforms temporary participation rewards into a more permanent benefit for the platform's premium subscriber base. ### Extended Availability for Nitro Subscribers * Most avatar decorations earned through Discord Quests will no longer strictly expire after 60 days for Nitro members. * The specific amount of extra time granted varies between different decorations, with many remaining available as long as a subscription is active. * All Quest participants, including non-subscribers, are still guaranteed the initial two-month period to use their rewards. ### Subscription Requirements and Eligibility * The extension perk is exclusive to full Nitro members; those on Nitro Basic or Nitro Classic plans do not qualify for the extended time. * Users who are not currently Nitro members can subscribe or upgrade their existing plan to immediately regain access to previously collected Quest decorations that have "expired." * Not every decoration is eligible for an extension, as Discord determines availability on an item-by-item basis. ### Management and Returning Content * Discord is retroactively returning several previously available Quest decorations to the collections of eligible users who earned them in the past. * Users can verify the status and expiration date of their items by navigating to Profile Settings > Change Decoration and reviewing the individual item descriptions. * The update is currently live, allowing eligible users to re-equip old rewards or view new expiration timelines immediately. To maximize your collection, check your Profile Settings to see which legacy decorations have returned to your inventory and ensure your Nitro subscription is active to prevent future rewards from expiring.

discord

How to Use Discord’s In-Game Overlay to Talk While Playing on PC (opens in new tab)

Discord’s In-Game Overlay for Windows is a productivity and social tool designed to keep players connected without the need to alt-tab out of active sessions. By integrating core communication features directly into the game interface, it ensures that users can manage their community interactions while maintaining focus on their gameplay. ### Core Features and Multitasking * Allows users to join and manage voice channels seamlessly during live matches. * Provides visual indicators to see exactly which participants are currently speaking. * Supports video call participation and the ability to start or manage gameplay streams without minimizing the game window. ### Usage and Personalization * Enables quick access to Discord’s interface using a dedicated toggle command, preventing missed moments in-game. * Offers a variety of customization settings to adjust how and where the overlay appears on the screen. * Allows users to tailor the transparency and layout of the interface to suit specific gaming environments or personal preferences. Gamers on Windows should enable the overlay to streamline their social interactions, ensuring that communication tools remain accessible and non-intrusive during high-intensity gameplay.

google

A new hybrid platform for quantum simulation of magnetism (opens in new tab)

Google Quantum AI researchers have developed a hybrid quantum simulation platform that combines the flexibility of digital gates with the high-speed entanglement growth of analog dynamics. Using a 69-qubit Sycamore processor, the team demonstrated high-precision simulations of quantum magnetism that are estimated to be over a million years beyond the reach of the world’s fastest supercomputers. This approach allows for the study of complex physical systems before environmental noise can degrade the quantum state. ## The Hybrid Analog-Digital Approach * Digital simulation provides high flexibility by breaking operations into sequential logical gates, but it is relatively slow because qubits only interact in pairs. * Analog simulation activates all qubit couplers in parallel to mimic continuous, real-world dynamics, enabling much faster growth of quantum entanglement. * The hybrid model uses digital gates for initial state preparation and final characterization, while utilizing analog evolution for the core simulation phase. * This combination minimizes the time the system is exposed to noise while maintaining the ability to target specific, complex problems. ## High-Precision Calibration and Benchmarking * The team overcame the "interference" problem of analog simulation—where simultaneous coupler activation creates unpredictable results—by developing a new calibration scheme and precise hardware modeling. * The system achieved a high level of accuracy, with an error rate of only 0.1% each time a quantum excitation moves between qubits. * Benchmarking via random circuit sampling showed the platform can reach chaotic, highly entangled states significantly faster than purely digital methods. * Researchers estimate that reproducing these results with the same accuracy on the Frontier supercomputer would take more than one million years. ## Discovery in Quantum Magnetism * The researchers used the platform to study the XXZ model, a foundational paradigm in quantum magnetism, across a 69-qubit array. * The experiment investigated how quantum systems reach thermal equilibrium, focusing on the Eigenstate Thermalization Hypothesis (ETH). * The simulation revealed a surprising exception to standard physics theories: a specific parameter regime where the system resisted thermalization and remained in a non-equilibrium state. * This finding challenges the "Generalized Gibbs Ensemble," a widely used theory for predicting the behavior of isolated quantum systems. This hybrid platform establishes a new standard for using current-generation quantum hardware to conduct meaningful scientific research. By integrating analog speed with digital control, the approach provides a viable roadmap for exploring many-body physics and finding practical applications in the NISQ (Noisy Intermediate-Scale Quantum) era.

google

InstructPipe: Generating Visual Blocks pipelines with human instructions and LLMs (opens in new tab)

InstructPipe is a research prototype designed to simplify machine learning prototyping by generating visual programming pipelines directly from natural language instructions. By leveraging a multi-stage large language model (LLM) framework, the system automates the selection and connection of nodes to lower the barrier for novice users. The result is a streamlined workflow that transforms abstract text commands into functional, editable node-graph diagrams within the Visual Blocks for ML environment. ### Pipeline Representation and Efficiency - Visual Blocks pipelines are structured as Directed Acyclic Graphs (DAGs) and are typically stored in a verbose JSON format. - To improve LLM performance, InstructPipe utilizes a "pseudocode" intermediate representation that is highly token-efficient, compressing pipeline data from 2.8k tokens down to approximately 123 tokens. - This pseudocode defines output variables, unique node IDs, and node types while specifying arguments such as input images or text prompts (e.g., `pali_1_out:pali(image=input_image_1, prompt=input_text_1)`). ### Two-Stage LLM Refinement - The **Node Selector** module acts as a high-level filter, using brief node descriptions to identify a relevant subset of tools from the library based on the user's intent. - The **Code Writer** module receives the filtered list and uses detailed node configurations—including specific input/output data types and usage examples—to draft the actual pipeline logic. - This dual-prompting strategy mimics human developer behavior by first scanning documentation categories and then focusing on specific function requirements to ensure accurate node connections. ### Interpretation and Execution - A dedicated **Code Interpreter** parses the generated pseudocode to reconstruct the final JSON-formatted pipeline required by the visual editor. - The system renders the resulting graph in an interactive workspace, allowing users to immediately execute, modify, or extend the machine learning workflow. - Technical evaluations indicate that this approach effectively supports multimodal pipelines, such as those involving the PaLI model for vision-language tasks, while significantly reducing the learning curve for new users. InstructPipe demonstrates how LLMs can bridge the gap between high-level human intent and low-code visual programming environments. For developers and researchers, this approach mitigates the "blank canvas" problem, allowing for faster experimentation and the rapid prototyping of complex machine learning architectures through simple text-based collaboration.

google

Teaching machines the language of biology: Scaling large language models for next-generation single-cell analysis (opens in new tab)

Cell2Sentence-Scale (C2S-Scale) is a new family of open-source large language models designed to transform complex single-cell transcriptomic data into a text-based format accessible to natural language processing. By representing gene expression profiles as "cell sentences," the framework allows researchers to use general-purpose LLM architectures to "read" and "write" biological information. This approach simplifies single-cell analysis, enabling conversational queries and automated data interpretation that were previously limited to specialized tools and expert users. ### The Cell2Sentence Mapping Method * Translates single-cell RNA sequencing (scRNA-seq) measurements into sequences of text by ordering gene names according to their expression levels. * Enables the integration of cellular data with text-based biological context, such as cell types, experimental metadata, and scientific literature. * Leverages the existing vocabulary of biology—gene names and functions—to make high-dimensional data interpretable by standard language model tokenizers. ### C2S-Scale Model Architecture and Training * Built upon Google’s Gemma open model family, maintaining the original architecture to benefit from existing scalability and infrastructure. * Trained on a dataset exceeding 1 billion tokens derived from real-world transcriptomic data and biological metadata. * Features a range of model sizes from 410 million to 27 billion parameters, allowing researchers to choose between computational efficiency for exploratory work and high performance for complex tasks. ### Functional Applications in Biology * **Conversational Querying:** Researchers can interact with data through natural language to ask specific questions, such as predicting how a T cell might respond to a particular cancer therapy. * **Automated Interpretation:** The models can generate biological summaries of experiments, describing everything from individual cell types to the characteristics of entire tissues. * **Predictive Tasks:** The framework handles diverse tasks including cell type annotation and the generation of synthetic cells or tissues for research simulations. ### Performance and Biological Scaling Laws * Research demonstrates that biological language models follow predictable scaling laws, where performance in tasks like cell type annotation improves as model size increases. * Larger models show superior gene overlap and semantic similarity scores when interpreting datasets compared to smaller versions. * Smaller models remain highly effective for parameter-efficient fine-tuning in resource-constrained environments. C2S-Scale is available as an open-source resource on GitHub and HuggingFace, offering a flexible toolkit for the research community to apply large language models to next-generation genomic discovery.

discord

The Game Developer Playbook, Part One: Getting Started on Discord (opens in new tab)

Developing a community during the early stages of game production allows developers to cultivate a core group of dedicated advocates and insiders. By leveraging communication platforms designed for intimate interaction, creators can transform early players into long-term supporters who contribute directly to the project's evolution. Starting this process as early as possible ensures that the game’s growth is supported by a foundation of trusted feedback and direct player engagement. ### Utilizing Discord for Iterative Development * Discord’s architecture, originally designed for private group conversations, makes it an ideal environment for building close-knit relationships between developers and players. * The platform provides a centralized space to schedule and monitor live playtests, ensuring that developers can observe player behavior in real-time. * Creators can gather actionable insights and qualitative feedback through direct dialogue with community members who are invested in the game’s success. ### Strategic Timing for Community Building * While community management can begin at any phase, the most significant benefits are realized when engagement starts during the earliest stages of development. * Early integration allows for the nurturing of "super-fans" who act as advocates and trusted insiders throughout the production lifecycle. * Establishing a presence early on creates a collaborative atmosphere where players feel like active participants in the game's journey rather than just consumers. To build a sustainable and loyal player base, developers should prioritize early community integration by using Discord as a collaborative hub for playtesting and refinement. Engaging with a small group of dedicated supporters from the start creates a feedback loop that can significantly improve the final product's quality and market fit.

discord

The Game Developer Playbook, Part Two: Early Access and Pre-Launch (opens in new tab)

This guide outlines the transition of a game’s Discord server from a private feedback hub to a public community space designed for engagement during the pre-launch phase. It emphasizes that a server's purpose must evolve alongside the game's development to successfully foster a growing fanbase and inspire conversation. By restructuring permissions and utilizing specialized templates, developers can create an environment where even those without game access can feel connected to the project. ### The Evolution of Server Roles * Transition focus from private, early-stage feedback loops to a public-facing audience to drive community engagement. * Utilize the pre-launch phase to establish a space where fans can share thoughts and learn about the game mechanics and world. * Adapt the server’s architecture to accommodate different stages of game development, moving beyond the restricted access used in initial testing. ### Technical Foundations for Public Communities * Leverage Discord’s native Permission and Role systems to manage the influx of new public members and maintain organizational hierarchy. * Refer to the Discord Mod Academy to ensure moderation standards are established as the community scales. * Standardize the server infrastructure using core setup articles to ensure the technical foundation is robust before the game’s public debut. ### Streamlining with Community Templates * Deploy the specialized "Early Access/Pre-Launch Server" template to jumpstart community creation without manual configuration. * Use templates to provide a proven structure for onboarding new players and organizing feedback channels. * Establish clear communication pathways between developers and fans to ensure the server serves its purpose as a marketing and community-building tool. Developers should treat the pre-launch phase as a critical period to audit their Discord infrastructure, moving away from closed testing groups toward a scalable community model. Utilizing the provided Early Access templates and Permission guides will help maintain order as the server shifts from a private development tool to a public-facing brand asset.

discord

MAJOR NEWS: DISCORD ANNOUNCES ITS FIRST IN-HOUSE AAAA VIDEO GAME, “THE LAST MEADOW” (opens in new tab)

Discord has expanded its ecosystem with the launch of Big Wump Games, its first dedicated in-house game development studio. The studio’s debut title, *The Last Meadow*, is a self-described "quadruple-A" adventure featuring the platform's mascot, Wumpus, on an epic journey across diverse biomes. This move signals a transition for Discord from a communication utility for gamers to a direct provider of interactive entertainment. ### Big Wump Games and *The Last Meadow* * The launch marks the debut of Big Wump Games, Discord’s internal studio designed to create original gaming content. * *The Last Meadow* follows the mascot Wumpus as they navigate a series of challenging environments, including perilous plains, desert cliffs, and frostbound forests. * The narrative focuses on a journey toward the fabled "Last Meadow," presenting a heroic quest tailored to the platform’s community lore. ### Platform Integration and Availability * The game is built directly into the Discord infrastructure and is accessible via the User Settings menu on the desktop application. * Discord provides a dedicated launch button to streamline access, emphasizing low-friction entry for active users. * This integration demonstrates Discord’s capability to host and run interactive "quadruple-A" experiences natively within its client. ### Limited-Time Rewards and Completion Goals * Players who finish the game by April 7, 2025, are eligible for exclusive digital rewards. * The completion prize consists of a limited-edition Avatar Decoration that can be used throughout the month of April. * This incentive structure aims to drive immediate engagement with the new studio's content while rewarding the platform's core user base. Users should log into the Discord desktop client and navigate to their settings to experience the game before the April 7 deadline to ensure they secure the exclusive profile cosmetic.