This dataset contains audio samples representing seven different emotions: neutral, happy, calm, sad, angry, fearful, disgusted, and surprised. The large number of audio clips provides valuable resources for training and testing emotion recognition models, contributing significantly to the field of AI's affective computing.
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mcp-agent is a lightweight, composable framework for building agents using the Model Context Protocol (MCP). It simplifies the management of MCP server connections and implements all the patterns described in "Building Effective Agents," allowing you to chain these patterns together. It also implements OpenAI's Swarm pattern for multi-agent orchestration. With mcp-agent, you can easily build robust AI applications, such as multi-agent collaborative workflows, human-in-the-loop workflows, and RAG pipelines.
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Grammarly has announced its acquisition of Coda, aiming to build the future's AI-native productivity suite. Coda is a popular collaborative workspace tool loved by teams, while Grammarly is renowned for its AI-powered writing assistance. This acquisition will combine the strengths of both companies, leveraging Coda's document collaboration capabilities and Grammarly's AI prowess to provide users with smarter and more efficient productivity tools. The future will see a deep integration of the Grammarly assistant with Coda Brain, resulting in powerful AI-native document collaboration features.
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Letta (formerly MemGPT) is an open-source framework for building stateful LLM applications. It enables developers to create agents with advanced reasoning capabilities and transparent long-term memory. The Letta framework is model-agnostic and supports various LLM backends (OpenAI, Anthropic, etc.). Installation is available via Docker and pip. A graphical Agent Development Environment (ADE) simplifies agent creation, deployment, interaction, and observation.
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Go's interfaces, a unique blend of static type checking and dynamic dispatch, are arguably its most exciting feature. This post delves into the implementation details of interface values within Go's gc compilers, covering their memory representation, itable (interface table) generation and caching, and memory optimizations for various data sizes. Through code examples and illustrations, the author clearly explains how Go achieves compile-time type safety and efficient run-time interface calls. Comparisons with other languages' interface implementations highlight Go's distinctive approach.
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The War Thunder online combat game forums are again embroiled in controversy after a leak of classified documents related to the Eurofighter Typhoon's CAPTOR radar system. A user shared restricted material to support a claim, prompting swift removal of the content and suspension of the user. This incident highlights recurring concerns about the platform's failure to prevent repeated leaks of sensitive information. Previous leaks have included details on the Challenger 2 tank, Leclerc main battle tank, and Chinese ammunition systems. Experts warn that such unauthorized disclosures carry significant legal risks and can compromise the operational security of military platforms.
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The dk coder is a script runner and cross-compiler designed for users with limited programming experience to build substantial, safety-focused applications. Its ease of use, portability, and IDE support tackles the 'README-itis' problem: lengthy READMEs deter users from installing, resulting in lost users. A Quick Walkthrough Guide introduces dk scripts with simple examples. Developers should consult the dk Runtime for supported Windows, macOS, and Linux versions. For scripting, refer to dk Parties for project organization and keep the dk Libraries and dk Macros manuals handy. Experienced OCaml users should check out the Coming From OCaml guide.
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In the mid-19th century, swampy Chicago suffered from disease. To solve the drainage problem, engineers undertook a daring plan: raising the entire city! Thousands of jackscrews lifted buildings, even entire blocks, while life continued as usual. Wooden structures were put on rollers and moved to the suburbs. This epic feat of engineering not only transformed Chicago's landscape but also showcased the extraordinary capabilities of 19th-century engineering.
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The US government's technology sector is undergoing a major shakeup. 18F, the agency responsible for government digital transformation, has been disbanded, with its staff laid off, leaving a massive void. The Trump administration's rebranded USDS (now DOGE) has also seen mass layoffs and resignations, with employees complaining of a "scorched earth" approach driving away skilled personnel. This has left crucial government projects, like the disease surveillance system, at risk of collapse, potentially jeopardizing public safety. GSA's TTS has also been affected, with employees reassigned to more public-facing services, further layoffs are underway, and the future remains uncertain.
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Chimera Linux is a new distribution aiming for a "simple, transparent, and easy to pick up" desktop experience. Built from scratch, its first beta release boasts a usable desktop with helpful software, primarily leveraging BSD tools. Rejecting systemd for its complexity, Chimera uses Dinit and musl, reducing dependencies. While installation is manual, its simplicity and support for GNOME/KDE appeal to experienced users. The focus is on a streamlined, usable system, not software debates.
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This article explores four main approaches to enhancing Large Language Models (LLMs) with reasoning capabilities: inference-time scaling, pure reinforcement learning, supervised fine-tuning plus reinforcement learning, and model distillation. The development of DeepSeek R1 is used as a case study, showcasing how these methods can build powerful reasoning models, and how even budget-constrained researchers can achieve impressive results through distillation. The article also compares DeepSeek R1 to OpenAI's o1 and discusses strategies for building cost-effective reasoning models.
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Go 1.24, slated for a February release, packs a punch with significant improvements. This interactive tutorial highlights key features like weak pointers, enhanced finalizers, a highly optimized map implementation using SwissTable, concurrent hash-trie maps, directory-scoped filesystem access, and more. Example code showcases usage and performance gains. Testing is also enhanced with synthetic time for testing, simplified logging, and new string and byte iterators. These improvements significantly boost Go's development efficiency and performance.
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MIT researchers have developed a novel noninvasive imaging technique that more than doubles the depth limit of metabolic imaging. Using high-powered lasers and a specialized fiber shaper, the method minimizes light scattering, allowing for clearer and faster imaging of living tissue. This label-free approach avoids tissue preprocessing, providing a more natural representation of cellular structures and functions. The increased depth penetration and speed promise significant advancements in cancer research, tissue engineering, drug discovery, and immunology.
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A Firefox user voiced strong requests for improvements in speed, features, and design. For the PC version, they demand faster page loading, reduced resource consumption, and the addition of workspaces, split-screen functionality, and a portable version. Design improvements include updated icons and a refreshed interface. Mobile users want fixes for tab reloading issues, faster loading speeds, customizable wallpapers, tab grouping, and workspaces. Transparency on feature development timelines is also requested.
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Instead of constantly seeking approval, take initiative and inform your boss of your plans with a deadline. This article uses the author's experience in small companies (<200 employees) to illustrate a 'proactive' strategy: for tasks within your scope, act first, give your boss veto power, and set a clear deadline. This increases efficiency and avoids delays caused by waiting for approvals. This method ensures progress while keeping the boss informed and allowing for feedback.
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Underjord, a consultancy specializing in Elixir and Nerves, successfully ran 5000 Erlang virtual machines on a 192-core Ampere One server. Each VM runs a Linux IoT device using the Nerves framework. This was achieved using a new bootloader, little_loader, streamlining ARM64 QEMU VM booting and leveraging KVM acceleration. Challenges included compilation issues and memory optimization, but these were overcome by adjusting BEAM VM allocators, Erlang release modes, and Linux kernel parameters. Over 5000 VMs were successfully run, opening new possibilities for testing and development of the Nerves framework and potentially integrating into future Nerves tooling.
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Researchers have developed Exbody2, a generalized whole-body tracking framework enabling humanoid robots to perform expressive motions with human-like stability. Trained in simulation using Reinforcement Learning and then transferred to the real world, Exbody2 decouples keypoint tracking from velocity control. It leverages a privileged teacher policy to distill precise mimicry skills, achieving high-fidelity replication of dynamic movements such as running, crouching, and dancing. Experiments on two humanoid platforms demonstrate superior performance compared to state-of-the-art methods, providing practical guidelines for advanced whole-body control in humanoid robotics.
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Say goodbye to complex programming languages! This article explores 'vibe coding,' a revolutionary approach to software development powered by AI. Creators with minimal technical skills can build functional apps, websites, and tools in hours, not months. By simply describing the desired app, AI tools generate the code, debug issues, and iterate based on feedback. The article compares traditional coding, low-code platforms, and vibe coding, detailing the process and showcasing successful examples. Several AI-powered platforms are reviewed, along with limitations and strategies to overcome them. The article concludes by emphasizing the potential for creators to transform their businesses by building and selling tools directly to their audience.
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This article explores the evolution of AI scaling laws, arguing that they extend beyond pre-training. OpenAI's o1 model demonstrates the utility and potential of reasoning models, opening a new, unexplored dimension for scaling. The article delves into techniques like synthetic data, Proximal Policy Optimization (PPO), and reinforcement learning to enhance model performance. It clarifies that Anthropic's Claude 3.5 Opus and OpenAI's Orion weren't failures, but rather shifts in scaling strategies. The authors emphasize that scaling encompasses more than just increasing data and parameters; it includes inference-time compute, more challenging evaluations, and innovations in training and inference architecture.
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Duolingo's recent layoffs, framed as an "AI-first" strategy, expose a hidden truth: AI-driven job displacement is already widespread. Hundreds of writers and translators have been replaced by AI, a trend echoed across creative industries, journalism, and even government. This isn't a robot uprising, but a calculated move by corporations using AI to cut costs and consolidate power. The resulting job crisis is particularly acute for recent college graduates, with unemployment rates reaching historic highs. While the full economic impact remains unclear, the crisis reveals a deeper issue: the erosion of valuable jobs and the potential for AI to exacerbate existing inequalities. We're facing a critical juncture, needing to define what kind of work we value and how to protect it before the AI-driven job apocalypse consumes us.
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ESET researchers uncovered a cross-platform malware dubbed "SparkCat" hidden within Google Play and the App Store, affecting over 242,000 downloads. The malware embeds a malicious SDK, using OCR to identify images of cryptocurrency wallet recovery phrases in users' photo galleries and sending them to a C2 server. Attackers employed a custom C2 communication protocol written in Rust, increasing analysis difficulty. The malware aims to steal cryptocurrency and utilizes multiple techniques to evade security measures.
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A large, glowing metal ring fell from the sky in Kenya, sparking global intrigue. While the Kenyan Space Agency initially identified it as rocket debris, space trackers have struggled to find supporting evidence. Leading experts like Jonathan McDowell of the Harvard-Smithsonian Center for Astrophysics and Marco Langbroek have explored various possibilities, but a definitive answer remains elusive. The half-ton ring's origin is a mystery, raising concerns about untracked space debris and the limitations of current tracking capabilities.
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This guide walks you through creating a simple website using HTML and CSS. Starting with folder and file creation, it explains HTML tags (like ``, ``, ``, ``, ``, ``, etc.) and how to create and link a CSS stylesheet for styling. It covers image embedding, list creation, using IDs and classes, box models and borders, emojis, and publishing your website. Perfect for beginners.
TeaVM 0.11.0 has been released, featuring a brand new WebAssembly backend. The old WebAssembly backend, while functional, lacked adoption due to insignificant performance gains and a poor developer experience. The new backend, leveraging the WebAssembly GC proposal, addresses these issues, improving interaction with browser JS APIs and reducing binary file size. While currently slightly less feature-rich than the JS backend, it already supports JSO (Java-to-JS interaction API), aiming for parity in the next release. This release also includes bug fixes in BitSet implementation and adds support for various JS APIs, such as file reading, touch events, the Popover API, and Navigator.sendBeacon.
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Hypershell has launched a power exoskeleton that claims to boost peak biological torques at the hip joint by up to 40%, reduce them by 30%, and provide a 30kg offset (at max assistance, adjusted to body weight). The carbon fiber version (without battery) weighs 1.8kg. The range is 17.5km at 4km/h in 30% Eco mode. Charging time is based on lab tests and may vary. Disclaimer: This product is not intended for medical use; users assume all risks.
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Hermann Hesse's *Siddhartha* follows the spiritual journey of a man named Siddhartha in ancient India. Leaving his home to seek enlightenment, he becomes an ascetic, practices intense meditation, and eventually journeys alone after parting ways with his friend Govinda. Experiencing both the lavish life and the depths of despair, he ultimately finds enlightenment by a river, guided by an old ferryman. The novel emphasizes the importance of lived experience in achieving understanding, rather than intellectual pursuits alone.
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eli is the culmination of over 15 years of designing and implementing embedded Lisp interpreters in various languages. Born from a need for an embedded Lisp for personal projects, it's become one of the author's most significant endeavors. Primarily implemented in Java, with ongoing efforts to integrate it with Common Lisp, eli demonstrates comparable performance to Python in certain benchmarks. The project boasts a unique type system encompassing bits, callables, comparables, countables, characters, floating-point numbers, integers, iterators, iterables, libraries, lists, maps, types, methods, missing values, numerics, pairs, strings, identifiers, durations, and points in time. It offers a rich feature set, including conditionals, loops, macros, variable binding, type checking, method definition, overloading, lambdas, and namespace/module management.
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This article presents Tinylisp, a Lisp interpreter implemented in a mere 99 lines of C code. Leveraging NaN boxing and clever C programming techniques, it boasts 21 built-in Lisp primitives, simple garbage collection, and a REPL. The author details its design, implementation, and extension possibilities, even providing examples of running it on a vintage Sharp PC-G850 pocket computer. Tinylisp's concise code is readily understandable and extensible, making it an excellent learning resource for both Lisp and C.
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Mozilla's recent update to Firefox's Terms of Use has ignited a firestorm of outrage among users. The update grants Mozilla broad permission to use user data, a stark contrast to previous promises to never sell user data—promises now scrubbed from the Firefox FAQ. While Mozilla claims the data will only be used as described in its Privacy Notice, concerns remain about the potential use of this data for AI development. The vague wording and the removal of previous guarantees have shaken user trust, leading some to migrate to alternative, Firefox-based open-source browsers. This incident highlights the growing importance of data privacy and the repercussions of companies contradicting their past assurances.
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Do you rely on server CPU utilization to assess server performance? This author ran a series of stress tests and discovered that CPU utilization isn't linearly correlated with actual work efficiency. Especially above 50% utilization, hyperthreading and Turbo Boost significantly skew the relationship, leading to much higher actual throughput than the reported utilization suggests. Instead of relying on CPU utilization, the author recommends benchmarking to measure actual work completed for a more accurate assessment of server performance.
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