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The Forecasting Company, founded by experienced ML PhDs, seeks a Founding Machine Learning Engineer to develop cutting-edge time-series forecasting models. Located in Paris, the role involves training and deploying models, collaborating with clients, and enhancing ML infrastructure. The company aims to provide accessible and accurate forecasting solutions for various industries. Benefits include equity, health insurance, and learning opportunities in a diverse team. The company promotes efficiency in operations, catering to enterprise clients, and leverages foundation models for optimized predictions.
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Kyunghyun Cho shares insights on the softmax function, discussing its advantages in transforming real vectors into categorical distributions under non-negativity and normalization constraints. He highlights its derivation from maximum entropy principles and emphasizes the intuitive learning signals it provides through interpretable gradients. Cho contrasts softmax with the harmonic formulation, critiquing its gradient behavior at the origin, which complicates learning. He suggests possible improvements and reflects on the importance of incremental progress in learning despite challenging gradients. Overall, he reaffirms his preference for softmax in machine learning contexts.
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Microsoft is advancing in generative AI for gaming with its new model, Muse, which aids developers in building games and optimizing classic titles for modern systems. However, the gaming community, including many developers, has reacted negatively, questioning the model's value and fearing it may undermine human creativity and job security. Critics argue that this focus on AI is driven more by shareholder interests than genuine benefits for game creators. While Microsoft sees potential in AI for game prototyping, there remains skepticism about its overall impact on the industry.
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The Electronic Frontier Foundation criticizes Google for shifting away from its original "Don't Be Evil" motto, particularly as it aligns more closely with the military-industrial complex. Google has revised its AI principles, removing prohibitions on using AI for weapons, surveillance, and harmful technologies. This shift raises concerns about the company's involvement in projects like Project Nimbus, which potentially enables surveillance in the Occupied Palestinian Territories. EFF warns that this trend could lead to significant humanitarian crises, urging Google to reconsider its actions as it prioritizes profit over human rights.
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LLaDA (Large Language Diffusion with masking) is a newly introduced large language diffusion model that achieves competitive performance with models like LLaMA3 at an 8 billion parameter scale. It learns through a generative approach that masks tokens during pretraining and selectively unmasks them during supervised fine-tuning. The model showcases impressive scalability and diverse capabilities, including text generation, dialogue generation, math problem-solving, and translation. Case studies demonstrate its functionality across various applications, highlighting its versatility. The research is part of an ongoing exploration into improvements in language model efficiency and effectiveness.
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The article emphasizes the importance of speed in coding and work processes. The author compares the development of two libraries, strucjure and rematch, highlighting a significant speed improvement in the latter's creation partly due to clearer goals and better practices. Achieving a tenfold increase in coding speed could allow for significantly more projects and learning opportunities, as faster coding reduces mental load and enables more experimentation. The author notes that small incremental improvements in processes can compound over time, leading to major gains in productivity and enjoyment in work.
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Obscura VPN is a privacy-focused VPN that cannot log user activity or access internet traffic due to its unique design. It uses a two-party protocol and independent exit hops to separate user identity from browsing history, ensuring complete anonymity. Users can create accounts without personal information and pay via Bitcoin for enhanced privacy. Obscura's stealth protocol blends with regular internet traffic, making it less detectable by censorship filters. The service emphasizes transparency, allowing users to verify its claims through open source code and independent exit servers.
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The article explores the complexity and capabilities of the C preprocessor, particularly focusing on macros and whether they can implement Turing-complete functions. It discusses creating a fire animation using a defined width and height, applying motion blur effects, and eventually translating the code to a simpler language called "wend." The author uses macros to create recursive-like behaviors, demonstrating how C preprocessor limitations can be worked around to form recursive behaviors traditionally reserved for programming languages, supporting pseudo-recursion through creative macro definitions and expansions.
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HTTL 0.1.7 introduces a command-line interface (CLI) for executing HTTL queries directly from the terminal, useful for CI/CD pipeline integration and automation scripts. The CLI supports all features of the HTTL language and offers formatted, colorized output. It’s available as a global npm package, requiring Node.js version 16.14 or later for installation. Users can run queries either directly from the command line or from files.
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Magma is a groundbreaking foundation model designed for multimodal AI tasks, effectively handling both digital and physical environments. It integrates visual and language data to enhance verbal, spatial, and action planning intelligences. Pretrained on diverse datasets, Magma excels in UI navigation and robotic manipulation, outperforming existing models. Key components like Set-of-Mark (SoM) and Trace-of-Mark (ToM) facilitate action grounding and temporal dynamics comprehension. In evaluations, Magma demonstrates strong zero-shot capabilities across various tasks, showcasing remarkable performance in spatial reasoning and multimodal understanding without extensive fine-tuning.
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Anne Marshall, the USDS Engineering Director, has resigned, citing misalignments with the organization's new direction under Elon Musk's DOGE branding. In her LinkedIn post, she criticized recent layoffs of one-third of the team, stating they were shortsighted and detrimental to the mission. Following firings of around 50 staff members, there are concerns over the leadership structure and direction of DOGE, with remaining staff feeling uncertain about their future roles. Marshall emphasized that her decision to leave was voluntary and expressed her disappointment in the organization’s changes.
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