The content discusses a famous blockprint by Hokusai depicting sawyers working on timber, highlighting the tool used called “Front Pull Large Saw.” The article emphasizes the unique design and advantages of this specialized saw, including its bi-metal construction and ability to be operated by a single craftsman. Despite the hard work required, the author shares […]

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The author explores the transition from GitHub runners to self-hosted runners, highlighting the flexibility and potential drawbacks of the latter option. The web content emphasizes the need for caution as free tier policies are subject to change. The process of setting up self-hosted runners is detailed, including the challenges of duplicate setups for different repositories […]

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OpenPlotter is a versatile tool kit for small and medium-length boats, offering a range of features including a chart plotter with OpenCPN, weather display with XyGrib, NMEA 0183 and 2000 connectivity, Seatalk1 integration, Signal K support, an access point for data sharing, headless operation with mobile device access, customizable dashboards, AIS capabilities, compass data with […]

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Transformer Debugger (TDB) is a tool by OpenAI’s Superalignment team that uses interpretability techniques and sparse autoencoders to investigate small language models’ behaviors. TDB allows for quick exploration without coding, intervening in the forward pass to observe behavior changes. It can answer questions like why a model outputs one token over another or why a […]

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In their recent work, Carlini et al. introduce a groundbreaking model-stealing attack that can extract detailed information from black-box language models like OpenAI’s ChatGPT or Google’s PaLM-2. They demonstrate that for a mere $20, they were able to extract the entire projection matrix of OpenAI’s Ada and Babbage models, revealing hidden dimensions of 1024 and […]

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React Print is a new way to build high-quality, unstyled PDF documents using React and TypeScript. It allows for easy use with complete layout control, integration of dynamic data, and a collection of components and templates. The platform challenges outdated methods like docx and latex, offering freedom through open-source usage. The goal is to modernize […]

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Diffusion models are gaining popularity in generative modeling, showing exceptional results in sampling from multimodal distributions. They are widely used in text-to-image tools like Stable Diffusion and other domains like audio, video, protein design, and robotics. This tutorial focuses on implementing diffusion models from scratch using optimization theory. By training neural networks to predict noise […]

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Cosine-similarity is used to measure semantic similarity by comparing vectors, but it may not always give accurate results compared to unnormalized dot-products. Regularized linear models can provide insights into why cosine-similarity may not always be reliable, as it can lead to arbitrary and meaningless similarities. The regularization used in learning deep models can also have […]

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The Wikipedia page discusses Simpson’s Paradox, showing how a positive trend can appear in separate groups, only to reverse when combined. This phenomenon is commonly seen in social science and medical statistics, highlighting the risks of misjudging causal relationships. Notably, the page includes examples like gender bias in UC Berkeley admissions and kidney stone treatments […]

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The author introduces the JSON Canvas format as a way to store infinite canvas data, which allows for spatially organizing information like a digital whiteboard. This format aims to provide longevity, readability, interoperability, and extensibility to data created with infinite canvas apps. JSON Canvas files use the .canvas extension and can be freely implemented in […]

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