The blog post explores a purported connection between Mike Oldfield's "Tubular Bells," famously used in The Exorcist, and Morse code. The author analyzes a specific section of the album and argues that the tubular bells play a sequence that translates to "BELLS." While acknowledging the possibility of coincidence, the author speculates that Oldfield, known for his meticulous approach to composition and interest in radio, might have intentionally embedded this message as a playful nod to his amateur radio background, potentially referencing his callsign "G3SWE." The post further links this potential Morse code to a rumored "curse" surrounding The Exorcist, suggesting the message could be interpreted as a signature or playful acknowledgement of the film's ominous themes.
This paper proposes a new quantum Fourier transform (QFT) algorithm that significantly reduces the circuit depth compared to the standard implementation. By leveraging a recursive structure and exploiting the symmetries inherent in the QFT matrix, the authors achieve a depth of O(log * n + log log n), where n is the number of qubits and log * denotes the iterated logarithm. This improvement represents an exponential speedup in depth compared to the O(log² n) depth of the standard QFT while maintaining the same asymptotic gate complexity. The proposed algorithm promises faster and more efficient quantum computations that rely on the QFT, particularly in near-term quantum computers where circuit depth is a crucial limiting factor.
Hacker News users discussed the potential impact of a faster Quantum Fourier Transform (QFT). Some expressed skepticism about the practicality due to the significant overhead of classical computation still required and questioned if this specific improvement truly addressed the bottleneck in quantum algorithms. Others were more optimistic, highlighting the mathematical elegance of the proposed approach and its potential to unlock new applications if the classical overhead can be mitigated in the future. Several commenters also debated the relevance of asymptotic complexity improvements given the current state of quantum hardware, with some arguing that more practical advancements are needed before these theoretical gains become significant. There was also a brief discussion regarding the paper's notation and clarity.
Anthropic has launched a new Citations API for its Claude language model. This API allows developers to retrieve the sources Claude used when generating a response, providing greater transparency and verifiability. The citations include URLs and, where available, spans of text within those URLs. This feature aims to help users assess the reliability of Claude's output and trace back the information to its original context. While the API strives for accuracy, Anthropic acknowledges that limitations exist and ongoing improvements are being made. They encourage users to provide feedback to further enhance the citation process.
Hacker News users generally expressed interest in Anthropic's new citation feature, viewing it as a positive step towards addressing hallucinations and increasing trustworthiness in LLMs. Some praised the transparency it offers, allowing users to verify information and potentially correct errors. Several commenters discussed the potential impact on academic research and the possibilities for integrating it with other tools and platforms. Concerns were raised about the potential for manipulation of citations and the need for clearer evaluation metrics. A few users questioned the extent to which the citations truly reflected the model's reasoning process versus simply matching phrases. Overall, the sentiment leaned towards cautious optimism, with many acknowledging the limitations while still appreciating the progress.
The Finnish Wartime Photograph Archive (SA-Kuva) offers free access to over 160,000 digitized photographs documenting Finland's wars between 1939 and 1945, including the Winter War, Continuation War, and Lapland War. The archive features images from both the military and home front, providing a comprehensive visual record of the conflicts' impact on Finnish society. Searchable in Finnish, Swedish, and English, the archive facilitates research and allows users to explore photographs by keyword, photographer, location, and date.
Hacker News users generally expressed appreciation for the Finnish Wartime Photograph Archive, praising its size, searchability, and the quality of the digitized images. Several commenters pointed out the poignant contrast between mundane photos of daily life and those depicting the harsh realities of war. Some noted the powerful human element present in the collection, observing that the faces of the soldiers and civilians captured reflect universal experiences of conflict and resilience. A few users with Finnish ancestry shared personal connections to the archive, explaining how it helped them connect with their family history and understand the experiences of their relatives during wartime. The ease of navigation and browsing through the vast collection was also highlighted as a positive aspect.
The Alexander Mosaic, depicting the Battle of Issus, incorporates a variety of geological materials sourced across the Hellenistic world. Researchers analyzed the mosaic's tesserae, identifying stones like Egyptian and other marbles, various limestones, volcanic glass, and rocks containing specific minerals like serpentine and magnetite. This diverse geological palette reveals ancient trade networks and access to a wide range of stone resources, highlighting the logistical complexity and artistic ambition behind the mosaic's creation. The study demonstrates how geological analysis can shed light on ancient art, providing insights into material sourcing, craftsmanship, and cultural exchange.
Hacker News users discuss the difficulty in comprehending the vastness of geological time, with one suggesting a visualization tool that maps durations to physical distances. Commenters also explore the relationship between art and deep time, sparked by the mosaic's depiction of Alexander the Great, a figure whose historical timeframe is itself dwarfed by geological scales. Some highlight the challenge of accurately representing scientific concepts for a general audience while others express fascination with the mosaic itself and its historical context. A few commenters point out the article's focus on the stone's provenance rather than the mosaic's artistry, acknowledging the surprising geological journey of the materials used in its creation.
The open-source "Video Starter Kit" allows users to edit videos using natural language prompts. It leverages large language models and other AI tools to perform actions like generating captions, translating audio, creating summaries, and even adding music. The project aims to simplify video editing, making complex tasks accessible to anyone, regardless of technical expertise. It provides a foundation for developers to build upon and contribute to a growing ecosystem of AI-powered video editing tools.
Hacker News users discussed the potential and limitations of the open-source AI video editor. Some expressed excitement about the possibilities, particularly for tasks like automated video editing and content creation. Others were more cautious, pointing out the current limitations of AI in creative fields and questioning the practical applicability of the tool in its current state. Several commenters brought up copyright concerns related to AI-generated content and the potential misuse of such tools. The discussion also touched on the technical aspects, including the underlying models used and the need for further development and refinement. Some users requested specific features or improvements, such as better integration with existing video editing software. Overall, the comments reflected a mix of enthusiasm and skepticism, acknowledging the project's potential while also recognizing the challenges it faces.
Polyhedral compilation is a advanced compiler optimization technique that analyzes and transforms loop nests in programs. It represents the program's execution flow using polyhedra (multi-dimensional geometric shapes) to precisely model the dependencies between loop iterations. This geometric representation allows the compiler to perform powerful transformations like loop fusion, fission, interchange, tiling, and parallelization, leading to significantly improved performance, particularly for computationally intensive applications on parallel architectures. While complex and computationally demanding itself, polyhedral compilation holds great potential for optimizing performance-critical sections of code.
HN commenters generally expressed interest in the topic of polyhedral compilation. Some highlighted its complexity and the difficulty in practical implementation, citing the limited success despite decades of research. Others discussed potential applications, like optimizing high-performance computing and specialized hardware, but acknowledged the challenges in generalizing the technique. A few mentioned specific compilers and tools utilizing polyhedral optimization, like LLVM's Polly, and discussed their strengths and limitations. There was also a brief exchange about the practicality of applying these techniques to dynamic languages. Overall, the comments reflect a cautious optimism about the potential of polyhedral compilation while acknowledging the significant hurdles remaining for widespread adoption.
Deep in the Burgundy forest of France, Guédelon Castle is a unique ongoing experiment: building a 13th-century castle entirely from scratch using only period-correct tools and techniques. This ambitious project, begun in 1997, employs skilled craftspeople who quarry stone, make mortar, forge iron, carve wood, and practice other medieval trades to construct the castle, offering visitors a living history lesson in medieval architecture and construction. The project aims not just to recreate a castle, but to understand the process and challenges faced by medieval builders.
HN commenters express fascination with the Guédelon castle project, praising its commitment to authentic 13th-century building techniques. Several discuss the surprising efficiency of medieval methods, noting the clever use of human and animal power, and the sophisticated understanding of material science displayed by the builders. Some commenters draw parallels to software development, highlighting the iterative, experimental nature of the project and the value of learning by doing. Others lament the loss of traditional craftsmanship and knowledge in modern society. A few express skepticism about the project's complete authenticity, questioning the influence of modern tools and safety regulations. Overall, the comments reflect a mix of admiration, curiosity, and nostalgia for a pre-industrial way of life.
Llama.vim is a Vim plugin that integrates large language models (LLMs) for text completion directly within the editor. It leverages locally running GGML-compatible models, offering privacy and speed advantages over cloud-based alternatives. The plugin supports various functionalities, including code generation, translation, summarization, and general text completion, all accessible through simple Vim commands. Users can configure different models and parameters to tailor the LLM's behavior to their needs. By running models locally, Llama.vim aims to provide a seamless and efficient AI-assisted writing experience without relying on external APIs or internet connectivity.
Hacker News users generally expressed enthusiasm for Llama.vim, praising its speed and offline functionality. Several commenters appreciated the focus on simplicity and the avoidance of complex dependencies like Python, highlighting the benefits of a pure Vimscript implementation. Some users suggested potential improvements like asynchronous updates and better integration with specific LLM APIs. A few questioned the practicality for larger models due to resource constraints, but others countered that it's useful for smaller, local models. The discussion also touched upon the broader implications of local LLMs becoming more accessible and the potential for innovative Vim integrations.
OpenAI has introduced Operator, a large language model designed for tool use. It excels at using tools like search engines, code interpreters, or APIs to respond accurately to user requests, even complex ones involving multiple steps. Operator breaks down tasks, searches for information, and uses tools to gather data and produce high-quality results, marking a significant advance in LLMs' ability to effectively interact with and utilize external resources. This capability makes Operator suitable for practical applications requiring factual accuracy and complex problem-solving.
HN commenters express skepticism about Operator's claimed benefits, questioning its actual usefulness and expressing concerns about the potential for misuse and the propagation of misinformation. Some find the conversational approach gimmicky and prefer traditional command-line interfaces. Others doubt its ability to handle complex tasks effectively and predict its eventual abandonment. The closed-source nature also draws criticism, with some advocating for open alternatives. A few commenters, however, see potential value in specific applications like customer support and internal tooling, or as a learning tool for prompt engineering. There's also discussion about the ethics of using large language models to control other software and the potential deskilling of users.
The author announced the acquisition of their bootstrapped SaaS startup, Refind, by Readwise. After five years of profitable growth and serving thousands of paying users, they decided to join forces with Readwise to accelerate development and reach a wider audience. They expressed gratitude to the Hacker News community for their support and feedback throughout Refind's journey, highlighting how the platform played a crucial role in their initial user acquisition and growth. The author is excited about the future and the opportunity to continue building valuable tools for learners with the Readwise team.
The Hacker News comments on the "Thank HN" acquisition post are overwhelmingly positive and congratulatory. Several commenters inquire about the startup's niche and journey, expressing genuine curiosity and admiration for the bootstrapped success. Some offer advice for navigating the acquisition process, while others share their own experiences with acquisitions, both positive and negative. A few highlight the importance of celebrating such wins within the startup community, offering encouragement to other founders. The most compelling comments offer practical advice stemming from personal experience, like negotiating earn-outs and retaining key employees. There's a general sense of shared excitement and goodwill throughout the thread.
Scale AI's "Humanity's Last Exam" benchmark evaluates large language models (LLMs) on complex, multi-step reasoning tasks across various domains like math, coding, and critical thinking, going beyond typical benchmark datasets. The results revealed that while top LLMs like GPT-4 demonstrate impressive abilities, even the best models still struggle with intricate reasoning, logical deduction, and robust coding, highlighting the significant gap between current LLMs and human-level intelligence. The benchmark aims to drive further research and development in more sophisticated and robust AI systems.
HN commenters largely criticized the "Humanity's Last Exam" framing as hyperbolic and marketing-driven. Several pointed out that the exam's focus on reasoning and logic, while important, doesn't represent the full spectrum of human intelligence and capabilities crucial for navigating complex real-world scenarios. Others questioned the methodology and representativeness of the "exam," expressing skepticism about the chosen tasks and the limited pool of participants. Some commenters also discussed the implications of AI surpassing human performance on such benchmarks, with varying degrees of concern about potential societal impact. A few offered alternative perspectives, suggesting that the exam could be a useful tool for understanding and improving AI systems, even if its framing is overblown.
Mixlist is a collaborative playlist platform designed for DJs and music enthusiasts. It allows users to create and share playlists, discover new music through collaborative mixes, and engage with other users through comments and likes. The platform focuses on seamless transitions between tracks, providing tools for beatmatching and key detection, and aims to replicate the experience of a live DJ set within a digital environment. Mixlist also features a social aspect, allowing users to follow each other and explore trending mixes.
Hacker News users generally expressed skepticism and concern about Mixlist, a platform aiming to be a decentralized alternative to Spotify. Many questioned the viability of its decentralized model, citing potential difficulties with content licensing and copyright infringement. Several commenters pointed out the existing challenges faced by similar decentralized music platforms and predicted Mixlist would likely encounter the same issues. The lack of clear information about the project's technical implementation and funding also drew criticism, with some suggesting it appeared more like vaporware than a functional product. Some users expressed interest in the concept but remained unconvinced by the current execution. Overall, the sentiment leaned towards doubt about the project's long-term success.
Caltech researchers have engineered a new method for creating "living materials" by embedding bacteria within a polymer matrix. These bacteria produce amyloid protein nanofibers that intertwine, forming cable-like structures that extend outward. As these cables grow, they knit the surrounding polymer into a cohesive, self-assembling gel. This process, inspired by the way human cells build tissues, enables the creation of dynamic, adaptable materials with potential applications in biomanufacturing, bioremediation, and regenerative medicine. These living gels could potentially be used to produce valuable chemicals, remove pollutants from the environment, or even repair damaged tissues.
HN commenters express both excitement and caution regarding the potential of the "living gels." Several highlight the potential applications in bioremediation, specifically cleaning up oil spills, and regenerative medicine, particularly in creating new biomaterials for implants and wound healing. Some discuss the impressive self-assembling nature of the bacteria and the possibilities for programmable bio-construction. However, others raise concerns about the potential dangers of such technology, wondering about the possibility of uncontrolled growth and unforeseen ecological consequences. A few commenters delve into the specifics of the research, questioning the scalability and cost-effectiveness of the process, and the long-term stability of the gels. There's also discussion about the definition of "life" in this context, and the implications of creating and controlling such systems.
Intrinsic, a Y Combinator-backed (W23) robotics software company making industrial robots easier to use, is hiring. They're looking for software engineers with experience in areas like robotics, simulation, and web development to join their team and contribute to building a platform that simplifies robot programming and deployment. Specifically, they aim to make industrial robots more accessible to a wider range of users and businesses. Interested candidates are encouraged to apply through their website.
The Hacker News comments on the Intrinsic (YC W23) hiring announcement are few and primarily focused on speculation about the company's direction. Several commenters express interest in Intrinsic's work with robotics and AI, but question the practicality and current state of the technology. One commenter questions the focus on industrial robotics given the existing competition, suggesting more potential in consumer robotics. Another speculates about potential applications like robot chefs or home assistants, while acknowledging the significant technical hurdles. Overall, the comments express cautious optimism mixed with skepticism, reflecting uncertainty about Intrinsic's specific goals and chances of success.
TMSU is a command-line tool that lets you tag files and directories, creating a virtual filesystem based on those tags. Instead of relying on a file's physical location, you can organize and access files through a flexible tag-based system. TMSU supports various commands for tagging, untagging, listing files by tag, and navigating the virtual filesystem. It offers features like autocompletion, regular expression matching for tags, and integration with find. This allows for powerful and dynamic file management based on user-defined criteria, bypassing the limitations of traditional directory structures.
Hacker News users generally praised TMSU for its speed, simplicity, and effectiveness, especially compared to more complex solutions. One commenter highlighted its efficiency for managing a large photo collection, appreciating the ability to tag files based on date and other criteria. Others found its clear documentation and intuitive use of find commands beneficial. Some expressed interest in similar terminal-based tagging solutions, mentioning TagSpaces as a cross-platform alternative and bemoaning the lack of a modern GUI for TMSU. A few users questioned the longevity of the project, given the last commit being two years prior, while others pointed out the stability of the software and the infrequency of needed updates for such a tool.
Dan Luu's "Working with Files Is Hard" explores the surprising complexity of file I/O. While seemingly simple, file operations are fraught with subtle difficulties stemming from the interplay of operating systems, filesystems, programming languages, and hardware. The post dissects various common pitfalls, including partial writes, renaming and moving files across devices, unexpected caching behaviors, and the challenges of ensuring data integrity in the face of interruptions. Ultimately, the article highlights the importance of understanding these complexities and employing robust strategies, such as atomic operations and careful error handling, to build reliable file-handling code.
HN commenters largely agree with the premise that file handling is surprisingly complex. Many shared anecdotes reinforcing the difficulties encountered with different file systems, character encodings, and path manipulation. Some highlighted the problems of hidden characters causing issues, the challenges of cross-platform compatibility (especially Windows vs. *nix), and the subtle bugs that can arise from incorrect assumptions about file sizes or atomicity. A few pointed out the relative simplicity of dealing with files in Plan 9, and others mentioned more modern approaches like using memory-mapped files or higher-level libraries to abstract away some of the complexity. The lack of libraries to handle text files reliably across platforms was a recurring theme. A top comment emphasizes how corner cases, like filenames containing newlines or other special characters, are often overlooked until they cause real-world problems.
This blog post explores creating spirograph-like patterns by simulating gravitational orbits of multiple bodies. Instead of gears, the author uses Newton's law of universal gravitation and numerical integration to calculate the paths of planets orbiting one or more stars. The resulting intricate designs are visualized, and the post delves into the math and code behind the simulation, covering topics such as velocity Verlet integration and adaptive time steps to handle close encounters between bodies. Ultimately, the author demonstrates how varying the initial conditions of the system, like the number of stars, their masses, and the planets' starting velocities, leads to a diverse range of mesmerizing orbital patterns.
HN users generally praised the Orbit Spirograph visualization and the clear explanations provided by Red Blob Games. Several commenters explored the mathematical underpinnings, discussing epitrochoids and hypotrochoids, and how the visualization relates to planetary motion. Some users shared related resources like a JavaScript implementation and a Geogebra applet for exploring similar patterns. The potential educational value of the interactive tool was also highlighted, with one commenter suggesting its use in explaining retrograde motion. A few commenters reminisced about physical spirograph toys, and one pointed out the connection to Lissajous curves.
Libmodulor is a TypeScript library designed for building cross-platform applications with a strong focus on developer experience and maintainability. It leverages a modular architecture, promoting code reuse and separation of concerns through features like dependency injection, a unified event bus, and lifecycle management. The library aims to simplify complex application logic by providing built-in solutions for common tasks such as state management, routing, and API interactions, allowing developers to focus on building features rather than boilerplate. While opinionated in its structure, libmodulor offers flexibility in choosing UI frameworks and targets web, desktop, and mobile platforms.
HN commenters generally express skepticism about the value proposition of libmodulor, particularly regarding its use of TypeScript and perceived over-engineering. Several question the necessity of such a library for simple projects, arguing that vanilla HTML, CSS, and JavaScript are sufficient. Some doubt the touted "multi-platform" capabilities, suggesting it's merely a web framework repackaged. Others criticize the project's apparent complexity and lack of clear advantages over established solutions like React Native or Flutter. The focus on server components and the use of RPC are also questioned, with commenters pointing to potential performance drawbacks. A few express interest in specific aspects, such as the server-driven UI approach and the developer experience, but overall sentiment leans towards cautious skepticism.
Bunster is a tool that compiles Bash scripts into standalone, statically-linked executables. This allows for easy distribution and execution of Bash scripts without requiring a separate Bash installation on the target system. It achieves this by embedding a minimal Bash interpreter and necessary dependencies within the generated executable. This makes scripts more portable and user-friendly, especially for scenarios where installing dependencies or ensuring a specific Bash version is impractical.
Hacker News users discussed Bunster's novel approach to compiling Bash scripts, expressing interest in its potential while also raising concerns. Several questioned the practical benefits over existing solutions like shc or containers, particularly regarding dependency management and debugging complexity. Some highlighted the inherent limitations of Bash as a scripting language compared to more robust alternatives for complex applications. Others appreciated the project's ingenuity and suggested potential use cases like simplifying distribution of simple scripts or bypassing system-level restrictions on scripting. The discussion also touched upon the performance implications of this compilation method and the challenges of handling Bash's dynamic nature. A few commenters expressed curiosity about the inner workings of the compilation process and its handling of external commands.
Psychedelic graphics, inspired by the altered perceptions induced by psychedelic substances, aim to visually represent the subjective experience of these altered states. Characterized by vibrant, contrasting colors, intricate patterns like fractals and paisley, and often morphing or flowing forms, these visuals evoke feelings of otherworldliness, heightened sensory awareness, and interconnectedness. The style frequently draws upon Art Nouveau, Op Art, and surrealism, while also incorporating spiritual and mystical symbolism, reflecting the introspective and transformative nature of the psychedelic experience.
Hacker News users discuss Ben Pence's blog post about psychedelic graphics, focusing on the technical aspects of creating these visuals. Several commenters delve into the history and evolution of these techniques, mentioning early demoscene graphics and the influence of LSD aesthetics. Some discuss the mathematical underpinnings, referencing fractals, strange attractors, and the role of feedback loops in generating complex patterns. Others share personal experiences with psychedelic visuals, both drug-induced and otherwise, and how they relate to the graphics discussed. The connection between these visuals and underlying neurological processes is also explored, with some commenters proposing that the patterns reflect inherent structures in the brain. A few commenters express interest in modern tools and techniques for creating such effects, including shaders and GPU programming.
The "Third Base" article explores the complex role of guanine quadruplexes (G4s), four-stranded DNA structures, in biology. Initially dismissed as lab artifacts, G4s are now recognized as potentially crucial elements in cellular processes. They are found in telomeres and promoter regions of genes, suggesting roles in aging and gene expression. The article highlights the dynamic nature of G4 formation and how it can be influenced by proteins and small molecules. While research is ongoing, G4s are implicated in both vital functions and diseases like cancer, raising the possibility of targeting them for therapeutic interventions.
Hacker News users discuss the surprisingly complex history and evolution of third base in baseball. Several commenters highlight the article's insightful explanation of how the base's positioning has changed over time, influenced by factors like foul territory rules and the gradual shift from a "bound catch" rule to the modern fly catch. Some express fascination with the now-obsolete "three strikes and you're out if it's caught on the first bounce" rule. Others appreciate the detailed descriptions of early baseball and how the different rules shaped the way the game was played. A few commenters draw parallels between the evolution of baseball and the development of other sports and games, emphasizing how seemingly arbitrary rules can have significant impacts on strategy and gameplay. There is general appreciation for the depth of research and clear writing style of the article.
Dhruv Vidyut offers a conversion kit to electrify any bicycle. The kit includes a hub motor wheel, a battery pack, a controller, and all necessary accessories for installation. Their website highlights its ease of installation, affordability compared to buying a new e-bike, and customizability with different motor power and battery capacity options. It's marketed as a sustainable and practical solution for urban commuting and leisure riding, transforming a regular bicycle into a versatile electric vehicle.
Hacker News users generally praised the simplicity and ingenuity of the electric bicycle conversion kit shown on the linked website. Several commenters appreciated the clear instructions and readily available parts, making it a seemingly accessible project for DIY enthusiasts. Some questioned the long-term durability, particularly regarding water resistance and the strength of the 3D-printed components. Others discussed potential improvements, like adding regenerative braking or using a different motor. A few pointed out the legality of such conversions, depending on local regulations regarding e-bikes. There was also discussion about the overall efficiency compared to purpose-built e-bikes and whether the added weight impacted the riding experience.
The blog post details an experiment integrating AI-powered recommendations into an existing application using pgvector, a PostgreSQL extension for vector similarity search. The author outlines the process of storing user interaction data (likes and dislikes) and item embeddings (generated by OpenAI) within PostgreSQL. Using pgvector, they implemented a recommendation system that retrieves items similar to a user's liked items and dissimilar to their disliked items, effectively personalizing the recommendations. The experiment demonstrates the feasibility and relative simplicity of building a recommendation engine directly within the database using readily available tools, minimizing external dependencies.
Hacker News users discussed the practicality and performance of using pgvector for a recommendation engine. Some commenters questioned the scalability of pgvector for large datasets, suggesting alternatives like FAISS or specialized vector databases. Others highlighted the benefits of pgvector's simplicity and integration with PostgreSQL, especially for smaller projects. A few shared their own experiences with pgvector, noting its ease of use but also acknowledging potential performance bottlenecks. The discussion also touched upon the importance of choosing the right distance metric for similarity search and the need to carefully evaluate the trade-offs between different vector search solutions. A compelling comment thread explored the nuances of using cosine similarity versus inner product similarity, particularly in the context of normalized vectors. Another interesting point raised was the possibility of combining pgvector with other tools like Redis for caching frequently accessed vectors.
A new Google Workspace extension called BotSheets transforms Google Sheets data into Google Slides presentations. It leverages the structured data within spreadsheets to automatically generate slide decks, saving users time and effort in manually creating presentations. This tool aims to streamline the workflow for anyone who frequently needs to visualize spreadsheet data in a presentation format.
HN users generally express skepticism and concern about the privacy implications of the Google Sheets to Slides extension. Several commenters question the need for AI in this process, suggesting simpler scripting solutions or existing Google Sheets features would suffice. Some point out potential data leakage risks given the extension's request for broad permissions, especially concerning sensitive spreadsheet data. Others note the limited utility of simply transferring data from a spreadsheet to a slide deck without any intelligent formatting or design choices, questioning the added value of AI in this particular application. The developer responds to some of these criticisms, clarifying the permission requirements and arguing for the benefits of AI-powered content generation within the workflow. However, the overall sentiment remains cautious, with users prioritizing privacy and questioning the practical advantages offered by the extension.
Cal Bryant created a Python script to generate interlocking jigsaw puzzle pieces for 3D models, enabling the printing of objects larger than a printer's build volume. The script slices the model into customizable, interlocking chunks that can be individually printed and then assembled. The blog post details the process, including the Python code, demonstrating its use with a large articulated dragon model printed in PLA. The jigsaw approach simplifies large-scale 3D printing by removing the need for complex post-processing and allowing for greater design freedom.
HN commenters generally praised the project for its cleverness and potential applications. Several suggested improvements or alternative approaches, such as using dovetails for stronger joints, exploring different infill patterns for lighter prints, and considering kerf bends for curved surfaces. Some pointed out existing tools like OpenSCAD that could be leveraged. There was discussion about the practicality of printing large objects in pieces and the challenges of assembly, with suggestions like numbered pieces and alignment features. A few users expressed interest in using the tool for specific projects like building a kayak or a large enclosure. The creator responded to several comments, clarifying design choices and acknowledging the suggestions for future development.
Ruder's post provides a comprehensive overview of gradient descent optimization algorithms, categorizing them into three groups: momentum, adaptive, and other methods. The post explains how vanilla gradient descent can be slow and struggle with noisy gradients, leading to the development of momentum-based methods like Nesterov accelerated gradient which anticipates future gradient direction. Adaptive methods, such as AdaGrad, RMSprop, and Adam, adjust learning rates for each parameter based on historical gradient information, proving effective in sparse and non-stationary settings. Finally, the post touches upon other techniques like conjugate gradient, BFGS, and L-BFGS that can further improve convergence in specific scenarios. The author concludes with a practical guide, offering recommendations for choosing the right optimizer based on problem characteristics and highlighting the importance of careful hyperparameter tuning.
Hacker News users discuss the linked blog post on gradient descent optimization algorithms, mostly praising its clarity and comprehensiveness. Several commenters share their preferred algorithms, with Adam and SGD with momentum being popular choices, while others highlight the importance of understanding the underlying principles regardless of the specific algorithm used. Some discuss the practical challenges of applying these algorithms, including hyperparameter tuning and the computational cost of more complex methods. One commenter points out the article's age (2016) and suggests that more recent advancements, particularly in adaptive methods, warrant an update. Another user mentions the usefulness of the overview for choosing the right optimizer for different neural network architectures.
Security researcher Sam Curry discovered multiple vulnerabilities in Subaru's Starlink connected car service. Through access to an internal administrative panel, Curry and his team could remotely locate vehicles, unlock/lock doors, flash lights, honk the horn, and even start the engine of various Subaru models. The vulnerabilities stemmed from exposed API endpoints, authorization bypasses, and hardcoded credentials, ultimately allowing unauthorized access to sensitive vehicle functions and customer data. These issues have since been patched by Subaru.
Hacker News users discuss the alarming security vulnerabilities detailed in Sam Curry's Subaru hack. Several express concern over the lack of basic security practices, such as proper input validation and robust authentication, especially given the potential for remote vehicle control. Some highlight the irony of Subaru's security team dismissing the initial findings, only to later discover the vulnerabilities were far more extensive than initially reported. Others discuss the implications for other connected car manufacturers and the broader automotive industry, urging increased scrutiny of these systems. A few commenters point out the ethical considerations of vulnerability disclosure and the researcher's responsible approach. Finally, some debate the practicality of exploiting these vulnerabilities in a real-world scenario.
The UK has a peculiar concentration of small, highly profitable, often family-owned businesses—"micro behemoths"—that dominate niche global markets. These companies, typically with 10-100 employees and revenues exceeding £10 million, thrive due to specialized expertise, long-term focus, and aversion to rapid growth or outside investment. They prioritize profitability over scale, often operating under the radar and demonstrating remarkable resilience in the face of economic downturns. This "hidden economy" forms a significant, yet often overlooked, contributor to British economic strength, showcasing a unique model of business success.
HN commenters generally praised the article for its clear explanation of the complexities of the UK's semiconductor industry, particularly surrounding Arm. Several highlighted the geopolitical implications of Arm's dependence on global markets and the precarious position this puts the UK in. Some questioned the framing of Arm as a "British" company, given its global ownership and reach. Others debated the wisdom of Nvidia's attempted acquisition and the subsequent IPO, with opinions split on the long-term consequences for Arm's future. A few pointed out the article's omission of details regarding specific chip designs and technical advancements, suggesting this would have enriched the narrative. Some commenters also offered further context, such as the role of Hermann Hauser and Acorn Computers in Arm's origins, or discussed the specific challenges faced by smaller British semiconductor companies.
Diamond Geezer investigates the claim that the most central sheep in London resides at the Honourable Artillery Company (HAC) grounds. He determines the geographic center of London using mean, median, and geometric center calculations based on the city's boundary. While the HAC sheep are remarkably central, lying very close to several calculated centers, they aren't definitively the most central. Further analysis using what he deems the "fairest" method—a center-of-mass calculation considering population density—places the likely "most central sheep" slightly east, near the Barbican. However, without precise sheep locations within the Barbican area and considering the inherent complexities of defining "London," the HAC sheep remain strong contenders for the title.
HN users generally enjoyed the lighthearted puzzle presented in the linked blog post. Several commenters discussed different interpretations of "central," leading to suggestions of alternative locations and methods for calculating centrality. Some proposed using the centroid of London's shape, while others considered population density or accessibility via public transport. A few users pointed out the ambiguity of "London" itself, questioning whether it referred to the City of London, Greater London, or another definition. At least one commenter expressed appreciation for the blog author's clear writing style and engaging presentation of the problem. The overall tone is one of amusement and intellectual curiosity, with users enjoying the thought experiment.
Summary of Comments ( 19 )
https://news.ycombinator.com/item?id=42807653
HN users discuss the plausibility and technical details of the claim that Mike Oldfield embedded Morse code into "Tubular Bells." Some are skeptical, pointing out the difficulty of discerning Morse within complex music and suggesting coincidental patterns. Others analyze specific sections, referencing the provided audio examples, and debate whether the supposed Morse is intentional or simply an artifact of the instrumentation. The use of a spectrogram is highlighted as a method for clearer analysis, and discussion arises around the feasibility of Oldfield's equipment and knowledge of Morse at the time. Some express appreciation for the in-depth analysis of the blog post while others remain unconvinced, citing the lack of definitive proof. The comment thread also diverges into discussions about Oldfield's other work and general discussions on musical analysis techniques.
The Hacker News post titled "Morse Code in Tubular Bells (2021)" has several comments discussing the linked article about potential Morse code hidden within Mike Oldfield's "Tubular Bells."
Several commenters express skepticism about the claims made in the article. One points out that the supposed Morse code appears in a section of the piece with heavy phasing effects, making it unlikely that a deliberate, clean Morse signal could be embedded without being distorted. They also highlight the unlikelihood of Oldfield, known for his meticulous studio work, allowing such imperfections. Another commenter echoes this sentiment, suggesting the perceived Morse code is likely an auditory illusion or pareidolia, where random patterns are interpreted as meaningful information. This commenter further notes the lack of any known motive for Oldfield to include such a message, strengthening their skepticism.
One commenter questions the methodology used in the analysis, suggesting that the author should have compared the audio to a known recording of the Morse code sequence they claim to have heard, rather than relying solely on their subjective interpretation. They also propose the possibility of the sounds being unintentional artifacts of the recording process or the instruments used.
Another commenter delves into technical details, suggesting that the described sounds are more likely due to phasing between two slightly detuned oscillators rather than deliberate Morse code. They explain how such phasing can create rhythmic patterns that might be misconstrued as coded signals.
One commenter recalls a similar experience listening to a different piece of music, where they perceived a Morse code-like rhythm, but ultimately attributed it to the natural rhythms of the music itself. This further emphasizes the potential for misinterpretation of musical patterns.
Finally, some comments express general interest in the topic, even while remaining skeptical. They appreciate the exploration of the idea and the technical analysis provided by other commenters, demonstrating the engagement of the community with the topic despite the lack of definitive proof of hidden Morse code. There's a general sense of appreciation for the mystery and the discussion it generated.