Trump wins presidency for second time

Donald Trump has won the presidency for a second time, securing a comeback nearly four years after he left Washington. Trump defeated Kamala Harris in a tight election, with Decision Desk HQ projecting his victory after he won Pennsylvania and Alaska.

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Passport Photos

Max Siedentopf's "Passport Photos" series challenges the strict rules of official passport photography by experimenting with various poses and expressions. The series tests the limits of self-expression within the confines of the traditional passport photo requirements.

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WebSockets cost us $1M on our AWS bill

Recall.ai discovered that using WebSockets over loopback for inter-process communication (IPC) was costing them $1M/year in AWS spend due to inefficient data transfer. The company found that the majority of their CPU usage was spent on memory copying functions, primarily caused by WebSocket fragmentation and masking, and is now seeking a more efficient high-bandwidth, low-latency IPC solution.

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The deep learning boom caught almost everyone by surprise

The development of neural networks was stalled in the early 2000s, but a team led by Fei-Fei Li at Princeton created a massive image dataset called ImageNet, which was initially met with skepticism but ultimately proved essential for demonstrating the potential of neural networks. The ImageNet dataset, combined with advancements in graphics processing units (GPUs) and the development of backpropagation, a technique for efficiently training deep neural networks, led to the deep learning boom that has continued until the present day.

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Show HN: Aide, an open-source AI native IDE

Aide is an AI-powered coding tool that proactively proposes fixes and edits across multiple files, using LSP tools and iterating on linter errors. It allows for seamless collaboration between the developer and AI, with features like roll-back checkpoints, a floating widget for quick invocation, and full control over prompts and responses.

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Natural Language Outlines for Code: Literate Programming in the LLM Era

Researchers propose using natural language outlines as a tool for AI assistance in software development, allowing developers to interact with code through concise prose summaries. These outlines can be generated by large language models and enable bidirectional syncing with code, facilitating various use cases such as code navigation, maintenance, and generation.

ArXiv

Evaluating the world model implicit in a generative model

Researchers propose new evaluation metrics to assess whether large language models have learned coherent world models, and find that despite performing well on existing diagnostics, these models often have incoherent world models that can lead to fragility when applied to related tasks. The new metrics, inspired by the Myhill-Nerode theorem, reveal the limitations of current generative models in capturing the underlying logic of various domains.

ArXiv

Physics-informed Shadowgraph Network: End-to-end Density Field Reconstruction

This study introduces a new method using physics-informed neural networks to reconstruct density fields from shadowgraph images. The approach allows for quantitative reconstruction of density fields.

ArXiv

Age Normalized Testosterone Peaks at Series B for Male Startup Founders

A study of 107 male Y Combinator founders found that age-normalized testosterone levels increased by 99.6% from pre-seed to Series B funding, then dropped by 42.2% after that stage. This suggests that early startup success boosts confidence and dominance, while later-stage pressures and stresses erode these feelings, or alternatively, that founders with higher testosterone are more likely to secure larger funding rounds.

ArXiv

Charon: An Analysis Framework for Rust

Charon is a proposed analysis framework for Rust that aims to simplify the process of analyzing Rust programs by providing a clean and stable abstract syntax tree (AST) and handling the complexities of interfacing with the Rust compiler and build system. The framework's usefulness is demonstrated through various case studies, including verification, compilation, and taint-checking tools, as well as a re-implementation of an existing analysis.

ArXiv

Show HN: TutoriaLLM – AI Integrated programming tutorials

TutoriaLLM is a self-hosted programming learning platform for K-12 education, designed for both content creators and learners. It can be used on the web and more information is available on the official website, with a demo also available for testing.

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Show HN: Personalized remote job recommendation using resume Analysis

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Show HN: I built an agent to make open source contributions easier

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Show HN: MLGarden, a tool/toy to build and train simple neural networks visually

MLGarden is a visual editor that allows users to create and experiment with neural networks using computation graphs, without requiring linear algebra or advanced math. The tool uses a process called backpropagation to efficiently calculate derivatives and optimize the network, making it possible to iteratively improve complex computations and achieve tasks such as text prediction and classification.

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Show HN: LLM Applications from Yml Files

GenSphere is a declarative framework for building Large Language Model (LLM) applications, allowing users to define workflows with simple YAML files and compose complex systems from reusable components. It provides a platform for users to push and pull projects, collaborate with others, and track popularity of their projects.

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