2025: Another Brutal Year for Startups? Data Suggests So

2025-01-27
2025: Another Brutal Year for Startups? Data Suggests So

Data suggests 2025 could be another tough year for startups. 2024 saw a significant increase in startup closures compared to 2023, with Carta reporting a 25.6% rise to 966 closures (US-based Carta customers). AngelList saw a 56.2% increase to 364 closures. This surge is attributed to the overfunded and overvalued companies from the 2020-2021 boom. Many struggled to secure further funding after inflated valuations. Experts point to a combination of factors: running out of cash, lack of product-market fit, and inability to raise more capital due to previous overvaluation. The trend is expected to continue in the first half of 2025, gradually declining thereafter.

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FlakeUI: A Novel Fractal-Based Graph User Interface

2025-03-03
FlakeUI: A Novel Fractal-Based Graph User Interface

FlakeUI revolutionizes content navigation with its fractal-structure inspired, parent-child orbiting, and zooming-elements based graph user interface. Imagine exploring your web content not as a simple list, but as a dynamic, explorable fractal universe. Users navigate this visually stunning interface using five intuitive gestures: drag to pan, rotate, zoom in, zoom out, and scroll to switch modes. Built with Javascript, FlakeUI is perfect for frequently visited websites such as curated link collections or searchable hierarchical catalogs. Content is managed via XHTML pages and XML configuration, supporting hyperlink navigation within nodes. Experience content browsing like never before!

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Cocommit: Your Git Commit Copilot

2025-03-26
Cocommit: Your Git Commit Copilot

Cocommit is a command-line tool that uses your chosen LLM to improve your Git commit quality. It analyzes your last commit message and suggests improvements, highlighting strengths and weaknesses. Cocommit supports various LLMs, including OpenAI and Amazon Bedrock's Claude 3.7, abstracting away the underlying models via LangChain. Easy to install and use, it allows customization of the LLM experience, making it a great tool for developers to improve their code style.

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Development

wonderful.dev: The Developer Portfolio Platform

2025-01-12

wonderful.dev is a developer-focused online portfolio platform designed to help developers showcase their skills, track industry trends, and find ideal jobs or projects. The platform supports skill verification and integrates with WakaTime data, allowing developers to showcase their abilities with data-backed credibility, enhancing their competitiveness in the job market. Developers can create profiles, highlight verified skills and achievements, follow the latest tech trends, and discover opportunities perfectly aligned with their expertise.

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Firefly's Blue Ghost Lunar Lander Enters Lunar Orbit

2025-02-16

Firefly Aerospace's Blue Ghost lunar lander, launched from Kennedy Space Center aboard a Falcon 9 rocket, has successfully entered lunar orbit. This CLPS mission carries a record-breaking 10 NASA payloads designed for various scientific experiments, including studying lunar heat flow and the plume generated during landing. After final preparations, the lander is scheduled to touch down near Mare Crisium on March 2nd.

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Intel Open Sources Tofino P4 Software, Ushering in a New Era for Programmable Networks

2025-01-16

Intel has announced the open-sourcing of its Tofino P4 software, a significant milestone. The Tofino family of programmable Ethernet switches has been at the forefront of network innovation, offering unparalleled programmability that allows organizations to shape their networks like never before. This open-sourcing invites the global developer community to participate in shaping the future of networking. It democratizes access to high-performance networking tools, benefiting startups, academic institutions, and developers in under-resourced regions.

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(p4.org)

Can Iterative Prompting Make LLMs Write Better Code?

2025-01-03
Can Iterative Prompting Make LLMs Write Better Code?

This blog post details an experiment exploring whether repeatedly prompting a Large Language Model (LLM) to "write better code" improves code quality. Using Claude 3.5 Sonnet, the author starts with a simple Python coding problem and iteratively prompts the LLM. Performance improves dramatically, achieving a 100x speedup. However, simple iterative prompting leads to over-engineering. Precise prompt engineering yields far more efficient code. The experiment shows LLMs can assist code optimization, but human intervention and expertise remain crucial for quality and efficiency.

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Sound as Pure Form: A Stack-Based Postfix Notation Language for Sound

2025-06-22
Sound as Pure Form: A Stack-Based Postfix Notation Language for Sound

SAPF is an interpreter for exploring sound as pure form. Its language is primarily functional, stack-based, and uses postfix notation similar to FORTH. It represents audio and control events using lazy, potentially infinite sequences, aiming to do for lazy sequences what APL does for arrays: provide very high-level functions with pervasive automatic mapping, scanning, and reduction operators. This allows short programs to achieve disproportionately large results. Because nearly all programmer-accessible data types are immutable, the language can easily run multiple threads without deadlock or corruption. Inspired by APL, Joy, Haskell, Piccola, Nyquist, and SuperCollider, it prioritizes concise expressiveness.

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Shell Injection Vulnerabilities Lurking in Unix Utilities

2025-06-10
Shell Injection Vulnerabilities Lurking in Unix Utilities

Many Unix utilities use the `system(3)` function to execute external commands, leading to potential shell injection vulnerabilities. This article delves into this issue, analyzing the behavior of `system(3)`, `sh -c`, and various tools like `watch`, `ssh`, and `i3`, demonstrating how shell metacharacters can be used to bypass security measures. The author advocates for avoiding `system(3)` and provides mitigation techniques, such as using `exec --` and proper quoting and escaping. Ultimately, the article calls for developers to address these security flaws in their tools.

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Development shell injection

Small but Mighty: Redefining Success in the Software Industry

2025-02-18

This article explores how small software companies can thrive against tech giants. The author highlights examples like SQLite, Hwaci, Pinboard, Tarsnap, Sublime Text, and Zig, showcasing their success despite their small size. These companies prioritize high-quality products, unique business models, and customer focus for long-term sustainability. They reject Silicon Valley's 'grow or die' mentality, opting for a more sustainable and fulfilling definition of success. Their human-centric approach fosters strong customer relationships. The author argues that this 'small but mighty' model isn't about lacking ambition, but choosing a different path to success.

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Lessons Learned Building LLM Apps

2025-01-21

This post summarizes lessons learned from building applications using Large Language Models (LLMs). LLMs excel at transforming large amounts of text into concise summaries; they struggle with generating more text than input or relying on their pre-trained data for complex reasoning. Effective LLM applications should provide the LLM with all necessary information, letting the LLM perform text condensation. The author advises against using LLMs for tasks requiring human expertise (e.g., medical diagnosis) and emphasizes that LLMs should augment, not replace, human workers. Avoid using LLMs for tasks that can be done with regular code.

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The Power of Abstraction: How Linux and FFmpeg Build Extensible Media Frameworks

2025-03-09
The Power of Abstraction: How Linux and FFmpeg Build Extensible Media Frameworks

This article explores how Linux and FFmpeg achieve code extensibility through abstraction and interfaces. Linux's "everything is a file" philosophy, using the `file_operations` structure to define a common interface for file operations, allows various resources (network sockets, special files, USB devices) to be accessed uniformly. FFmpeg employs a similar strategy, using abstract concepts like `AVCodec` to easily add new codecs and formats; the integration of DAV1d exemplifies this design's advantages. The article uses Ruby, Go, and C code examples to illustrate different ways to implement abstract interfaces in various programming languages, ultimately highlighting the crucial role of good software design in improving code maintainability and extensibility.

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Development

Supercharge HDD Write Performance with Linux's dm-writecache

2025-02-03
Supercharge HDD Write Performance with Linux's dm-writecache

This article delves into Linux's dm-writecache kernel module, which leverages an NVMe SSD as a write-back cache for slower HDDs, dramatically improving random write performance. The author demonstrates a speed increase of tens of times through experiments comparing random write speeds with and without dm-writecache. The article also covers other caching methods and tools like bcache and ReadyBoost, detailing the configuration of dm-writecache using both LVM2 and the dmsetup utility for those without LVM2. Finally, it summarizes the significant performance gains achieved with dm-writecache and suggests using the remaining NVMe space to cache other slower drives.

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Development Caching

Arsenal FC Seeking AI Research Engineer to Revolutionize Football Analytics

2025-01-25
Arsenal FC Seeking AI Research Engineer to Revolutionize Football Analytics

Arsenal Football Club is searching for a highly skilled Research Engineer to leverage AI and deep learning for cutting-edge football analytics. The ideal candidate will possess expertise in deep learning techniques (Transformers, Diffusion models, etc.), handle diverse datasets (images, video, text), and collaborate with software engineers, UX designers, and football analysts to build impactful applications. This role offers the chance to contribute across various aspects of the club, from player recruitment to match preparation, driving on-field success through a data-driven approach.

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VLM Run Hub: Pre-defined Pydantic Schemas for Simplified Visual Data Extraction

2025-02-20
VLM Run Hub: Pre-defined Pydantic Schemas for Simplified Visual Data Extraction

VLM Run Hub is a comprehensive repository of pre-defined Pydantic schemas for extracting structured data from unstructured visual domains like images, videos, and documents. Designed for Vision Language Models (VLMs) and optimized for real-world use cases, it simplifies integrating visual ETL into your workflows. It offers various pre-defined schemas, such as an Invoice schema for extracting invoice metadata, and supports multiple VLMs including OpenAI's GPT-4o and Anthropic's Claude Vision. Using Pydantic schemas ensures accurate and reliable data extraction and simplifies downstream workflows.

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PicoLisp Documentation: A Comprehensive Guide

2025-03-16

This document aims to guide you through mastering the PicoLisp programming language. It gathers scattered PicoLisp code and knowledge from the internet, providing tutorials, examples, and explanations of important concepts from beginner to advanced levels. The documentation covers efficient editing, different versions of PicoLisp (including the 64-bit version and ErsatzLisp in Java), online books, source code, and numerous useful libraries and frameworks such as Web.l, Macropis, and Pl-web. You'll learn how to build projects and share your creations with the community.

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Development

Iron Age Celtic Tribe Centered Around Women, DNA Reveals

2025-01-21
Iron Age Celtic Tribe Centered Around Women, DNA Reveals

A groundbreaking study using ancient DNA has revealed a surprising social structure in an Iron Age Celtic tribe in Britain. Unlike previous prehistoric societies, the Durotriges tribe, dating from 100 BCE to 100 CE, was centered around women. Analysis of mitochondrial DNA showed matrilocal residence, with men moving to their wives' communities. This provided women with strong support networks and significant influence, challenging traditional gender roles and offering a new perspective on ancient social organization. The findings suggest a widespread matrilocal custom across Britain during the Iron Age.

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Iodized Salt and the Unexpected IQ Boost

2025-01-29
Iodized Salt and the Unexpected IQ Boost

New research reveals that adding iodine to salt in the US since 1924 significantly boosted cognitive abilities across the American population throughout the 20th century. Initially implemented to reduce goiter, studies now show iodine's crucial role in brain development. By comparing military enlistment data from before and after 1924, researchers found a 15-point IQ increase in low-iodine areas. While early iodine supplementation caused some thyroid-related deaths, the initiative virtually eradicated iodine deficiency and its consequences. This discovery may also partially explain the Flynn Effect – the observed rise in IQ scores throughout the 20th century – suggesting iodine contributed to a significant portion of this increase.

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Tech iodine IQ

AI-Powered Hotness Map of Restaurant Patrons

2025-07-04

A website scraped millions of Google Maps restaurant reviews and fed the reviewers' profile pictures to an AI model that rates attractiveness on a scale of 1-10. The resulting map visualizes the average attractiveness of each restaurant's clientele, with red indicating high attractiveness and blue indicating low. While acknowledging the AI's inherent biases and flaws, the creator argues that people subconsciously judge places based on the people who frequent them. The website simply quantifies these superficial judgments, acting as a mirror reflecting our collective vanity.

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The Cognitive Cost of LLMs: A Study on Essay Writing

2025-06-18

A study investigating the cognitive cost of using Large Language Models (LLMs) in essay writing reveals potential negative impacts on learning. Participants were divided into three groups: LLM, search engine, and brain-only. EEG data showed that the LLM group exhibited weaker neural connectivity, lower engagement, and poorer performance in terms of essay ownership and recall, ultimately scoring lower than the brain-only group. The findings highlight potential downsides of LLM use in education and call for further research to understand the broader implications of AI on learning environments.

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AI

FLAME: A Lightweight Language Model for Spreadsheet Formulas

2025-01-22
FLAME: A Lightweight Language Model for Spreadsheet Formulas

Large language models are expensive to train and deploy for assisting with Excel formula authoring. This paper introduces FLAME, a transformer-based model trained exclusively on Excel formulas. With only 60 million parameters and a fraction of the training data used by larger models, FLAME achieves competitive or even superior performance on formula repair, completion, and retrieval tasks compared to models like Codex and CodeT5. This is attributed to its novel pre-training objectives and Excel-specific tokenizer.

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Development formula

AI Navigation Revolution: Bearings Only Solves Distance Measurement Challenge

2025-01-21
AI Navigation Revolution: Bearings Only Solves Distance Measurement Challenge

DeepMind's Bearings Only is a groundbreaking AI system that autonomously navigates using only bearing information (direction to target). This eliminates the traditional reliance on distance measurements, excelling in complex environments lacking distance data, such as underwater or space exploration. By learning from vast bearing datasets, the AI predicts target location and plans routes, revolutionizing underwater vehicle navigation and space exploration. This technology showcases AI's potential beyond navigation, suggesting new applications in challenging environments.

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Blizzard Reverses Hardcore WoW Classic Death Policy After DDoS Attacks

2025-03-25
Blizzard Reverses Hardcore WoW Classic Death Policy After DDoS Attacks

Streamer Sodapoppin's World of Warcraft Classic Hardcore raid was wiped out by a DDoS attack. Blizzard responded by resurrecting characters killed during the attack, a departure from the game's usual permadeath policy. Blizzard stated that the DDoS attack was a malicious third-party action, warranting a different response than typical in-game deaths. While the overall Hardcore mode rules remain unchanged, deaths specifically caused by external attacks like this will be handled differently.

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SCQA: A Framework for Compelling Storytelling

2025-02-03
SCQA: A Framework for Compelling Storytelling

SCQA is a framework for structuring information using Situation, Complication, Question, and Answer to create clear, engaging narratives. The article uses gamification in physical therapy as an example, showing how SCQA transforms a mundane process into a compelling story, improving patient engagement. Applicable across various fields—business, policy, science—and media—emails, presentations, books, blogs—SCQA enhances communication and clarity.

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Building an LLM from Scratch: A Deep Dive into Dropout

2025-03-20
Building an LLM from Scratch: A Deep Dive into Dropout

This post documents the author's journey through the dropout chapter of Sebastian Raschka's "Build a Large Language Model (from Scratch)". Dropout is a regularization technique that prevents overfitting by randomly ignoring some neurons or weights during training, thus spreading knowledge more broadly across the model. The author details the implementation of dropout and explores nuances of its application in LLMs, such as applying dropout to attention weights or value vectors, and rebalancing the resulting matrix. The post also touches upon practical dropout rate choices and the challenges of handling higher-order tensors for batch processing, setting the stage for further learning.

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Development

The Internet's Dark Side: A Call for Humanity's Reckoning

2025-02-15

The author condemns the internet's manipulation by mega-corporations and the ultra-wealthy, leading to moral decay and widening inequality. They advocate for a new internet order prioritizing privacy, human values, and ethics, proposing the confiscation of assets from billionaires to alleviate global poverty and inequality. This piece is idealistic but prompts deep reflection on power, wealth, and social justice.

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Haiku January Development Report: Core Improvements and New Features

2025-02-14

The January Haiku development report covers numerous improvements, including a major refactor of the Tracker file manager adding context menus, cut/copy/paste functionality, and live menu updates. Applications saw additions such as new features in the icon editor, touchpad settings, and styled text editor. Driver support was expanded to include Alder Lake chipsets, AMD temperature monitoring, and the Wacom CTH-470. Kernel-level changes focused on extensive memory management, page mapping, and permission check optimizations, boosting system stability and security. Many bugs were fixed, and the build system and documentation were improved.

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Development Development Report

Rust's Superior Defaults: Preventing Dumb C++ Mistakes

2025-09-06

This article highlights a common C++ pitfall: accidentally copying data instead of referencing it due to a missing ampersand (&). The author demonstrates how Rust's default move semantics and borrow checker prevent this subtle but performance-critical error. Using examples like `vec::retain`, the article shows how Rust's compiler proactively catches such mistakes at compile time, enhancing code reliability. While C++ offers mechanisms to avoid this, Rust's defaults are simpler and more effective, reducing cognitive load for developers. The comparison also touches upon idiomatic versus unidiomatic Rust code, showing that even non-conventional approaches are less prone to these errors in Rust.

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Development

Alibaba Unveils Qwen2.5-Max: A Massive MoE Language Model

2025-01-28
Alibaba Unveils Qwen2.5-Max: A Massive MoE Language Model

Alibaba has released Qwen2.5-Max, a large-scale Mixture-of-Experts (MoE) model pre-trained on over 20 trillion tokens and further refined with supervised fine-tuning and reinforcement learning from human feedback. Benchmarks like MMLU-Pro, LiveCodeBench, LiveBench, and Arena-Hard show Qwen2.5-Max outperforming models such as DeepSeek V3. The model is accessible via Qwen Chat and an Alibaba Cloud API. This release represents a significant advancement in scaling large language models and paves the way for future improvements in model intelligence.

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