エピソード

  • GitHub Actions Changes & C++ Divide
    2024/11/26

    Welcome to The Compiler, a daily curation of tech news

    ️ IN THE NEWS
    • Notice of breaking changes for GitHub Actions

      Several significant changes are coming to GitHub Actions, including the migration of the 'ubuntu-latest' label to 'ubuntu 24' starting on December 5.

    • The two factions of C++

      There's a growing rift between C++ developers with good tooling who can easily build from source and those with poor tooling who struggle - a divide that's unlikely to close soon.

    TOOLS YOU'LL ACTUALLY USE
    • Agentplace

      Platform for creating interactive AI websites and apps

      Usage: Build AI-powered sites without coding

      Stars: N/A (Product Hunt launch)

      Last commit: N/A (Product Hunt launch)

    Thanks for reading!

    Andrew Pierno

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    3 分
  • Telegram Bot, OpenAI, and Tinygrad
    2024/11/26

    Welcome to The Compiler, a daily curation of tech news

    TOOLS YOU'LL ACTUALLY USE

    python-telegram-bot
    Comprehensive Python wrapper for the Telegram Bot API
    pip install python-telegram-bot
    Stars: 23.4k, Last commit: 1 day ago

    nexa-sdk
    Toolkit for GGML and ONNX models supporting text/image generation, VLM, ASR, and TTS
    pip install nexa-sdk
    Stars: 62, Last commit: 2 days ago

    openai-python
    Official Python library for the OpenAI API
    pip install openai
    Stars: 14.7k, Last commit: 4 days ago

    REPO OF THE WEEK

    tinygrad
    Lightweight deep learning framework in pure Python
    Key feature: Implements autograd and neural networks from scratch
    Recent changes: Added support for Apple Silicon, improved CUDA backend

    # Simple neural network in tinygrad from tinygrad.tensor import Tensor import tinygrad.nn.optim as optim class TinyNet: def __init__(self): self.l1 = Tensor.uniform(784, 128) self.l2 = Tensor.uniform(128, 10) def forward(self, x): return x.dot(self.l1).relu().dot(self.l2).logsoftmax() model = TinyNet() optim = optim.SGD([model.l1, model.l2], lr=0.001) # Training loop for _ in range(1000): out = model.forward(x_train) loss = out.mul(y_train).mean() optim.zero_grad() loss.backward() optim.step()

    Thanks for reading!

    Andrew Pierno

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    3 分
  • AI Second Brain & Screenshot-to-Code
    2024/11/25

    Welcome to The Compiler, a daily curation of tech news

    TOOLS YOU'LL ACTUALLY USE

    khoj

    AI second brain. Self-host to get answers from your docs. Build agents, schedule automations, do research.

    Usage: Clone repo, follow setup instructions

    16,125 stars, last commit this week

    REPO OF THE WEEK

    screenshot-to-code

    Convert screenshots to clean HTML/Tailwind/React/Vue code

    Key code: Uses AI vision model to parse screenshot and generate code

    Recent changes: Added support for multiple frameworks

    61,371 stars

    SHOWER THOUGHTS FOR DEVS

    Self-hosting your own AI assistant sounds great until you realize you now have to maintain another complex system that will eventually become legacy code you don't understand.

    Thanks for reading!

    Andrew Pierno

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    4 分
  • Nazca Lines, iOS Delays, and F1's AI Revolution ️
    2024/11/24

    Welcome to The Compiler, a daily curation of tech news

    • Kaytus KR2190V3: 2U 2-Node Server at SC24
      New high-density 2U 2-node server design showcased, offering potential performance gains for data center and enterprise applications. Relevant for infrastructure decision-makers.
    • Microsoft Announces Game Assist Browser Overlay
      New Edge-powered in-game browser overlay for Windows 11 automatically displays tips and guides. Integrates with Microsoft Game Bar, leveraging user's Edge profile for seamless data access.
    • AI and Drones Uncover 303 New Nazca Lines
      Researchers used AI-powered drones to discover 303 previously unknown Nazca Lines, doubling the number mapped since 2020. Demonstrates practical AI application in archaeological research.
    • Apple Delays Significant iOS 19 Features
      Many planned iOS 19 features postponed to version 19.4 in spring 2026. Potential impact on developers and companies in the Apple ecosystem.
    • AI and Data Centers Driving Fossil Fuel Use
      Growing power demands from AI and data centers being met by fossil fuels in the short term. Implications for tech companies' sustainability efforts and infrastructure planning.
    • Y Combinator's Startup Duplication Trend
      Analysis of ~5,000 YC-backed startups reveals frequent backing of similar products to previous graduates. Insights into YC's investment strategy and startup ecosystem dynamics.
    • AI Reshaping Formula 1 Racing
      AI transforming F1 through car design assistance, regulation development, and race strategy optimization. Showcases AI's role in managing vast data in high-performance environments.

    Thanks for reading!

    Andrew Pierno

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    3 分
  • AI in F1 & Energy Paradox ️
    2024/11/24

    Welcome to The Compiler, a daily curation of tech news

    DEPLOY NOTES

    No suitable main story found that meets the technical depth and relevance criteria for senior developers.

    UNDER THE HOOD

    ️ AI Accelerates F1 Innovation:

    AI is reshaping Formula 1, from car design to race strategy and technical regulations.

    Why it matters: Real-world application of AI in high-performance, data-intensive environments. Potential insights for optimizing complex systems and decision-making under tight constraints.

    Read more

    TOOLS YOU'LL ACTUALLY USE

    No tools meeting the criteria of practical usefulness and technical depth for senior developers were found in the provided content.

    REPO OF THE WEEK

    No GitHub repositories with significant technical interest or recent updates were mentioned in the provided content.

    SHOWER THOUGHTS FOR DEVS

    AI's Energy Paradox: While AI promises optimization in various sectors, its growing computational demands are currently being met by fossil fuels, potentially slowing the transition to clean energy. How can we balance the benefits of AI advancement with its environmental impact? Are there ways to make AI infrastructure more energy-efficient at scale?

    Source

    Thanks for reading!

    Andrew Pierno

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    3 分
  • Demikernel, Power11, and Terahertz Breakthroughs
    2024/11/23

    Welcome to The Compiler, a daily curation of tech news

    • Microsoft Continues "Demikernel" Development: Library OS for kernel-bypass I/O, potentially improving networked application performance.
    • IBM Power11 CPUs Support Nested Virtualization: Linux 6.13 adds KVM nested guest support for upcoming Power11 CPUs, enabling more flexible virtualization setups.
    • Terahertz Wireless Communication Record: New 1 km transmission record demonstrates potential for ultra-high bandwidth applications.
    • MIT's Nanoscale 3D Transistors: Ultrathin semiconductor materials enable more efficient electronics, exploring quantum effects to surpass silicon limitations.
    • Eviden's Quad NVIDIA ConnectX-7 Module: High-bandwidth, low-latency networking module for data center and HPC applications.
    • Google's AI Assistant in Android Apps: New "app functions" API in Android 16 may allow Gemini Assistant to interact directly with app functionality.
    • Sequoia Capital's 2020 VC Fund Performance: 24.6% markup in 12 months ending June 2024, with no exits, on $808M fund.
    • Samsung's $118M Patent Infringement Penalty: Texas jury finds Samsung infringed Netlist's DRAM patents, highlighting IP risks in memory tech development.
    • Chinese Hackers in US Critical Infrastructure: US Cybercom reports hackers positioning in IT networks, crucial info for cybersecurity professionals.

    Thanks for reading!

    Andrew Pierno

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    5 分
  • RGFW, AI Agents & Java Tests ️
    2024/11/23

    Welcome to The Compiler, a daily curation of tech news

    • RGFW: Single-header C99 window abstraction library
      Lightweight, cross-platform window creation library for C developers focused on simplicity and performance.
    • Ask HN: To those with successful browser extension(s), how did you grow it?
      Practical advice on developing and marketing browser extensions from successful developers.
    • MIT researchers develop an efficient way to train more reliable AI agents
      New approach improves reliability and efficiency in AI agent training, relevant for AI developers and researchers.
    • Writing efficient unit tests in Java
      Best practices and examples for effective unit testing in Java, crucial for maintaining code quality.
    • Runtime-Extensible SQL Parsers Using Peg
      Technical deep-dive into implementing extensible SQL parsers, valuable for database developers.
    • From string to AST: parsing
      Comprehensive guide to parsing techniques for developers working on compilers or language tools.
    • TIL: Some surprising code execution sources in bash
      Exploration of lesser-known bash features that can lead to unexpected code execution, crucial for system administrators.
    • Google is prepping Gemini to take action inside of apps
      Google's Gemini AI model being prepared to interact directly with Android apps, potentially expanding mobile AI capabilities.
    • Amazon to invest another $4 billion in OpenAI rival Anthropic
      Amazon deepens partnership with AI company Anthropic, signaling continued push into AI space.
    • Whomp-whomp: AI PCs make users less productive
      Study finds AI-enhanced PCs decreased user productivity by 17%, contradicting marketing claims.
    • AWS gives its management screens a makeover in the name of improved productivity
      AWS redesigns management console to improve usability and productivity for cloud service users.
    • AMD 3D V-Cache Optimizer Driver Headlines The x86 Platform Enhancements In Linux 6.13
      New AMD driver optimizations for 3D V-Cache in Linux 6.13 could improve performance for certain workloads.
    • Sched_Ext Changes Merged For Linux 6.13 With LLC & NUMA Awareness
      Linux 6.13 includes scheduler improvements for better performance on NUMA systems.
    • Russian Spies Jumped From One Network to Another Via Wi-Fi in an Unprecedented Hack
      Sophisticated hacking technique used by Russian spies to move between networks via Wi-Fi, critical security information.
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    4 分
  • Browser Extensions, AI Training, and Java Testing
    2024/11/22

    Welcome to The Compiler, a daily curation of tech news

    • Ask HN: To those with successful browser extension(s), how did you grow it?
      Real-world insights from developers who've scaled browser extensions. Valuable for anyone looking to build and grow their own extension.
    • MIT researchers develop an efficient way to train more reliable AI agents
      New technique improves AI training efficiency by 10x. Could significantly impact AI development pipelines and resource allocation.
    • Writing efficient unit tests in Java
      Practical strategies to improve Java unit testing, focusing on performance and code quality. Essential for teams looking to optimize their testing practices.
    • Runtime-Extensible SQL Parsers Using Peg
      Advanced technique for creating flexible SQL parsers. Relevant for database engineers and those working on query optimization.
    • TIL: Some surprising code execution sources in bash
      Deep dive into lesser-known bash scripting behaviors. Critical knowledge for system administrators and DevOps professionals.
    • Google is prepping Gemini to take action inside of apps
      Android 16 API hints at deeper AI integration, allowing Gemini to perform in-app actions. Could reshape mobile app development and user interactions.
    • Linux devices hit with even more new malware, this time from Chinese hackers
      New strain of Linux malware discovered. Critical for sysadmins to update security protocols and patch vulnerable systems.
    • Typed JQ
      New tool adds type checking to JQ, enhancing JSON data processing workflows. Potential game-changer for debugging complex data transformations.
    • Amazon S3 Express One Zone now supports the ability to append data to an object
      S3 update allows appending data to existing objects. Opens up new possibilities for optimizing data storage and processing workflows in AWS.
    • MatX raises ~$80M Series A for LLM training chip design
      Startup focusing on efficient AI hardware secures major funding. Signals potential breakthroughs in AI training infrastructure.

    Thanks for reading!

    Andrew Pierno

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    4 分