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OpenAI AGI 🏆, World's Biggest Tech Event 🤖, New Apps 🎉
Today's TechToks: OpenAI AGI agents, Nvidia at-home supercomputer, Breaking on purpose, Trending GitHub repositories, Fresh Product Picks, and much more!
Welcome to 2025’s first edition of
See all as stories in techtok.today
Today's Picks🍒
🚀 OpenAI ‘knows to build AGI’, Nvidia at-home supercomputer, CES 2025
🤖 From Slack Engineering: Break Stuff on Purpose
🌟 GitHub's Trending Repositories
🔮Microsecond UI library
🎮 PS4 Emulator
🧠 Learn awesome LLM
🔥 Products of the Week
🏆 Your WhatsApp year in review
💼 Linkedin mock interviews
👂 Test your accent
➕ And much more
🧐 Weekly Picks
Most impactful articles and news of this week on techtok.today
GETTY images
OpenAI CEO Sam Altman states confidence in developing AGI and targets workforce-ready agents by 2025, in a blog post. Ambitiously, he claims the company turns their aim to superintelligence— a form of AI more intelligent than people.
More Tech News
📱 Product Picks
Curated products from Product Hunt.
🔥Trending products of the week
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Your WhatsApp group’s year in review.
Recap your group chats with quirky stats, awards, and a year-end celebration. A fun, interactive WhatsApp bot for 2024 and beyond.
Identify your English accent in 30 seconds.
Speak into BoldVoice and let its AI guess your accent origin, providing detailed analysis and improvement plans.
🛠 Zipy
Debug apps with AI-enhanced session replays.
Debug web and mobile apps with real-time session replays, frontend monitoring, and network insights. Features stack trace, console, and network logs for streamlined issue resolution.
GitHub activity, wrapped like Spotify.
Celebrate your coding journey with visualized summaries of top languages, commits, and streaks, presented in an engaging story format.
AI-generated mock interviews from LinkedIn jobs.
Transform any LinkedIn job description into tailored mock interviews. Get specific questions and feedback to refine your skills instantly.
👩🏽💻 Engineering Blogs
Articles from engineering blogs of big tech companies
Slack engineers turned a major incident into a powerful learning opportunity. When outdated backups caused Kibana dashboards to fail, they didn’t just fix the problem—they engineered a recovery test focused on improvement and resilience. Here’s how they did it:
What they did: Intentionally filled the disk on a development Kibana cluster to simulate a failure and test the new backup and recovery process, specifically the restoration of visualizations and indexes.
What they found: Significant flaws, including missing firewall rules, outdated runbooks, and a backup system that hadn’t been properly maintained, resulting in a two-year-old unusable backup.
What they achieved: Automated the recovery process with a new CLI tool for fast, reliable backup restoration, and updated the runbooks with clearer, step-by-step instructions for quick recovery during incidents.
The results? A fully operational system with streamlined processes and improved recovery time, saving valuable hours during critical failures.
The takeaway: Every system has hidden failure points. Break things intentionally, uncover flaws, refine your processes, and ensure that when disaster strikes, you're prepared for a swift recovery.
✨ "Too long don't README"
GitHub trending repos of today
Clay is a powerful 2D UI layout library that offers microsecond performance, a flex-box like layout model, and a React-like declarative syntax. It uses static arena-based memory and outputs rendering primitives for easy integration into any 3D engine or HTML.
What can you use this for? Improve SEO with fast page load, build high performance websites quick and simple
shadPS4 is an early PlayStation 4 emulator written in C++ that can currently run games like Bloodborne and Dark Souls Remastered. It uses reverse engineering techniques and a custom shader compiler to emulate the PS4 hardware and software.
What can you use this for? Run games, contribute to open-source, and join the discord community
Repos to learn something new
This repository is a comprehensive collection of resources related to large language models, covering milestone papers, open-source projects, datasets, evaluation, training, deployment, and applications.
Table of Contents
What can you use this for? Learn about LLMs, read academic papers, and see the LLM leaderboard or trending projects