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Discord Linkedin Reddit Twitter Home Open Source/Weights Enterprise AI AI Tools & Agents miniCON 2025 Promote Your AI Solution Search News Hub My account Get into your account. Login Register News Hub Premium Content Read our exclusive articles Facebook Instagram Twitter Home Open Source/Weights Enterprise AI AI Tools & Agents miniCON 2025 Promote Your AI Solution News Hub Home Open Source/Weights Enterprise AI AI Tools & Agents miniCON 2025 Promote Your AI Solution Home Editors P
Have you ever wondered how commentators can accurately tell about a player’s form or summarize key stats quickly during the game? The magic of sports analytics allows sports fanatics to collect, evaluate, and make in-depth decisions to improve performance. Machine learning plays a key role in this, as it can analyze data about players and […] The post How to Use Machine Learning in Sports Analytics?
We need to augment our command line tools and design APIs so they can be better used by LLM Agents. The designs are inadequate for LLMs as they are now – especially if you're constrained by the tiny context windows available with local models.
Kimi K2 (by Moonshot AI) and Llama 4 (by Meta) are both state-of-the-art open large language models (LLMs) based on Mixture-of-Experts (MoE) architecture. Each model specializes in different areas and is aimed at advanced use cases, with different strengths and philosophies. Till a week ago, Llama 4 was the undisputed king of the open-source LLMs, […] The post Kimi K2 vs Llama 4: Which is the Best Open Source Model?
Speaker: Jason Chester, Director, Product Management
In today’s manufacturing landscape, staying competitive means moving beyond reactive quality checks and toward real-time, data-driven process control. But what does true manufacturing process optimization look like—and why is it more urgent now than ever? Join Jason Chester in this new, thought-provoking session on how modern manufacturers are rethinking quality operations from the ground up.
@yberreby - Yohaï-Eliel Berreby Posts @yberreby - Yohaï-Eliel Berreby Posts Contents What I Need My Computer For Nine Beautiful Years of Arch Linux Hardware That Wears You Out Eating the Forbidden Fruit The Lazy Frankenmac Nix as a Package Manager Of Course It Doesn't Work Out of The Box Once Nix is Set Up, You're Flying Closing Words I Used Arch, BTW: macOS, Day 1 2025-07-19 TL;DR : I used Arch Linux for nine years as a daily driver on non-Apple laptops.
It’s the age of AI, a time of runaway innovation – more and more of our lives are impacted by digital systems running on electronic hardware, and a lot of what used to be science fiction is now science fact.
It’s the age of AI, a time of runaway innovation – more and more of our lives are impacted by digital systems running on electronic hardware, and a lot of what used to be science fiction is now science fact.
Skip to main content IT Notes Toggle main menu Home Archives Categories Tags About Under The Hood Professional Services Series Make Your Own Backup System â Part 1: Strategy Before Scripts 13 min read 18/07/2025 09:00:00 by Stefano Marinelli An hard disk - ready to host our backups Categories: backup , data , server , vps , filesystems , ownyourdata , series , tutorial Tags: backup , data , server , vps , filesystems , ownyourdata , series , tutorial Backup: Beyond the Simple Copy For as long
This week, owners of Tesla cars learned that they were getting a freebie: Starting July 12, all new Tesla vehicles have automatically had the Grok AI …
Healthcare is a glaring concern due to high costs and various challenges it poses. However, the issues extend beyond that, including frequent false positives in diagnoses and mistakes in surgery, which contribute to uncertainty in outcomes. With the rise of large language models (LLMs), one might wonder how they can improve healthcare. Healthcare, as of […] The post Can AI Make Healthcare Affordable?
ETL and ELT are some of the most common data engineering use cases, but can come with challenges like scaling, connectivity to other systems, and dynamically adapting to changing data sources. Airflow is specifically designed for moving and transforming data in ETL/ELT pipelines, and new features in Airflow 3.0 like assets, backfills, and event-driven scheduling make orchestrating ETL/ELT pipelines easier than ever!
Skip to content Gizmodo Search Home Latest Tech Reviews Science io9 AI Video Deals Artificial Intelligence Crypto Founder Ken DiCross on How He Uses AI: ‘I Don’t Trust AI,’ but ‘I Use It for Everything’ Wire Network CEO Ken DiCross uses AI to save hours per day but warns about the dangers of trusting it blindly. By Luc Olinga Published July 19, 2025 | Comments ( 2 ) | 𝕏 Copied!
endtimes.dev about projects archive contact mastodon RSS buy me a coffee Why your website should be under 14kB in size Having a smaller website makes it load faster — thats not surprising. What is surprising is that a 14kB page can load much faster than a 15kB page — maybe 612ms faster — while the difference between a 15kB and a 16kB page is trivial.
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
Pricing Blog Careers Don't animate height! Jim Fisher January 29 Our app was mysteriously using 60% CPU and 25% GPU on my M2 MacBook. It turned out this was due to a tiny CSS animation! In this post, I show how to find expensive animations, why some are so expensive, and how to make many animations much cheaper. Along the way, we'll learn how the browser renders CSS animations and how to use Chrome's dev tools for performance profiling.
Republished on July 20 with a new report showing why your inbox is under threat. Google is on a roll with Gmail. Upgrading the world’s most popular email platform with a raft of AI uplifts that give its 2 billion users some serious decisions to make, as they balance privacy and convenience.
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Without even looking at medical data, it's pretty clear that "artificial intelligence" — a vast umbrella term for various technologies over the years, but currently dominated by the data-hungry neural networks powering chatbots and image generators — can have life-altering effects on the human brain. We're not even three years out from the release of the first commercially-available LLM, and AI users have already been driven to paranoid breaks from reality , religious mania , and even suicide.
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
Table of contents What is an AI Agent? Why AI Agents Matter in 2025 Types of AI Agents Key Components of an AI Agent Leading AI Agent Frameworks in 2025 Practical Use Cases for AI Agents AI Agent vs. Chatbot vs. LLM The Future of Agentic AI Systems FAQs About AI Agents Conclusion What is an AI Agent? An AI Agent is an autonomous software system that can perceive its environment, interpret data, reason, and execute actions to achieve specific goals without explicit human intervention.
Today, artificial intelligence is ubiquitous. Last month, ChatGPT – the leading AI chatbot – became the fifth-biggest website in the world. This won't come as a surprise. Over half of U.S. adults report that they've used AI models like ChatGPT, Gemini, Claude, and Copilot, according to an Elon University survey in March. About one in three respondents in the survey say they use a chatbot at least once a day.
In Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer. This is a comprehensive guide with best practices and examples to debugging Airflow DAGs. You’ll learn how to: Create a standardized process for debugging to quickly diagnose errors in your DAGs Identify common issues with DAGs, tasks, and connections Distinguish between Airflow-relate
Email Privacy Tester ðªð¸ Home Bad Email Clients About Privacy Donate Contact Known Bad Email Clients This is a list of known bad email clients, which you should avoid using if you wish to avoid tracking. Special thanks go to Andrew Klapper of the GNOME project for incentivising me to create this page; I have been meaning to create one for some time.
Amazon recently announced that it had deployed its one-millionth robot across its workforce since rolling out its first bot in 2012. The figure is astounding from a sheer numbers perspective, especially considering that we’re talking about just one company. The one million bot number is all the more striking, though, since it took Amazon merely about a dozen years to achieve.
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Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
Contents Menu Expand Light mode Dark mode Auto light/dark, in light mode Auto light/dark, in dark mode Hide navigation sidebar Hide table of contents sidebar Toggle site navigation sidebar Daniele Procida Toggle Light / Dark / Auto color theme Toggle table of contents sidebar Home Work in documentation My projects Python in Africa Articles Toggle navigation of Articles Twelve rules for job applicants Three truths about applying for jobs How to use stories in interviews My favourite German word O
NASA's X-59 quiet supersonic research aircraft has officially begun taxi tests, marking the first time this one-of-a-kind experimental aircraft has moved
Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri
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