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Super Mario Bros. came out in 1985. But what if it were 1885? Composer JunWu created this impressive classical arrangement of the game’s score. The piece reimagines the game’s 8-bit soundtrack as something much grander. He put it together using MuseScore 4 and the MuseSounds library. Imagine how great this would sound played by a live orchestra.
The Awesomer
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Apparently Backstreet’s back and doing shows again in Vegas!
Not the Bee
In 2025, MySQL celebrated its 30th anniversary—and to mark the milestone, Oracle University (together with the MySQL Community team) offered free MySQL training and free certification exams from April 20 through July 31, 2025. The goal was simple: make it easy for developers, DBAs, architects, and newcomers to build practical skills and validate them with […]Planet MySQL
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Steve and Timpani moved from California to Texas in the hit series Californians Move To Texas. There were a few cultural differences they weren’t prepared for in going from California wokeness to Texas freedom. Now their story continues…
In the all-new season, Steve and Timpani’s continued adjustment to all things Texas hits a speed bump when Timpani’s sister, Brittuni, arrives to talk some "California sense" into her gun-loving sister. Can Steve and Timpani’s love survive the wedge slowly being driven between them? And who knows what other surprises may be in store.
Catch the trailer here and get hype:
Episode 1: The Rodeo will premiere on YouTube on April 7 at 7PM PT:
Babylon Bee
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And we have a winner! It was a busy weekend of match ups and we have our champion.
#1 Oracle vs. #2 MongoDB – Winner = Oracle
Oracle has too much enterprise credibility to overcome and they outlast the document database fans to win its matchup.
#1 MySQL vs. #3 DuckDB – Winner = MySQL
While in-process analytics are gaining in importance, the versatility and transactional nature of MySQL makes this a comfortable win for MySQL.
#1 PostgreSQL vs. #2 Snowflake – Winner = PostgreSQL
This was a match up of heavyweights with a battle of OTLP leader vs. OLAP leader. A classic matchup of different styles. Ultimately, the open source community of committers and extensions carried PostgreSQL to the victory.
#1 SQL Server vs. #2 Databricks – Winner = SQL Server
Another battle of styles, where the enterprise chops of SQL Server go up against the momentum of Databricks in data management. Ultimately, Microsoft ability to to recruit from the transfer portal was enough to squeak by Databricks in this last second decision.
#1 Oracle vs. #1 MySQL – Winner = MySQL
It’s the age-old story of the protege vs. the parent figure. Oracle is the owner of both databases but only one is open source. That open source ability allows the community to pull together to push it to victory. This was really a match up of proprietary vs. open source, and today, at least, open source has carried the day.
#1 PostgreSQL vs. #1 SQL Server – Winner = PostgreSQL
In what has become a theme of the tournament, it’s an open source juggernaut vs. the incumbent proprietary database. While SQL Server had all the support of the windows community, the overall open source community were able to hold on to win. The unsung hero was the extension authors that make PostgreSQL the innovation platform it is.
#1 PostgreSQL vs. #1 MySQL
I think we can all agree that tournaments and databases are better when there are two open source powerhouses to compete. This is the renewal of a 30+ year rivalry and it surely didn’t disappoint. The community and extensions of PostgreSQL showed up when it counted and had MySQL on the ropes in the second hard. Ultimately, the multi-threaded nature of MySQL and its default replication wich have been the bedrock of MySQL usage, were able to hold of Postgres and seal the victory and the championship.
What a thrilling end to the tournament. In the end, it was going to a two horse race by the open source OLTP leaders. It was just a question of which was going to outlast the other. The real winner was open source and the communities that support them, so keep supporting your favorite open source project.
Congrats to MySQL! The winner of the 2026 Tournament of Databases.
To get more database news and updates, subscribe to the Village Crier or checkout VillageSQL on Github.
Planet for the MySQL Community
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3D Filament Profiles attempts to standardize and track 3D printer filament inventories, and that could simplify FFF 3D printing.
The post A Long-Needed Database For Filament Management appeared on Fabbaloo.
Fabbaloo
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The first trailer for Masters of the Universe set the tone, and now this second one digs deeper, gets bigger, and really lets us know what we can expect later this summer. There’s more Eternia, more fan-favorite side characters, and more Prince Adam, who finds himself in our world to protect the secrets of his home.
Directed by Travis Knight, Masters of the Universe comes to theaters June 5. It’s the long-awaited, highly anticipated return to live action for the popular toy line/animated series that found new life on Netflix. Here, though, Nicholas Galitzine stars as He-Man, alongside Camila Mendes as Teela, Idris Elba as Man-At-Arms, Alison Brie as Evil-Lyn, Morena Baccarin as the Sorceress, James Purefoy as King Randor, and, who could forget, Jared Leto as Skeletor.
Check out the new trailer for Masters of the Universe below.
We sincerely hope this film can find that tonal balance that Knight found with his Bumblebee movie, but we aren’t so sure. In this day and age, are general audiences ready to embrace such an out-there, fantastical world? Especially one that’s so based on decades-old nostalgia?
We’ll find out soon and have much more on Masters of the Universe in the coming weeks. For now, let us know what you thought of the trailer below.
Want more io9 news? Check out when to expect the latest Marvel, Star Wars, and Star Trek releases, what’s next for the DC Universe on film and TV, and everything you need to know about the future of Doctor Who.
Gizmodo
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Running Ollama in your terminal allows you to start chatting with a local large language model (LLM) quickly. You won’t need API keys, cloud services, or ongoing costs. Ollama is a free, open-source tool that lets you download and run models directly on your machine. By following this guide, you’ll install Ollama, chat with local models from your terminal, and use them to power agentic coding tools:
Example of Using Ollama to Run an LLM Locally
Large language models traditionally require expensive API subscriptions and a constant internet connection. Ollama eliminates both requirements by running models directly on your hardware. Because everything runs locally, your prompts stay on your machine, and no per-token fees apply.
Get Your Cheat Sheet: Click here to download your free Ollama cheat sheet and keep the essential steps and commands for running LLMs locally at your fingertips.
Take the Quiz: Test your knowledge with our interactive “How to Use Ollama to Run Large Language Models Locally” quiz. You’ll receive a score upon completion to help you track your learning progress:
Interactive Quiz
How to Use Ollama to Run Large Language Models Locally
Test your knowledge of running LLMs locally with Ollama. Install it, pull models, chat, and connect coding tools from your terminal.
To follow this guide, you’ll need the following software and hardware:
No Python installation is required for this guide, and no prior experience with LLMs or AI is needed. If you want to integrate Ollama with Python after finishing here, check out How to Integrate Local LLMs With Ollama and Python.
To quickly install Ollama on your operating system, run the following command based on your platform:
PS> irm https://ollama.com/install.ps1 | iex
$ curl -fsSL https://ollama.com/install.sh | sh
Once this command finishes, Ollama will be installed on your system.
Note: In some Linux distributions, you may need to install curl to download the installer and the zstd library for extraction. On Debian/Ubuntu, you can install them with the following command:
$ sudo apt update && sudo apt install curl zstd
Alternatively, you can download a dedicated installer for Windows and macOS. Visit Ollama’s download page to get the installer for those operating systems.
Note: Ollama has a GUI application for macOS and Windows users. This quick guide focuses solely on the command-line (CLI) tool. See Ollama’s app announcement if you want to explore that option.
After installation, you can verify that the CLI is available with the following command:
$ ollama -v
ollama version is 0.17.7
The Ollama service should be running in the background. Normally, you don’t need to start it manually. It runs on port 11434 by default. If you get a warning after running the command above, then you may need to run the background server manually:
$ ollama serve
[ Improve Your Python With 🐍 Python Tricks 💌 – Get a short & sweet Python Trick delivered to your inbox every couple of days. >> Click here to learn more and see examples ]
Planet Python
A Herd-like local PHP development environment for Linux — Podman-native, rootless, zero system dependencies.
Lerd bundles Nginx, PHP-FPM, and optional services (MySQL, Redis, PostgreSQL, Meilisearch, RustFS) as rootless Podman containers, giving you automatic .test domain routing, per-project PHP/Node version isolation, and one-command TLS — all without touching your system’s PHP or web server. Laravel-first, with built-in support for Symfony, WordPress, and any PHP framework via YAML definitions.
Laravel Sail is the official per-project Docker Compose solution. Lerd is a shared infrastructure approach, closer to what Laravel Herd does on macOS. Both are valid — they solve slightly different problems.
| Lerd | Laravel Sail | |
|---|---|---|
| Nginx | One shared container for all sites | Per-project |
| PHP-FPM | One container per PHP version, shared | Per-project container |
| Services (MySQL, Redis…) | One shared instance | Per-project (or manually shared) |
.test domains |
Automatic, zero config | Manual /etc/hosts or dnsmasq |
| HTTPS | lerd secure → trusted cert instantly |
Manual or roll your own mkcert |
| RAM with 5 projects running | ~200 MB | ~1–2 GB (5× stacks) |
| Requires changes to project files | No | Yes — needs docker-compose.yml committed |
| Works on legacy / client repos | Yes — just lerd link |
Only if you can add Sail |
| Defined in code (infra-as-code) | No | Yes |
| Team parity (all OS) | Linux only | macOS, Windows, Linux |
Choose Sail when: your team uses it, you need per-project service versions, or you want infrastructure defined in the repo.
Choose Lerd when: you work across many projects at once and don’t want a separate stack per repo, you can’t modify project files, you want instant .test routing, or you’re on Linux and want the Herd experience.
ddev is a popular open-source local development tool that spins up per-project Docker containers with a shared Traefik router. It supports many frameworks (Laravel, WordPress, Drupal, etc.) and runs on macOS, Windows, and Linux. Lerd is narrower in scope — Laravel-focused, Podman-native, shared infrastructure — closer to the Herd model.
| Lerd | ddev | |
|---|---|---|
| Container runtime | Rootless Podman | Docker (or Orbstack / Colima) |
| Architecture | Shared Nginx + PHP-FPM across all projects | Per-project containers + shared Traefik router |
| Services (MySQL, Redis…) | One shared instance | Per-project (isolated by default) |
| Domains | .test — automatic, zero config |
.ddev.site or custom — automatic via Traefik |
| HTTPS | lerd secure → trusted cert instantly |
Built-in via mkcert |
| RAM with 5 projects running | ~200 MB | ~500 MB–1 GB (5× app containers + router) |
| Requires changes to project files | No | Yes — needs .ddev/config.yaml committed |
| Works on legacy / client repos | Yes — just lerd link |
Only if you can add ddev config |
| Framework support | Laravel built-in; any PHP framework via YAML definitions | Laravel, WordPress, Drupal, and many more |
| Defined in code (infra-as-code) | No | Yes |
| Team parity (all OS) | Linux only | macOS, Windows, Linux |
Choose ddev when: your team is cross-platform, you work with multiple frameworks (not just Laravel), you want per-project service isolation, or your workflow already depends on Docker.
Choose Lerd when: you’re on Linux, want a zero-config shared stack you can drop any project into without touching its files, prefer rootless Podman, or want the lightweight Herd-like experience.
Laravel News Links
https://photos5.appleinsider.com/gallery/48649-95006-000-lead-Woz-xl.jpgApple’s 50th anniversary is also the anniversary of the Apple-1. The Apple-1 isn’t the only world-changing product that came out in 1976, with many other world-changing inventions sharing the stage.
In 1976, Steve Wozniak, Steve Jobs, and Ronald Wayne shipped Apple’s first product — the Apple-1. Fifty years later, absent all three founders for various reasons, the company stands as one of the world’s largest technology companies by revenue. Not only is Apple vastly profitable, it has made incredible globe-spanning strides in computing, smartphones, wearables, and more.
While the Apple-1 is undeniably one of the most important devices in the home computing revolution, it was hardly the only heavy-hitter that came out that year. As it turns out, incredible strides were being made across many industries, ranging from spaceflight to medtech, consumer electronics to cryptography, with many of the inventions laying groundwork for products and systems we see today.
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