Welcome to "AI with Shaily," where your host, Shailendra Kumar, takes you on an exciting journey into the world of artificial intelligence, robotics, and materials science! 🚀 In this episode, we focus on an innovative 3D-printed robot named FLUID, which is set to change the landscape of material synthesis around the globe. 🌍

Imagine being a young researcher bursting with ideas but facing financial hurdles. That's where FLUID comes to the rescue! Developed by a dedicated team led by Professor Keisuke Takahashi at Hokkaido University, FLUID is designed to make complex material creation accessible and affordable for everyone. Think of it as the Robin Hood of research tools, leveraging open-source technology and 3D printing to bring high-tech solutions to labs of all budgets. 💡

FLUID is constructed from off-the-shelf electronics, making it a cost-effective alternative to expensive machinery. Its modular design is reminiscent of assembling your favorite IKEA furniture, offering both flexibility and precision. Whether you're synthesizing materials or following a recipe, FLUID simplifies intricate processes, allowing researchers to focus on innovation rather than equipment limitations. 🛠️

One of the standout features of FLUID is its real-time software integration. Imagine having a virtual assistant like Siri guiding you through your research, making the process intuitive and user-friendly. This is a prime example of how technology can democratize scientific research, making it more inclusive and accessible worldwide. 🌐

Shaily also shares a valuable tip for researchers looking to enhance their lab capabilities: engage with open-source communities! These platforms are treasure troves of resources, support, and innovations like FLUID that can significantly transform your research experience. 🔍

As the segment wraps up, Shaily leaves us with a thought-provoking quote: "Innovation is the ability to see change as an opportunity – not a threat." This embodies the spirit of FLUID and encourages researchers to embrace opportunities for growth and advancement. 

Don’t forget to connect with Shaily on social media platforms like YouTube, Twitter, LinkedIn, and Medium to keep the conversation alive! 📱 He invites you to subscribe for more enlightening insights into AI and share your thoughts or innovative experiences in the comments. Together, let's break barriers and spread knowledge! Until next time, Shaily wishes you a curious mind and an inspired heart. 💖

Revolutionizing Research: How FLUID is Democratizing Material Synthesis

https://www.youtube.com/watch?v=aNmEDNN4Vdc&list=PLNP4Nm89WfbWQbQFEAMZsiSVyH9AylCN9&index=26
too much images just like information/news

Meta-Mashups & Tools of Recognition - Single

Meta-Mashups & Tools of Recognition

🎵 Cover of "Oxygene, Pt. 10" by Jean Michel Jarre  
🎛️ Created using LMMS 1.2.2 on Ubuntu 24.10  

This is a cover of the iconic "Oxygene, Pt. 10" by Jean Michel Jarre. I tried to stay as close to the original as possible, recreating its atmospheric synth textures using only free tools on Linux.

🧰 Plugins & Effects Used

🔊 Instruments:
- ZynAddSubFX (multiple instances)
- tripleoscillator
- bitinvader
- organic

🎚️ LADSPA Effects:
- autowah
- Eq, Eq2x2, Eq10X2
- invada_hp_stereo_filter_module_0_1
- PingPongPan
- Plate2x2
- VintageDelay

All created and mixed natively on Linux with open-source tools.


Oxygene, Pt. 10 (Jean Michel Jarre Cover)

Hey there! 👋 You’re tuned into AI with Shaily, hosted by Shailendra Kumar, your friendly guide to the latest and coolest AI news from around the world. Today’s spotlight is on an exciting breakthrough that’s perfect for both LEGO fans and AI lovers—introducing LegoGPT! 🧱🤖

LegoGPT is a groundbreaking AI developed by Carnegie Mellon University that can turn simple text prompts into stable LEGO building plans. Imagine telling the AI, “Build me a castle with a turret and moat,” and it responds with a detailed blueprint that’s been tested through physics simulations to make sure it won’t collapse. No more wobbly towers or failed builds! 🏰💪

The magic behind LegoGPT comes from combining a powerful language model from Meta called LLaMA-3.2-1B-Instruct with a massive dataset named StableText2Lego. This dataset includes over 47,000 LEGO models representing nearly 28,000 unique 3D objects, giving the AI a rich understanding of how LEGO bricks fit and work together. 📚🧩

One of the coolest features is its rollback mechanism—a kind of safety net that lets the AI “rewind” and try again if it detects instability in the design. Thanks to this clever trick, the success rate of creating stable LEGO structures skyrocketed from just 24% to an astonishing 99%! It’s like having a perfectionist builder who won’t stop until everything is rock solid. 🔄✅

As a LEGO enthusiast myself, I know the joy and frustration of building and rebuilding sets. So, an AI that nails it nearly 99% of the time? That’s seriously impressive! It opens up exciting possibilities not just for play, but also for education, prototyping, and creative design in the future. 🎓🚀

Even better, LegoGPT is open-source and available on GitHub, inviting developers and hobbyists to explore, experiment, and push the limits of what’s possible. There’s also buzz about expanding its capabilities to create LEGO plans from images—imagine turning your favorite photos into custom LEGO masterpieces! 📸➡️🧱 How awesome is that for personalizing your space?

Here’s a quick tip if you want to try LegoGPT or similar AI tools: start with simple prompts and gradually add complexity. This approach helps the AI produce cleaner, more stable designs and saves you from a lot of trial-and-error. 📝✨

To close, I’ll share a wise quote from Alan Kay: “The best way to predict the future is to invent it.” LegoGPT perfectly embodies this spirit, using AI to invent the future of creative building. 🛠️🌟

Don’t forget to follow me on YouTube, Twitter, LinkedIn, and Medium for more awesome AI updates. Subscribe to AI with Shaily, and if you have ideas or experiences with AI and creative tools like LegoGPT, drop a comment—I love hearing your thoughts! 💬❤️

Until next time, keep building your AI knowledge one brick at a time! 🧱🤓

LegoGPT: The AI Revolution Building Stable LEGO Creations from Text Prompts

Tamraght ist eine kleine Stadt für Surfer an der marokkanischen Küste. Ich hoffe, dass dieses Musikstück die entspannte und lockere Atmosphäre widerspiegelt, die ich dort erlebt habe. Es ist mein erster Versuch, elektronische Musik zu produzieren.

Ich habe diesen Track ausschließlich mit freien und quelloffenen Werkzeugen wie Ardour, Geonkick, Odin2, LSP-Plugins oder den CALF und x42 Plugins erstellt.

Dieser Track wird unter der CC BY 4.0 Lizenz zur Verfügung gestellt.

Tamraght

Welcome to AI with Shaily! 👋 I’m Shailendra Kumar, your friendly guide through the ever-evolving world of artificial intelligence. Today, we’re exploring a hot and timely topic that’s buzzing across developer forums, social media, and AI communities worldwide — Microsoft’s decision to retire the Bing Search API and what this means for the future of generative AI search innovation. 🔍🤖

Imagine you’re building a smart AI assistant, your personal helper that fetches information from the web in real time. Until now, many developers relied on Bing’s Search API to get raw search results — links, snippets, and detailed data — giving them the power to create highly customized, data-accurate responses. But Microsoft is changing the game by retiring this API and encouraging users to switch to Azure AI Agents, which use “Grounding with Bing Search.” Instead of raw data, these agents provide AI-generated summaries that are integrated with real-time web information. This means cleaner, more concise answers, but less access to the granular details behind the scenes. ⚙️✨

This change has sparked lively debates online. Is this a bold step forward, allowing AI to present smarter and more user-friendly summaries? Or is it a setback, limiting access to detailed data and locking innovation inside Microsoft’s ecosystem? I personally recall working on projects that needed precise search data for analytics — losing raw access felt like losing the sharpest tool in my toolbox. Yet, on the flip side, AI-curated insights can save time and reduce information overload for many users. ⏳🛠️

Developers are getting creative in response. There’s a growing buzz about building DIY search engines and leveraging open-source indexes to avoid vendor lock-in. Tutorials and code snippets are flying across Twitter and GitHub as innovators strive to keep search transparent and customizable. Meanwhile, entrepreneurs on LinkedIn are debating how this shift impacts startups that rely on Bing’s data feed. 💡🚀

Quality and trust are front and center in this discussion. When AI summarizes the web, how do we prevent bias from creeping in unnoticed? How can we verify the sources behind those neat, AI-generated paragraphs? These critical questions dominate conversations on X (formerly Twitter) and LinkedIn, fueling vibrant and thoughtful debates. ⚖️🔍

Here’s a bonus tip for AI developers and enthusiasts: if you’re building generative AI applications that depend on search data, consider blending multiple sources. Combining AI summaries with selective raw data or trusted APIs can strike a balance between convenience, transparency, and control. This hybrid approach might just be the best of both worlds! 🧩🤝

So, what do you think? Is Microsoft’s new approach pushing AI search innovation into exciting, uncharted territory — or is it clipping the wings of open, granular data exploration? 🤔🌐

As the legendary AI pioneer Alan Turing once said, “We can only see a short distance ahead, but we can see plenty there that needs to be done.” That vision inspires us to keep pushing forward, questioning, and innovating. 💭🚀

Don’t forget to follow me, Shailendra Kumar, on YouTube, Twitter, LinkedIn, and Medium for more insights into the AI universe. If you enjoyed this episode, hit subscribe and share your thoughts below — let’s keep this conversation alive. After all, AI isn’t just technology; it’s our shared journey into the future. 🌟🤖

Thanks for tuning in to AI with Shaily — until next time, keep experimenting and stay curious! 🔬✨

Microsoft Retires Bing Search API: Revolution or Restriction for AI Search Innovation?

https://www.youtube.com/watch?v=toBDlHUd_wc&list=PLNP4Nm89WfbWQbQFEAMZsiSVyH9AylCN9&index=16
s/o 2_my A$sociaTes

Trial & Error: Death of Playlist - Single

Trial & Error: Death of Playlist

Software supply chain veteran Brian Fox unpacks the security implications of the new EU Cyber Resilience Act and its profound impact on open-source projects. He reveals the hidden infrastructure risks threatening open-source projects and shares insights for senior software leaders navigating this regulatory landscape.

Read a transcript of this interview: http://bit.ly/46nxjUM

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Transcript

The Hidden Vulnerability of The Open Source Software Supply Chain: The Underlying Infrastructure

I Use Arch BTW

Gabriele Columbro, managing director of the Linux Foundation Europe, discusses the differences in the open-source landscape between Europe, China and the US. Stressing that the open-source landscape is the last favorable ground for global innovation in the current geo-political landscape.

Read a transcript of this interview: https://bit.ly/4rFIhPu

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Learn how real teams are accelerating the entire software lifecycle with AI.
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The InfoQ Podcasts: 
Weekly inspiration to drive innovation and build great teams from senior software leaders. Listen to all our podcasts and read interview transcripts:

- The InfoQ Podcast https://www.infoq.com/podcasts/ 
- Engineering Culture Podcast by InfoQ https://www.infoq.com/podcasts/#engineering_culture 
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Bridging the Open Source Gap: From Funding Paradoxes to Digital Sovereignty

AUVEX – Life in sound, shaped by dreams and AI

I make music as a hobby, inspired by real-life experiences, adventures, and dreams. It’s my way of turning emotions into melodies and stories into sound. With AI as a creative partner, I explore a wide range of styles – from drum and bass and chill, to house, hip hop, and experimental vibes.

I know AI in music isn’t for everyone, but for me, it’s about having fun and pushing creative boundaries. AUVEX is where I share pieces of my life, shaped into sound – a mix of heart, tech, and imagination.

Contact: auvex@noermedia.no

Unlock the secrets of data mastery with Shailendra, a 27-year veteran in AI, ML, and Data Science, driving AU$ 6 Billion in transformative value. As the author of 'Making Money out of Data,' their strategies redefine digital success. With expertise honed at IBM and Accenture, they drive innovation and data monetization. Explore how loyalty programs like Flybuys and Everyday Rewards revolutionize business—connect with Shaily today.

𝐰𝐎𝐫𝐋𝐝 𝐂𝐥𝐀𝐬$ 𝙥𝙃𝙞𝙇𝙖𝙉𝙩𝙍𝙤𝙋𝙞$𝙩

Meinen Kram könnt ihr kostenlos bei https://simonschaefer.unwo.space runterladen :) 
Oder auch bei https://simonschaefer.bandcamp.com :)

Software engineers, architects and team leads have found inspiration to drive change and innovation in their team by listening to the weekly InfoQ Podcast. They have received essential information that helped them validate their software development map. We have achieved that by interviewing some of the top CTOs, engineers and technology directors from companies like Uber, Netflix and more. Over 1,200,000 downloads in the last 3 years.

New tracks tagged #open-source