I found Maik’s post very insightful. Hence I reshare. Very optimistic that we can deal with this bias. As Maik mentions, there are concepts and tools in place to mitigate this.

One aspect I want to highlight: While hiring is a very significant example, it is just one example of many in a world of AI agents conversing towards a business goal. So awareness and implementation of mechanism to mitigate this bias is key.

𝗜𝘀 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗝𝘂𝘀𝘁 𝗖𝗼𝗺𝗽𝗿𝗲𝘀𝘀𝗶𝗼𝗻? 𝗔𝗻𝗱 𝗪𝗵𝗮𝘁 𝗔𝗯𝗼𝘂𝘁 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲?

I was listening to Machine Learning Street Talk (MLST) “The Real Reason Huge AI Models Actually Work” [1]. Many interesting take-aways, a lot to still be digested by me. But really this stuck to my mind.

In AI research, a fascinating concept has emerged: “𝗖𝗼𝗺𝗽𝗿𝗲𝘀𝘀𝗶𝗼𝗻 𝗶𝘀 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲.” The idea is that intelligence can be measured by how well a system compresses information—finding patterns and structures to represent data in fewer bits. This ability to simplify and predict effectively showcases understanding and problem-solving skills.

💯 Tech for Good: AWS and The Ocean Cleanup Unite to Remove Plastic from Our Oceans

🇳🇱 Just returning from the Netherlands, I’m very happy to read about a fruitful cooperation between a local NGO and AWS:

🤝 AWS is partnering with The Ocean Cleanup to help remove plastic from the oceans more rapidly using artificial intelligence and cloud computing. By providing machine learning and real-time data processing tools, AWS enables The Ocean Cleanup to better predict and track plastic accumulation patterns—making plastic removal efforts more efficient and effective. This collaboration demonstrates how advanced AWS technology can be used to address major environmental challenges beyond just business needs.

This is absolutely brilliant. Go, build your own assistant with Amazon Nova Sonic in less than 24h!

I love the use case and the presentation in the video, which Tomasz Stachlewski ☁ shared in his post: https://lnkd.in/eabWBQea

What maybe triggers me the most, are those 24h build time (which hopefully also involve some good hours of sleep 😃 ) .

This is a 𝗽𝗮𝗿𝗮𝗱𝗶𝗴𝗺 𝘀𝗵𝗶𝗳𝘁 from

“𝗵𝗮𝘃𝗶𝗻𝗴 𝗮 𝗴𝗿𝗲𝗮𝘁 𝗶𝗱𝗲𝗮, 𝗯𝘂𝘁 𝗶𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝗿𝗲𝗾𝘂𝗶𝗿𝗲𝘀 𝗮 𝗰𝗼𝗺𝗽𝗹𝗲𝘅, 𝗲𝘅𝗽𝗲𝗻𝘀𝗶𝘃𝗲 𝗮𝗻𝗱 𝗹𝗼𝗻𝗴 𝗹𝗮𝘀𝘁𝗶𝗻𝗴 𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗽𝗿𝗼𝗷𝗲𝗰𝘁”

This is absolutely brilliant. Go, build your own assistant with Amazon Nova Sonic!

I love the use case and the presentation in the video.

What maybe triggers me the most, are those 24h build time (which hopefully also involve some good hours of sleep 😃 ) .

This is a 𝗽𝗮𝗿𝗮𝗱𝗶𝗴𝗺 𝘀𝗵𝗶𝗳𝘁 from

“𝗵𝗮𝘃𝗶𝗻𝗴 𝗮 𝗴𝗿𝗲𝗮𝘁 𝗶𝗱𝗲𝗮, 𝗯𝘂𝘁 𝗶𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝗿𝗲𝗾𝘂𝗶𝗿𝗲𝘀 𝗮 𝗰𝗼𝗺𝗽𝗹𝗲𝘅, 𝗲𝘅𝗽𝗲𝗻𝘀𝗶𝘃𝗲 𝗮𝗻𝗱 𝗹𝗼𝗻𝗴 𝗹𝗮𝘀𝘁𝗶𝗻𝗴 𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗽𝗿𝗼𝗷𝗲𝗰𝘁”

towards

“𝗵𝗮𝘃𝗶𝗻𝗴 𝗮 𝗯𝗿𝗶𝗹𝗹𝗶𝗮𝗻𝘁 𝗶𝗱𝗲𝗮, 𝗮𝗻𝗱 𝗲𝗮𝘀𝘆, 𝗶𝗻𝗲𝘅𝗽𝗲𝗻𝘀𝗶𝘃𝗲 𝗮𝗻𝗱 𝗾𝘂𝗶𝗰𝗸 𝘁𝘂𝗿𝗻 𝗮𝗿𝗼𝘂𝗻𝗱.”

Just uncovered this hidden gem created by Ewa A. Treitz and her AI team.

Awesome example for the ongoing democratisation of software production in the advent of powerful AI tools.

And - the product itself is a beautiful and super helpful tool to navigate the overload of super interesting sessions at #reinvent 2025.

Checkt it out and let me know your favourite sessions we can’t miss!

#AWSomeVoices #reinvent #aws #kiro

🔥 CONTROVERSIAL TAKE: Data Scientists are becoming extinct. GenAI killed them.

Just 3 years ago, data scientists were the unicorns of tech. Companies fought over them, projects crawled at snail pace, and most ML models never saw production.

The reality was brutal:  • Custom models took months to build  • Jupyter notebooks couldn’t scale to production  • Engineering teams had to rebuild everything from scratch to hit production

Then GenAI changed everything.

Absolutely looking forward to it. I can promise you that we will explore some exciting new AI things in my session.

As Max outline in his post below - there are just a few seats open. Would be happy to meet you there …