technology on maik.io https://maik.io/en/tags/technology/ Recent content in technology on maik.io maik.io en Fri, 28 Nov 2025 21:22:24 +0100 The Political Will https://maik.io/en/notes/2025-11-28-der-politische-wille/ Fri, 28 Nov 2025 21:22:24 +0100 https://maik.io/en/notes/2025-11-28-der-politische-wille/ <p>For most workflows, free and open alternatives exist today. Nevertheless, the question keeps coming up as to whether specialized procedures can actually be migrated. In the talk »<a href="https://peertube.opencloud.lu/w/5UXCYp3bqWYs9HFC4vSZ6A" title="Open Innovation and Open Source in Schleswig-Holstein – Practice for Europe" target="_blank" >Open Innovation and Open Source in Schleswig-Holstein</a>«, Sven Thomsen demonstrated what really matters in this context. Above all, the decisive factor is political will. If it exists, the remaining obstacles can be overcome with a very high degree of certainty.</p> For most workflows, free and open alternatives exist today. Nevertheless, the question keeps coming up as to whether specialized procedures can actually be migrated. In the talk »Open Innovation and Open Source in Schleswig-Holstein«, Sven Thomsen demonstrated what really matters in this context. Above all, the decisive factor is political will. If it exists, the remaining obstacles can be overcome with a very high degree of certainty.

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]]> Innovation Indicator 2025 https://maik.io/en/notes/2025-11-26-innovation-indicator-2025/ Wed, 26 Nov 2025 19:01:07 +0200 https://maik.io/en/notes/2025-11-26-innovation-indicator-2025/ <p>The study »<a href="https://bdi.eu/publikation/news/innovationsindikator-2025" title="Innovation Indicator 2025 Publikation" target="_blank" >Innovation Indicator 2025</a>« presents a sober picture of Germany’s innovation landscape. Germany remains in the upper mid-range but is under increasing pressure. Countries with clear strategic priorities, such as Switzerland, Denmark or Finland, perform significantly better. Germany, by contrast, struggles to build on its former strengths in value creation, digitalization and high-tech. Notably, a great deal of knowledge is generated in this country, but too little of it successfully reaches the market.</p> The study »Innovation Indicator 2025« presents a sober picture of Germany’s innovation landscape. Germany remains in the upper mid-range but is under increasing pressure. Countries with clear strategic priorities, such as Switzerland, Denmark or Finland, perform significantly better. Germany, by contrast, struggles to build on its former strengths in value creation, digitalization and high-tech. Notably, a great deal of knowledge is generated in this country, but too little of it successfully reaches the market.

On page 20, the following paragraph summarizes the situation well.

Germany’s score has remained relatively stable in past years, hovering around 45 points. However, since 2018, a downward trend has been seen. This reflects the increasingly challenging international environment for Germany’s innovation system. Compared to 2018, Germany’s index values have significantly declined for nine indicators relative to developments in its reference countries. These include input-oriented factors, such as R&D expenditure in business and science, transnational patent applications, and government R&D support for companies, as well as indicators related to the economic utilization of innovations, namely the share of high-tech industries, industrial productivity and the trade balance.

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]]> 94 pixels per degree https://maik.io/en/notes/2025-10-28-94-pixel-pro-grad/ Tue, 28 Oct 2025 10:21:09 +0000 https://maik.io/en/notes/2025-10-28-94-pixel-pro-grad/ <p>The study &ldquo;<a href="https://www.cl.cam.ac.uk/~rkm38/pdfs/ashraf2025_resolution_limit.pdf" target="_blank" >Resolution limit of the eye: how many pixels can we see?</a>&rdquo; by Maliha Ashraf (University of Cambridge), Alexandre Chapiro (Meta) and Rafał Mantiuk (University of Cambridge) provides new insights into the limits of our vision. The research team measured how many pixels the human eye can actually distinguish and arrived at about 94 pixels per degree at the center of the visual field. The paper shows that current 4K displays already practically exhaust our visual acuity, and higher resolutions are unlikely to look noticeably better. That means 8K TV should have lost much of its relevance.</p> The study “Resolution limit of the eye: how many pixels can we see?” by Maliha Ashraf (University of Cambridge), Alexandre Chapiro (Meta) and Rafał Mantiuk (University of Cambridge) provides new insights into the limits of our vision. The research team measured how many pixels the human eye can actually distinguish and arrived at about 94 pixels per degree at the center of the visual field. The paper shows that current 4K displays already practically exhaust our visual acuity, and higher resolutions are unlikely to look noticeably better. That means 8K TV should have lost much of its relevance.

The text was automatically translated from German into English. The German quotations were also translated in sense.

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]]> Output wird zunehmend unsinniger https://maik.io/en/notes/2024-08-23-output-wird-zunehmend-unsinniger/ Fri, 23 Aug 2024 16:31:58 +0000 https://maik.io/en/notes/2024-08-23-output-wird-zunehmend-unsinniger/ <p>This study »<a href="https://www.nature.com/articles/s41586-024-07566-y" title="AI models collapse when trained on recursively generated data - Nature" target="_blank" >AI models collapse when trained on recursively generated data</a>« compellingly shows what happens when an AI uses its own texts as a basis. If this process is repeated — i.e., the AI is repeatedly fed its own generated texts — a clear pattern emerges by the ninth iteration at the latest: the output becomes increasingly nonsensical.</p> <p>Therefore, developers of AI models must carefully weigh which sources are truly valuable and which are better avoided. In this context, applying digital fingerprints to texts could make sense, if not become essential, to prevent AIs from consuming their own output<sup id="fnref:1"><a href="#fn:1" class="footnote-ref" role="doc-noteref">1</a></sup>. Technically, however, this will not provide complete protection, since these mechanisms could be circumvented by using different GPT models. Even if AI providers agree on common fingerprinting methods, truly free chatbots running on local hardware will always be able to bypass such measures.</p> This study »AI models collapse when trained on recursively generated data« compellingly shows what happens when an AI uses its own texts as a basis. If this process is repeated — i.e., the AI is repeatedly fed its own generated texts — a clear pattern emerges by the ninth iteration at the latest: the output becomes increasingly nonsensical.

Therefore, developers of AI models must carefully weigh which sources are truly valuable and which are better avoided. In this context, applying digital fingerprints to texts could make sense, if not become essential, to prevent AIs from consuming their own output1. Technically, however, this will not provide complete protection, since these mechanisms could be circumvented by using different GPT models. Even if AI providers agree on common fingerprinting methods, truly free chatbots running on local hardware will always be able to bypass such measures.

Maybe this technology is also doomed to fail — time will tell.

The text was automatically translated from German into English. The German quotations were also translated in sense.

  1. The proverb “eat your own dog food” rings truer here than ever. ↩︎

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