There is something subtle here that stands out; the overall tone feels relaxed, leaving a good impression (bEaToRgAnIc).

I've been deeply immersed in AI's role in our daily lives, exploring several interconnected themes. My recent focus has been on Generative Engine Optimization (GEO) and the environmental impact of AI systems, particularly their carbon footprint. I've been researching methods to evaluate and select AI tools based on their environmental performance metrics, with a special emphasis on developing KPIs for measuring AI-related carbon emissions. Additionally, I've been investigating how to analyze the broader corporate social responsibility (RSE) implications of AI implementation, while also exploring DeepSeek's fine-tuning capabilities for custom AI model development using Python.

The big dive : The 'Green' AI Myth: Carbon Costs of ML Models & Insights on GEO and DeepSeek Fine-tuning

A personal reflection on managing AI implementation projects, the challenges of maintaining strategic focus, and the practical realities of working with generative AI in a corporate environment.


AI as a Product: Losing and Finding the North Star

The post material offers a multifaceted critique of the current landscape of artificial intelligence, primarily focusing on the relationship between technological progress and the erosion of user autonomy. The author contends that while AI is presented as an optimization tool for productivity, its adoption necessitates the sacrifice of privacy and critical thinking, leading to a shared sense of powerlessness. This loss of control is illustrated through a discussion of new browsers like Atlas and Comet, which promote "voluntary servitude" and signal the impending shift from traditional SEO to Generative Engine Optimization (GEO). Furthermore, the text examines how organizational pathologies often cause digital transformations to fail, juxtaposing these systemic problems with a technical explanation of how to construct a semantic layer for ensuring consistent data definitions. Ultimately, the reflection warns that AI functions as a mirror to our fears and habits, risking the complete surrender of personal agency if users do not actively reclaim control. You can read the post at AI, Agentic Browsers and the End of Digital Autonomy https://wp.me/p3Vuhl-3p9

AI, Agentic Browsers and the End of Digital Autonomy

This podcast reflects on the **critical intersection of artificial intelligence, digital sovereignty, and linguistic diversity**, specifically focusing on how global technology often neglects non-Western languages. I explore the paradox of advocating for **responsible AI** while being dependent on major foreign models, emphasizing the importance of **cultural independence** through local model training. Practical technical projects are detailed, including **Whisper transcription experiments** for African languages like Wolof and Swahili, as well as the development of **WordPress plugins** for semantic clustering. The narrative highlights the phenomenon of **code-switching** in multilingual societies and the necessity of tailoring AI to recognize these complex speech patterns. Ultimately, the collection serves as both a **technical roadmap** and a philosophical argument for using AI to preserve **linguistic identity** and take control of one's digital destiny.
Full writeup: https://wp.me/p3Vuhl-3q4
Code: https://lnkd.in/eRPm634m

AI-Augmented Journalism: Practical Implementation of Semantic Clustering, Multilingual issue

Bruno Flaven has been a Project Manager in a wide variety of Internet (Mobile, Website) for 20 years now. Since 2023, Bruno Flaven is working mainly on AI.

AI-Augmented Journalism: Practical Implementation of Semantic Clustering, Multilingual issue

Bruno Flaven

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