Posts
Browse all articles covering artificial intelligence, AGI development, machine learning, and technology insights with practical perspectives.
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Synthetic data: from model collapse to epistemic risk
Published: at 10:47 PMModel collapse during training is documented. But when synthetic data is also used to test and validate a thesis, another risk emerges: AI research may become trapped inside its own assumptions.
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AI: will we even have time to invent our own methods?
Published: at 09:00 AMAI platforms are arriving before companies have had time to understand their own needs. How can we preserve our ability to choose our methods rather than simply inherit them?
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AI is not just about going faster
Published: at 08:30 PMReducing AI to a speed gain means applying the metrics of the old world to a tool that mostly shifts our ambition, our standards, and our capacity to explore.
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Coding with AI: attention is what breaks first
Published: at 07:45 PMVibe coding, plan mode, and autonomous agents do not call on developer attention at the same moment. The real issue is not the tool, but how human judgment is distributed without exhausting the team.
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