👁️ Meta Unveils Segment Anything Model 3
SAM 3 exemplifies Meta’s deepening integration of multimodal AI, embedding advanced visual intelligence directly into mainstream social and creative platforms.
Meta’s upcoming SAM 3 enables users to identify, segment, and track objects in images and videos using either text or visual prompts. The model will soon power new creative and editing tools across Instagram and other Meta AI applications.
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⚙️ AI as a Vehicle for Power and Resource Consolidation
A sharp critique of the political economy behind AI—framing it as a mechanism for resource centralization rather than mere technological advancement.
Chris Butler argues that AI’s true purpose lies not in innovation but in the consolidation of financial and infrastructural control. He highlights how massive data center investments and energy demands reveal deeper patterns of centralization, overshadowing genuine technical progress. The essay warns that the real societal risks stem from shifting ownership of physical and political assets rather than automation itself.
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🧠 Cognitive and Mental Health Effects of Short-Form Video Use
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💬 LLMs Are Bullshitters—But Still Incredibly Useful
A nuanced essay balancing critique with pragmatism—acknowledging LLMs’ rhetorical flaws while recognizing their genuine utility for informed users.
Matt Ranger likens large language models to persuasive but unreliable sophists, highlighting their tendency to generate plausible yet inaccurate text. He explores their probabilistic reasoning, the limitations of finetuning, and the subtle risks of emotional manipulation in human-AI interaction. Despite their shortcomings, he argues that when used consciously, LLMs remain powerful and productive tools.
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