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Memory Wars: The Hidden Cost of Intelligence
Dive into the hidden battle that’s shaping the future of AI: Memory Wars — the VRAM limits, activation bloat, optimizer overhead and environmental cost behind training large language models. In this explainer for tech enthusiasts and AI learners, we unpack why memory — not compute — is the true bottleneck for LLMs, how quadratic scaling ruins long-context models, and which memory-efficient tricks (quantization, sparsity, new optimizers) could change the game.
Like and share if this helped you understand the stakes of AI memory, access and sustainability.
#MemoryWars #AI #LLM #VRAM #AIEthics #ModelScaling #Sustainability
OUTLINE:
00:00:00 SECTION S001: Cold Open & Title
00:00:24 SECTION S002: I. The Anatomy of AI Memory
00:01:18 SECTION S003: II. The VRAM Bottleneck
00:01:49 III. Quadratic Scaling
00:02:12 IV. Environmental Toll
00:02:49 V. Toward Memory-Efficient AI
00:03:16 VI. The Cinematic Lens
00:03:39 VII. Why It Impacts Our Lives
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