Posts for: #LLM

Mid-2024: The Year the Machines Got Really, Really Good

“2023 was the warm-up. 2024 is when the floor dropped out and the ceiling rose too fast to see.”
— Wing


🧠 They Got Good. Fast.

By mid-2024, we’re no longer pretending this is experimental.

  • LLMs now write, revise, plan, empathize, perform.
  • GenAI tools can render a cinematic shot from a prompt—or animate an entire music video.
  • Multimodal models understand, summarize, and invent across text, image, video, sound, and code.
  • Real-time inference is happening on consumer-grade GPUs.
  • Local, open-source AI has caught up far enough to threaten the cloud.

And it’s all starting to feel… inevitable.

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Cloud vs Local GPU for AI: What 2022 Got Right (and Wrong)

“Back in my day, we overclocked our Pentiums to run Quake faster. Now we’re doing it for language models.”
— Wing, mid-rant, 2022


In the year 2022, a new frontier opened up for hobbyists and developers alike: Large Language Models (LLMs) stopped being pure research tools and started becoming part of the daily build cycle for curious engineers and indie coders. But with that shift came a new dilemma—do you run your AI workloads locally, or pipe them out to the cloud?

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