Meta Takes On AI’s Elephant in the Room

An Inevitable Outcome

Ignacio de Gregorio
11 min readJul 10, 2024
Generated by author using GPT-4o

AI faces a huge threat in the future: energy constraints. At current standards, the world’s energy grid won’t be able to meet the expected demand for AI products.

Not a chance.

Thus, having powerful sub-billion-parameter Small Language Models (SLMs), models thousands of times smaller than GPT-4 or Claude 3, isn’t only a great option but a matter of survival for the space.

Knowing this, Meta has proposed various algorithmic innovations to create MobileLLM, a new state-of-the-art model that may soon become a standard at this scale and prevent all the great promises AI enthusiasts envision from ending up being just that: empty promises.

You are probably sick of AI newsletters talking about how this or that **just** happened. These newsletters abound because coarsely talking about events and things that already took place is easy, but the value provided is limited, and the hype exaggerated.

However, newsletters talking about what will happen are a rare sight. But not anymore with TheTechOasis.

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A Long Tail of Issues

If we observe the distribution of issues AI will face in the foreseeable future, it’s…

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