Ask HN: What upcoming technologies do you find most promising and intriguing?

The author discusses the potential of Large Language Models (LLMs) and deep learning, emphasizing the power of the abstractions they can create. They also express amazement at the ability to run trained models on personal devices and hope to eventually run an LLM on a smartphone. The author also reminisces about the 1980s era of software security and advocates for the implementation of Capability Based Security in operating systems.

The author further discusses their interest in MIMO Software Defined Radio, NanoVNA, and a new theory of physics called Quantized Inertia. They also mention BitGrid, their concept of a simple Petaflop performance CPU, and imagine running GPT-4 across thousands of these CPUs. The author concludes by expressing their desire for advancements towards making the human species interstellar.

Key takeaways:

The author believes that the power of Large Language Models (LLMs) and deep learning is underestimated, and that they could potentially outperform human capabilities in certain areas.
Capability Based Security is seen as a necessary development for operating systems to return to a time when users could freely try out new programs without concern.
The author is excited about the potential of MIMO Software Defined Radio and NanoVNA for detecting all objects in the sky and understanding RF design, respectively.
The author is also interested in the development of Quantized Inertia, a new theory of physics, and BitGrid, a concept for a simple Petaflop performance CPU.

Ask HN: What upcoming technologies do you find most promising and intriguing?

Key takeaways:

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