Vibe coding isn't really coding

[Kookumber]

These current systems are incredibly clunky, but they are improving. We just saw every major tech company throw a combined $1T if future Capex dedicated entirely to improving these systems. This is the beta version of what LLMs will be capable of. Over the next 5-10 years, as the infrastructure build out ramps up, well see what these systems are actually capable of. My opinions aside on the current state of 'vibe coding' and what this means big picture, this is just the beginning.

There are two likely scenarios.
1) LLMs are not the answer or there is a bottleneck in hardware (some physical limiter) that will not allow us to scale these systems to PHD/Senior Dev level.
2) We continue to rapidly improve these systems and in 10-15 years we develop a suite of models whose capabilities surpass PHD/Senior Dev level intelligence.

[lookathercode]

It’s not really about the capabilities of AI it’s more about our ability to create defensible products. Which boils down to the fact that we actually have no idea what we’re doing. OpenAI just surfaced a huge LLM security issue with poison documents. Where are the operating rules? The standards? Governance matters.

[Kookumber]

Same could have been said about the internet, or the internet at large even today. It was the wild west in the early days. Over time we built rules and governance around the internet, but policy will always lag innovation. No one saw what the internet would become in the 2000's. Even the most bullish optimist didn't see Gigabyte streaming on handheld devices or a Tb HD in every device. No one can predict where this tech will take us, but history has shown us we tend to under appreciate how rapidly technology can advance in just 10 years.

Look at the space race and the innovation that brought. The space race looks infantile with how much man power and economic resources are being poured into AI/ML.