I don't think any new languages will easily beat the existing ones, simply because of the mass of training data that is available. An LLM will have a much easier time one-shotting Java than even Rust today because it doesn't have to look up much and the ecosystem was stable for many years, so the internet is filled with content that is still up2date. Building a new language (or even altering existing ones) will take much longer to get into the models.
LLMs that have to constantly fix their code and look up libraries or features are much slower, more expensive and more prone to create inefficient and slightly wrong code. Sure, an LLM can just create a new web framework from scratch, but you usually don't want to spend your tokens on that.
I also think that with LLMs, new languages will have more trouble building an ecosystem, because until now, the popular libraries had a "proof of work" that kinda also made sure that they were well-trodden and maintained. Now, anyone can just push their new generated library and we have no clue on how to compare (and tbh reading LLM-generated READMEs is also not pleasant).
"LLMs dont create anything new, if programmers stop reading the code technology will be forever frozen to 2022, no new programming languages, operating systems, concurrency primitives, databases, networking protocols, UI frameworks everything will be based on the training data and future generations will forget about all the primitives we now take for granted.
If someone creates a new programming language/ framework or new better way to do async or whatever, no one will use it because it is not in the training data and it wont take off because everyone is using LLMs. It will be like using the same Lego pieces over and over."
The frontier models are exceptionally good at one shoting rust. I find them to be even better at writing rust than python (and the dataset for python must surely be bigger). I think there might be a threshold of enough data for a programming language to make it useful for an agente
LLMs that have to constantly fix their code and look up libraries or features are much slower, more expensive and more prone to create inefficient and slightly wrong code. Sure, an LLM can just create a new web framework from scratch, but you usually don't want to spend your tokens on that.
I also think that with LLMs, new languages will have more trouble building an ecosystem, because until now, the popular libraries had a "proof of work" that kinda also made sure that they were well-trodden and maintained. Now, anyone can just push their new generated library and we have no clue on how to compare (and tbh reading LLM-generated READMEs is also not pleasant).