LLMs generate Java better because of so much more enterprise quality training source code and ingested coding textbooks.

The future is not human programming.

My experience is that LLMs generate better code if all data types are JSON compatible.

Evidently US Boomers are fortunate that ultra processed food was less common when they grew up.

For example, I recall drinking lots of skim milk and eating cooked vegetables at most dinners. My grandfather was a route-salesman for Gerber Baby Food and gave us cases of every variety back in the 1950s.

So sorry for Millennials and Gen Z for the mess we left you with the the scientific and effective marketing of tasty, convenient ultra-processed foods.

Easily refuted by the evidence of Anthropic's Claude Code in enterprises for the purpose of automating programming development activities.

Perhaps 10000x cheaper to perform tasks that the AI and humans can both competently perform.

A US stock market blow off top is consistent with both the NASDAQ weekly chart pattern and the current dismal macroeconomic environment, e.g. layoffs.

The major innovation appears to be an efficient hardware implementation of diffusion generative AI.

Certainly not CUDA compatible.

Diffusion for code generation is way faster than transformer based methods but currently not preferred due to better problem solving ability of transformers.

Essentially: "if the AI bubble is a bubble, it’s more likely an infrastructure bubble."

Yep, Nvidia 2025 = Cisco Systems 1999.

AI tech itself is not a bubble, it will endure and achieve greatness.

But CSCO stock fell 90% from dot-com peak to crash bottom, and one can reasonably expect according to facts presented in this excellent article that NVDA stock price to likewise crash - whenever the last margin buyer is exhausted.

Very welcome for my work which is automatically generating Java code with JSON-compatible data types.

Codex CLI with the GPT-5-codex model is the current leader over Claude Code and Sonnet 4.5 in the current Java-oriented benchmarks.

The JetBrains contributed benchmarking harness will be soon available in a form that developers can use on their own.

Karl Marx would agree.

One hopes that democracy will fairly allocate the abundance provided by the certain automation of Capital itself.

I am a former physics student of C. N. Yang’s at Stony Brook University.

Rest In Peace.

As an undergraduate in physics in the late 60's, he was just a name on a door. Never saw him.