Functional logic languages allow expressions to produce zero, one, or multiple values, addressing limitations in traditional programming languages that typically only produce a single value.

Coding agents are exciting because they are verifiable. You can write tests for code, and the tests will indicate whether the code is functioning correctly, which is not possible in many other fields.

Verse is a functional logic programming language designed for large-scale simulation programming, allowing for the creation of components that can be used by millions of programmers.

I envision a future where programming will involve defining logic in a more human-readable format, moving away from traditional coding languages.

My thesis focused on using logic programming and Prolog-type languages to speed up query answering by maintaining a record of relationships between established facts and theorems.

AI models can perform basic mathematical operations and demonstrate reasoning through their circuits, but they can also fake complex calculations.

The early programming language designers established key concepts like how functions, variables, and recursion should work, which are still relevant today.

I find that using asserts in programming helps catch potential issues early, preventing them from becoming real bugs later on.

Mapping natural language to formal programming languages is extremely difficult, as formal languages require precise syntax, while natural language is more fault-tolerant.