They have already:

- https://helsing.ai/newsroom/helsing-and-mistral-announce-str... - https://sifted.eu/articles/mistral-helsing-defence-ai-action... - Luxembourg army chose Mistral: https://www.forcesoperations.com/la-pepite-francaise-mistral... - French army: https://www.defense.gouv.fr/actualites/ia-defense-sebastien-...

There are some experiments in using copy-and-patch for the R language (after Python): https://dl.acm.org/doi/10.1145/3759548.3763370

From a master thesis: https://www.itspy.cz/wp-content/uploads/2025/09/it_spy_2025_...

Featuring self-modifying code - it can repatch emitted instruction at runtime based on the current value type.

His bio gives a more detailed description of the startup: "after his PhD, Bharath co-founded Computable a startup that built better tools for collaborative dataset management", which seems to not exist anymore.

But he came back to drug discovery:

"Bharath is currently the founder and CEO of Deep Forest Sciences, which is building an AI-powered suite for drug and materials design and discovery."

OCaml with wasocaml: https://github.com/OCamlPro/wasocaml

About how eval is used in other languages:

- in Javascript: https://link.springer.com/chapter/10.1007/978-3-642-22655-7_...

- in R: https://dl.acm.org/doi/abs/10.1145/3485502

I mostly eat 90% and now find 85% too sweet (but 100% too bitter). I think our taste just adapts to the level of sweetness after some time.

I used to drink coffee with sugar, until I purposefully cut it out, and now I can't stand sugar in my coffee.

I can't believe I used to drink those glass bottle starbucks coffee drinks at one point.

> I can't believe I used to drink those glass bottle starbucks coffee drinks at one point.

They're unbearable -- like drinking a milkshake. It's so frustrating that convenience stores in the US rarely stock black cold coffee in cans or bottles.

Another recent (2020) work on types for R: "Designing types for R, empirically" https://dl.acm.org/doi/abs/10.1145/3428249

Accessing the code part and modifying during execution is actually rather easy in R. Functions such as substitute or quote are commonly used and a language expression in R is a list that you can edit and evaluate back.

The internals itself in R actually sound quite lispy: both values and codes are SEXP (S-expressions).

R is inspired by Scheme and Common Lisp; it has first-class functions, multiple dispatch.

https://www.stat.auckland.ac.nz/~ihaka/downloads/Interface98...

"This decision, more than anything else, has driven the direction that R development has taken. As noted above, there are quite strong similarities between Scheme and S, and the adoption of the S syntax for our interpreter produced something which “felt” remarkably close to S."

Interesting. So it could be said that R is kind of a bastard child by Lisp & APL?

Are you referring to CIFRE-funded PhD thesis?

I don't remember the specifics, I had a presentation on PhDs during my license that mention this system, and CIFRE-funded PhD thesis seem to fit it, but I don't know if it's the only mechanism that exists.

They asked Ifop, a polling institute, to do a survey. The survey used a representative sample of 28 000 French people (in French, https://www.lefigaro.fr/actualite-france/les-cinq-chiffres-c... )