Hello Koen and everyone. Itâs really nice to see people getting more and more interested in AI, especially for Pharo. But I think you are wrong about ChatPharo. I understand very clearly your point that the AI for and in Pharo is in his realy stagses. But Iâm working very hard to make it more usable for more and more people ( people are also scared of using AI in Pharo because they had bad experiences with ChatGPT when it was launched in 2022). It wasnât created to do code generation tasks. That said. I wanted to clarify some points about ChatPharo: - ChatPharo is not a toy. It has a big engineering part inside of it (Multiple people, including PhDs, and engineers, contribute to it). Indeed, Iâm not doing a lot of publicity because i also doing my PhD at the same time. - From an AI engineer's POV, the dependencies on the company that provides models accessible from the web are not very convenient. I agreed that Claude is the best model for code generation (and it appears everything else but you are limited to the company API and the backend. FYI: the newest Claude and OpenAI models have more than 1T parameters.) But let me ask you a question, what if tmrw claude changes its policies now after their deal with SpaceX? (They will expect more and more people that subscirbe to their 20 euros, right? ) Well, in that case, any CEO in his right mind will increase the price ( it will be one million cause of that, of course, why do they do that, whatever they tell, the people will buy it because now they canât live without it). Thatâs why itâs not very convenient ( this is what i think). - Ollama ( that were considered one of the best companies that provided the models for free (local and on the cloud). Now you should pay for the model inference on the cloud ( it was free ), because they saw that more people are getting interested in the model that runs on the cloud ( and itâs free), they now prohibit you from using it unless you pay 20 euros. - Why do you think that the model that appears now is getting better? Itâs not training or something else. There's nothing left in the whole internet to train on anyway. They now want real data ( you might see in most of the newest technical papers the sentence high quality token. You might ask yourself a question about where this data appears if there is nothing left on the internet to train? Now, make no mistakes, Iâm not telling you NOT to use AI for Pharo. I and (we) are and (wonât) be able to concure with the companies that have models that have > 1T of parameters. (We don't have the budget, nor the resources for that). Iâm just trying to justify that chatpharo for now is not (and wonât) be capable of competing with the models from the biggest company. Ofc everyone is free. But I wanted to just shed light on a few points that more and more people ask questions about. Have a good weekend! â OA https://github.com/pharo-llm
Le 7 mai 2026 à 22:01, Koen De Hondt <koen@all-objects-all-the-time.st> a écrit :
Dear Pharo users and developers,
I posted a first article in a series about using AI in Pharo development. After seeing the world embrace agentic development tools, I decided it was time to look into them and see how they can be used for software development in Pharo.
https://all-objects-all-the-time.st/#/blog/posts/24
As always, all feedback is welcome.
Happy reading!
Ciao, Koen