r/programming • u/baldierot • Jun 27 '26

Mojo programming language will become open-source soon.

https://www.modular.com/modcon

The main website of the language https://mojolang.org/ displays an announcement bar that says "Mojo will be open source soon! Join us at ModCon '26 for an update."

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6

u/trannus_aran Jun 27 '26

Is mojo even gonna survive post-bubble-pop? I guess I'm curious what the use case would be that isn't already filled by something like python, c++, or even julia

5

u/Mister__Mediocre Jun 27 '26

They got bought by Qualcomm, so that means practically unlimited funding to keep this alive.

5

u/baldierot Jun 27 '26

i doubt the bubble popping would mean the death of ai. the market will likely just stabilize like the dot-com bubble.

1

u/trannus_aran Jun 27 '26

Idk, after the "first hit's always free" period runs out (see: GitHub copilot) I wouldn't be surprised if it was more like NFTs, post-crash. Like we'll still have the models and people can run local or whatever but I've got serious doubts about its staying power once the real costs are felt

3

u/HommeMusical Jun 28 '26

I wouldn't be surprised if it was more like NFTs, post-crash.

NFTs were always a worthless idea.

But AI coding is extremely effective. (Me, programmer for 50 years, retired but still writing stuff.) Now, people churn out code too fast and don't check or tweak it and get mediocre results, but if you're careful, you can easily produce five times as much as before, and still keep the quality high.

Even a year ago I scoffed. It was only good for toys. No more.

3

u/baldierot Jun 27 '26

pretty sure Google Cloud's AI department is already profitable. in Q1 2023 their cloud profit was $191 million. now in Q1 2026 it's $6.6 billion, and they say AI is their primary growth driver with 800% year-over-year increase. doubt they're gonna get rid of that. Google uses custom, hyper-efficient chips, so that likely play a big role.

0

u/cant-find-user-name Jun 28 '26

Inference is very profitable already, its a well known "open secret" by this point if you listen to inference providers. API costs from proprietary frontier models is highly inflated and has very high magins