Also, will it be trained on the code base it sees? Most companies would be opposed to sharing their IP.
Edit: according to the website, the model won't be trained with your data.
They are either past retirement or about to retire in the coming years.
Maybe it gives us good tests ?
That alone for something on cobol might be worthwhile
It saddens me when companies abandon them, it takes so much effort to replicate their power. I often wonder why mainframes never had a more modern easier to maintain and manage programming language designed for them.
Although COBOL is one of the primary programming languages for the mainframe, it can also run Java and Python as the others have mentioned. COBOL itself isn't particularly difficult to grasp for modern engineers, it's readable and has an easy to understand English-like syntax.
The challenge here is learning and becoming proficient in the end to end mainframe ecosystem including the intricacies of z/OS. It's a completely closed off ecosystem and is not as accessible to play around with for the average SWE as compared to windows or linux based development.
https://www.hypercubic.ai/company
Please consider adding more background of the executive and heads of department on the about page to help us understand who these top researchers, engineers, and strategists are.
There are currently no names on the about page, not even the co-founders, however this claim that "our team unites top researchers, engineers, and strategists from pioneering companies and institutions" appears on multiple pages on the website.
It seems:
* Sai was an Apple machine learning engineer for 19 months, then a Apple lead machine learning engineer for 17 months.
* Aayush was an Apple software engineer for 3 years, then an Apple senior software engineer for 8 months at Apple.
Btw, this is Aayush and I was at Apple for almost four years and Sai was there for three. And we have Kevin as our founding engineer who has almost a decade of experience and has worked at Cognition and Windsurf.
Kevin was at Cognition as a software engineer for 9 months and Windsurf as a design engineer for 7 months.
Including company logos on the Hypercubic website because team members worked there for less then a year doesn't convey the endorsement of these companies I'd expect when I see their logo being used.
That gives off a bad signal to someone visiting your site.
Everyone's faking it till they make it but at the same time using a logo like that, which universally implies that you have some kind of relationship with that company or they are using your product, is not even faking it.
And that's ignoring the legal challenges you are up for if that company spots you doing it.
BTW this sounds like a genius offering
Had the logos been on their frontpage with no explanation, the implication would be that these companies are customers, but there's no such implication here.
(Btw, I appreciate that you're saying this from a place of actually liking the product, or at least the idea, - I think it's often true that criticisms are coming from a place of wanting to like something, but commenters usually don't make this bit explicit and then the criticism just sounds like harshness for its own sake.)
I'll admit it's not clear cut - but I feel it deliberately pushes the boundaries, as marketing often does.
But as far as the idea goes, it sounds like a fantastic direction. That should have been my primary message.
See https://news.ycombinator.com/newsguidelines.html#generated and https://news.ycombinator.com/item?id=47340079.
Instead, write any text that you post to HN by hand. We want to hear you in your own voice: https://hn.algolia.com/?dateRange=all&page=0&prefix=false&qu....
(This is not a ding against LLMs - they're incredible tools and we use them heavily ourselves. Just not to replace human-to-human conversation.)
So the real challenge companies are facing is will there be enough people to safely maintain these systems in the next decade. If they do not, it means failures in credit card systems, airline reservations, insurance claims and more.
The last thing I’d ever put into mission-critical systems is an LLM.
So let’s hope it’s a mainframe sandbox so future COBOL programmers can learn on it. :)
In any case, COBOL systems work precisely because no one is constantly tinkering with them to “add a new framework”.
The last time I saw, someone made a “Hello World” app in Electron, and it was 220 MB.
Howgh.
I've heard from a global bank, they have one mainframe developer in the team who is past 70. She manages a critical credit card service and gets paid in the upper end of 6 figures to work 20 hrs a week. She's the only one who knows that system. Lots of stories like this.
Yawn this tired old yarn, again. Mainframe development was offshored from the US decades ago. These retiring cobol programmers simply don’t exist in numbers that matter. The market could be to the companies doing the offshore work, but they’ve been throwing bodies at this problem for a long time, maybe there’s a market there maybe not.