Built by leading minds behind the world's most advanced AI and technology - Our team unites top researchers, engineers, and strategists from pioneering companies and institutions [...]
It would be good to understand more background of the executive and heads of department on the about page to help understand who these top researchers, engineers, and strategists are. There are currently no names on the about page, not even the co-founders are listed there.
It seems:
* Sai was a lead machine learning engineer at Apple for 17 months
* Aayush was a senior software engineer at Apple for 8 months.
What was the training data? While there are open source projects for mainframes, most high-quality and battle-tested COBOL code bases are likely proprietary.
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.
The problem here is that people who understand these systems are all retiring. Majority of the devs are over 60 and there's simply not enough new talent coming in to replace them.
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.
That’s what we’ve seen with our customers. Some have only one or two COBOL developers left in some teams, and they are often the only people with the operational knowledge needed to keep these systems running.
They are either past retirement or about to retire in the coming years.
Built by leading minds behind the world's most advanced AI and technology - Our team unites top researchers, engineers, and strategists from pioneering companies and institutions [...]
https://www.hypercubic.ai/company
It would be good to understand more background of the executive and heads of department on the about page to help understand who these top researchers, engineers, and strategists are. There are currently no names on the about page, not even the co-founders are listed there.
It seems:
* Sai was a lead machine learning engineer at Apple for 17 months
* Aayush was a senior software engineer at Apple for 8 months.
What was the training data? While there are open source projects for mainframes, most high-quality and battle-tested COBOL code bases are likely proprietary.
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.
If it ain't broke, don't fix it. So letting an LLM loose on a mainframe is like letting a fox into a henhouse. :)
The problem here is that people who understand these systems are all retiring. Majority of the devs are over 60 and there's simply not enough new talent coming in to replace them.
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.
US banks and creditors desperately need this yesterday.
That’s what we’ve seen with our customers. Some have only one or two COBOL developers left in some teams, and they are often the only people with the operational knowledge needed to keep these systems running.
They are either past retirement or about to retire in the coming years.
and now they moved to microservices chaos and need it more than ever.
Hopefully Llm while it may not allow immediately for like 100% ready to go financial services code
Maybe it gives us good tests ?
That alone for something on cobol might be worthwhile
Is this available to install on Hercules emulator for hobbyists? For people unfamiliar with Mainframes, check out the moshix youtube channel.
We don't currently support Hercules, but we are providing free access to a mainframe for people to try out.