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.
650REDHAIR
US banks and creditors desperately need this yesterday.
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schlauerfox
Is this available to install on Hercules emulator for hobbyists?
For people unfamiliar with Mainframes, check out the moshix youtube channel.
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redbluff
How about mainframe systems using PL/I instead of Cobol?
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happyPersonR
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
cube00
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 [...]
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.
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giancarlostoro
> Mainframes still run a surprising amount of critical infrastructure: banking, payments, insurance, airlines, government programs, logistics, and core operations at large institutions. Many of these systems are decades old, but they continue to process enormous transaction volumes because they are reliable, secure, and deeply embedded into business operations.
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.
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artem_am
[flagged]
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sixtyj
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. :)
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.
US banks and creditors desperately need this yesterday.
Is this available to install on Hercules emulator for hobbyists? For people unfamiliar with Mainframes, check out the moshix youtube channel.
How about mainframe systems using PL/I instead of Cobol?
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
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
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.
> Mainframes still run a surprising amount of critical infrastructure: banking, payments, insurance, airlines, government programs, logistics, and core operations at large institutions. Many of these systems are decades old, but they continue to process enormous transaction volumes because they are reliable, secure, and deeply embedded into business operations.
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.
[flagged]
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. :)