Row 50155

Row ID: 50155 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 50155 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

So does this mean that there is/was/will be data-filtering chennels that will be used to clean data/validate data?

What is the proper nomenclature here?

Trusted data/models?

Or is one to just implicitely trust any responses that arent clear hallucinations from providers such as MSOAI?

What industry standards/regulations/guardrails are there for legal ensuring trusted data's integrity...

For example - assume I am using GPT-X-o for a professional service that requires the AI to contextually direct some action that I am liable for - what liability flows up to the model providers, such as MSOAI?

If, lets say in a simplistic liability model it has to do with augmented construction, as an example, and the AI makes miscalcs that result in some sort of structural defect (like the steel used in the Bay Bridge build that came from China and was found to be faulty in its makeup resulting in brittle joints that cracked... now assume that the design, material selection even vendor selction was augmented by AI in some manner where the AI was a stratospheric level provider (not a cloud provider, as strato/substrate provider such as MSOAI) -- and the calcs were bad? Where should liability fall?

What if a stuxnet level approach was taken to calculation poisoning whereby some sort of material property is minutely poisoned to provided a cascading failure over time/scale based on a micro-dose of bad data spread across many manifestations?

It would seem that the age old service level agreements from ISPs now need to be data-integrity/vector-integrity contracts with MSOAI types?

FieldValue
text So does this mean that there is/was/will be data-filtering chennels that will be used to clean data/validate data? What is the proper nomenclature here? Trusted data/models? Or is one to just implicitely trust any responses that arent clear hallucinations from providers such as MSOAI? What industry standards/regulations/guardrails are there for legal ensuring trusted data's integrity... For example - assume I am using GPT-X-o for a professional service that requires the AI to contextually d…
label r/openai
dataType comment
communityName r/OpenAI
datetime 2024-05-22
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Raw Record

{
  "text": "So does this mean that there is/was/will be data-filtering chennels that will be used to clean data/validate data?\n\nWhat is the proper nomenclature here?\n\nTrusted data/models?\n\nOr is one to just implicitely trust any responses that arent clear hallucinations from providers such as MSOAI?\n\nWhat industry standards/regulations/guardrails are there for legal ensuring trusted data's integrity...\n\nFor example - assume I am using GPT-X-o for a professional service that requires the AI to contextually direct some action that I am liable for - what liability flows up to the model providers, such as MSOAI?\n\nIf, lets say in a simplistic liability model it has to do with augmented construction, as an example, and the AI makes miscalcs that result in some sort of structural defect (like the steel used in the Bay Bridge build that came from China and was found to be faulty in its makeup resulting in brittle joints that cracked... now assume that the design, material selection even vendor selction was augmented by AI in some manner where the AI was a stratospheric level provider (not a cloud provider, as strato/substrate provider such as MSOAI) -- and the calcs were bad? Where should liability fall?\n\nWhat if a stuxnet level approach was taken to calculation poisoning whereby some sort of material property is minutely poisoned to provided a cascading failure over time/scale based on a micro-dose of bad data spread across many manifestations?\n\nIt would seem that the age old service level agreements from ISPs now need to be data-integrity/vector-integrity contracts with MSOAI types?",
  "label": "r/openai",
  "dataType": "comment",
  "communityName": "r/OpenAI",
  "datetime": "2024-05-22",
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}
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