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      "text": "Descriptions of INOD’s offshore operations by former employees paint a different picture than the one INOD management portrays. On INOD’s 1Q23 earnings call, Abuhoff purports they are doing more sophisticated AI annotation than the work that was used to train Chat GPT.",
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      "text": "Former employees describe INOD’s operation as being incredibly labor-intensive with cheap, offshore workers conducting data entry. It is clear humans, not AI, are doing the brunt of the work.",
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      "text": "Analyst: “It’s supposedly when Microsoft did their ChatGPT, supposedly a lot of the annotation was done in Kenya for $3.00 an hour. I mean is there a difference in the kind of annotation you guys do versus that kind of annotation?” Jack Abuhoff: “Yes, there is. There’s a great deal of difference. Some of the early models that have been built kind of go very broad but very narrow. There’s not a great deal of annotation that’s required. Much of what we do is the complex stuff. It’s going deep into subject matter domains, it’s going deep into use cases.”",
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      "text": "Wolfpack Analyst: “This doesn’t sound very AI related; you know, people pounding on keyboards...” Former Employee: “No...that’s the thing I don’t get and that’s why I say they’re spinning. They’re making more out of it than it is...I am sure that [AI] has a role in their company but I think they’re billing themselves as very much an AI company. When [at the] end of the day, 10 years ago they had 5,000 people banging away at keyboards and they still have 5,000 people banging away at keyboards [now].”",
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      "text": "Analyst: “It’s supposedly when Microsoft did their ChatGPT, supposedly a lot of the annotation was done in Kenya for $3.00 an hour. I mean is there a difference in the kind of annotation you guys do versus that kind of annotation?” Jack Abuhoff: “Yes, there is. There’s a great deal of difference. Some of the early models that have been built kind of go very broad but very narrow. There’s not a great deal of annotation that’s required. Much of what we do is the complex stuff. It’s going deep into subject matter domains, it’s going deep into use cases.” — 1Q23 Earnings Call. Former Employee: “No...that’s the thing I don’t get and that’s why I say they’re spinning. They’re making more out of it than it is...I am sure that [AI] has a role in their company but I think they’re billing themselves as very much an AI company. When [at the] end of the day, 10 years ago they had 5,000 people banging away at keyboards and they still have 5,000 people banging away at keyboards [now].”",
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      "text": "INOD’s “AI” Is Powered by Thousands of Low-Wage Offshore Employees, Not Proprietary Software",
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