Turnitin punishes good writing #shorts #ai #chatgpt

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Turnitin punishes good writing #shorts #ai #chatgpt

Summary 1:
The speaker reflects on their previous discussions about social issues they believe should have been learned. They mention being crash-tested and uncertain about their future, but express a need to push back against expectations.

Summary 2:
The speaker mentions being accused of insubordination by the legal profession without being asked for their side of the story. They express their disbelief and state that they have not done anything wrong.

Summary 3:
The speaker questions the accuracy of Turnitin, a detection tool used to determine plagiarism. They compare its accuracy to Open AI’s detection tool, suggesting that Turnitin misrepresents its product’s capabilities and questions its authority.

Summary 4:
The speaker argues that Open AI’s detection tool, designed to detect their own language model, is only 30% accurate. They believe Turnitin, a plagiarism detection tool, should not claim superiority over Open AI’s capabilities.

Summary 5:
The speaker expresses frustration with Turnitin, claiming the company misrepresents their product by inaccurately claiming its superiority over Open AI’s detection tool. They assert that Turnitin does not know better and question their credibility.

Summary 6:
The speaker raises doubt about Turnitin’s accuracy in detecting plagiarism, highlighting the fact that even Open AI’s detection tool has a success rate of only 30%. They challenge Turnitin’s claims and emphasize their skepticism towards the company.

Summary 7:
The speaker disputes Turnitin’s credibility by comparing its performance to that of Open AI’s detection tool, calling into question the former’s supposed accuracy in detecting plagiarism. They express concern about Turnitin falsely representing their product’s capabilities.