My ChatGPT request: Write a Pre-purchase marine surveyor report on 30-foot sailboat with wooden hull.
Response from ChatGPT is: Pre-Purchase Marine Surveyor Report
Introduction: This report is a pre-purchase survey on a 30-foot sailboat with a wooden hull. The surveyor has visually inspected the vessel and conducted a sea trial to assess the condition of the vessel’s structure, systems, and equipment. The report is intended to provide the prospective buyer with an objective evaluation of the boat’s condition to aid in the decision-making process.
General Information: The boat is a 30-foot sailboat with a wooden hull. The vessel is sloop-rigged and equipped with a diesel engine. The boat was built in 1978 and has had several owners throughout its life.
Hull: The hull of the vessel is constructed of wood planks with copper fastenings. The hull was visually inspected above and below the waterline, and no evidence of damage or significant wear was found. The hull appeared to be in good condition, with no signs of rot or delamination. The hull was also checked with a moisture meter, and readings were within acceptable limits.
Deck: The deck of the vessel was also visually inspected, and no signs of significant wear or damage were found. The deck was found to be solid and secure, with no evidence of soft spots or delamination.
Rigging and Sails: The rigging and sails were inspected and found to be in good condition. The standing rigging appeared to be well- maintained, with no signs of excessive wear or damage. The sails were inspected and found to be clean and free of significant wear or damage.
Engine and Mechanical: The diesel engine was started and operated for a period of time during the sea trial. The engine performed well, with no signs of significant issues. The sea trial also revealed that the boat handled well under power and sail.
Electrical and Electronics: The electrical and electronic systems were inspected, and all equipment appeared to be in good working order. The navigation equipment, including the GPS and VHF radio, functioned correctly, and the boat’s battery system was found to be well-maintained.
Conclusion: Based on the inspection and sea trial, the surveyor finds that the vessel is in good condition for its age and appears to have been well-maintained by its current owner. The hull, deck, rigging, sails, engine, and mechanical and electrical systems are all in good working order. However, the prospective buyer should be aware that as a wooden boat, ongoing maintenance will be necessary to ensure the vessel’s longevity. Overall, the vessel represents a good value for its age and condition.
In the future it will be essential that survey reports can be validated by recipients for authenticity and IIMS could play a key role in enabling this!
Commentary from the author:
This report is dangerous: • It is a fictitious sailboat.
• It is just a fabricated document but notably different from the previous one (not only with respect to hull material).
• It also alludes to a fictitious sea trial, moisture meter testing and build date.
• It is lightweight, because it lacks detail, but interestingly it highlights ongoing maintenance and longevity.
• It also includes a fictitious build date.
• If fictitious photographs, detail of dimensions, inventory, and other data, was added the report could be manipulated to seem plausible to the inexperienced / un-initiated / unsuspecting purchaser.
• Any bonafide marine surveyor would (even after embellishment) understand that such a survey report was unacceptable and lacking in many areas.
Imagine that the seller of a 30-foot wooden sailboat does not want to engage a marine surveyor but wishes to allude to the fact that a survey exists, they could use ChatGPT to generate such a report and expand it by adding detail. Further the report alludes to a sea trial and moisture testing. However, creating fictitious survey reports is of course possible without the help of ChatGPT, but ChatGPT just makes it easier.
I then ask ChatGPT: How can I validate if a report was created by ChatGPT?
ChatGPT response:
As an AI language model, I am not capable of producing reports on my own. I am simply a tool that processes input data and generates output based on that data. Therefore, if a report was created by ChatGPT, it would mean that a human user used me to generate the report by inputting specific information and parameters.
However, there is no way to validate whether a report was created by ChatGPT or not, as I do not have any record or memory of past interactions. Additionally, even if a report was generated using my language model, it would still require human interpretation and editing to ensure accuracy and completeness.
56 | The Report • June 2023 • Issue 104
Page 1 |
Page 2 |
Page 3 |
Page 4 |
Page 5 |
Page 6 |
Page 7 |
Page 8 |
Page 9 |
Page 10 |
Page 11 |
Page 12 |
Page 13 |
Page 14 |
Page 15 |
Page 16 |
Page 17 |
Page 18 |
Page 19 |
Page 20 |
Page 21 |
Page 22 |
Page 23 |
Page 24 |
Page 25 |
Page 26 |
Page 27 |
Page 28 |
Page 29 |
Page 30 |
Page 31 |
Page 32 |
Page 33 |
Page 34 |
Page 35 |
Page 36 |
Page 37 |
Page 38 |
Page 39 |
Page 40 |
Page 41 |
Page 42 |
Page 43 |
Page 44 |
Page 45 |
Page 46 |
Page 47 |
Page 48 |
Page 49 |
Page 50 |
Page 51 |
Page 52 |
Page 53 |
Page 54 |
Page 55 |
Page 56 |
Page 57 |
Page 58 |
Page 59 |
Page 60 |
Page 61 |
Page 62 |
Page 63 |
Page 64 |
Page 65 |
Page 66 |
Page 67 |
Page 68 |
Page 69 |
Page 70 |
Page 71 |
Page 72 |
Page 73 |
Page 74 |
Page 75 |
Page 76 |
Page 77 |
Page 78 |
Page 79 |
Page 80 |
Page 81 |
Page 82 |
Page 83 |
Page 84 |
Page 85 |
Page 86 |
Page 87 |
Page 88 |
Page 89 |
Page 90 |
Page 91 |
Page 92 |
Page 93 |
Page 94 |
Page 95 |
Page 96 |
Page 97 |
Page 98 |
Page 99 |
Page 100 |
Page 101 |
Page 102 |
Page 103 |
Page 104 |
Page 105 |
Page 106 |
Page 107 |
Page 108 |
Page 109 |
Page 110 |
Page 111 |
Page 112 |
Page 113 |
Page 114 |
Page 115 |
Page 116 |
Page 117 |
Page 118 |
Page 119 |
Page 120 |
Page 121 |
Page 122 |
Page 123 |
Page 124 |
Page 125 |
Page 126 |
Page 127 |
Page 128 |
Page 129 |
Page 130 |
Page 131 |
Page 132 |
Page 133 |
Page 134 |
Page 135 |
Page 136 |
Page 137 |
Page 138 |
Page 139 |
Page 140 |
Page 141 |
Page 142 |
Page 143 |
Page 144
