OpenAI has just announced that it would be building a tool that could potentially catch students who are asking ChatGPT to write their assignments. But the company is still deliberating whether they would want to release this tool due to the complexity of this issue
The detection tool that OpenAI is building will help users to analyse texts and grade the writing's similarity to an AI generated writeup. But this isn't the first time ChatGPT has released its new AI-detection tool. The previous model that OpenAI created - AI classifier - was taken down on July 20,2023 due to its low accuracy rate. Now, the whole new and improved version of plagiarism tool that OpenAI is developing is using text watermarking to detect AI generated contents. OpenAI's watermarking is described as adjusting how the model predicts the most likely words and phrases that will follow previous ones, creating a detectable pattern. OpenAI claims that the text watermarking method has a 99.0% accuracy rate. On top of its high accuracy rate, the tool is also resistant to tampering, such as paraphrasing. However, the tool is only capable of catching watermarks from its own AI model, so text generated by other language models will not be picked up by the tool.
OpenAI has said in their announcement that although they have built this tool, they are hesitant to release this tool. This stems from OpenAI's apprehension that watermarking could turn users off and stop them from using ChatGPT. This is supported by a survey conducted by the company that shows that 30% of users expressed that they would be less likely to use the software if watermarking was implemented. Taking these sentiments into consideration, the company is considering other potential solutions to these challenges.
In light of nagging user sentiments, the company is also trying other alternatives that are potentially less controversial among users. One of the other methods the company is exploring is embedding metadata into text. But the company says that it is still early to know how well it will work, but it holds promises due to its cryptographic signature, which would eliminate false positives.
The watermarking system has proven that it could be very beneficial for educators aiming to prevent students from submitting AI-generated writing assignments. But there is also complexity involved with the distribution of the tool, for example deciding whether to provide the detector directly to educators or partnering with thirty-party companies specialising in plagiarism detection. This would also highlight the complexities involving implementing the tool and ensuring it serves its intended purpose without unintended consequences.
The Cancun upgrade to reduce DA fees is only an auxiliary reason. The real reason is that after Starknet issued the currency, the treasury had other sources of income and no longer had to rely on fees to generate income, so the L2 Gas Price benchmark was significantly lowered.
JinseFinanceThis article will provide an overview of the Starknet roadmap, as well as major performance upgrades and cost reduction plans designed to further improve Starknet's ability to scale.
JinseFinanceStarknet is a zero-knowledge (zk) Rollup.
JinseFinanceStarknet faced criticism over its STRK token airdrop and unlock schedule, adjusted the release to ease community concerns, leading to a positive market reaction and price recovery.
BrianIn 2024, what other projects are worth investing our time and energy in interacting with?
JinseFinanceDetails on the Starknet token airdrop and what potential opportunities there are in the Starknet ecosystem.
JinseFinanceIf Starknet’s Token economics works, it will inevitably promote the Token issuance of ZK projects such as zkSync, Scroll, and Linea.
JinseFinanceStarknet's STRK airdrop faces scrutiny over fairness and transparency, with concerns raised about selection process manipulation and lack of disclosure.
EdmundExplore the strategic transition of Argent from zkSync Era to Starknet, delving into the timeline of changes, the impact on users, and the unwavering commitment to security. Learn proactive steps to navigate this transformative phase and ensure a smooth asset transfer with our comprehensive guide
WeiliangDiscover the key details of Starknet's upcoming stress test on the Goerli testnet, scheduled for January 30th. Learn about the potential impact on transaction times and networks unaffected by the test, ensuring you're fully prepared
Miyuki
