Twitter has taken a significant step in its battle against data scraping and system manipulation by blocking data access to AI-based chatbots like ChatGPT. This move comes after the social media platform placed limits on the number of tweets users can view in a day. Elon Musk, the billionaire CEO of Tesla, announced the rule changes, which favor verified accounts, to address concerns about excessive data scraping. However, these new restrictions have also impacted the data-based training of ChatGPT’s language models.
Musk has been vocal about the potential threats posed by artificial intelligence and has called for limitations on its development. The new restrictions on non-verified users on Twitter aim to prevent excessive data scraping, which could be used to manipulate systems.
One consequence of these restrictions is that Twitter’s data access to the ChatGPT web browser extension has been blocked. Previously, the chatbot could easily browse Twitter data and perform actions like summarizing a series of tweets. However, now when trying to retrieve tweets from any account, users receive a technical issue message.
This move by Twitter is significant as it emphasizes the platform’s commitment to protecting its data and preventing manipulation. By limiting data access to AI-based chatbots like ChatGPT, Twitter aims to create a more secure environment for its users.
It remains to be seen how this move will impact the development and functionality of AI chatbots like ChatGPT. With the limitations on data access, developers may need to find alternative sources of data or adapt their models to work within the new restrictions.
Elon Musk’s criticisms of artificial intelligence and his support for limitations on its development have sparked discussions about the potential risks associated with AI. It is clear that Twitter is taking steps to address these concerns and protect its platform from malicious actors.
The blocking of data access to ChatGPT’s browser extension is just one example of how Twitter is actively working to maintain the integrity of its platform. It is worth noting that these restrictions primarily affect non-verified accounts, giving verified accounts an advantage in terms of data access.
As the battle against data scraping and system manipulation continues, we can expect further developments in how platforms like Twitter approach AI-based technologies. For now, it seems that Twitter is taking a proactive stance in ensuring the security and reliability of its platform.
