Assessing the capabilities of ChatGPT to improve additive manufacturing troubleshooting

Discussing ChatGPT’s implications for industry and higher education: The case for transdisciplinarity and digital humanities

“…Just two months after its launch, ChatGPT became the fastest-growing consumer application in history (Hu, 2023), and almost immediately proved potential applicability in policymaking and within a variety of industries, including manufacturing, construction and healthcare, to name just a few (Baldini et al, 2023; Biswas, 2023; Kung et al, 2023; Prieto et al, 2023; Rathore, 2023). The advanced chatbot demonstrates a wide range of abilities, suggesting it can be used to augment or replace humans in a range of complex tasks, such as coding (Gewirtz, 2023), identification of legal strategies on behalf of litigation lawyers (Iu and Wong, 2023) and medical research and decision making (Cascella et al, 2023), and, as a result, create significant disruption in the labor markets (Hatzius et al, 2023).…”

“…Despite pressing concerns regarding its hallucinations, biases, privacy issues, so-called ‘industrial capture’, and potential grave abuses (Ahmed et al, 2023; Alkaissi and McFarlane, 2023; Allen et al, 2023; Borji, 2023; Foroohar, 2023; Goldstein et al, 2023; Schramowski et al, 2022), ChatGPT showcases capabilities that seem superior in breadth and depth next to human skills: most evident is its relative ‘fluency’ in 24 languages (OpenAI, 2023b). The public release in November 2022 of the current free version of ChatGPT, based on the GPT-3.5 technology, generated significant academic interest in possible applications of the new technology in policymaking and a variety of industries such as manufacturing, construction, and healthcare (Baldini et al, 2023; Biswas, 2023; Kung et al, 2023; Prieto et al, 2023; Rathore, 2023). It furthermore reignited an age-old debate on the impact of disruptive technologies on occupations and the labor market (Eloundou et al, 2023; Felten et al, 2023; Hatzius et al, 2023; Iu and Wong, 2023; Taecharungroj, 2023), and instigated a novel, vibrant discussion on the immediate opportunities offered and challenges posed by powerful and readily-accessible generative AI to the education industry (Arif et al, 2023; Baidoo-Anu and Owusu Ansah, 2023; Bozkurt et al, 2023; Cotton et al, 2023; Crawford et al, 2023; Halaweh, 2023; Kasneci et al, 2023; King and ChatGPT, 2023; Luan et al, 2023; Lund and Wang, 2023; Mhlanga, 2023; Opara et al, 2023; Qadir, 2022; Rospigliosi, 2023; Rudolph et al, 2023; Susnjak, 2022; Tlili et al, 2023; Zhai, 2022).…”

Benchmarking AI design skills: insights from ChatGPT's participation in a prototyping hackathon

“…Multiple engineering disciplines have experimented with and adopted these tools, solving tasks such as calculations in mechanical engineering (Tiro, 2023), assessing engineering students (Qadir, 2023) as a means of fostering concept generation in product design (Filippi, 2023) and writing academic papers (Thunström, 2022). It has already started transforming the way engineers write code (Ahmad et al, 2023), and it has been used as a tool for optimising 3D printing processes (Badini et al, 2023) and to generate functional 3D models iteratively (Nelson et al, 2023). It also exhibits human-level performance on several professional and academic exams (OpenAI, 2023).…”

Inteligencia Artificial - Chatgpt: un estudio bibliométrico y su aplicación en el caso de Gases de Efecto Invernadero

“…Por su parte ChatGPT, funciona utilizando el modelo de lenguaje GPT (Generative Pre-trained Transformer) de OpenAI o Modelo de Lenguaje Grande que crea texto rastreando miles de millones de palabras de datos de entrenamiento y aprendiendo cómo las palabras y frases se relacionan entre sí (Stokel-Walker & Van Noorden, 2023). ChatGPT tiene el potencial de ser aplicado en diferentes campos de estudio, destacándose, entre otros, los siguientes: educación (Huh, 2023;Lo, 2023), ciencias de la salud (Cifarelli & Sheehan, 2023;Archibald & Clark, 2023;Alser & Waisberg 2023), periodismo (Pavlik, 2023), variabilidad climática (Wegmann, 2023), redacción y publicación científica (Else, 2023;Thorp, 2023;van Dis et al, 2023;Ali & Djalilian, 2023;Anderson et al, 2023), biología (Agathokleous et al, 2023), biotecnología (Holzinger et al, 2023), simulaciones demográficas (Guliyev, 2023); y tecnologías de impresión 3D (Badini et al, 2023). En adición a ello, este leguaje tiene el potencial de identificar prioridades de investigación y proporcionar un punto de partida para futuras investigaciones (Lahat et al, 2023).…”