Ludovico Rella
Datos Biográficos
| ID | 243364 |
|---|---|
| NOMBRE | Ludovico Rella |
| NOMBRES | Ludovico |
| APELLIDO | Rella |
| FIRMA | RELLA L |
| AFILIACIONES | Durham University |
| ORCID | 0000-0001-5468-9526 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 10 |
| TOTAL DE CITAS | 61 |
| TOTAL COMO AUTOR | 10 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2020 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 6 |
What the edge tells the cloud
Artificial Intelligence algorithms are increasingly deployed outside datacenters and at the so-called Edge, i.e., on end devices such as self-driving cars, smartphones, sensors, and drones, as well as on-premises servers in hospitals and other large but localized institutions. This matters, because, this paper argues, the materiality of the devices on which AI algorithms are deployed influences the “cognition” and behavior of those algorithms. Th…
Nuclear clouds
This short commentary maps the convergence of industrial AI infrastructures and national energy systems, with a focus on the role that nuclear power plays in these ambitions. Drawing from examples from the US and the UK, we start tracing the political economy and techno-political rationalities behind the shift from what previous commentators described as the Carbon Cloud (or the mutual dependency between the AI industry and fossil fuels) to what …
Politics of the prompt
Hybrid materialities, power, and expertise in the era of general purpose technologies
This article proposes three distinct perspectives on and approaches to the study of hybridisation across society, industries, and academia enabled by General Purpose Technologies like AI and blockchain. The term hybridisation is frequently invoked to describe and prescribe human-machine interaction and technological interoperability. Critically assessing processes of hybridisation through the perspectives of (1) materiality, (2) power and (3) exp…
A world model
The computational logics of large language models (LLMs) or generative AI – from the early models of CLIP and BERT to the explosion of text and image generation via ChatGPT and DALL-E − are increasingly penetrating the social and political world. Not merely in the direct sense that generative AI models are being deployed to govern difficult problems, whether decisions on the battlefield or responses to pandemic, but also because generative AI is …
Problematising density
The COVID-19 pandemic dramatically transformed the fundamentals of city management and everyday life. Density has been at the centre of this transformation. But how were densities managed during the pandemic? What are the political implications? And how did people come to perceive and experience densities? Drawing on research in five British cities – Birmingham, Edinburgh, Liverpool, Manchester, and Newcastle – we argue that the pandemic produced…
Close to the metal
This paper investigates the role of the materiality of computation in two domains: blockchain technologies and artificial intelligence (AI). Although historically designed as parallel computing accelerators for image rendering and videogames, graphics processing units (GPUs) have been instrumental in the explosion of both cryptoasset mining and machine learning models. The political economy associated with video games and Bitcoin and Ethereum min…
Machine learning, meaning making
Computer science tends to foreclose the reading of its texts by social science and humanities scholars - via code and scale, mathematics, black box opacities, secret or proprietary models. Yet, when computer science papers are read in order to better understand what machine learning means for societies, a form of reading is brought to bear that is not primarily about excavating the hidden meaning of a text or exposing underlying truths about scie…
Interventions on Democratizing Infrastructure
Steps towards an ecology of money infrastructures
Money’s materiality produces an ontological conundrum for social theory: should the analysis of money foreground the objects used as money, or the abstract relations that underpin it? Provoked by the emergence of cryptocurrencies, this paper develops a conceptualization of money as a technological and social infrastructure which directly addresses this theoretical impasse. Cryptocurrencies’ sole form of material existence coincides with their und…
Problematising density
The COVID-19 pandemic dramatically transformed the fundamentals of city management and everyday life. Density has been at the centre of this transformation. But how were densities managed during the pandemic? What are the political implications? And how did people come to perceive and experience densities? Drawing on research in five British cities – Birmingham, Edinburgh, Liverpool, Manchester, and Newcastle – we argue that the pandemic produced…
Steps towards an ecology of money infrastructures
Money’s materiality produces an ontological conundrum for social theory: should the analysis of money foreground the objects used as money, or the abstract relations that underpin it? Provoked by the emergence of cryptocurrencies, this paper develops a conceptualization of money as a technological and social infrastructure which directly addresses this theoretical impasse. Cryptocurrencies’ sole form of material existence coincides with their und…
A world model
The computational logics of large language models (LLMs) or generative AI – from the early models of CLIP and BERT to the explosion of text and image generation via ChatGPT and DALL-E − are increasingly penetrating the social and political world. Not merely in the direct sense that generative AI models are being deployed to govern difficult problems, whether decisions on the battlefield or responses to pandemic, but also because generative AI is …
Close to the metal
This paper investigates the role of the materiality of computation in two domains: blockchain technologies and artificial intelligence (AI). Although historically designed as parallel computing accelerators for image rendering and videogames, graphics processing units (GPUs) have been instrumental in the explosion of both cryptoasset mining and machine learning models. The political economy associated with video games and Bitcoin and Ethereum min…
Machine learning, meaning making
Computer science tends to foreclose the reading of its texts by social science and humanities scholars - via code and scale, mathematics, black box opacities, secret or proprietary models. Yet, when computer science papers are read in order to better understand what machine learning means for societies, a form of reading is brought to bear that is not primarily about excavating the hidden meaning of a text or exposing underlying truths about scie…
Interventions on Democratizing Infrastructure
Hybrid materialities, power, and expertise in the era of general purpose technologies
This article proposes three distinct perspectives on and approaches to the study of hybridisation across society, industries, and academia enabled by General Purpose Technologies like AI and blockchain. The term hybridisation is frequently invoked to describe and prescribe human-machine interaction and technological interoperability. Critically assessing processes of hybridisation through the perspectives of (1) materiality, (2) power and (3) exp…
Politics of the prompt
Steps towards an ecology of money infrastructures
Money’s materiality produces an ontological conundrum for social theory: should the analysis of money foreground the objects used as money, or the abstract relations that underpin it? Provoked by the emergence of cryptocurrencies, this paper develops a conceptualization of money as a technological and social infrastructure which directly addresses this theoretical impasse. Cryptocurrencies’ sole form of material existence coincides with their und…
Interventions on Democratizing Infrastructure
Close to the metal
This paper investigates the role of the materiality of computation in two domains: blockchain technologies and artificial intelligence (AI). Although historically designed as parallel computing accelerators for image rendering and videogames, graphics processing units (GPUs) have been instrumental in the explosion of both cryptoasset mining and machine learning models. The political economy associated with video games and Bitcoin and Ethereum min…
Machine learning, meaning making
Computer science tends to foreclose the reading of its texts by social science and humanities scholars - via code and scale, mathematics, black box opacities, secret or proprietary models. Yet, when computer science papers are read in order to better understand what machine learning means for societies, a form of reading is brought to bear that is not primarily about excavating the hidden meaning of a text or exposing underlying truths about scie…
Hybrid materialities, power, and expertise in the era of general purpose technologies
This article proposes three distinct perspectives on and approaches to the study of hybridisation across society, industries, and academia enabled by General Purpose Technologies like AI and blockchain. The term hybridisation is frequently invoked to describe and prescribe human-machine interaction and technological interoperability. Critically assessing processes of hybridisation through the perspectives of (1) materiality, (2) power and (3) exp…
A world model
The computational logics of large language models (LLMs) or generative AI – from the early models of CLIP and BERT to the explosion of text and image generation via ChatGPT and DALL-E − are increasingly penetrating the social and political world. Not merely in the direct sense that generative AI models are being deployed to govern difficult problems, whether decisions on the battlefield or responses to pandemic, but also because generative AI is …
Problematising density
The COVID-19 pandemic dramatically transformed the fundamentals of city management and everyday life. Density has been at the centre of this transformation. But how were densities managed during the pandemic? What are the political implications? And how did people come to perceive and experience densities? Drawing on research in five British cities – Birmingham, Edinburgh, Liverpool, Manchester, and Newcastle – we argue that the pandemic produced…
Politics of the prompt
What the edge tells the cloud
Artificial Intelligence algorithms are increasingly deployed outside datacenters and at the so-called Edge, i.e., on end devices such as self-driving cars, smartphones, sensors, and drones, as well as on-premises servers in hospitals and other large but localized institutions. This matters, because, this paper argues, the materiality of the devices on which AI algorithms are deployed influences the “cognition” and behavior of those algorithms. Th…
Nuclear clouds
This short commentary maps the convergence of industrial AI infrastructures and national energy systems, with a focus on the role that nuclear power plays in these ambitions. Drawing from examples from the US and the UK, we start tracing the political economy and techno-political rationalities behind the shift from what previous commentators described as the Carbon Cloud (or the mutual dependency between the AI industry and fossil fuels) to what …
Ethics and Social Impacts of AI (6 obras) · Computer Science (5 obras) · Political science (5 obras) · Politics (5 obras) · Sociology (5 obras) · Law (4 obras) · Artificial Intelligence (3 obras) · Blockchain Technology Applications and Security (2 obras) · Epistemology (2 obras) · Law (2 obras)