• Generative AI in higher education: what comes after the assessment crisis? 

• How the concept of platform shaped my research

• Whenever we speak, we are unconditionally asking to be heard

• Peter Thiel at the Oxford Union

• If AI was like a hammer

• Theorising permanent instability and volatility as necessary rather than contingent features of the environment

• The bleak future of AI tutorials

• Platform & agency: becoming who we are in a digital world

• From social media to generative media: a first lecture on my next project after Generative AI for Academics

• Using ChatGPT to describe the style of images so you can reproduce them in DALL-E

• Claude: how can you help me analyse open response questions on surveys?

• ChatGPT: how can academics use the new voice conversation and image analysis features?

• Generative AI for Academics: 13 principles

• Where Lacanian psychoanalysis meets Buddhism

• Synthetic humans as research instruments

• Smallville: ChatGPT NPC Life Simulation. Emergent conversation

• Elon Musk on deautomation

• On returning to music

• Some notes on projectification

• What if we have achieved postcapitalism but it isn’t socialism?

• AI, digitalisation and the crisis of post-pandemic capitalism

• Alan Levinovitz on empowerment epistemology

• “You just cannot trust someone who is publishing ten papers a year in top journals.”

• The coming wave of document forensics about to hit the university: the weak signals of generative AI

• DALL-E 3: Draw me a picture of a capybara taking over the world

• The impending wave of innovation in generative artificial intelligence

• CfP: The future of conspiracy scholarship: New epistemologies and imaginaries

• Machine translation in higher education

• Can academic projects keep up with the UX expectations of students?

• How to think contextually about educational technology

• Bhaskar’s concept of ‘present-moment awareness’

• Big Data, Critical Realism, Human Agency and the Future of the Social Sciences

• Beyond ChatGPT: what next for generative AI in higher education

• A list of human cognitive biases and the assumptions underpinning them

• How Amazon define the difference between AI-generated and AI-assisted

• The power of giving language to hidden things

• Interrogating AI in education: when peeking inside the black box is not enough

• Lauren Berlant on writing in a parenthetical voice

• A few thoughts about the difficulty of living a reparative life

• Societal collapse is a process rather an event

• A really interesting spin on interdisciplinarity in digital scholarship

• Incorporating ChatGPT into Moodle

• Lacan’s ‘objet a’: you still haven’t found what you’re looking for (and you’re never going to)

• On learning what matters to us

• How to reduce the environmental impact of generative AI

• The looming crisis in higher education

• Why are conspiracy theories coalescing into a heterogenous world view?

• Nick Cave on the importance of humility in a bizarre and temporary world

• Shock as a narrative vacuum

• Maurizio Lazzarato’s a-signifying semiotics and the computational infrastructure of generative AI

• It’s all in the game though, right?

• Using ChatGPT to fix spreadsheets

• On platform and agency

• In defence of the lecture

• Generative AI and the destabilization of cultural objects

• The sociology of the digital daemon

• ChatGPT’s advice on examining student essays for evidence of generative AI

• The cognitive load of conversational agents is a feature not a bug

• Chatting in natural language with a massive archive, built from hand-picked trustworthy sources

• The business case for generative AI in organisations will be surveillance

• The capacity of the algorithm to create monsters

• Techno-optimism as boomer dogma

• The ethical paralysis facing millennials

• Sociotechnical change as an invitation to reflexivity

• What will generative AI do to the zone of proximal development?

• Superficial engagement with generative AI masks its potential contribution as an academic interlocuter

• Call for Proposals – Posthumanism and Media Studies

• CfP: The Realist Approach to AI

• Tfw the only sections left in your book are the difficult ones you have been putting off

• Who does the thinking? The role of generative AI in higher education

• Metrics and comparison in a generative AI-infused university

• Generative AI, the threat of automation and the treatment/diagnosis link

• Generative AI and the threat to the academic profession

• Current mood in (not) AI generated images #17

• “We all have a sense of what really living, and not just existing, would be. We know that there’s a level of life that’s rare to attain”

• Interview with Nature about post-Twitter social media

• Podcast: the future of the post-pandemic university

• 9 ways to use use conversational agents as a tool for thinking rather than a substitute for thought

• Charles Taylor on the Four Modes of Modern Seeking

• Theory is most productive not when it gives the right answers but when it poses the right question

• Using generative AI to summarise conversations in order to feed them into future projects

• The poetics of disruption obscure the sociotechnical transformation of knowledge production

• The relational possibilities of generative AI in knowledge-production: an initial sketch from realist relational sociology

• Hey Claude, how would Alfred Whitehead have analysed the cultural ontology of generative AI?

• The slow destruction of ‘the immediacy of the written word’ as technology develops

• Conversational AI as a tool for thinking-with rather than a technique for replacing our labour

• Generative AI and the frictionless digital brain

• Claude AI the social theorist. Or, can we have theorising without thinking?

• Apple’s R&D budget is significantly bigger than the UK government’s

• How do Claude and ChatGPT 4 compare as an interlocutor?

• “I think if you start writing a book and you don’t feel as if you’re drowning it’s not worth doing”

• A postdigital approach to platforms in higher education

• If you’re writing a critical analysis of ChatGPT you need to learn how to use it first

• Social media is EVERYWHERE in the REF 2021 case studies. Initial findings from our study, analysed with Claude AI

• Code Interpreter for ChatGPT is mind blowing

• Overcome difficulties by multiplying them

• Generative AI as a source of practical knowledge

• What if those who lap up the eschatological enthusiasms of Left Behind and QAnon are in many cases survivors of their own chronic and acute disasters?

• Using generative AI to summarise the key messages of your book

• To be traumatized is to be unable to innovate, or improvise, or surprise oneself