I found this a really thought-provoking argument from Morten Hansen about the commercialisation strategies for LLMs, developing from the familiar focus on monetising attention (surveillance capitalism etc) to monetising cognition:
I propose that cognitive lock-ins can be defined as arrangements reconfiguring cognition across users and technology in ways that makes replication contingent on that specific technology. It is achieved through three interrelated practices: black-boxing, distanced-probabilistic computation, and access-based consumption.
I understand him to be arguing that LLMs will tend to, even if I’m using a slightly different vocabulary to summarise these points:
- Deprive users of learning opportunities which they would forced to undergo if they can’t immediately produce an output
- Distance users from the practical engagement with artefacts through which we create meaning and derive value from our activity
- Forcing users to rely on subscription-based access to capacities which are now integral to their practice
My response would be that (1) and (2) are an empirical question. I think ‘cognitive lockin’ could be seen as a mode of reflexive engagement with LLMs, alongside other modes. What I talk about in Generative AI for Academics as thinking with LLMs, rather than using them as a substitute for thought is an attempt to make this distinction at the level of practice. It’s the difference between using them as part of the process versus a means to quickly secure an output, subordinating the logic of practice to the logic of the machine. I think (3) is necessarily true as a feature of these systems being operated by commercial entities, though I suspect we will see attention-based models over the coming years.
There’s nothing about LLMs which necessarily leads them to generative cognitive lock-in. But I worry that this is a contingently likely outcome of the incentive systems which lead professional in particular to relate to LLMs in a certain way. My whole approach to this, until I’ve started to trying to seriously theorise it in recent months, has been about mapping modes of engagement which avoid lock-in, even if I’m increasingly persuaded by Helen Beetham that what I’ve developed just isn’t going to scale, at least within higher eduaction.
