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"CrankGPT is a fully offline and off-the-grid AI box (...) You can feel that load curve through the crank: when LLM inference and speech synthesis run together, the crank gets a lot harder to turn." squeezlabs.github.io/handcrank/
Coming tomorrow to Canvas, if your university subscribes at the Canvas Next tier (IDK what that is either) and your IT department enables "Ignite AI." community.instructure.com/en/discussio...
Working with the MLA AI and Research Working Group was the highlight if this past year for me. I can’t overstate the care, thoughtfulness & commitment each member brought to the process. mlaai.hcommons.org/ai-and-the-h...
This from @laurenfklein.bsky.social et al.? arxiv.org/abs/2502.19190
I have achieved peak Textpocalypse, having now been quoted in an article about AI slop that is itself AI slop (and clearly ripped off from Jill LaPore’s recent NYer piece). eu.36kr.com/en/p/3823865...
This superb new paper by @mrsbunz.bsky.social makes the same point in considerably more depth with a theory of meaning making for generative writing. The conclusion: a call to go “beyond the usual human reaction to tame or make disappear what is different.” www.journals.uchica…
library.virginia.edu/ai/shared-pr...
So the Rosenbaum FUTURE OF TRUTH thing is appalling, but let’s not pretend this is an aberration: the over the fence talk I hear is that full on AI is now the norm in trade nonfiction.
A thing we’re seeing with the encroachment of AI on services like Google search is a highly counterintuitive displacement of the list—an information genre honed over millennia—by discursive prose. In the distinction popularized long ago by Lev Manovich, narrative is triumphing over database.
I understand why we’re still explaining to people that LLMs are not conscious but I also don’t understand why we’re still explaining to people that LLMs are not conscious. Like imagine thinking this is the conversation to have.
Does anyone know of an account of what was happening inside of Google‘s DeepMind c. 2015-2020? Looking for something like Karen Hao’s work— Definitely doesn’t have to be book length, but that combination of investigative reporting and narrative history.
Despite the frequency of the analogy, one should keep in mind that autocomplete and LLMs are materially different technologies. Just think about how willfully stupid the services built into your phone can seem (for example). Case in point: 🧵
In a talk I’ve been giving this spring, I’ve pointed out that “the same authors who are tireless critics of the tendency to anthropomorphize large language models by way of words like ‘know’ and ‘understand’ and ‘think’ seem content to dismiss them based on their inability to ‘mean’ or ‘intend.’” +
Center = Matthew Kirschenbaum. Left = members they follow (green edges). Right = members who follow them (blue edges). Top = mutual follows (orange edges, slightly larger). Drag any node to reposition; click to open that profile.