Jeffrey M. Binder

Jeffrey M. Binder

@jbinder.bsky.social

Author of Language and the Rise of the Algorithm (U. Chicago Press, 2022). Intellectual historian/programmer, currently working in applied ML but still a humanities person at heart. PhD from CUNY. Opinions my own.

744 followers1.4K following96 posts

Jeffrey M. Binder reposted

Speaking of @shothisttech.bsky.social, the #SHOT2026 conference program is now online! We're all virtual this year, and there are lots of great panels, including a session I'm moderating w/Jennifer Alexander on the future of #histtech publishing. www.historyoftechnology.org/wp-content/u... 🗃️📜⚙️

Ben Gross@bhgross144.bsky.social

Hey, #histtech & #histSTM friends! Have you voted in this year's @shothisttech.bsky.social elections? The deadline to submit your ballot is this Sunday, October 18 at 11:59 PM, CET. ⚙️🗃️ shotsecretariat.wufoo.com/forms/m1acrd...

My book, Language and the Rise of the Algorithm, will be coming out in paperback this winter! Check it out if you'd like a historical perspective—a long one, going back to the 1500s and earlier—about the current tensions surrounding AI. press.uchicago.edu/ucp/books/bo...

press.uchicago.eduLanguage and the Rise of the AlgorithmA wide-ranging history of the algorithm.Bringing together the histories of mathematics, computer science, and linguistic thought, Language and the Rise of the Algorithm reveals how recent developments...

Saying that LLMs “just predict the next word” isn’t the deflation people think, because it puts all the weight on “just.” It’s hard to place limits on what sorts of knowledge and inferential capability might be relevant to next-word prediction.

tbabb@tbabb.bsky.social

reality is starting to push through the cracks for some people

Bandcamp Friday again, and this time I have a new batch of analogue/modular synth drones: circlesofproportion.bandcamp.com/album/nine-f...

circlesofproportion.bandcamp.comNine Facilities Not Otherwise Specified, by Proportion9 track album
Jeffrey M. Binder@jbinder.bsky.social

It’s Bandcamp Friday, a good day to point out that I released some weird synth music circlesofproportion.bandcamp.com/album/prelim...

One trend I've noticed in industry is a desire to make systems "deterministic." This word seems to be straying from its computer-science definition into epistemic virtue territory, getting conflated with accuracy or certainty. Not exactly a reaction against AI, but a sort of footing readjustment.

Jeffrey M. Binder reposted

New publication alert! I contributed a chapter to the book Dis/Trusting the Digital World in Imaginative Literature (@edinburghup.bsky.social). My chapter touches on Edgar Allan Poe’s “The Raven,” the Mechanical Turk hoax, and Charles Babbage's approach to establishing trust in machines.

New publication alert! I contributed a chapter to the book Dis/Trusting the Digital World in Imaginative Literature (@edinburghup.bsky.social). My chapter touches on Edgar Allan Poe’s “The Raven,” the Mechanical Turk hoax, and Charles Babbage's approach to establishing trust in machines.

A problem with "LLMs are just autocomplete" as a means of explanation is that what autocomplete is doing—in terms of both objective and mechanism—is far from straightforward or widely understood. The analogy effectively amounts to explaining one black box by another black box.

I'm personally skeptical that hallucination can be solved in the current paradigm, but the Computer World article is basically misinformation, and people are jumping on it because it confirms their biases.

“Large language models like ChatGPT produce shallow, unoriginal ‘predictive text-y ideas’ and I worry that my students and others will increasingly believe that that’s okay—that there’s nothing better than that to aspire to.”

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Is it possible for numbers to get too big? We’ll tell you about a shocking new development, after this.

Laura Helmuth@laurahelmuth.bsky.social

A newly discovered prime number contains 41,024,320 digits. To put that in perspective, the estimated number of atoms in the observable universe has 80 digits. 🧪 www.scientificamerican.com/article/new-...

Thinking of the time when I bought two CDs from a stand at the WFMU record fair—"Momentum" by Monolake and "Jonathan Sings!" by Jonathan Richman—and the seller seemed to have trouble comprehending that the same person could want both of these albums.

I’ve been noticing a tendency among LLM enthusiasts to blame the prompt, not the model, whenever things go wrong. It’s snake oil salesman stuff: if my potion doesn’t cure your wounds, you just didn’t have enough faith. It makes the effectiveness of the technology itself unfalsifiable.

One thing I didn’t anticipate in my book is the sudden schism between “machine learning” and “AI” as professional affinities. Not only stuff like XGBoost, but even BERT-style transformers are now called “classical machine learning” by people into prompt engineering, RAG, etc.

Jeffrey M. Binder reposted

People, one week left before the ACH2024 proposal due!

ACH@ach.bsky.social

This is a good day to consider attending ACH2024! The proposal due is on May 20th. We're inviting abstract submissions on a wide range of topics exploring the intersection of technology and humanities. Submit your abstract today and be part of the conversation! ach2024.ach.org