No spam, ever. We'll never share your email address and you can opt out at any time. Already a subscriber? Log in
Machine learning and literary history
OpenAI's claim that this is a central conjecture in discrete geometry is not an exaggeration. This will I think be looked back on as the first time that AI solved a major mathematics problem (defined as a problem that all experts in some subfield had thought about). openai.com…
In the "Limitations" section they acknowledge that their study was monolingual, but say a multilingual generalization would be interesting. arxiv.org/abs/2605.26492
There is a lot being written about the stylistic tells of AI writing (em-dashes, etc.) but this paper looks at AI narrative tells instead. Fascinating differences between AI & human narrative, and asking AI to write in different styles doesn't do much to change it arxiv.org/ab…
For fans of Talkie-1930 and all the methodological questions raised by historical models, here's a new entrant into the field, TypewriterLM, trained up to 1913. Corpus, instruction-tuning datasets, and event dataset are released. arxiv.org/abs/2606.02991
Gemma 4 12B is live! 🚀 An encoder-free multimodal model (text/img/audio) for local 16GB laptops. Elite reasoning nearing 26B MoE in half the size, fast, and open (Apache 2.0). This is the main reason I was not posting much!! Glad it is launched!! blog.google/innovation-a...
Thoughts on metascientific consequences of AI-generated slides & ideas diluting the impression that speakers are commited to what they present. Science runs on personal attachment more than we admit. If it were a cake mix, how wouldn we add back an egg? statmodeling.stat.colum…
GDM, @schmidtsciences.bsky.social, @coop-ai.bsky.social, @aria-research.bsky.social, and Google announce a $10M funding call for multi-agent saftey research! Amazing, such an important research area. 🤩 Check it out 👇 Deadline for applications: August 8th, 2026. deepmind.google…
I've spent months rethinking and rebuilding my programming languages course from scratch for the agentic coding era. I wrote myself a memo explaining what I'm doing. I figure others might be interested in the redesign, so here goes! Feedback welcome of course. docs.google.com/…
Derived datasets are bigger on Hugging Face Hub than people realise. ~73% of analysed datasets on the Hub are derivatives of something else, i.e. cleaned, translated, extended, etc. Built an explorer that infers the missing lineage from content: huggingface.co/spaces/davan...
The geopolitical angle of the AI race is only going to keep accelerating. More domestic talent travel restrictions from the Chinese government. I expect more and more things like this, AI is getting embedded in the core of existing power structures. www.bloomberg.com/news/arti…
Really cool to see the GLM 5.2 blog on Hugging Face 🔥 huggingface.co/blog/zai-org...
Findings show some language models, like Gemma-3-27B, exhibit 'latent planning' by forming representations that influence outputs. Detected via activation patching, this reveals model behavior complexity and enhances understanding of AI text generation. https://arxiv.org/abs/2…
So, naive question about these campuses that pay OpenAI $13mil/yr. Why don’t they pour that money into a cluster running the strongest available open-weight model, with API and interactive options. And if the answer is “overhead,” why aren’t we collaborating?
If the Feds’ move against Fable was an isolated thing, you might say “paranoid US regime.” But putting it together with Anthropic’s own efforts to nerf the model on ML research—and the long history of chip controls—it really feels like we’re entering an era where knowledge is behind lock & key. +
Anthropic survey of social scientists tending to support my anecdotal impression: friends who see potential value in AI mostly use it for coding (or use it dialogically), and are wary-to-disapproving about asking it to draft documents or significant sections of them. +
Every academic I know who uses or studies AI is also deeply worried about the technology’s effect on universities. Concern is universal. What separates people is how they think we should respond: whether by pumping the brakes, backing up, or trying to steer through the hazard. +
It is really necessary to publish drafts about AI instantly. If you let them sit for two months after getting readers' reports, they become historical documents and you have to revise them from scratch.
People who see value in AI are explaining popular anxiety by saying "SV did a bad sales job." Possible. More plausible, for me, is @michellegoldberg.bsky.social: anxiety is highest in the US b/c low trust in leaders generally. But also, come on—why would we ever expect AI not to provoke anxiety?
I was just checking on the meaning of this German phrase, but AI overviews thought I was saying "see ya!" and responded in kind. I actually like this kind of diffuse, free-floating personification ...
The Pope teaming up with Anthropic is how I define “ecumenical.”
Me: According to @srhm.ca, LLMs love telling stories about lighthouse-keepers, clockmakers, and librarians. @ecourtem.bsky.social, without pausing for even one second: Sure. Doesn't everyone? Those are all places where the finite world encounters the infinite. Me: ....
Academics are willing to make reasonable adjustments. So you see a lot of requests like "Okay. I don't want to be closed-minded. Show me how I can adjust my teaching to reflect AI, without—of course!—turning the class into a class *about* AI." And I wish I had answers.
Center = Ted Underwood. 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.
