Tomorrow moves fast. Make sense of it.
An independent publication by Rajath Vanakudare
An invented book-swap flyer shows how to give AI revisions a clear scope and check the document people will actually read.
New developments, explained with context.
A new report about the Allen Telescope Array shows how AI can help operate an instrument—and why identifying a signal’s source is a separate scientific task.
Liquid AI’s new video model offers a concrete way to understand frame sampling—and why a brief flash can fall between the pictures.
A new Ai2 study shows why an originality verdict needs context. An imagined study app offers a more useful way to investigate an idea.
A new Gemini API logging default helps separate three questions: what an assistant can recall, what gets stored, and what can be used to improve models.
A rising total can hide a falling category. Microsoft’s Flint-interactive offers a timely reason to ask for charts you can explore.
A community newsletter shows how reusable instructions, templates and checks fit together—and what a portable skill still needs from its host.
No technical background needed. Follow the question and see where it leads.
A new local AI release raises a practical question: which parts of an assistant can stay on your computer, and which still reach the internet?
Mistral’s Voxtral 3 release puts a familiar frustration in focus: how does a voice assistant know whether you have finished speaking?
Mistral’s new Timestral models offer a reason to look beyond a single prediction. An imaginary bakery shows what a forecast range can—and cannot—tell you.
