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EnglishWhat Is konstantinkakaes.com?
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konstantinkakaes.com is the personal clips archive of Konstantin Kakaes, a writer covering mathematics, artificial intelligence, computer science, and technology. The site collects his published articles and podcast appearances, most of them sourced from Quanta Magazine, and organizes them by category and tag. It is worth browsing if you want a single place to follow his work on math and AI; it is not a blog with original commentary or a subscription product of its own.
What you'll find on the site
The homepage presents a dated feed of entries. Each entry typically includes:
- A headline and publication date
- A short summary of the piece
- A source link, often to Quanta Magazine
- Category labels such as clips, Mathematics, Computer Science and Mathematics, Science and Technology, or Podcast
- Tags such as Artificial Intelligence, mathematics, or Quanta Magazine
Navigation is limited to three sections: clips, about, and contact.
Topics covered
The archive centers on a few recurring subjects:
| Topic | Example entries |
|---|---|
| AI and mathematics | Coverage of AI-assisted work on the Navier–Stokes equations, one of the Millennium Prize Problems |
| Mathematics and mathematicians | Profiles of John Pardon, Alexander Grothendieck, Peter Scholze, and Dustin Clausen |
| AI in research practice | A Quanta podcast conversation on how AI is changing math |
| Science and technology | A review of Open Space on satellite technology and private power over communication |
A recurring thread is how AI is changing mathematical research — both its rapid output and the controversy that comes with it.
Who it's for
This site suits readers who:
- Want to follow Konstantin Kakaes's writing without checking each outlet separately
- Are interested in mathematics, AI, or the intersection of the two
- Prefer links to full articles at the original publication rather than reprints
It is less useful if you are looking for original essays, a newsletter signup, or discussion threads — the site functions as a pointer to work published elsewhere.
How to use it
- Open the homepage to see the most recent entries in reverse chronological order.
- Scan the category and tag labels to find a theme, such as Mathematics or Artificial Intelligence.
- Follow the source link in an entry to read the full piece at its original publication.
- Use about for background on the author and contact to get in touch.
What the site does not provide
The available page content shows no pricing, no paywall, and no account or login requirement, but it also shows no explicit statement that everything is free — treat access as simply open browsing of links. There is no evidence of a newsletter signup on this site itself; the newsletter mentioned in one entry is hosted by Quanta Magazine, not here.