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EnglishIs konstantinkakaes.com a good source for math and AI news?
Updated
konstantinkakaes.com is a personal clips archive, not a news outlet. It collects articles and podcast appearances by Konstantin Kakaes, mostly published by Quanta Magazine, on mathematics, artificial intelligence, and related science and technology topics. It is a good source if you want to follow one writer's selected coverage of math and AI; it is not the place to go for original breaking news, since the pieces link out to where they were first published.
What the site actually is
The site describes itself as "Clips by Konstantin Kakaes." Its structure is simple: a running list of entries, each with a title, date, short description, source link, and category tags. The homepage excerpt shows entries dated from March to September 2026, covering topics such as:
- AI and the Millennium Prize Problems (Navier-Stokes equations)
- A Fields Medal profile of mathematician John Pardon
- The AI revolution in mathematics, including a podcast conversation
- Work by Peter Scholze and Dustin Clausen on rebuilding mathematics
- Alexander Grothendieck's contributions to 20th-century mathematics
- A review of "Open Space" on satellite technology and communication
Each entry credits the original publication, most often Quanta Magazine, and links to it.
Who it is for
This site fits a specific reader:
| Reader goal | Does the site serve it? |
|---|---|
| Follow Konstantin Kakaes's published work | Yes — that is its purpose |
| Find curated math and AI reading | Yes — entries are tagged and dated |
| Get original, first-hand news reporting | No — items link to other publications |
| Read full articles on-site | No — content lives at the source outlet |
| Browse by broad topic | Partly — entries carry category and tag labels |
If you already read Quanta Magazine, this site works as a filtered index of one contributor's pieces. If you want a general news feed, a dedicated science or math publication will serve you better.
How to use it
- Open the homepage and scan the dated entries, newest first.
- Read the short description under each title to judge relevance.
- Use the category and tag labels (for example, "Mathematics," "Artificial Intelligence," "Quanta Magazine") to spot themes.
- Follow the source link to read the full piece at the original publication.
- Check the "about" and "contact" pages for context on the author.
The expected result is a quick sense of what this writer has published recently and where to read it — not a full article on the site itself.
Limits to keep in mind
- No original hosting. The site is an archive of clips; the substance is at Quanta and other outlets.
- No pricing or access information is stated on the page. Whether linked articles are free or paywalled depends on the destination site, so check there.
- Update rhythm follows publication, not a news cycle. New entries appear when the author publishes elsewhere.
- Topic range is narrow by design. It centers on mathematics, AI, and adjacent science and technology coverage.
Bottom line
Use konstantinkakaes.com as a lightweight tracking page for Konstantin Kakaes's math and AI writing, especially his Quanta Magazine work. For the articles themselves, and for anything beyond this author's output, go to the original publications.