More clarity.
Less noise.
Help people understand useful AI developments, see the evidence behind the claims, and choose what deserves their attention.
A clearer view
of what’s next.
AI moves fast. Understanding it shouldn’t feel like keeping up with everything.
More clarity.
Built for people
who build.
Nathan’s goal is to build and ship useful software. PULS brings that practical focus to AI news: what changed, why it matters, and what you can actually do with it.
It starts with a private Founding 48 beta—not a race to publish more headlines.
Editorial process
Find
Look for useful AI developments.
Check
Trace claims to original papers, code, and announcements.
Assess
Separate evidence from claims and uncertainty.
Explain
What happened, why it matters, and what’s next.
Select
No fixed story quota.
Evidence labels
Confidence and source type are separate. A verified announcement is not proof that a product works as promised.
The specific core claim is independently established. Not assigned merely because a vendor says so.
Supported by linked primary reporting or announcements, with testing or verification limits stated.
Not established, including legacy drafts whose citations have not been reverified.
Standards
Correct errors transparently.
Explain risks without enabling harm.
Keep published editions independent of personal preferences.