About pfffp
Masthead & methodology
In an era of synthetic noise, we curate the ground truth.
pfffp is an independent AI intelligence publication built to cut through vendor marketing, benchmark saturation, and hype. We track the real frontier of artificial intelligence across model architectures, autonomous systems, open-source engineering, and emerging regional hubs often ignored by Western tech press.
Core editorial standards
03 pillarsEmpirical verification
We stress-test claimed benchmark numbers against real-world and independent evaluations — SWE-bench, METR, hallucination suites and human feedback — and publish the gap.
Regional depth
Beyond Silicon Valley press releases, we report on grassroots AI ecosystems: from Nairobi and @iLabAfrica to Shenzhen, Bangalore and Europe.
Editorial independence
Unsponsored, critical analysis. No model sponsorships, no pay-to-play rankings, no launch-day superlatives we cannot trace to evidence.
The masthead
From the editor's desk
Stephan Dhilon
Editor-in-Chief & Founder
“We built pfffp because the AI conversation had become a marketing channel. Readers deserve measurements, context and scrutiny — not launch-day superlatives. Every claim on this site should be traceable to evidence, and every headline benchmark should be read next to its real-world gap.”
Methodology
Platform architectureHow pfffp works
Pipeline · 3 stages
- 01
Discovery & ingestion
Outlets, lab blogs and research feeds are monitored continuously, filtered for genuine frontier signal rather than press-release volume.
- 02
Verification & delta
Every item is classified, deduplicated and checked against independent benchmarks and primary sources before it reaches the desk.
- 03
Curated signal
We publish the context that matters — capability timelines, disparity trackers and regional reporting — with the noise stripped out.