RESEARCH
Where primary sources meet original analysis — long-form research on markets, technology, and economics.
Why “research” means something specific here
"Research" is one of the most abused words in online publishing. A summary of three threads is not research. Here it means something specific: original analysis built on primary sources, with the methodology visible and the conclusions held open for revision.
What we publish
Every piece starts from the source material, not someone else’s summary of it.
- AI coverage drawn from arXiv preprints, lab technical reports, and peer-reviewed work — read in full before we write about a model or capability.
- Technology analysis that tracks patents, regulatory filings, and corporate disclosures, and follows the researchers whose work reaches production years later.
- Economic analysis that engages academic economics as a tool — covering forecasts with explicit attention to methodology and historical accuracy.
Our standards
Rigor is the difference between an opinion and a finding.
- Methodology is visible: we show how a conclusion was reached, not just the conclusion.
- Disagreement is specific: when we reject the mainstream reading of a result, we say exactly why.
- Uncertainty is honest: we are explicit about what we do not yet know.
What we don’t do
Long-form is the default — and length is earned, never padded.
- No rewriting of other people’s takes.
- No summarizing threads and calling it research.
- No padding a 1,200-word idea to 4,000 for word count — or compressing a 4,000-word subject to fit a template.
Latest Deep Dives
The iPhone Lifecycle: From Strategy Room to Recycling Robot
An iPhone is decided years before it exists and returned years after it stops working. This guide walks all 20 stages, names the outside force at each one, and shows where Apple is most exposed.
Key Takeaways
- The iPhone passes through 20 stages in five phases (decide, prove, source and build, sell, keep and return), and each phase meets a different kind of outside shock.
- A shock hurts in proportion to how early the commitment was made and how slowly it can be substituted. Silicon, memory, assembly sites and rare-earth magnets sit at the worst end of that gap.
- Apple's 2023 to 2026 moves (India assembly, Arizona chips, Kentucky glass, recycled cobalt and magnets) are attempts to shorten substitution time, not to remove dependence.
ASI Research and Development Lab: A Three-Budget Test
Most labs that claim to build superintelligence are scaling labs with a mission statement. Verification and governance spending is the diffe...
Read Article →From AI to SI: The Next Big Thing Is Intelligence
Superintelligence will not arrive as a single announcement. It shows up first where checking an answer costs far less than producing it, and...
Read Article →
The Best Super Intelligence for Every Job: The Verify-Cost Method
The best AI for a job is not the one with the highest benchmark score. It is the one that makes its own output cheapest for you to verify, a...
Read Article →
TheBestSI and the Road From AI Tools to Superintelligence
TheBestSI argues that understanding AI takes more than knowing which product is popular: it means examining what systems can do, how that is...
Read Article →
BestSuperintelligent.com and the Case for Evidence Over Hype
Instead of treating vendor promises as proven performance, BestSuperintelligent.com labels every claim by evidence tier, gives buyers practi...
Read Article →