No. 72Physical AI

Founders, CTOs and researchers on the problem they are actually solving. Conducted in writing, published as received.
No. 72Physical AI

No. 71Fintech

No. 70Models & Infrastructure
The real moat and secret sauce of our business is the training platform.

Oren Debbi and Yoav Taieb on Why the Image Signal Processor Is Moving to Software
No. 69Agents & Enterprise
The traditional time-and-materials model is effectively dead in an AI-native world.

No. 68Industrials & Climate
Humans must set the definition of fairness because those are value choices, not technical ones.

No. 67Physical AI

No. 66Consumer
Without that, you don’t get a sustainable ecosystem; you get a fraud marketplace.

No. 65Healthcare
An error isn’t noise, it’s a potential harm.

No. 64Industrials & Climate

No. 63Agents & Enterprise
Understanding customers is still the hardest part.

No. 62Models & Infrastructure
The hardest barrier is risk perception tied to accountability, not technology.

No. 61Models & Infrastructure
Misuse risk is real! And high-fidelity human data raises that bar.

No. 60Industrials & Climate

No. 59Models & Infrastructure
Human testing isn’t going away and we don’t think it should.

No. 58Fintech

No. 57Industrials & Climate

No. 56Consumer

No. 55Defense & Security

No. 54Fintech
CRE doesn’t need more data. It needs intelligence.

No. 53Consumer
Teachers aren’t just losing time, they’re losing the energy and insight needed to actually teach.

No. 52Models & Infrastructure
You can’t build reliable systems on rented logic.

Elia Saquand and Alessia Paccagnella on Transparent AI Backends with VibeFlow
No. 51Models & Infrastructure

No. 50Industrials & Climate

No. 49Models & Infrastructure
Founder-sales is a non-negotiable, and something you cannot outsource.

Samim and Tamim Multaheb on AI-Driven Product Alignment with machinemade