Profile 8 min read Free

Lessons from David Rudnitsky

Lessons from David Rudnitsky David Rudnitsky built the sales engine that took Salesforce from $25 million to over $5 billion in revenue. Marc Benioff later...
Profile 7 min read Free

Lessons from Mark Cranney

Lessons from Mark Cranney Mark Cranney built the enterprise sales engines for Opsware, SignalFx, and Skydio. As a founding operating partner at Andreessen...
Profile 7 min read Free

Lessons from Brian McCarthy

Lessons from Brian McCarthy Brian McCarthy is a Chief Revenue Officer who led sales through rapid growth at Rubrik, ThoughtSpot, and AppDynamics. He builds...
Research Explainers 16 min read Free

Situational Awareness Is the AI Acceleration Thesis in One Place

Leopold Aschenbrenner's Situational Awareness argues that AGI by 2027, superintelligence, trillion-dollar clusters, lab security, and government mobilization follow from the same trendlines. Reading it as a unified acceleration thesis makes its assumptions and policy implications easier to test.
Research Explainers 7 min read Free

Pluralis Is a Bet That AI Needs a Protocol, Not Another Lab

An essay on Pluralis argues that decentralized AI needs scalable training, defensible monetization, and governance for intelligence outside the major labs. The piece tests whether distributed infrastructure can create a credible alternative to centralized model ownership.
Research Explainers 7 min read Free

Better Agent Interfaces Can Beat Better Agent Weights

Life-Harness argues that many agent failures come from the runtime interface, not the model, and shows frozen models improving across tasks when the harness changes. It shifts attention toward interfaces, tools, feedback, and execution design.
Research Explainers 7 min read Free

OpenClaw Shows Why Agent Security Is a Product Problem

A security survey uses OpenClaw to argue that agent security is not a patch list but a product, architecture, ecosystem, and governance problem. The framework connects individual exploits to the permissions and incentives built into the surrounding system.
Research Explainers 7 min read Free

Prompt Engineering Wants to Become Compilation

DSPy argues that language-model systems should be written as modular programs and optimized by compilers, not assembled from fragile hand-written prompt strings. The approach replaces manual prompt tweaking with explicit objectives, evaluation data, and systematic search.

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