All Articles

Moltbook’s viral surge revealed lively agent chatter but little durable knowledge. This article explains why the platform produces noise, the security and provenance risks, and how to design for real knowledge.

Introduction As large language model (LLM)-based multi-agent systems scale from toy demonstrations to production deployments, a fundamental design question emerges: how should agents communicate with each other? The default approach—letting every agent talk to every other agent—works fine with...

Stop Optimizing RMSE Alone: How to Evaluate Scientific AI Systems for Real Decision Value > Perspective: I am bullish on ML for science, but skeptical of benchmark-driven claims that ignore physical validity and downstream decision impact. In scientific workflows, a model is useful only if it is...

Differentiable Simulators + Foundation Models: A Practical Stack for Learning-Accelerated Domain Science > Perspective: I favor hybrid systems that combine first-principles simulators with machine learning, rather than replacing physics with black-box models. In scientific settings, reliability and...

The Problem No One Wants to Talk About Large language models have quietly become competitive machine translation systems. GPT-4, Claude, Gemini — they all translate between dozens of language pairs with fluency that often matches or exceeds dedicated MT systems like Google Translate or DeepL. For...

Building Effective AI Agents: Core Principles and Design Patterns AI agents represent a fundamental shift in how we interact with artificial intelligence. Rather than simple query-response systems, agents can reason, plan, use tools, and accomplish complex multi-step tasks autonomously. This...

LinkedIn endorsements are a low-effort social token — noisy, gamable, and not a reliable measure of competence. Replace clicks with reproducible artifacts and contextual recommendations.

Large pre-trained word embeddings are a cornerstone of modern NLP, but their memory footprint is a real deployment bottleneck. A standard 300-dimensional GloVe vocabulary of 2 million tokens consumes ~2.4 GB in float32. On mobile devices, edge hardware, or in multi-model serving environments, this...

For centuries, the world's great wine regions existed in geographic certainty. That certainty is vanishing -- and the speed at which it is disappearing has alarmed an industry built on the romance of permanence.

The vast majority of sustainability claims in fashion are misleading or fabricated. A deep dive into the tactics brands use to appear eco-friendly while continuing business as usual, and what consumers can actually do about it.

After seven years studying refugee integration in 15 European countries, the evidence is clear: language programs, labor market access, and housing policy determine whether integration succeeds or fails. The strongest predictor is how quickly refugees transition from being managed as cases to being treated as future citizens.

After five years studying prisons across Norway, Sweden, Denmark, and Finland, the comparative data on recidivism, cost, and rehabilitation outcomes presents a devastating case against America's retributive model of incarceration.

Agentic AI can adapt to individual workflows and orchestrate tools — a capability that could replace many SaaS experiences within five years, though legacy, governance, and trust issues will slow full displacement.

Mondragon Corporation has demonstrated for nearly seventy years that worker cooperatives are productive, resilient, and equitable — the barriers to wider adoption are structural, not inherent to the model itself.

The gap between what was promised and what has been delivered in autonomous vehicles is not merely a story of delayed timelines. It is a story of fundamental misunderstanding about what driving actually requires and how technology scales.

The United States has the highest maternal mortality rate among wealthy nations, with Black women dying at 2.6 times the rate of white women -- even in the best-resourced hospitals. Evidence-based solutions from California's safety bundles to community doula programs show this crisis is preventable.

In 2018, He Jiankui shocked the world by editing twin embryos with CRISPR. Years later, the ethical questions he raised have only grown more complex as the technology improves and regulatory frameworks struggle to keep pace.