Knowledge Strategy¶

February 11, 2026
in Human-Centered AI, AI for Science, Knowledge Strategy
3 min read

A scientific companion should strengthen the evidence chain

Google DeepMind has described new results using Gemini Deep Think for mathematical and scientific discovery. The work is another indication that advanced models can contribute more than polished explanations: they can explore candidate approaches, connect ideas, and help experts work through difficult problems.

The most useful interpretation is not that the scientist is leaving the loop. It is that the loop itself can become richer—if the system preserves the evidence needed for expert challenge.

January 22, 2026
in AI Governance, Trustworthy AI, Knowledge Strategy
3 min read

A model constitution is an operating artifact

Anthropic has published a new constitution for Claude. The document is intended to shape how the model understands its role, weighs competing considerations, and behaves when a simple rule does not resolve the situation.

The interesting idea is not that an artificial intelligence system has a constitution. It is that governance becomes more useful when principles are written to support reasoning, implementation, testing, and revision—not merely to announce values.

January 2, 2026
in AI Governance, Knowledge Strategy, Operating Models
3 min read

Governance needs an evidence system

The new year has opened with a practical test for artificial intelligence governance. California's Transparency in Frontier Artificial Intelligence Act (TFAIA), enacted through Senate Bill 53 (SB 53), is now operative. It asks covered frontier developers for published frameworks, safety reporting, incident processes, and protections for employees who raise serious concerns.

The particulars apply to a defined group of companies. The lesson travels much further: a governance commitment is only as real as the evidence an organization can produce when somebody asks how the commitment works.

April 8, 2025
in AI Adoption, Knowledge Strategy, Human-Centered AI
3 min read

Students are showing us what AI adoption actually looks like

Students do not wait for an institutional operating model. They find a useful tool and fold it into the work.

Anthropic's April 8 Education Report analyzes roughly one million anonymized conversations associated with higher education. The study identifies four interaction patterns spanning direct and collaborative problem solving and output creation. It also finds that students frequently delegate analytical and creative work—not only routine recall.

March 24, 2025
in Adversarial Machine Learning, AI Security, Knowledge Strategy
3 min read

Adversarial AI needs a shared language before it needs another tool

Security teams and artificial intelligence (AI) teams can look at the same system and see different attack surfaces. One sees identities, networks, software dependencies, and data flows. The other sees training distributions, model behavior, embeddings, prompts, and evaluation drift.

The National Institute of Standards and Technology (NIST) publishes its adversarial machine-learning taxonomy on March 24 to create a more consistent vocabulary for attacks and mitigations across predictive and generative systems.

February 10, 2025
in AI Adoption, Knowledge Strategy, Operating Models
3 min read

AI adoption begins with tasks, not job titles

Conversations about artificial intelligence and work often begin at the wrong level. They ask which jobs will disappear, then argue over forecasts that are too coarse to guide an actual organization.

Anthropic's first Economic Index, published February 10, analyzes how people use Claude across occupational tasks. The report finds usage concentrated in particular kinds of work and distinguishes between automation, where the model performs a task, and augmentation, where people and the model work together.

November 28, 2023
in Knowledge Strategy, AI Engineering, Operating Models
3 min read

Retrieval-augmented generation is not a knowledge strategy

Amazon Web Services (AWS) has made Knowledge Bases for Amazon Bedrock generally available. The service can ingest organizational documents, create a searchable vector index, retrieve relevant passages, and use them to ground a foundation model's response—with source attribution included.

Managed retrieval removes a meaningful amount of engineering work. It does not decide which organizational knowledge should be trusted.

November 6, 2023
in AI Governance, Knowledge Strategy, Product Management
3 min read

GPTs turn prompting into configuration management

At its first developer conference, OpenAI has introduced generative pre-trained transformers (GPTs): custom versions of ChatGPT that can combine instructions, uploaded knowledge, and selected capabilities for a particular purpose. People can build them without conventional programming and share them inside an organization or, eventually, through a public store.

This will make useful experimentation easier. It will also turn a large number of informal prompts into organizational configurations that can affect real work.