The Context Workspace: Where Enterprise Intelligence Lives
Most enterprises do not have a shortage of knowledge. In fact, they are inundated with new information every day. Yet modern organizations often find…
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AI and the Hype Cycle: Are We Approaching the Trough of Disillusionment?
Questions are being raised about the AI payoff outside the S&P 7. Are enterprises investing in technology before redesigning workflows, preparing their data, establishing…
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Neurosymbolic AI: When AI Learns to Think and Follow the Rules
Neurosymbolic AI combines the power of deep learning neural networks with the logical, rule-based reasoning of symbolic AI.
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Neuralese Recurrence: When AI Stops Thinking in Words
What Is Neuralese? The term Neuralese predates today’s LLM discussion. In AI research, it originally described learned communication between artificial agents: instead of exchanging…
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Building Trusted AI Agents: Trust, but Architect for Distrust
Trust Has Always Been the Foundation Trust quietly underpins much of human activity. We trust people to honor commitments, banks to safeguard money, automobiles…
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Do LLMs Have a Vocabulary for Pain?
A fascinating new preprint, “The Pain Axis: LLMs Represent Self-Directed Harm and Act to Relieve It,” explores whether large language models internally represent something…
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Enterprise Context: Your Competitive Advantage Isn’t the Model
As enterprise AI adoption accelerates, organizations are gaining access to many of the same increasingly capable models. A frontier model available to one enterprise…
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Context Engineering: Turning Enterprise Knowledge into AI Intelligence
In the previous post, we introduced the Context Workspace as a living body of enterprise knowledge, relationships, policies, experiences, and objectives, a shared environment…
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The AI Cloud Math May Be Changing. Enterprise AI Architecture Should Change With It.
A recent MarketWatch article, “The AI cloud math is broken, and it’s creating a power shift within Big Tech”, is worth reading for anyone…
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Context Is All You Need: The Next Frontier of Enterprise AI
For the past several years, the AI conversation has largely centered on the models, bigger models, more parameters, stronger reasoning and better performance. But…
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