Link*Log
Treating enterprise AI as an operating layer | MIT Technology Review
The organizations most likely to shape the enterprise AI era are those that can embed intelligence directly into operational platforms. Go to Source
What if World Models and Quantum Computing complemented LLMs?
I envision a world where LLMs are complemented by many types of AI, Quantum computing and a convergence of new kinds of computing architectures. For all the book smarts of LLMs, they currently have little sense for how the real world works and there’s a growing list...
Intent-Based Access Control(IBAC) for Coding Agents
Traditional access control was built for humans clicking through UIs. It doesn’t translate cleanly to natural language prompts issued to autonomous agents. “Clean up the old deployment” means something very different coming from a DevOps engineer versus an HR analyst...
The 2026 AI Index Report | Stanford HAI
At Stanford HAI, we believe AI is poised to be the most transformative technology of the 21st century. But its benefits won’t be evenly distributed unless we guide its development thoughtfully. The AI Index offers one of the most comprehensive, data-driven views of...
You Are Not a Function – by Brendan McCord
As Prussia began rebuilding from the wreckage, most people assumed it needed more officers, administrators, and engineers. People who could do things. The task of designing the new system of education fell to a thirty-two-year-old diplomat named Wilhelm von Humboldt....
The Most Misunderstood Layer in Enterprise AI: Why Constraints Define Real Decision Systems | by Sandeep Panigrahi | Apr, 2026 | Medium
If constraints are not designed into the system, they will be applied manually. If they are applied manually, they will be inconsistent. And if they are inconsistent, the organization is not scaling AI. It is distributing risk across people instead of controlling it...
Agents don’t know what good looks like. And that’s exactly the problem. – O’Reilly
Every few years, something arrives that promises to change how we build software. And every few years, the industry splits predictably: One half declares the old rules dead; the other half folds its arms and waits for the hype to pass. Both camps are usually wrong,...
Plaid Integration Provides Full View of Personal Finances
Major investment firms, retail traders, and six of the Mag 7 use Perplexity for financial work. Perplexity is also a personal finance hub. More than 75% of Perplexity users visit monthly to ask financial questions. Today, through the financial data network Plaid,...
The Death of the “Role”: Why Workflows Beat Headcount
Most businesses operate on a fundamentally flawed assumption: they think they need to hire for “roles”. You write a job description for a “Marketing Manager”. You interview candidates. You hire someone, hand them a laptop, and pay them a salary to sit in a designated...
The Course Is Dying as the Unit of Learning
The data has been telling us for years that formal courses are a small, leaky part of the learning picture. AI doesn’t change that story. It removes our excuses. It makes it easy to delegate weak course designs to agents, revealing how empty they always were. It makes...
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Recent Briefings
Agents at the Ready? Yes and No…
Agentic AI capabilities are developing within several pace layers at once - economic, infrastructure, capability readiness, and knowledge engineering - and it is getting harder to stay on top of these developments whilst tracking their interdependence. But...
Agents of Progress or Agents of Chaos?
The OpenClaw moment we covered a few weeks ago was a wild ride. But in the age of YOLO, Hodl and r/wallstreetbets, it should come as no surprise that there is an apparently limitless supply of people willing to hand over control of their personal computer to AI agents...
Agents on the Night Shift
Andrej Karpathy’s new autoresearch tool recently ran 700 experiments on his nanochat codebase in two days. It found 20 improvements he had missed, delivering an 11% uplift in output. Tobi Lütke at Shopify tried it on his own hand-tuned model: 19% improvement,...
Humans in the Loop or in the Soup?
Enterprise AI governance, security and safety are challenges that will require a multi-domain approach and imaginative solutions that combine technology, human factors, knowledge engineering and codification. These are issues that cannot just be delegated to CSOs and...
Extraction vs. Redesign: The Hidden Fork in the Road for AI Leaders
This article is published as a free sample of the Shift*Academy paid edition. Every other week, the paid edition explores the structural implications of AI for leadership, organisational design and enterprise capability, with practical deep dives for leaders...
Schrödinger’s Optimism: AI and Productivity Signals
Schrödinger’s Optimism Reading news stories about the US stock market dip at the end of last week, you might think that serious economic and technology analysts are uncertain about the impact of AI on business and productivity. Selling or buying stocks is quite a...
How We Survived the Agent Apocalypse
An Agentic False Dawn? If you are reading this, then the agent apocalypse didn’t happen, or perhaps my disembodied brain is being used as an agentic personality source connected to the mainframe in Vault 0. I am old enough to remember the heyday of Moltbook -...
Claude Code, but for Management
In the past couple of weeks, more developers have declared that Claude Code, the leading AI model for software development, is now good enough that they no longer need to code manually. This is quite something, and if Claude Code can live up to this promise, this will...
Re-Focusing Leadership on AI Readiness & Enablement
Why Focus on AI-Enabled Organisational Change Rather Than Just Technology? As we look ahead to another year of rapid technology-driven change in business and society, it is a good moment to separate the wood from the trees and focus on medium-term goals. Generative AI...
Can AI Help Reverse the Oversimplification of Management?
As we look forward to a new year, it is worth zooming out momentarily from the frenetic race between AI models to focus on some of the enablers, blockers and wider changes that will determine whether organisations are able to use this technology effectively. We now...
