Link*Log
Google DeepMind Finds a Fundamental Bug in RAG: Embedding Limits Break Retrieval at Scale – MarkTechPost
Retrieval-Augmented Generation (RAG) systems generally rely on dense embedding models that map queries and documents into fixed-dimensional vector spaces. While this approach has become the default for many AI applications, a recent research from Google DeepMind team...
(7) Enterprise Architecture 4.0: The AI Agent Reference Architecture | LinkedIn
The reference architecture for agentic AI is simple yet deep: perception sees what’s out there, cognition figures out what to do, action makes it happen, learning improves the next step, memory remembers what has happened. Go to Source
The Danger of Letting AI Copilots Fly Solo
AI copilots transform work, but overreliance can lead to mistakes, compliance breaches and lost trust. Discover warning signs and best practices. Go to Source
A call to action for banks in the AI age – Capgemini
Intelligent platforms and partnerships can help reduce treasury pain points across sectors Go to Source
Why shadow AI could be the secret to fixing your company’s failing AI projects | ZDNET
Most enterprise AI pilots fail due to flawed short-term strategies focused on cost-cutting. Here's how business leaders can build AI readiness and long-term value. Most enterprise AI pilots fail due to flawed short-term strategies focused on cost-cutting. Here's how...
Management Genius: Dr. Deming’s Theory of Profound Knowledge – Intelligent Management –
What if everything you thought you knew about management was wrong? Dr. Deming is a constant source of transformational knowledge. Dr. W. Edwards Deming, the man who helped transform post-war Japan into an economic powerhouse, believed that most organizations are...
Can a machine be just?
In spite of its intuitive appeal, AI is not necessarily better than humans at resolving employment disputes Go to Source
TBM 376: Why Are We Organized Like This? – by John Cutler
This post is about understanding why your company is organized and designed the way it is. Which of these nine patterns looks familiar? Go to Source
How one CEO used AI to scale himself – Fast Company
CEOs appear to love artificial intelligence (AI). Nearly 95% of chief executives and founders running Inc. 5000 companies—the fastest-growing privately held businesses in the U.S.—say they are optimistic about AI’s potential to run their operations. That’s up from 91%...
The destination for AI interfaces is Do What I Mean (Interconnected)
Posted on Friday 29 Aug 2025. 840 words, 10 links. By Matt Webb. David Galbraith has a smart + straightforward way to frame how AI will change the user interface. Go to Source

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Recent Briefings
Collaborative Architectures for Agents, People & Machines
We are working on some innovative learning projects to help leaders understand what agentic AI could mean for their roles and their organisations, and to help with readiness for adoption; so I have been reading about overcoming barriers and blockers relating to...
The Growing Importance of Context Engineering for Leaders Adopting AI
We have been thinking a lot recently about how to help business leaders understand, direct and deploy AI in their organisations without needing to become technical domain experts. Traditional approaches to learning, change and technology adoption increasingly feel...
Will AI be ‘Winner takes it all’ or General Purpose Technology?
In a week where more than one leading LLM seems to be creaking at the seams, suffering capacity issues or even going backwards in terms of output utility, it is worth re-stating why we think it is worth focusing on enterprise AI over consumer AI, and why we think it...
Codifying Rulesets in the Explainable Enterprise
The launch of Kimi’s K2 model was perhaps the most noteworthy AI-related news item of the past couple of weeks, and an indicator of the growing investment efficiency gap between China and the United States. Azeem Azhar’s coverage of the model and its implications,...
Is Enterprise AI Ultimately Less Risky than Consumer AI?
The debate about AI risks and potential harms is starting to bifurcate into the kind of toxic polarisation we are now used to seeing in politics, economics and other areas of life, amplified by online echo chambers. In addition to technical critics like Gary Marcus,...
Can Learning Help Overcome the AI Capability-Absorption Gap?
We are reaching a curious time for enterprise AI adoption. Organisational AI readiness is advancing far slower than the technology, and yet more and more large firms are warning employees that their jobs are likely to disappear or be transformed by automation and...
Agentic AI Needs Strong Foundations
The respected American venture capitalist Mary Meeker recently shared her first internet trends report since 2019, focused on AI and its future. It runs to 340 slides (with center-aligned text … grrr!), so it takes time to absorb. But in addition to its meta-level...
New Models and Old Challenges
It has been a busy couple of weeks for analysts covering new AI launches, with some impactful new models and agentic systems being announced that add up to a significant advance in capabilities. Hot on the heels of announcing Gemini 2.5 Pro, Google announced AI Mode...
Making the Invisible Visible
There was a quiet but era-defining shift last week when Google searches in Safari declined for the first time as a result of more people switching to AI tools for finding information. This could have far-reaching consequences both for Google and also for Apple, who...
The AI Space Race Could Benefit us all, But Technology Adoption Takes Time
There was another important open model release this week, Alibaba’s QWEN 3, which seems to be an impressive release that relies on strong reasoning capabilities to bring up its benchmark scores. As Nathan Lambert explains, the variety of post-training methods being...