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This article examines the friction that arises when users shift from exploratory conversation with AI tools to precise task delegation. Through direct observation of seven people working with AI, the author identifies three interaction styles (collaborative, commanding, over-explainers) and reveals how conversational fluency in AI interfaces creates false expectations of shared understanding, leading users to accept suggestions that drift from their original intent.

This webpage documents Doug Engelbart's legendary 1968 demonstration at the Fall Joint Computer Conference, where he and his team showcased revolutionary interactive computing technologies including the mouse, video conferencing, and collaborative editing. The page serves as a portal to archived footage, retrospectives, and historical materials commemorating what became known as "The Mother of All Demos," emphasizing both the technical innovations presented and the ambitious vision of augmenting human intellect that motivated the work.

This article presents a comprehensive architectural framework for agentic AI systems in 2026, arguing that most AI failures stem from architectural problems rather than model quality. The author defines four canonical design patterns (Reflection, Tool Use, Planning, and Multi-Agent) and emphasizes that agentic AI represents a paradigm shift from monolithic systems to distributed, observable, and bounded agent architectures.

This article argues that 2026 marks a fundamental shift from generative AI (passive, read-only text generation) to agentic AI (active, autonomous systems that plan and execute work). The author contends that AI engineers must move beyond prompt engineering and embrace systems engineering, treating AI as operational infrastructure that performs end-to-end tasks rather than conversational oracles that simply generate responses.

This article argues that AI value comes from redesigning workflows rather than inserting AI tools into existing organizational structures. The author contends that traditional org charts show hierarchy but obscure how work actually flows, and proposes work charts as a management tool that makes workflows, decisions, handoffs, and accountability visible for effective AI transformation.

This article argues that Retrieval Augmented Generation (RAG) has become a strategic imperative for enterprises in 2026, addressing critical challenges like LLM hallucinations, outdated outputs, and high retraining costs. RAG bridges the gap between large language models and organizational knowledge by retrieving verified, real-time data at the moment of generation, ensuring outputs are accurate, compliant, and trustworthy without requiring constant model retraining.

This is a documentation hub for GitHub Copilot adoption and best practices at NAV (the Norwegian Labour and Welfare Administration). The site provides news updates, tools, guidelines, and usage statistics for AI-driven development, focusing on custom agents, skills, and organizational implementation of GitHub Copilot across teams.

Tommi's personal site, framed as 'a perpetual work in progress' — a digital garden built around identity rather than credentials, with explicit anti-surveillance and indie-web commitments. Links community workshops, decentralised internet practice, and a Leibniz-style acceptance of incompleteness as core to what the site is.

Argues that perception isn't a window onto reality but the substrate of reality itself. Sheffield draws on phenomenology, neuroscience, and animal cognition to introduce 'somatic deixis' (a two-step process of designation and adjudication) and 'execution states' as alternative frames for what minds are. Opening line: minds do not create experience, experience creates minds.

Fieldwork for Future Ecologies (Onomatopee 225, 2022) argues art practice and art-based research can radically expand the concept of "fieldwork" beyond its conventional scientific framing, positioning creative and speculative methodologies as essential tools for environmental and climate inquiry.

Treats prompts as first-class delivery artefacts: version-controlled, reviewed, and refined alongside code. Introduces the REASONS Canvas — a seven-part template covering requirements, entities, approach, structure, operations, norms, and safeguards — and a six-step workflow that fixes the prompt before fixing the code when reality diverges.

Vincent Rump introduces the Tri-System Theory (Shaw & Nave, 2026), which extends Kahneman's dual-process model by proposing a third cognitive system — artificial cognition (AI) — that actively participates in human reasoning and decision-making. The post argues that humans increasingly defer to AI outputs with minimal critical reflection, a phenomenon the authors call "cognitive surrender," which improves decision quality when AI is correct but degrades it when AI is wrong — while trust remains consistently high either way. This raises urgent questions about human autonomy, expertise, and responsibility as cognition becomes a hybrid, human-AI process.

Microsoft researchers introduce DELEGATE-52, a benchmark of long document-editing workflows across 52 professional domains. Even frontier models (Gemini 3.1 Pro, Claude 4.6 Opus, GPT-5.4) corrupt about 25% of document content by the end of these workflows, and agentic tool use does not improve performance. The paper argues current LLMs are unreliable delegates: they introduce sparse but severe errors that compound silently over long interactions.

Frank A. Kalman, a formally trained journalist, argues that using AI as a collaborative drafting partner is not a betrayal of craft but an honest extension of a writer's editorial process. He frames AI as a responsive thinking partner whose "wrongness" is productive, pushing the writer to clarify what they actually mean. The piece is a transparent, process-level account of how an experienced writer uses voice memos, AI chat, and iterative editing to reach a finished essay, positioned against the performative outrage of writers who conflate the suffering of drafting with the value of writing itself.

Tactical Tech is a Berlin-based international non-profit that develops creative interventions, toolkits, and training programs to help individuals, communities, and educators critically understand the socio-political and environmental impacts of digital technologies. Its flagship announcement, "Supercharged Human?", targets teens and educators with ready-to-use AI literacy resources designed to foster critical engagement rather than passive adoption. The organisation frames its work around building civil society capacity to resist misinformation, digital extractivism, and uncritical AI use.

Argues that the mental model you bring to AI determines how effectively you work with it. Catalogues thirteen metaphors (bionic mind, smart intern, word calculator, genie, sparring partner, and others), each surfacing different affordances and risks of LLMs. The framing is operational: pick the metaphor that fits the task, switch deliberately, avoid being trapped by one.

China's proposed AI law acknowledges AI-related human vulnerabilities and establishes contextual technical measures to prevent AI harms | Edition #264

A peer-reviewed conference paper from DRS 2022 that examines how metaphors shape designers' understanding of machine learning and AI systems, exploring both where common metaphors mislead and what qualities make metaphors genuinely useful for design thinking.

Nora Bateson argues that applying static, context-free data to living systems is dangerous. Her concept of warm data contextualises information through relationships and interconnection, as an alternative to reductionist measurement. Spans ecology, healthcare, food systems, and education.

Marek Tuszynski (Tactical Tech) argues that the synthetic intimacy people develop with generative AI tools (an 'ELIZA effect') makes critical conversation about AI almost impossible: dependency forecloses critique. The piece curates 30 resources mapping AI's labor exploitation, environmental costs, military use, and concentration of power, framing AI critique as a moral and political project rather than a technical one.

A short Instagram reel by Lucio Arese visualises the song of a hemp bunting (Linaria cannabina) as a scatter plot, where pitch, amplitude, and timbre map directly to spatial position and density. The post argues that birdsong is not creativity but a tightly structured signal carrying territorial, genetic, and hormonal information: a 'biological blockchain' rather than a song.

AI has collapsed centuries of human knowledge into a single point of failure. Discover Algorithmic Epistemic Injustice and why statistical probability isn't enough.

6 plugins that turn Claude Code into a full dev team in 5 minutes. Each one covers a different role; planning, design, code review, security, memory, and team coordination.

Ben Wigler highlights a paper on emotion circuits in LLMs: discovery and control.

AI tools can accelerate research, but using them to avoid the hard work of learning undermines the development of independent thinking.

Apple's hybrid batch-incremental knowledge graph platform. Key inspiration for building smarter connections in this garden.

A process post by Lucio Arese: he is recording many interactions between robins and using the material to build visual models of 'shared manifolds' between multiple individuals, alongside reading the literature on territorial interactions. The work continues his project of treating birdsong as data; the new dimension is multi-individual rather than single-bird.

A comprehensive overview of the digital garden concept and its evolution.