Some ideas about how to encode our values into the tools we use
values based software talks
Talk #3 Files, algorithms, media, software as lived practice, and personal software
Local-first Software
Exploring software architecture that returns data to users and enables collaboration in every tool.
We Can Just Build Things
Build the tools your community needs — production-grade, privacy-respecting freedom tech, made with an AI agent and grounded in a verified, values-aligned catalog (Nostr, AT Protocol, and beyond).
Building personal tools by programming
“I think there’s a lot of value in these.” – Unsung
A blog about software craft and quality
The Local Relational Technologist
Who can we rely on for meaningful software in our communities?
Varv: Reprogrammable Interactive Software as a Declarative Data Structure
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Sustainable software manifesto
The systems we build are never neutral. They can magnify harm or support a just and sustainable society. How we build today shapes tomorrow’s possibilities.
Values in the Wild: Discovering and Analyzing Values in Real-World Language Model Interactions
AI assistants can impart value judgments that shape people's decisions and worldviews, yet little is known empirically about what values these systems rely on in practice. To address this, we develop a bottom-up, privacy-preserving method to extract the values (normative considerations stated or demonstrated in model responses) that Claude 3 and 3.5 models exhibit in hundreds of thousands of real-world interactions. We empirically discover and taxonomize 3,307 AI values and study how they vary by context. We find that Claude expresses many practical and epistemic values, and typically supports prosocial human values while resisting values like "moral nihilism". While some values appear consistently across contexts (e.g. "transparency"), many are more specialized and context-dependent, reflecting the diversity of human interlocutors and their varied contexts. For example, "harm prevention" emerges when Claude resists users, "historical accuracy" when responding to queries about controversial events, "healthy boundaries" when asked for relationship advice, and "human agency" in technology ethics discussions. By providing the first large-scale empirical mapping of AI values in deployment, our work creates a foundation for more grounded evaluation and design of values in AI systems.
Designing and Programming Malleable Software
User needs for software features and interfaces are diverse and changing, motivating the goal of making it as easy as possible for users themselves to change software, or to have it changed on their behalf in response to their developing needs. However, in my opinion, current approaches do not address this issue adequately: software engineering promotes flexible code, but in practice this does not help end-users effect change in their software. End-user and live programming systems help users customize their interfaces by accessing and modifying the underlying source code. I take a different approach, seeking to maximize the kinds of modifications that can take place through regular interactions, e.g. direct manipulation of interface elements. I call this approach malleable software. To understand contemporary needs for and barriers to modifying software, I study how it is produced, maintained, adopted, and appropriated in a network of communities working with biodiversity data. I find that the mode of software production, i.e. the technologies and economic relations that produce software, is biased towards centralized, one-size-fits-all systems. This leads me to propose a long-term, interdisciplinary research program in reforming the tools of software development to create infrastructures for plurality. These tools should help multiple communities collaborate without forcing them to consolidate around identical interfaces or data representations. Malleable software is one such infrastructure, in which interactive systems are dynamic constellations of interfaces, devices, and programs assembled at the site of use. My technological contribution is a reconstruction of the programming mechanisms used to create interactive behavior. I generalize existing control structures for interaction as entanglements, and develop a higher-order control structure, entanglers, which produces entanglements when particular pre-conditions, called co-occurrences, are met. Entanglers cause interactions to be assembled dynamically as system components come and go. I develop these mechanisms in Tangler, a prototype environment for building malleable interactive software. I demonstrate how Tangler supports malleability through a set of benchmark cases illustrating how users can modify systems by themselves or with programmer assistance. This thesis is an early step towards a paradigm for programming and designing malleable software that can keep up with human diversity.
The Case for Software Craftsmanship in the Era of Vibes
From the Zed Blog: Working toward genuine, quality software in an era where code production is not the constraint anymore.
From Users to (Sense)Makers: On the Pivotal Role of Stigmergic Social Annotation in the Quest for Collective Sensemaking
The web has become a dominant epistemic environment, influencing people's beliefs at a global scale. However, online epistemic environments are increasingly polluted, impairing societies' ability to coordinate effectively in the face of global crises. We argue that centralized platforms are a main source of epistemic pollution, and that healthier environments require redesigning how we collectively govern attention. Inspired by decentralization and open source software movements, we propose Open Source Attention, a socio-technical framework for "freeing" human attention from control by platforms, through a decentralized eco-system for creating, storing and querying stigmergic markers; the digital traces of human attention.
Value Pairs: A New Way of Approaching Product Development
How AI-enabled teams can change how we think about product development
Malleable Software in the Age of AI - Geoffrey Litt
Andrej Karpathy: Software Is Changing (Again)