Falsehoods Programmers Believe About Names | Kalzumeus Software

Don't Call Yourself A Programmer, And Other Career Advice | Kalzumeus Software

Ten FOSS Development Fallacies For User Facing Software

This is a list, inspired by the Five Geek Social Fallacies, of common patterns or behaviours that developers of free/open source software (FOSS) fall into when they try to develop software for users who are not technical, or for whom non-technical users would be the most obvious userbase. Hopefully writing these down (which frankly is cathartic more than anything) is helpful to some in recognising these thought patterns and avoiding them when developing software - I’ve got some of my own thoughts on this at the bottom.

Sloppelgängers

Superhuman’s CEO sat for an interview about the AI feature that used writers’ names without permission. What he revealed was worse than the feature itself.

"Do What I Mean": Name Resolution in Programming Languages | Will Crichton

Resolving names is a hard problem that permeates many aspects of programming like variable scoping, structured control flow, and method resolution. I show how a few core ideas underlie seemingly disparate parts of programming language design.

Katika Kühnreich (@Katika@chaos.social)

Attached: 1 image #SocialMedia of #realnameregistration , oh sorry, they call it real #humans , that advertises with " #AI " #slop #wsocial is more than problematic And already has #bots crawling it's #network Now they show that they are problematic concerning #aesthetics as well & advertise with tasteless #aislop @bildoperationen@tldr.nettime.org #realnameregistration is highly dangerous & if the company that wants to have your most private data can't save there net from bots they're not very trustworthy, are they? #tech

Perfect Software - Software for an Audience of One

We have many names to describe personal tools. Malleable software speaks to how it behaves. Home-cooked software speaks to who makes it.

The Case Against Formal Verification, 50 Years Later - Ivan Gavran

Writings on software correctness, AI, formal verification, and other technical topics.

Kyle Booten

Noöhacking1 is the title of my current research program. I use this term for ways that artists and everyday digital media users build and repurpose algorithmic tools in order to take care of their own minds/spirits, an especially challenging and important task amidst a digital milieu that seems designed to make us alienated, unintelligent, and miserable.

De-anthropomorphizing “AI”: From wishful mnemonics to accurate nomenclature

Language matters. How we describe “AI” technology influences how it is perceived, deployed, and trusted. Extravagant and persuasive language incites hype. It is the responsibility of journalists, companies, and scholars to characterize technology in ways that inform and empower their readers by using appropriate terminology and avoiding inflated claims. One type of inflated claim comes from using anthropomorphizing language to describe system functionality. Anthropomorphization is the attribution of human capabilities and characteristics to the inanimate system. In this paper, we present a linguistic analysis of anthropomorphizing language in 29 texts (a total of 1,368 sentences) from academic articles, online news articles, and company blog posts. We construct a taxonomy of eight categories of anthropomorphization: Cognizer, Products of cognition, Emotion, Communication, Agent, Human role analogy, Names and pronouns, and Biological metaphors. Following this taxonomy we present concrete strategies for how to de-anthropomorphize the language we use to describe “AI” based on a functionality-first principle.

Joanna Rutkowska (@rootkovska) on X

Distrusts computers. Keeps embracing them anyway. Previously: Golem Foundation/Wildland, Qubes OS, hardware/virtualization/OS security research.

5 Engineering Manager Archetypes

“There are only two hard things in Computer Science: cache invalidation and naming things.” — Phil Karlton Introduction In today’s tech organisations, you find 2 ... Read more

the power of software compels you! - n8

most people do not care about the atproto moral claim

Fake scientific papers made with AI used names of 3 Japan researchers

TOKYO -- A disreputable scientific journal used generative AI to create bogus papers, using the names of three Japanese researchers without permission

Reflections on trusting trust

To what extent should one trust a statement that a program is free of Trojan horses? Perhaps it is more important to trust the people who wrote the software.