Humane Technology
When people engage with LLMs, they ask for suggestions, refer to shared history and context, and build on previous responses. Their top expressed need is for systems to have a back-and-forth with them, to help them learn, to help them narrow things down, and to let them know what the system needs to provide better responses.
Michal Lahav • From Prompt Engineering to Collaborating: A Human-Centered ...
You see — if software is to have soul, it must feel more like the world around it. Which is the biggest clue of all that feeling is what’s missing from today’s software. Because the value of the tools, objects, and artworks that we as humans have surrounded ourselves with for thousands of years goes so far beyond their functionality. In many ways,
... See moreThe Browser Company • Optimizing For Feelings
How to Raise Your Artificial Intelligence: A Conversation With Alison Gopnik and Melanie Mitchell
Julien Crockettlareviewofbooks.org
LLMs lack the ability to understand a question or experience from different points of view, though they can, if prompted, generate a simulacrum of differential perspectives. Here’s Breen:
The issue is that generative AI systems don’t want messy perspective jumps. They want the median, the average, the most widely-approved of viewpoint on an issue, a... See more
OpenAI's NextGenAI press release is horse of a different color
Rob Nelson from AI Newsletter
Should such detailed advice be available worldwide to anyone who wants it? I would lean towards no. And while I think Anthropic, OpenAI, and Google are all doing a good job so far at checking for this capability and planning openly for how they’ll react when they find it, it’s utterly bizarre to me that every AI lab will just decide individually... See more
Bryan Walsh • The AI that apparently wants Elon Musk to die
While LLMs continue to devour web-scraped data, they’ll increasingly consume their own digital progeny as AI-generated content continues to flood the internet. This recursive loop, experimentally confirmed, erodes the true data landscape. Rare events vanish first. Models churn out likely sequences from the original pool while injecting their own... See more
Azeem Azhar • 🔮 Open-source AI surge; UBI surprises; AI eats itself; Murdoch’s empire drama & the internet’s Balkanisation ++ #484
View of Automated decision-making as domination
firstmonday.orgBurell (2020) uses Iris Marion Young’s work to argue that instead of thinking of injustice as a lack of fairness, which leads to more precise codes, such as surveilance, we should use oppression and dominion concepts to frame injustice which then puts responsibility on to those that write the code to or use the code to ask different more difficult questions about values. “Rather than a relentless drive to automate and replace humans, we can approach machine learning lookingfor the sorts of opportunities that augment humans, extending their agency” “In considering the possibilities beyond justice-as-distributive-fairness I have made the case that defining justice based on what can be accomplished technically (what can be formalized in equations or implemented in code) gets the proper formulation backwards (Selbst, et al., 2019). Problem definition must not be circumscribed by what can be managed through technical implementations and solutions. Rather we should be asking more fundamental questions. What is ‘the good life’ (Boenig-Liptsin, 2022; Gandy, 2016),what is our duty to each other (Birhane, 2021; Wodajo and Ebert, 2021), what desired qualities of human experience, such as dignity, does justice uphold (Anderson, 1999; Hodson, 2001; Kaminski, 2019) and what is justice?” (From conclusion)
most often, people will begin engaging with all kinds of technology, including GenAI, before they know exactly what they want and need—even before having a specific meaning in mind.
Michal Lahav • From Prompt Engineering to Collaborating: A Human-Centered ...
In the age of AI, it’s more important than ever that we take pleasure in thinking. The purpose of AI is to replace thought. Instead of trying to become more productive, students need to ask themselves questions like: What are the dangers of my interactions with technology? What’s happening to my attention span? How much of what you’ve just written... See more