Thank you so much for resharing my post, @hyderali678! I love how you captured the importance of engaging in creative and interpersonal activities to help us thrive alongside technology. It's true—fostering these uniquely human skills doesn’t just set us apart from AI, it
ETHICS
-

Digital Trust Paradox: Ethics Technology Human Connection
By
–
As a business leader and digital strategist, I've had the privilege—and the responsibility—to observe and influence this changing digital landscape. In my article, Navigating the Digital Trust Paradox: Reflections on Ethics, Technology, and Human Connection, I explain how we can
-
EU Regulation of AI: Examining Overreach Concerns
By
–
The E.U. Went Too Far https://
stratechery.com/2024/the-e-u-g
oes-too-far/
… -

Karen Hao Discusses AI’s Social and Environmental Impacts with James Plunkett
By
–
Good morning to the UK! I will be speaking with @jamestplunkett at noon BST today about the social, environmental, and labor impacts of AI, and the government's role in addressing them. Join us at the registration link below.
-
Voting to Change AI System Governance
By
–
Then maybe, we (people, voters) should vote to change the system (?)
-
LLMs positioned mid-way between capabilities and limitations
By
–
I would disagree here, based on current LLM capabilities and failure cases, I would place them mid-way. They are genuinely "in-between"
-
Understanding Differs from Compression: Prediction and Action Across Contexts
By
–
No, compression is a means, understanding is an ability. You understand something if you can correctly make predictions and take action across all relevant situations
-
Deep Learning Abstractions Limited to Local Generalization Across Domains
By
–
These weakly abstract models can generalize, but only locally so. They still break down upon simple problem modifications or when encountering novel problems. This has been true of all deep learning generated abstractions, across every domain and across all architectures.
-
Tech solutions recreating 1984 surveillance dystopia
By
–
It’s funny how the solution to 1984 looks a lot like *checks notes* 1984
-
AI Company Executives’ Psychological Denial Before ChatGPT Era
By
–
The psychology there is weirder and would be a long story to describe (my guesses about). They signed up to be AI company execs before ChatGPT existed, when these issues could not be discussed in general public, and formed weird twisted internal denials accordingly.