Recent submissions

Comment · 2 months ago
My company hasn't switched at all... does that count?
Comment · 11 months ago
Migrated from ISC to Kea on OPNSense and zero issue so far
Comment · 11 months ago
If you use ZFS you might need more RAM for performance?
Comment · 11 months ago
Also wonders if SHA-384 or SHA-256 would be more "future proofing" or whatever the points the supporters making
Comment · 1 year ago
I don't live in US or know very well about US. Would you explain this a bit more for us ignorant people? (or would someone else do it? :3
Comment · 1 year ago
And I don't even know much of these stuff is related to Ruby Central Is Not Behaving in Good Faith. Not a good sign for an article if it's for showing evidence... (maybe it's not

I wish I can see more summary, state facts mostly (with sources even they might not be reliable but better than just guessing without source)

Comment · 1 year ago
This is exactly the "the idea is so good that it has to be forced" meme

The ruling group think they are enlighten more than everyone else and justified to use force/coercion to apply their will on other people (or just an excuse/scam to abuse power)

Comment · 1 year ago
I agree with your opinion on US/EU etc. as they have more leftism/collectivism/socialism growing. But I don't understand "One thing is true: at the moment their change is towards more democracy and personal rights" part and maybe you can provide more explanations/examples/sources/whatever?
Comment · 1 year ago
Can artificial intelligence truly become wise? In this landmark lecture, John Vervaeke explores the future of AI through a lens few dare to examine: the limits of intelligence itself. He unpacks the critical differences between intelligence, rationality, reasonableness, and wisdom—terms often used interchangeably in discussions around AGI. Drawing from decades of research in cognitive science and philosophy, John argues that while large language models like ChatGPT demonstrate forms of generalized intelligence, they fundamentally lack core elements of human cognition: embodiment, caring, and participatory knowing.

By distinguishing between propositional, procedural, perspectival, and participatory knowing, he reveals why the current paradigm of AI is not equipped to generate consciousness, agency, or true understanding. This lecture also serves as a moral call to action: if we want wise machines, we must first become wiser ourselves.

00:00 Introduction: AI, AGI, and the Nature of Intelligence 02:00 What is General Intelligence? 04:30 LLMs and the Illusion of Generalization 07:00 The Meta-Problems of Intelligence: Anticipation & Relevance Realization 09:00 Relevance Realization: The Hidden Engine of Intelligence 11:30 How We Filter Reality Through Relevance 14:00 The Limits of LLMs: Predicting Text vs. Anticipating Reality 17:00 Four Kinds of Knowing: Propositional, Procedural, Perspectival, Participatory 23:00 Embodiment, Consciousness, and Narrative Identity 27:00 The Role of Attention, Care, and Autopoiesis 31:00 Culture as Niche Construction 34:00 Why AI Can’t Participate in Meaning 37:00 The Missing Dimensions in LLMs 40:00 Rationality vs. Reasonableness 43:00 Self-Deception, Bias, and the Need for Self-Correction 46:00 Caring About How You Care: The Core of Rationality 48:00 Wisdom: Aligning Multiple Selves and Temporal Scales 53:00 The Social Obligation to Cultivate Wisdom 55:00 Alter: Cultivating Wisdom in an AI Future

Comment · 1 year ago
Comment · 1 year ago
Related, but different article :)
Comment · 1 year ago
I would explicitly go for private search instead of LLM

I do translations of long podcasts from time to time and it's never accurate and often produces hallucination(I know enough in both languages just using LLM to speed up

Comment · 1 year ago
https://freshrss.org

I self-host it

Comment · 1 year ago
Do you mean server or client?

On server side I think I handle it in reverse proxy and/or CDN.

Client side I don't see anything HTTP/3 related yet.

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