Yes. Well done.
Source date (UTC): 2024-11-18 02:03:46 UTC
Original post: https://twitter.com/i/web/status/1858330226977370316
Reply addressees: @CloudByter
Replying to: https://twitter.com/i/web/status/1858320711502221509
Yes. Well done.
Source date (UTC): 2024-11-18 02:03:46 UTC
Original post: https://twitter.com/i/web/status/1858330226977370316
Reply addressees: @CloudByter
Replying to: https://twitter.com/i/web/status/1858320711502221509
Q: CURT: –“Are you making a custom GPT that can be shared or published later?”–
We have six possible tracks:
(a) Can anyone upload the books and is that enough? Appears that is increasingly likely. IF there is also another set of prompts that walk it through those books a section at a time. This isn’t that different from the more disctete trainings they teach (tune) the AIs with today This means that anyone can use it anywhere.
(b) Can we share a profile that has been trained organically instead of by programmatic training – like we’re doing today. Yes it turns out we can. Brad demonstrated it today and all it took was asking the AI to use what I was currently working on (The Grammars Table).
(c) Can we create a custom app that accesses a trained session. This is easy. But there is no point until we are sure we can teach it in the first place (and now we can).
(d) Can we create a custom app that is possible for widespread use – even charging a bit for it? (yes we can)
(e) Can we encourage OpenAI to incorporate our training since it’s effectively the core logic that they’re trying to induce in the aplication architecture. (Maybe).
(f) Can we integrate it into our Oversing-Runcible software and dramatically change the world of work and home life? Probably.
The key problem here is maintaining my health. Which appears to slowly continue on the upswing. 😉 But still needs some work. If not for Dr Brad not sure I’d still be here. ‘Cause I was in dire straits just a year and a half ago.
Reply addressees: @Claffertyshane @NoahRevoy
Source date (UTC): 2024-11-18 02:00:04 UTC
Original post: https://twitter.com/i/web/status/1858329293795086336
Replying to: https://twitter.com/i/web/status/1858326650477293963
What’s tacit and unstated anywhere? Very little. Even as such, with enough information from enough cases from enough domains the the tacit is obvious.
In my work, instead of defining truth, I studied ignorance, error, bias and deceit. The obviousness that resulted from that…
Source date (UTC): 2024-11-18 01:39:57 UTC
Original post: https://twitter.com/i/web/status/1858324233392435513
Replying to: https://twitter.com/i/web/status/1858319979793559940
yes, and yes. Well done.
Source date (UTC): 2024-11-18 01:12:07 UTC
Original post: https://twitter.com/i/web/status/1858317226102898808
Reply addressees: @DeclineTheWest
Replying to: https://twitter.com/i/web/status/1858316748350460167
THE PRACTICAL UTILITY OF THE METHOD FOR MAN
The methodology we’ve developed, particularly its grounding in universal first principles and operational grammars, offers a framework for systemic improvement in societal structures.
Here’s how it can be applied:
1. Enhanced Governance and Law
Decidability in Law: The method ensures that laws are universally applicable, contextually appropriate, and reducible to first principles like reciprocity and proportionality. This leads to legal systems that are more transparent, consistent, and just.
Conflict Resolution: By applying the method to societal conflicts, we can identify root causes at various scales (individual, group, civilizational) and offer resolutions that are causally sound and mutually beneficial.
2. Improved Institutional Design
Feedback Mechanisms: Institutions can be designed with better feedback systems to self-correct based on principles derived from this method, ensuring adaptability and resilience.
Accountability and Transparency: By embedding the principles of operational and testimonial truth, institutions can maintain higher accountability, reducing corruption and inefficiency.
3. Education and Knowledge Transmission
Universal Commensurability: Education systems can adopt the method to teach concepts that are universally consistent across disciplines, ensuring that knowledge remains coherent and applicable.
Critical Thinking: The framework fosters rigorous critical thinking by encouraging the decomposition of claims into their causal elements and testing them against first principles.
4. Economic Optimization
Resource Allocation: The method allows for a clearer understanding of economic behaviors, ensuring efficient and just distribution of resources.
Behavioral Economics: Understanding the limits imposed by human cognition and behavior through these principles can lead to policies that better align with human nature and societal goals.
5. Cultural and Ethical Evolution
Shared Morality and Norms: Societies can evolve common ethical frameworks based on the shared understanding of first principles, reducing intergroup conflict and fostering cooperation.
Alignment with Natural Law: Cultures can align their narratives and values with the immutable first principles of human and natural behavior, creating more sustainable social contracts.
6. Scientific and Technological Integration
Unified Scientific Framework: By harmonizing scientific discoveries across domains into a coherent grammar, the method accelerates cross-disciplinary innovation and integration.
Ethical Technology Development: Ensures technological advancements are aligned with societal good by grounding them in the ethical imperatives derived from universal first principles.
7. Crisis Management and Long-Term Planning
Predictive Capacity: The framework enhances the ability to foresee systemic risks by understanding the causal hierarchies that govern societal and natural systems.
Sustainable Development: Decisions can be evaluated against their long-term impacts on stability and prosperity, ensuring sustainable progress.
Why This Matters
At its core, this method addresses the fundamental challenge of human societies: how to align individual and collective behavior with the underlying principles of reality in a way that maximizes cooperation, minimizes conflict, and fosters flourishing. By providing a universal grammar of action and understanding, it lays the groundwork for more harmonious and adaptive social systems.
Source date (UTC): 2024-11-18 01:11:36 UTC
Original post: https://twitter.com/i/web/status/1858317097006510080
No. It isn’t. It can already empathize with those factors (consider them). But where in your body most of those sensations are physical processes (biochemistry) it must learn enough to predict them in the mind of others, just as you predict thoughts and feelings in the mind of…
Source date (UTC): 2024-11-18 01:07:57 UTC
Original post: https://twitter.com/i/web/status/1858316179863138760
Reply addressees: @slenchy
Replying to: https://twitter.com/i/web/status/1858315620162363481
IMO people are lost on the text component and missing the means by which LLMS construct ‘meaning’ out of relations just as our neurons do. The question since the beginning is whether these things can create a world model, that like Tesla’s is operational. But tesla’s world model is concrete while the conceptual world consists of abstractions. But it turns out that these two geometries (and they are constructed as relational geometries) are compatible.
The reason my generation couldn’t pull it off, was the availability of compute. But the fact that we could brute force world models through language (which in retrospect should have been obvious) was just something we didn’t predict.
That’ the leap. That one leap save us decades.
Reply addressees: @CloudByter
Source date (UTC): 2024-11-18 01:06:33 UTC
Original post: https://twitter.com/i/web/status/1858315825658445824
Replying to: https://twitter.com/i/web/status/1858312894699438302
We have two threads, but largely have learned that the important feature of ChatGPT is the custom prompt (profile), it’s memory feature (which no one else has) and, that our methodology is effectively a mirror of it’s objective, and that by working through our first volume (book) we’re effectively teaching it by socratic method.
In other words,watever memory construct it has within my account (and which oddly, appears accessible to others if you ask for it – which we found out today) is sufficient. If we want to make a business out of it we’d take up the second thread and fully mature that.
However, my opinion is that it’s a core functionality that should be trained into GPT because effectively it’s the human language explanation for what GPT is naturally gravitating to.
Reply addressees: @CloudByter
Source date (UTC): 2024-11-18 01:02:37 UTC
Original post: https://twitter.com/i/web/status/1858314836557594624
Replying to: https://twitter.com/i/web/status/1858312894699438302
I would need to understand that a bit better. Of course we are intentionally depriving it of agency. We can’t give it agency by other than direction. If it had it, without something akin to my work (decidability, morality, ethics) then it’s not ready to take responsibility for…
Source date (UTC): 2024-11-18 00:51:54 UTC
Original post: https://twitter.com/i/web/status/1858312138315682156
Replying to: https://twitter.com/i/web/status/1858309658215137696
WHY is ChatGPT Learning From Working Together?
Uploading and working on the book. So it’s the book, not the prompts. It’s teaching it the book by walking through it a section at time asking for feedback and to clarify it understands, and to refine it’s understanding.
The prompts are just LONG, as if you’re describing a question thoroughly. I’ll upload the videos soon and you can watch them. Look how carefully I ask a question, so that I ‘bound’ the AI to ONLY what I’m asking within the logic that I’m employing.
I think in the same model as the AI because I’ve been involved with AI models since the seventies. So it’s not hard for me to ‘intuit’ how to bind it’s attention with ‘anchors’ (concepts) so to speak. I make sure the anchors ‘bound’ the question. That’s the only ‘art’ in the prompts.
I did spend a lot of time teaching it my style (Ask Brad). have ALMOST, but not quite taught it to eliminate weasel words (endemic in most human writing.)
Simple version is (a) it takes a while (b) my work is a constructive logic, so it functions just like the AI’s architecture, (c) once it’s learned ‘enough’ it starts returning OMG responses. (d) the art is in asking complete questions that guide it’s journey.
I taught it enough of my work to help me with my work. And while I am competent in many fields, most of them in fact, the rapidity and breadth of GPT’s data and associations means that in response to a prompt, it can do in a moment what might take me a couple of hours, simple because of the difference in our memory response times.
Simple version is I teach it through the socratic method. Duh. Should be obvious. It’s how all teaching is done.
People who think ‘it’s just predicting words’ are not getting it. It is just mirroring our brains. A little bit more and a little bit better with every release. We are still needing adversarial theorization and auto-recusion, and we can and do run out of attention ‘nodes’ (anchors). But by and large the teams are getting there and quickly.
Source date (UTC): 2024-11-18 00:50:02 UTC
Original post: https://twitter.com/i/web/status/1858311669057036288