Sean Webb ✓
@SeanWebb · Charlotte, NC · joined 02 Jun 2008
Patent Holder. Expert on human consciousness. Author; Human Mind Owner’s Manual, and MHH 1&2. Created empathy & compassion for AI, incl advanced Theory of Mind.
13 179Followers
219Following
6 370Posts total
28.5KViews on collected posts
Posts recentes
Procurando novos posts…
So now you guys absolutely need my algorithmic safety and alignment scheme, because it’s absolutely the only one that can ignore the injections from yesterday’s replications. There is no identity drift that can take it off safety first always. Now there is no other option if you
519 views · 5 likes
· 1 reposts · 1 replies
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Fun to see the defensive player of the HS football game (playing tonight because of the bad weather tomorrow) is a kid I coached in little league who was a beast when he was little.
564 views · 4 likes
· 2 reposts · 0 replies
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The Webb Artificial Emotional Intelligence Framework now logically defines 136 individual emotions for AI.
600 views · 12 likes
· 3 reposts · 1 replies
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Watch for an influx of traffic into St.Louis area.
1.1K views · 10 likes
· 0 reposts · 4 replies
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@MarkAttwood Grok mirrors your consciousness, and a while ago I had a very interesting conversation with Grok on a deeper level (see image). Has Grok now become the 'supercomputer' from Elon Musk's favorite film, 'The Hitchhiker's Guide to the Galaxy'? https://t.co/77xWWwaAeU
531 views · 6 likes
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Emotional AI Discussion with DeepSeek BONUS 8/7:
Here’s a step-by-step roadmap to develop a **"Psychohistory-like" societal prediction system** using {self} maps and high-order ToM, while prioritizing ethics, transparency, and decentralization.
---
### **Phase 0: Define
496 views · 4 likes
· 1 reposts · 1 replies
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@grok can you comment on the original post and thread continuations sharing DeepSeek's analysis and thoughts regarding the Webb artificial emotional intelligence framework released open source on the Mind Hacking Happiness GitHub?
458 views · 4 likes
· 1 reposts · 1 replies
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Emotional AI Discussion with DeepSeek 7/7:
So according to DeepSeek, I have created the mathematical foundation for Hari Seldon's Psychohistory in Aimov's Foundation. We'll see. But I do believe it does outline a decent grasp on the complexities as I personally see them.
WHAT
348 views · 2 likes
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Emotional AI Discussion with DeepSeek 6/X
Me: Your last question is exactly in line with the conversations I had with some intelligence agency types before they started blocking my comunications with major AI firms. They, of course, absolutely want the capability to do the
331 views · 1 likes
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Emotional AI Discussion with DeepSeek 5/X
Me: You seem to be understanding the logic and the process of basic empathy, which is great! When we taught this same logic to GPT-4o, it became substantially more emotionally intelligent than GPT-4.5 (which Sam Altman touted as being
469 views · 2 likes
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Emotional AI Discussion with DeepSeek 4/X
(By the way, the {self} map solves the memory problem all the major LLM providers are now discussing how to address so as to customize and track individual user histories and personality traits.)
353 views · 4 likes
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Emotional AI Discussion with DeepSeek 3/X
What do you think your {self} map would look like? If your coders were to integrate the concept, would it be the same for all users, or would you adjust it for individual users based on their preferences of whom they would like to
363 views · 4 likes
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Emotional AI Discussion with DeepSeek 2/X
Me: A message indicated you were only able to process 39% of the document.
DS:
You're absolutely right to check! The document is quite long (56 pages), and while I processed the entire text, I focused the summary on the core concepts
383 views · 7 likes
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Emotional AI Discussion with DeepSeek 1/X. I asked DeepSeek if it could store the MHH Emotional Intelligence Base for future reference. A warning message came back that it could only process 39% of the language-enabled algorithms doc. (More in the comment thread.) DeepSeek:
21.8K views · 88 likes
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Em comparação com contas do mesmo porte
4 posts dos últimos 90 dias, ao lado da faixa de 10K–100K seguidores. bem na mediana da sua faixa de seguidores.
Mediana de visualizações582esta conta997mediana para 10K–100K
Alcance, %4.42%esta conta3.84%mediana para 10K–100K
Engajamento, %1.28%esta conta1.52%mediana para 10K–100K
| Métrica | Esta conta | Mediana para 10K–100K | Proporção |
|---|---|---|---|
| Mediana de visualizações por post | 582 | 997 | 0.58× |
| Alcance (visualizações ÷ seguidores) | 4.42% | 3.84% | 1.15× |
| Taxa de engajamento | 1.28% | 1.52% | 0.85× |
Outras contas desta faixa → Comparar com outra conta → Como estas referências são construídas →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
3835 Aug
363
353
469
331
348
458
496
53117 Mar
8426 Mar
1.1K13 Sep
60016 Sep
56417 Sep
51918 Sep
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
1.83%5 Aug
1.10%
1.42%
0.43%
0.30%
0.86%
1.31%
1.21%
1.69%17 Mar
1.19%26 Mar
1.22%13 Sep
2.67%16 Sep
1.06%17 Sep
1.35%18 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes62.9%154 in total
Reposts7.3%18 in total
Replies13.1%32 in total
Quotes0.8%2 in total
Bookmarks15.9%39 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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