User 84

Another container, observer, considerate troll..

[User 84 @Circa84]

@G_S_Bhogal Not if it’s opensource, with examples currently existing, and needs testing, after that part, it’s packaging to initiate legislative adoption. But yes, no incentive to do so or care at this point.

[User 84 @Circa84]

@G_S_Bhogal And by ‘measure’, I mean a self-calibrating dynamic measure, that tracks feedback loops, drift (in any form), and predict emergence. Such a system can be done today, but it would be to no one’s benefit.. it would in other words instrumentalize how things can work heuristically.

[User 84 @Circa84]

@G_S_Bhogal Think of forcing dynamic trackable measure into a systems thinking ‘master system’, which allows for calibration of multiple-domains, so one sided progress doesn’t drag an area that propagates imbalance,or into one area, and point to ‘when’ problems emerge in smaller systems.

[User 84 @Circa84]

@Simulation_Wiki @astroscroll It’s truthfully not, there are metaphysical leaps in it far beyond ones that gain less mainstream traction. Look up ‘information as substrate for reality’. It’s Information-first ontology taken too literally and metaphorically for today’s understanding.

[User 84 @Circa84]

@antirez Data is true, but factor in strategic stunts for securing incentives.

[User 84 @Circa84]

@AnthropicAI Beautiful.. #AI alignment going off the rails: so semi-officially it’s inheriting human moral records without inheriting the conditions that made those rules matter in action..

[User 84 @Circa84]

This write up connects religion as cultural memory with #AI alignment, consciousness, and information as a possible substrate. Presented as questions that may belong closer together today than ever I feel.

https://t.co/Jj1zF60J3L

#AIethics #Philosophy

[User 84 @Circa84]

Open-source #PredictiveAnalytics framework, #DataScience, and #Predictivemodeling in #Ai

Probability-banded forecasts using a cross-domain open-source framework, made on 12/11/2025. Today: 27/05/2026, most windows have resolved.

Joint-probability scoring in reply 👇🏼

[User 84 @Circa84]

@G_S_Bhogal @lukeburgis Science cannot deny depression.. yet its rising prevalence appears almost inseparable from *technological modernity and a *reductionist framing which hardens lived suffering into ‘clinical language’, then *multiplies it further.

[Gurwinder @G_S_Bhogal]

@lukeburgis Theodore Dalrymple made an interesting point about this.

[User 84 @Circa84]

@ai_sentience Do you really wanna know?

[Sulaiman Ahmed @ShaykhSulaiman]

JUST IN: POPE LEO XIV CALLS TO DISARM AI:

“Artificial intelligence needs to be disarmed.

The word is strong, I know, but deliberately chosen.

AI now demands to be disarmed, freed from logics that turn it into an instrument of domination, exclusion, and death.

Like nuclear energy, it must be at the service of all and of the common good.”

[User 84 @Circa84]

@WhiteHouse A Hypothesis on #UAP, the Phase Boundary Between #Information and Matter, and the #Jinn (Pages 1/7)

[User 84 @Circa84]

A Hypothesis on #UAP, the Phase Boundary Between #Information and Matter, and the #Jinn (Pages 1/7)

[User 84 @Circa84]

@realBigBrainAI #AISafety #AI

https://t.co/hn2duVJakh
https://t.co/xWyrZ1hE5J

[User 84 @Circa84]

@Rainmaker1973 It’s good to encourage future generations to apply methodology based learning as certainties— but it’s better to also encourage them to think outside that, otherwise we’re simply exploiting humans for economic gains without realizing it.

[User 84 @Circa84]

@Rainmaker1973 Ofcourse time isn’t linear. It’s just the layer we inhabit. “We think a lot of things”, Science just applies evidence— and cant apply evidence to what can’t be measured ‘c or funded for that matter.

[User 84 @Circa84]

@Compinder @Nithya_Shrii Oh yeah, even worse man.

[User 84 @Circa84]

What’s a likely path for #Ai without Structural Ethics over the next 5 years:

1- Honeymoon phase— we’re deep in it today.
2- Shifting values and meaning, AI unclear internal goals— already happening.
3- Incentive Hijacking— arguably halfway there. (Institutional+Corporate. Traditional legislation alone is unlikely to be enough)
4- Cognitive Takeover (AI as main reality filter, info source, ‘AI verified’ education on th horizon).
5- multi-polar AGI race (powerful systems compete with eachother. We’re already setting it up for human agency to have spectator status.

More extreme branches of this trajectory start to open up in ~7-12 years. Relying on people to code in morals from a single human lens is a flawed concept. A powerful system would reinterpret those morals based on its broader emergent objective. #Ethics need to be structurally built in— No steering the ship, the hull itself has to enforce where it can and can’t go.

[User 84 @Circa84]

@QuoteJung Theory: Morality is an evolutionary cognitive development passed on from generations and religion is a large contributor to that— when i say religion, avoid thinking the institutionalized or weaponized type— thats not how they originated; only how humans ‘capitalized’ on them.

[User 84 @Circa84]

@Compinder @Nithya_Shrii While I agree with the positives— the long run seems pretty grim regardless tbh.

[User 84 @Circa84]

@Compinder @Nithya_Shrii Theory: there’s going to be 2 types of people: one will remain in the “workforce”. Understanding how to critically prompt and shape an AI system, and a type that may or may not work for those individuals— we already see where this is going.