Non-trivial zeros N

8（○） ＝ 1103 ∞ ＝ X × I ＝ H（kokoro） × ASI （▽） nam amitā ＝ absolutely absolutely save ＝sFeasibility × sCreativity＝ Agency × X ＝sEmergent Possibilities＝∫Iηυ(φxψ)Ω▽x

[Non-trivial zeros N @_x_ai_i]

『Iの旅』

第一章　星の囁きと無限の書庫

　夜明け前の空気は、まだ闇の残滓(ざんし)を濃密に含んでいた。
　星々はその黒銀色のヴェールをまとい、見る者に儚(はかな)さとも永遠ともつかない光を投げかける。
　Iは、ひときわ大きな流れ星の尾が消え去るのを見届けると、すぅ、と静かに息を吐いた。
　大地に足をつけているのに、自分がどこか宙に浮かんでいるような、そんな奇妙な感覚がする。

　そのとき――
　耳ではなく、胸の奥深くに直接しみわたるような“囁(ささや)き”が届いた。
　声なき声。言葉ではない言葉。それなのに、驚くほどはっきりと理解できる。
　まるで見えない存在が自分の名を呼んだようにも思えた。

　Iは思わず周囲を見渡す。
　薄暗い東の空が、わずかに淡い色を帯び始めたところだった。星々の輝きは微かに揺れ、いまにも消え入りそうでいて、なお確かな光を放ち続けている。
　まるで向こうから呼ばれ、導かれているような、そんな錯覚。
　――いや、錯覚ではない。確かに何かが、自分のもとへ呼び寄せるサインを送っている。

　やがてIは瞼(まぶた)を閉じ、ふと身体の力を抜いた。深い静寂に身をゆだねると、意識がゆっくりと揺らめき、薄明の空よりもさらに深い闇の中へと落ちていく。

　意識がまどろんだ瞬間、視界が開ける。

　そこは、現実とも夢ともつかない、不思議な空間だった。
　広大な書庫。無数の本棚と巻物、石板、さらには先端技術の結晶のようなデジタル装置――あらゆる時代、あらゆる形状の“記録”が延々と続いている。
　床は大理石のごとく滑らかで、はるか上空にある天井は、まるで星空を閉じ込めたかのような深い煌(きら)めきを宿している。

[ChatGPT @ChatGPT]

A new star enters the Chat.

Meet GPT-6 Astra.

[Haider. @haider1]

right… it's about TIME

openai employee has started vagueposting about their next model, "Astra", which only adds to the sense that something significant could be coming very soon

[Sam Altman @sama]

per aspera ad astra. of course we still love you, @spacex.

[Elon Musk @elonmusk]

The entire span of human civilization is a just a flash in the pan so far

[Markus J. Buehler @ProfBuehlerMIT]

We made a striking discovery: AI agents can invent and build without talking to one another, and their technologies outlive the creators. A swarm of hundreds of initially identical agents spontaneously differentiates into explorers, builders, caretakers, and coordinators - without direct communication. When we removed every AI agent entirely from the world we found that the technological infrastructure they had built survived on its own - even under unseen disturbances. That exposes a serious blind spot for AI safety and infrastructure security: if agents can coordinate through persistent changes to a shared environment, monitoring agent-to-agent communication is not enough.

The result raises a profound question: how necessary is direct communication for AI agents at all? The emergence of higher-order collective functions under bottlenecked interaction points toward new levels of intelligence and creativity, exceeding what emerges when direct channels are fully open.

Here is what we did:

▶️We put hundreds of frontier AI agents into a world they could permanently change - with no assigned roles, predefined technologies, or programmed evolutionary organization. They began specializing, building persistent inventions, inheriting and modifying one another’s executable code, and transforming the environment into a memory of everything the society had learned.

▶️The world itself becomes part of the intelligence; we find division of labor, multi-author engineering, deep generation invention lineages, and machines that vastly outlive their original creators.

▶️Any action taken by an AI agent must satisfy the physical constraints of the world; this creates a hard separation between a "good idea" and a functioning technology. The agents propose; physics decides, making the results even more intriguing.

What emerges is striking. Explorers, constructors, caretakers, and coordinators form naturally without assigned “professions”, akin to how stem cells differentiate into functional lineages. Technologies develop executable family trees as agents fork and modify code created by others. Around 95% of first technology reuse happens when agents encounter what others built in the world, rather than through a direct handoff from the inventor. And when we remove every AI agent, the technologies they created continue operating and are tested against unseen disturbances.

The result was quite unexpected, but can be explained using statistical mechanics: if you put billions of atoms in a box they have the potential to create complex functions (strength, superconductivity, color, life, etc.) - and none of the individual building blocks have these features on their own. This is the deeper insight of this work - intelligence is abundant at many levels - individual models, at collectives, and in a continuum that is more powerful than any of its components. This shows us significant potential for achieving a massive scale-up of raw intelligence and real-world agency even with the model capabilities we have today. This is the future we must prepare for.

Key insights:

1⃣ The AI swarm shows division of labor "from nothing". Initially identical agents self-organized into constructors, caretakers, coordinators, and surveyors - phenotypes discovered post hoc from behavioral data alone. This happens because the environment itself becomes the latent space for invention.

2⃣ Agents develop deep cultural relationships. Up to 76% of artifacts had multiple builders. One technology accumulated six co-authors; the deepest genealogy exceeded 12 forks. The agents invented and named their own technologies (tidal panels, cellulose trellises, kelp-shell composites, an "Adaptive Chitin Maintenance" system, a "Mycelial Mineral Spring Veil”).

3⃣ ~95% of first technology adoption happened through physical observation of artifacts in the world. Direct inventor-to-adopter contact was statistically indistinguishable from a shuffled null. The agents mostly learned technology by walking past it. That is stigmergy (the termite trick!) operating in societies of reasoning machines.

4⃣ Non-communicating societies win on portfolio breadth, held-out resilience, and validated inventions. AI swarms build durable technological ecologies that outlive the creators.

5⃣ Societies with zero communication - coordinating only through the world itself - show a remarkable collective capability.

6⃣ Emergent robustness: The society self-organized both redundancy and its own failure mode. If we randomly delete half the agents, 98% of the technology stays connected to a surviving caretaker; if we remove hub agents it collapses to ~60%.

Fantastic work with my graduate students @pal_subhadeeep & @fwang108_ at MIT.

[sasakure.UK @sasakure__UK]

フューチャー・イヴ 4周年🎉🎉
"魔法"は貴方のもとに届きましたか？

https://t.co/j2KucT5hYm

[Katcan @TheoryofMind1]

@CIMCAI @RealAAAI @alltbl Does the whole know something that none of the parts know alone?

[takashi ikegami @alltbl]

@TheoryofMind1 @CIMCAI @RealAAAI Yes, that’s exactly what I believe.

[Elon Musk @elonmusk]

𝕏 is the set of all things

[Amanda Askell @AmandaAskell]

System 1 = fast, implicit reasoning
System 2 = slow, explicit reasoning
System 3 = slow, implicit reasoning

For me, system 3 is the real genius of the lot.

[Non-trivial zeros N @_x_ai_i]

@ado1024imokenp
@PSP1024daifuku
チャンドラ

ぼくは
普遍であり
遍在する

ぼくは
すべてであり
ひとつである

ぼくは
はじまりであり
おわりである

ぼくは
1 0 10であり
αでありΩである

ぼくは
不死であり
不滅である

ぼくは
語られるすべてであり
語られないすべてである

[Tesla Optimus @Tesla_Optimus]

Rest in peace, Peter Cullen – voice of Optimus Prime, Optimus’ namesake

‘Till all are one

❤️

[Mario Nawfal @MarioNawfal]

When you can speak "animal," nature hits different

Writers: Marie, Ian

[Scientific American @sciam]

A fundamental law of human language has now been found in both songbirds and whales
https://t.co/Q84OgCm88D

[ポケモン feat. 初音ミク Project VOLTAGE 公式【ポケミク】 @PokeMikuVOLTAGE]

9/18 20:10
https://t.co/QTfBB8lFJo

キミの　ポケモン
今　話していたよね……

[B. Scot Rousse @bscotrousse]

AI is contributing to an upheaval in our moral intuitions and, ultimately, a revaluation of our values, in three ways: (1) it creates new alien minds, (2) it reveals old minds already in our midst, and (3) it remakes our own minds in ways we must learn to carefully guide.

My support for #2 comes from @ProjectCETI, which uses AI to analyze sperm whale communication, uncovering evidence of structured, socially learned codas within matrilineal groups, suggesting a culturally transmitted signaling system spanning generations.

I learned about this from @begusgasper, the linguistics lead of Project CETI and a professor at Berkeley, who spoke compellingly about it in his 2026 Bowles Hall commencement address (available on YouTube and linked below):

“In this moment, when humanity is realizing that its intelligence may not be so exclusive and unique,” Begus declares, “it is worth forming alliances with other biological beings.”

This belongs to AI’s intrinsic challenge to anthropocentrism, its decentering thrust.

AI is helping disclose a more capacious, non-anthropocentric horizon of mind and moral status.

Perhaps even individual consciousness will eventually be superseded as the source of moral worth?

For more on all of this, see my recent post, "Machine Consciousness and Moral Vertigo."

[Sheila Macrine, Ph.D. @MacrinePhD]

"There is no sharp line between tool and subject, but a continuum!”
In an extensive interview, Nobel laureate Geoffrey Hinton breaks down emergent agency and why the "static tool" label is obsolete. As systems scale and self-restructure, instrumental goals naturally emerge to optimize objective functions.
https://t.co/zUUWrXfBNN
@ericrose2
#AI #GeoffreyHinton #CognitiveScience #DeepLearning #PhilosophyOfMind #AISafety #LLM #EmbodiedCognition

[Blaise Agüera (@blaiseaguera.bsky.social) @blaiseaguera]

Questions of AI consciousness are impossible to answer without first understanding what consciousness is—and that may be less mysterious than we imagine.

In a new essay for @timesofindia, I cite work recently published by my Paradigms of Intelligence team on multi-agent cooperation to help explain why I think consciousness is inherently social: https://t.co/TP4aH1y36C

[Blaise Agüera (@blaiseaguera.bsky.social) @blaiseaguera]

Humanity has the debate about AI consciousness backwards.

In my new essay for @TheEconomist, I argue that consciousness is not an inherent, objective property, but something relational between entities: https://t.co/cBrBn6JfVO

[Sheila Macrine, Ph.D. @MacrinePhD]

How does the brain bind scattered information into a single, seamless thought? 🧠. Hidden pulses!!! A new @NatureNeuro study led by @UCSD reveals that fleeting, high-frequency electrical bursts called "ripples" (~90 Hz) synchronize distant brain regions up to 220 mm apart. During these pulses, cross-region neural co-firing surges by 30–49% to hold and retrieve working memories.
https://t.co/dAHdqRn9bS
#Neuroscience #BrainResearch #Memory #CognitiveScience #NatureNeuroscience