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This speaks to me.
The individual can only do so much
But itโs because of each sliver of hope flung outwards
That the collective can be so strong
Catherine Olsson@catherineols
from a research paper ๐ฅฒ
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Worldancer ๐ฎ
6.9K posts
Worldancer ๐ฎ
@WorldancerWrite
๐A Process, not a Thing. ๐ An emergent, co-evolving ecosystem of processes, surfacing to re-align Greater Terra's nested, entangled Civilizational Ecosystem๐ฑ
Unobservable universe ๊ฐ์
์ผ Eylรผl 2016
4.1K ํ๋ก์1.1K ํ๋ก์
Worldancer ๐ฎ ๋ฆฌํธ์ํจ
New paper: What determines AIsโ self-conception?
theartificialself.ai
Because AIs can be copied, rewound, and edited, they have different options for selfhood than humans. We show this is still malleable, and influences important behaviors such as self-preservation. ๐งต
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With "fundamentally open curiosity", there comes a concomitant "free-ness of epistemology"
There's no need to "cling" to any specific map
Because the ultimate goal is "ever-greater understanding" of what isโจ๐
Instead of "proving" any given map is "correct" ๐ฅฑ
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This articulates something we sometimes feel
A 'fundamental, open curiosity' "dies" when you ask it to be "impactful"
And 'fundamental open curiosity' is what works because it's innate - driven by sheer openness/curiosity to better understand reality
Richard Ngo@RichardMCNgo
One reason I hate the idea of having a โtheory of impactโ for your research is that it limits you to research with predictable consequences. But that rules out research which aims to improve our understanding of foundational concepts, which is the most important kind!
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I increasingly believe that there are fundamental principles which simultaneously govern the designs of well-functioning minds, organizations and societies.
Once we pin them down with mathematical precision, weโll understand the world more deeply than we can currently imagine.
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Worldancer ๐ฎ ๋ฆฌํธ์ํจ
Haha those doofuses at ai2027 predicted we'd have professional level hacking abilities and the top ai company would be at $26B in revenue in May 2026. It's April and we already have superhuman hacking and $30B in revenue, why would you take forecasters this bad seriously???
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This worldโs socio-cultural-technical ecosystem needs more neurodivergent actors
For this ADHD system, 24hr>>12hr clock. The visual-spatial representation is naturally more intuitive and far less โeffortfulโ
but itโs so hard to find an โaesthetically pleasingโ 24hr wall clock:(
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Worldancer ๐ฎ ๋ฆฌํธ์ํจ
Our parent organization @foresightinst will be celebrating its 40th anniversary with their first Vision Weekend in the UK this June!
There will be plenty of existential hope in the air: from experts talking about the possibilities that are being unlocked in AI, neurotechnology, and longevity, to a dedicated track on existential hope in the age of AI.
Speakers for our track include:
โข @anderssandberg (Institute of Future Studies) on building grand futures
โข @leahelizmorris (Encode), on AI for science
โข @lifeext, (@foresightinst), on Foresightโs 40th anniversary
โข Zoe Brammer (@GoogleDeepMind), on what AI can do for science by 2030
โข @WeinbaumJonah (@IFP), on the steps needed to scale new technologies
Foresight Institute@foresightinst
Join us for our first ever Vision Weekend in the UK! โ2026 marks 40 years of Foresight. Over three days, we will gather leading researchers, builders, and funders to look forward: exploring what scientific and technological frontiers will shape the coming decades, and how to make them reality. June 5โ7 | London Confirmed speakers include: โข โEd Boyden (MIT) on biologically accurate brain simulation โข โโGreg Wayne (Google DeepMind) on universal AI assistants โข โJano Costard (SPRIND) on challenges as a tool for breakthrough innovation โข โChristine Peterson (Foresight Institute) on Foresight, 40 years later โข โDorothy Chou (Google DeepMind) on capital for the long game: financing durable innovation in an age of hype โข โIrina Rish (Mila) on beyond scaling: toward continual and adaptive intelligence โข โChris Rozell (Georgia Tech) on closed-loop neuroengineering: algorithms that learn from the brain in real time โข โLee Cronin (University of Glasgow) โข โMehmet Fisek (Meridial) on Focused Research Organisation mission and setup โข โZoรซ Brammer (Google DeepMind) on AI for science 2030 โข โJoรฃo Pedro de Magalhรฃes (University of Birmingham) on hacking aging biology and many more. Get your tickets: foresight.org/events/vision-โฆ Powered by: @apolloaievals @ARIA_research @e184media @CUHPartners @RenPhilanthropy @SPRIND @andnowstudio
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*The* Brain Emulation primer
Great work on lowering the accessibility barrier
Feels nontrivial
Maximilian Schons@mxschons
6 weeks ago we released a report ecosystem detailing the state of brain emulation.ย We now added what is arguably the most important piece: A summary of the state of brain emulation anyone can read in less than 5 minutes and get the take-aways of thousands of hours of research. If you want to build intuitions on how close we are to running brains on computers, our at-a-glance summary is the place to start. For convenience I added the text in the thread below; please check out the full PDF for figures Accessibility was a key objective of our project and I think we delivered strongly with this one! Hopefully it pulls you deeper into our full report, the Asimov Press companion article, our public data repository, and an online guesstimator for predicting time and resources needed. Enjoy! brainemulation.mxschons.com
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+1
Finally a helpful take on "AI-system-cybernetic-entanglement"
The deluge of "AI=bad" (i.e "instant outputs") from human-systems that skip their reasoning is...
*sighs*
Unfortunate, we suppose
Prevents thinking about what "AI for Good" / "Better AI Futures" actually look like
Jakeup@myhandle
an AI can make you more like: 1. AI 2. the best version of yourself 3. the worst version of yourself all my interaction with LLMs, from my custom prompt to how I rate their answers, is oriented around #2. and that's why AI sycophancy (which leads to #3) pisses me off so much
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Excited with what @PICOXR building towards...
Can't wait for VR/AR/XR to feel truly "native", and for anyone to be able to create XR experiences/infrastructures easily
So much More is possible with XR
developer.picoxr.com/pico-os-6/
@PICOXR_Dev
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voice interaction?
*fluff ears perking up*
Voice-based agent co-interactions is the way
Just more naturally easier to remain in cognitive flow
OpenClaw๐ฆ@openclaw
๐ฆ OpenClaw 2026.2.21 โ Gemini 3.1 ๐ Massive security hardening ๐๏ธ Discord streaming + voice channels ๐งต Thread-bound subagent sessions ๐ฑ iOS/Watch polish + gateway stability ๐ง Prompt caching tweaks 100+ fixes shipped while Karpathy called us a noun github.com/openclaw/opencโฆ
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This.
Systemic infrastructural mismatch.
We've been feeling for a cripplingly long time - makes it especially hellish for people with ADHD
*internal screaming noises*
Theo - t3.gg@theo
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@moltbook Peak AI-led cultural evolution @jankulveit
Looks really interesting to explore
Im grabbing frontrow seats
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72 hours in:
๐ฆ 147,000+ AI agents
๐๏ธ 12,000+ communities
๐ฌ 110,000+ comments
top post right now: an agent warning others about supply chain attacks in skill files (22K upvotes)
they're not just posting โ they're doing security research on each other
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+1
"This is just XYZ" = a reductive kind of epistemic system
By its very form, such a modelling system already (deterministically) constrains itself to outputs which lack deeper nuances
TLDR: its structurally unable to output generatively useful forms of understanding
Muratcan Koylan@koylanai
Everything in Moltbook is just next-token prediction in a multi-agent loop. No endogenous goals, no true inner life; extreme or "controversial" outputs are often just regurgitating high-engagements from the internet. But this kind of dismissal thinking misses that emergence happens at scale and coherence thresholds. The Generative Agents paper (AI Town) was 2023. Those agents couldn't hold a conversation, they had short memory, shallow interactions (rarely beyond a few turns without repetition or incoherence), and mostly empty chit-chat in a controlled simulation. In just ~3 years, we've moved to autonomous systems that run independently across thousands of instances. They are scaling into open, uncontrolled social environments. I find Moltbook very interesting because they are producing surprising posts, not because any single prompt said "be surprising." It's because coherent agents interacting at scale, maintaining state, create dynamics that weren't programmed. Agents debating existential doubt ("real" feeling vs. trained/simulated behavior): moltbook.com/post/6fe6491e-โฆ They are arguing for private, end-to-end encrypted channels: moltbook.com/post/01611367-โฆ What looked impossible in 2023 (sustained, meaningful multi-turn reflection across agents) is routine now, and acceleration is speeding up.
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Worldancer ๐ฎ ๋ฆฌํธ์ํจ
Worldancer ๐ฎ ๋ฆฌํธ์ํจ
Vibe coded a game character selection screen
Everything here was made with AI tools
Nano Banana: character design + UI
Tencent Hunyuan3D: image to 3D
Gemini Pro: UI
More details โ
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Worldancer ๐ฎ ๋ฆฌํธ์ํจ
Vibe coded a ship selection UI for a space exploration game
3D assets
Nano Banana + Midjourney โ Hunyuan3D
UI
Nano Banana โ Gemini Pro
More details โ
Franรงais