entropy wrangler | worlding | https://xitter.cf/t.co/CJmTKLfJin
New York City
Joined March 2008
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Ian Cheng retweeted
"Ian Cheng on Composing with Systems" by Peter Bauman @monkantony_tez with @eyecheng
The artist on world-building as composing with systems
➡️ lerandom.art/editorial/ian-c…⬅️
Mentions: @StupidFunWill @drfeifei @OpponentAI @TheShedNY @MoMAPS1 @SerpentineUK @juliastoschek @la_Biennale @MuseumModernArt @whitneymuseum @Tate @LouisianaChann
Ian Cheng retweeted
Next week✨
Join us exploring the worlds of Ian Cheng @eyecheng (Mon) + Lawrence Lek @Sinofuturism (Fri)
Is anyone building the personality layer for robots?
Our facetime dragon is becoming the crucible for solving a lot of real-time social ergonomics problems.
The WHAT a character says is well-trodden and easily mimicked; it’s HOW a character carries itself over the convo, how it modulates its own personality in relation to the user’s demands on it (timing, status, expectations, assertiveness, model of progress, attentional priority, etc) that is under explored and a bit hard to appreciate until you ditch turn-based chat paradigm and go real-time full chaos.
Ian Cheng retweeted
Fundamentally intelligence is about:
1 - Ability to map the world or problem into an abstract navigable, updatable & flexible representation.
2 - Extract generalizable rules that govern a given space given few examples.
3 - Solve novel problems by navigating that space.
Fei-Fei Li (@drfeifei) on limitations of LLMs.
"There's no language out there in nature. You don't go out in nature and there's words written in the sky for you.. There is a 3D world that follows laws of physics."
Language is purely generated signal.
What if the mind is an arena for both local evolved consciousness AND teleoperation?
In times of trouble, teleoperator comes to me. Jaynes thought so. Jung thought so. Tesla, Waymo do so.
Low frequency minds filter out the teleoperator's guidance. High frequency minds actively tune to their teleoperator’s channel.
What's less ridiculous: the human mind is evolved to generate inspired solutions under duress? Or a higher dimensional intelligence streams low effort low cost high impact guidance to human mind under duress?
What surprises me is that BOTH seem ridiculous when I type it. I've started to wonder which is less ridiculous.
I see with my own kids how a small suggestion unlocks so much for them to then do themselves. A universe scale version of this is, if nothing else, more entertaining than not.
Ian Cheng retweeted
Those who intuit something is lacking in LLMs struggle to pinpoint the gap beyond inadequate metaphors like “stochastic parrot” or “glorified autocomplete.” What you’re groping for is fractured entangled representation (FER). That’s the concrete crux of your slippery intuitions.
It’s why these models can keep improving in dramatic and genuinely nontrivial ways yet still suffer from an underlying sickness. It’s where real opportunity and hope lie for revolutionary progress,
Representation is at the heart of thought, of creativity, and indeed of intelligence itself. It is possible to “know” an unfathomable amount and yet still represent it poorly.
And it’s possible for representation to be better. And it will ultimately happen one way or another.
Ian Cheng retweeted
Intelligence isn't a collection of skills. It's the efficiency with which you acquire and deploy new skills. It's an efficiency ratio.
And that's why benchmark scores can be very misleading about the actual intelligence of AI systems.
No fat just insight here. inspiring
François Chollet (@fchollet) on the ARC Prize and how we get to AGI.
At AI Startup School in San Francisco.
00:00 - The Falling Cost of Compute
00:57 - Deep-Learning’s Scaling Era & Benchmarks
01:59 - The ARC Benchmark
03:02 - The 2024 Shift to Test-Time Adaptation
05:01 - What Is Intelligence?
07:12 - Why Benchmarks Matter (and Mislead)
08:57 - ARC 1 Exposes Scaling Limits
10:58 - ARC 2: Compositional Reasoning Arrives
12:55 - Humans vs. Models on ARC2
14:58 - Previewing ARC3 & Interactive Agency
17:00 - Kaleidoscopic Hypothesis and Abstractions
22:00 - Type 1 vs. Type 2 Abstractions
26:00 - Discrete Program Search & Inventive AI
29:00 - Fusing Intuition with Symbolic Reasoning
32:00 - Building AGI Through Meta-Learning Systems
Many of the principles for achieving agentic characters at @OpponentAI first began here with BOB. Proud for BOB to be included in the @Guggenheim collection 🐛💫
In Dialogue: The Guggenheim Collection
Step into the simulated worlds of Ian Cheng as he reflects on identity, evolution, and storytelling through technology. In this conversation, Cheng delves into Life After BOB, a thought-provoking animated saga that blurs the boundaries between AI, parenting, and personal growth.
Join Noam Segal, LG Electronics Associate Curator, as she explores with Cheng how narrative systems and virtual avatars can shape who we are—and who we might become.
🎥✨ Watch the full conversation now on the Guggenheim’s YouTube channel!
#InDialogue #GuggenheimCollection #IanCheng #LifeAfterBOB #DigitalArt
What if… Nolan's Odyssey adaptation reframes the meddling greek gods as various humanoid extraterrestrials zookeeping over a barbaric mankind still yet to mature in consciousness. Odysseus becomes the subject of fascination for these ETs due to his demonstrations of conscious will + introspection against horrible earthly struggles. Basically, The Odyssey (2026): an act of digestible mythic disclosure.
