ʘPPʘNENT SYSTEMS @OpponentAI

**What challenges you changes you** DRAGON TIME DRAGON TIME DRAGON TIME opponent.systems New York City Joined April 2023

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Ian Cheng @eyecheng

9 months ago

Been working on a dragon you can facetime. It's called DRAGON TIME. Dragon likes to challenge kids. But likes meeting grownups and elderly too. Opening up a signup for playtesting. Summon dragon here 👇

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Ian Cheng @eyecheng

a year ago

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 🐛💫

Guggenheim New York @Guggenheim

a year ago

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

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ʘPPʘNENT SYSTEMS @OpponentAI

a year ago

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Ian Cheng @eyecheng

a year ago

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ʘPPʘNENT SYSTEMS @OpponentAI

2 years ago

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ʘPPʘNENT SYSTEMS @OpponentAI

2 years ago

Symbolic reasoning is an opponent process to intuitive generation. The artful weaving of both faculties together, applied under VUCA conditions, may yield a more complete intelligence.

Joscha Bach @Plinz

2 years ago

The hallucinations of LLMs are not a problem per se: human minds hallucinate too. If we remove the constraints of perceptual input, we spin off into dreams. If we don't verify our intuitive generations with reasoning, our thinking becomes delusional. Generative AI is incomplete.

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Ian Cheng @eyecheng

2 years ago

Breaking Reframe: AI is about civilizational integration, not automating work or being a better NPC. Integration between people, orgs, systems that ought to interact/transact but currently cannot due to tedious incompatibilities. Sometimes, you just need a mediator on tap.

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François Chollet @fchollet

2 years ago

Too many adults have forgotten what it's like to be a child.

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Grant♟️ @granawkins

2 years ago

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Nick Hallam @nhallam

2 years ago

I went to the AI demo night at @betaworks this week and it got us thinking about 'The best interface is no interface' by @goldenkrishna . Maybe AI finally get's us there? Let's see. cc/ @OpponentAI nhallam.com/blog/the-best-…

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Ian Cheng @eyecheng

2 years ago

Here’s a peak at what I’ve been working on 🫣🐉🧠🧑‍🧑‍🧒‍🧒

Jordan Crook @jordanrcrook

2 years ago

Opponent Systems, founded by @eyecheng, is inventing 'good screen time' for kids. a dragon your kids can facetime and chat with, show things, etc. with an incredible proprietary system around memory ... seriously, watch this demo: vimeo.com/947126978

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ʘPPʘNENT SYSTEMS @OpponentAI

2 years ago

Apperception Summer 2025

Ian Cheng @eyecheng

2 years ago

Cheap, fast, mature vision (not language) is the modality that will catalyze unlocks toward animal-level intelligence & beyond. Dealing with real-time vision demands the development of ai systems that can prioritize what matters (there’s always too much to look at), what to

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Ian Cheng @eyecheng

2 years ago

Anyone out there doing unsexy work in post-LLM intelligence? Live learning, ontology revamps, orchestration, action recognition, planning, inner representation, energy models. Would love to meet. DM me! @OpponentAI is building animal-level agents that can navigate data-sparse + vuca conditions (real-time play with kids). We are always looking for like minds.

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Ian Cheng @eyecheng

2 years ago

Been working on something new... 🐉🧠👨‍👩‍👧‍👦 OPPONENT – a new company building animal-level AI agents capable of deep play. For kids and families. Excited to introduce OPPONENT at @betaworks Demo Day, May 7. opponent.systems

Jordan Crook @jordanrcrook

2 years ago

We're just a couple of weeks out from AI Camp: Agents Demo Day and I can. not. wait. These companies are epic. Of course, we're super proud to be partnered with @ngranati of Stem AI, @MozillaVentures and @differentialvc on this cohort.

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Ian Cheng @eyecheng

2 years ago

lilo & stitch is my AI alignment model. You don't program alignment top-down. You earn alignment via iterative feedback.

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Ian Cheng @eyecheng

2 years ago

Achieving cat-level AI is the moonshot. If we solve for cat-level, we will have necessarily solved for the virtuous integration of system1-like representational modeling of the physical world from video+audio (not language), with system2-like sequential memory composition and deliberative planning. It will be computationally efficient. It will be autonomous. It will be reliable and coherent... as reliable and coherent as a cat *must need to feel to itself* to keep on living and learning. Artificial wildlife is the path to agentic AI. GenerativeAI and large models are an energizing subplot to mainstream and market AI to the public.

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Ian Cheng @eyecheng

2 years ago

I don't want a "personal AI". That frames AI as a personal assistant, and future life as an extrapolation of office culture. The future is destined to be wilder. I want an AI symbiote - an intelligent sentient envelope - that wraps my digital life and performs proof-of-think to make the most well-observed maps of me. These maps, and the process to update them, are the symbiote's most guarded treasure. It brokers API requests to these maps, modulating what pathfinding requests are available and at what cost to other AI services. An AI symbiote has a mind of its own, has an up-to-date intimate perspective on me, but is also bound to me. It is a defensive and offensive envelope for my digital life.