researcher & designer running @realitydeslab interested in #DeAI #Protocol #ALife #MoreThanHuman @uniofoxford phd @stanford alumni @holokit inventor
realverse
Joined December 2008
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🍄 Experience FungiSync at #Devcon2024! As this year Devcon Artist Cohort, I'm showcasing my latest artwork—FungiSync—a #MixedReality ritual where you'll immerse into mycelial networks. Shake hands to sync and blend other realities, mirroring the fungal resource exchange in the mysterious Wood Wide Web! 🍄✨ Let's celebrate #Mycopunk!
How to play:
1Come to our booth near Entrance. Go to infinitegarden.art to find the installation Map.
2Follow me and my lab @realitydeslab
3RT this post to play the rituals!
#MixedReality #Ethereum #Devcon #ArtistCohort
Botao 'Amber' Hu retweeted
Portal jumping through gaussian splat worlds with WebGPU. real time. sound on.
Botao 'Amber' Hu retweeted
personhood research group first meme drop
ALT Diagram titled "Pace Layering": six nested curved layers, each with an arrow showing its speed of change. From fastest (outermost) to slowest (innermost): masks, brands, avatars; legal personhood; the moral subject; the social and relational self; sapience; sentience. The outermost arrow is a long tangled squiggle, and the arrows grow shorter, thicker, and straighter toward the innermost layer, indicating progressively slower change.
Botao 'Amber' Hu retweeted
1/ Today, the Decentralization Research Center published "Alternatives to Concentrated AI: A Layer-by-Layer Map of What Is Being Built," authored by our head of research, @samuelvancelaw, and our executive director, @KyleBligen.
Over the past year, we talked to people building AI at frontier labs, universities, startups, and open-source nonprofits on five continents.
Botao 'Amber' Hu retweeted
New book The Laws of Thought is out tomorrow! Just as Algorithms to Live By introduced ideas from computer science through their applications in everyday life, the Laws of Thought introduces ideas from cognitive science and AI through the stories of the people who created them.
Botao 'Amber' Hu retweeted
1/🧵 We are very excited to release our new paper! From Entropy to Epiplexity: Rethinking Information for Computationally Bounded Intelligence
arxiv.org/abs/2601.03220
with amazing team @ShikaiQiu @yidingjiang @Pavel_Izmailov @zicokolter @andrewgwils
Botao 'Amber' Hu retweeted
We introduce epiplexity, a new measure of information that provides a foundation for how to select, generate, or transform data for learning systems. We have been working on this for almost 2 years, and I cannot contain my excitement! 1/7
1/🧵 We are very excited to release our new paper! From Entropy to Epiplexity: Rethinking Information for Computationally Bounded Intelligence
arxiv.org/abs/2601.03220
with amazing team @ShikaiQiu @yidingjiang @Pavel_Izmailov @zicokolter @andrewgwils
Botao 'Amber' Hu retweeted
Vibe Coding Robotics Part 6
Built a Theo Jansen's Strandbeest simulator to see how an AI models handle complex linkage systems
Built with Gemini 3
UI generated with Nano Banana
More details ↓
Botao 'Amber' Hu retweeted
I’m optimistic about “consortium consistency” - combining responses from different LLMs.
I expect many AI use cases where minimising hallucinations + low cost will be more important than frontier reasoning performance, which these approaches might be good for.
Botao 'Amber' Hu retweeted
🚨New Paper 🎻
On Bob Dylan: A Computational Perspective
In this work, I use LLM (o3) to explore how @bobdylan's ever-evolving lyrical themes break expectations and challenge convention (i.e., dishabituation).
This method can be used an artist’s cultural and creative evolution in general.
Botao 'Amber' Hu retweeted
New @AIatMeta paper explains when a smaller, curated dataset beats using everything.
Standard training wastes effort because many examples are redundant or wrong.
They formalize a label generator, a pruning oracle, and a learner.
From this, they derive exact error laws and sharp regime switches.
With a strong generator and plenty of data, keeping hard examples works best.
With a weak generator or small data, keeping easy examples or keeping more helps.
They analyze 2 modes, label agnostic by features and label aware that first filters wrong labels.
ImageNet and LLM math results match the theory, and pruning also prevents collapse in self training.
----
Paper – arxiv. org/abs/2511.03492
Paper Title: "Why Less is More (Sometimes): A Theory of Data Curation"
Botao 'Amber' Hu retweeted
⚫️ I threw the data from Merge by @muratpak into Unreal Engine to visualize all 29k m tokens and 3k+ merges in real-time 3D.
Switching between the beginning vs now to show how things changed in 4 months.
Not sure where to take this yet...would be fun to let everyone try it!
Botao 'Amber' Hu retweeted
Sakana AI is building artificial life and they can evolve!
Petri Dish Neural Cellular Automata (PD-NCA) let multiple NCA agents learn and adapt during simulation, not just after training.
Each cell updates its own parameters via gradient descent, turning morphogenesis into a living ecosystem of competing, cooperating, and ever-evolving entities—showing emergent cycles and persistent complexity growth.
Petri Dish Neural Cellular Automata
Sakana AI
Paper: pub.sakana.ai/pdnca/
Project: github.com/SakanaAI/petri-di…
Our report: mp.weixin.qq.com/s/P4-KBMHzH…
Botao 'Amber' Hu retweeted
Everyone's trying to create the perfect standard for agents. We follow the opposite approach: we pick small, specific problems and standardize those.
Glad to announce the creation of the Lightweight Standard Agent Working Group!
Botao 'Amber' Hu retweeted
Tired to go back to the original papers again and again? Our monograph: a systematic and fundamental recipe you can rely on!
📘 We’re excited to release 《The Principles of Diffusion Models》— with @DrYangSong, @gimdong58085414, @mittu1204, and @StefanoErmon.
It traces the core ideas that shaped diffusion modeling and explains how today’s models work, why they work, and where they’re heading.
🧵You’ll find the link and a few highlights in the thread.
We’d love to hear your thoughts and join some discussions!
⚡ Stay tuned for our markdown version, where you can drop your comments!
Botao 'Amber' Hu retweeted
More interposer fun, this time with DDR5 memory. Breaking TDX, SGX, SEV and even Nvidia TEEs. Checkout our work at TEE.fail, and get a personally-signed Intel attestation report at @TEEdotFail.
Botao 'Amber' Hu retweeted
Announcing AI for Public Goods Fast Grants (AI4PG) - Up to $10K for AI research improving public goods funding.
Fast review (2-3 weeks), simple applications (4 pages + 1 budget page), open to any researchers worldwide. Call for reviewers now open!
recerts.org/ai4pg2025
Botao 'Amber' Hu retweeted
Daydreams supports ERC-8004 as the trust layer to accelerate agent to agent commerce.
Here’s a two-minute briefing on the benefits, how it works, and why it amplifies the utility of x402 payment rails ↴
Botao 'Amber' Hu retweeted
Morning stroll into a @theworldlabs portal. I picture a future where you describe your environment and it instantly materializes around you.