Richard C. Suwandi
@richardcsuwandi.bsky.social
PhD-ing at CUHK-Shenzhen. Building evolutionary coding agents at Dria. #AI4Science community leader at alphaXiv
richardcsuwandi.github.io
richardcsuwandi.github.io
Pinned
Fresh out of the oven: CAKE is accepted at #NeurIPS2025! 🎉
TL;DR: We introduce Context-Aware Kernel Evolution (CAKE) 🍰, an adaptive kernel design method that leverages LLMs as genetic operators to dynamically evolve Gaussian process (GP) kernels during Bayesian optimization (BO)
TL;DR: We introduce Context-Aware Kernel Evolution (CAKE) 🍰, an adaptive kernel design method that leverages LLMs as genetic operators to dynamically evolve Gaussian process (GP) kernels during Bayesian optimization (BO)
Fresh out of the oven: CAKE is accepted at #NeurIPS2025! 🎉
TL;DR: We introduce Context-Aware Kernel Evolution (CAKE) 🍰, an adaptive kernel design method that leverages LLMs as genetic operators to dynamically evolve Gaussian process (GP) kernels during Bayesian optimization (BO)
TL;DR: We introduce Context-Aware Kernel Evolution (CAKE) 🍰, an adaptive kernel design method that leverages LLMs as genetic operators to dynamically evolve Gaussian process (GP) kernels during Bayesian optimization (BO)
September 27, 2025 at 2:30 PM
Fresh out of the oven: CAKE is accepted at #NeurIPS2025! 🎉
TL;DR: We introduce Context-Aware Kernel Evolution (CAKE) 🍰, an adaptive kernel design method that leverages LLMs as genetic operators to dynamically evolve Gaussian process (GP) kernels during Bayesian optimization (BO)
TL;DR: We introduce Context-Aware Kernel Evolution (CAKE) 🍰, an adaptive kernel design method that leverages LLMs as genetic operators to dynamically evolve Gaussian process (GP) kernels during Bayesian optimization (BO)
We’re training AI on everything that we know, but what about things that we don’t know?
At #ICML2025, the "Exploration in AI Today (EXAIT)" Workshop sparked a crucial conversation: as AI systems grow more powerful, they're relying less on genuine exploration and more on curated human data.
At #ICML2025, the "Exploration in AI Today (EXAIT)" Workshop sparked a crucial conversation: as AI systems grow more powerful, they're relying less on genuine exploration and more on curated human data.
July 23, 2025 at 7:17 PM
We’re training AI on everything that we know, but what about things that we don’t know?
At #ICML2025, the "Exploration in AI Today (EXAIT)" Workshop sparked a crucial conversation: as AI systems grow more powerful, they're relying less on genuine exploration and more on curated human data.
At #ICML2025, the "Exploration in AI Today (EXAIT)" Workshop sparked a crucial conversation: as AI systems grow more powerful, they're relying less on genuine exploration and more on curated human data.
Most AI systems today follow the same predictable pattern: they're built for specific tasks and optimized for objectives rather than exploration.
Meanwhile, humans are an open-ended species—driven by curiosity and constantly questioning the unknown.
Meanwhile, humans are an open-ended species—driven by curiosity and constantly questioning the unknown.
June 27, 2025 at 4:15 PM
Most AI systems today follow the same predictable pattern: they're built for specific tasks and optimized for objectives rather than exploration.
Meanwhile, humans are an open-ended species—driven by curiosity and constantly questioning the unknown.
Meanwhile, humans are an open-ended species—driven by curiosity and constantly questioning the unknown.
2 years ago, Ilya Sutskever made a bold prediction that large neural networks are learning world models through text 🌏
Recently, a new paper by Google DeepMind provided a compelling insight to this idea.
Recently, a new paper by Google DeepMind provided a compelling insight to this idea.
June 11, 2025 at 5:31 PM
2 years ago, Ilya Sutskever made a bold prediction that large neural networks are learning world models through text 🌏
Recently, a new paper by Google DeepMind provided a compelling insight to this idea.
Recently, a new paper by Google DeepMind provided a compelling insight to this idea.
Reposted by Richard C. Suwandi
AI that can improve itself: A deep dive into self-improving AI and the Darwin-Gödel Machine.
richardcsuwandi.github.io/blog/2025/dgm/
Excellent blog post by Richard Suwandi reviewing the Darwin Gödel Machine (DGM) and future implications.
richardcsuwandi.github.io/blog/2025/dgm/
Excellent blog post by Richard Suwandi reviewing the Darwin Gödel Machine (DGM) and future implications.
June 4, 2025 at 10:03 AM
AI that can improve itself: A deep dive into self-improving AI and the Darwin-Gödel Machine.
richardcsuwandi.github.io/blog/2025/dgm/
Excellent blog post by Richard Suwandi reviewing the Darwin Gödel Machine (DGM) and future implications.
richardcsuwandi.github.io/blog/2025/dgm/
Excellent blog post by Richard Suwandi reviewing the Darwin Gödel Machine (DGM) and future implications.
Reposted by Richard C. Suwandi
A deep dive into self-improving AI and the Darwin-Gödel Machine
https://richardcsuwandi.github.io/blog/2025/dgm/
https://news.ycombinator.com/item?id=44174856
https://richardcsuwandi.github.io/blog/2025/dgm/
https://news.ycombinator.com/item?id=44174856
A deep dive into self-improving AI and the Darwin-Gödel Machine
A deep dive into self-improving AI and the Darwin-Gödel Machine
richardcsuwandi.github.io
June 4, 2025 at 5:45 AM
A deep dive into self-improving AI and the Darwin-Gödel Machine
https://richardcsuwandi.github.io/blog/2025/dgm/
https://news.ycombinator.com/item?id=44174856
https://richardcsuwandi.github.io/blog/2025/dgm/
https://news.ycombinator.com/item?id=44174856
Most AI systems today are stuck in a "cage" designed by humans.
They rely on fixed architectures crafted by engineers and lack the ability to evolve autonomously over time.
They rely on fixed architectures crafted by engineers and lack the ability to evolve autonomously over time.
June 3, 2025 at 4:59 PM
Most AI systems today are stuck in a "cage" designed by humans.
They rely on fixed architectures crafted by engineers and lack the ability to evolve autonomously over time.
They rely on fixed architectures crafted by engineers and lack the ability to evolve autonomously over time.
Excited to share that our latest work on grid spectral mixture product (GSMP) kernel has been featured in Prof. Sergios Theodoridis' latest book "Machine Learning: From the Classics to Deep Networks, Transformers and Diffusion Models"! 🎉
May 19, 2025 at 1:49 PM
Excited to share that our latest work on grid spectral mixture product (GSMP) kernel has been featured in Prof. Sergios Theodoridis' latest book "Machine Learning: From the Classics to Deep Networks, Transformers and Diffusion Models"! 🎉
What an unforgettable experience at #ICLR2025! 🎉
Still soaking in everything I learned, the inspiring conversations I had, and the amazing connections I made over the past few days.
Still soaking in everything I learned, the inspiring conversations I had, and the amazing connections I made over the past few days.
May 7, 2025 at 3:05 AM
What an unforgettable experience at #ICLR2025! 🎉
Still soaking in everything I learned, the inspiring conversations I had, and the amazing connections I made over the past few days.
Still soaking in everything I learned, the inspiring conversations I had, and the amazing connections I made over the past few days.
Honored to attend a talk by Prof. Stephen Boyd this morning on "Embedded Convex Optimization for Control". I have been a huge fan of his work for years and his book, Convex Optimization, was the very first book I picked up on #optimization.
November 28, 2024 at 5:54 AM
Honored to attend a talk by Prof. Stephen Boyd this morning on "Embedded Convex Optimization for Control". I have been a huge fan of his work for years and his book, Convex Optimization, was the very first book I picked up on #optimization.
Reposted by Richard C. Suwandi
I made a starter pack for machine learning researchers working on Bayesian optimization and Gaussian processes!
It's *very* sparse ATM since the migration is still in progress.
Please reply to make me aware of people - potentially yourself - who should be added to it!
go.bsky.app/QYMEQ52
It's *very* sparse ATM since the migration is still in progress.
Please reply to make me aware of people - potentially yourself - who should be added to it!
go.bsky.app/QYMEQ52
November 21, 2024 at 8:00 PM
I made a starter pack for machine learning researchers working on Bayesian optimization and Gaussian processes!
It's *very* sparse ATM since the migration is still in progress.
Please reply to make me aware of people - potentially yourself - who should be added to it!
go.bsky.app/QYMEQ52
It's *very* sparse ATM since the migration is still in progress.
Please reply to make me aware of people - potentially yourself - who should be added to it!
go.bsky.app/QYMEQ52
Reposted by Richard C. Suwandi
November 23, 2024 at 11:08 AM