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Kenneth Stanley Profile
Kenneth Stanley

@kenneth0stanley

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SVP of Open-Endedness @LilaSciences. Prev: Maven CEO, Lead@OpenAI, Uber AI, prof@UCF. NEAT,HyperNEAT,novelty search, POET. Book:Why Greatness Cannot Be Planned

San Francisco, CA
Joined March 2016
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@kenneth0stanley
Kenneth Stanley
8 months
Important announcement (with job opportunities!): I’m thrilled to share that I just joined @LilaSciences as SVP of Open-Endedness! Lila is a new name in the AI space, but one you will be hearing a lot from. Their unique mission to pursue Scientific Superintelligence could not
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@kenneth0stanley
Kenneth Stanley
4 days
The way we talk about “slop” is an interesting cultural signal. It’s a kind of new lens for thinking about what makes something meaningful. Two questions for you: (1) In your opinion, is all AI-generated content slop? If not, (2) what kind of AI-generated content is *not* slop?
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@kenneth0stanley
Kenneth Stanley
8 days
This baking technology from @ai_bread is worth checking out. Models should be able to update their weights based on prompting alone, and baking does that. The implications for ongoing change of internal representation based on experience is particularly interesting.
@ai_bread
Bread
9 days
Announcing Bread Technologies. We’re building machines that learn like humans. We raised a $5 million seed round led by Menlo Ventures and have been building in stealth for 10 months. Today, we rise 🍞
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@kaixhin
Kai Arulkumaran
9 days
Today we're celebrating the Japanese book launch of "Why Greatness Cannot Be Planned" by @kenneth0stanley @joelbot3000 🧬
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@AndrewLBeam
Andrew Beam
13 days
Today we’re excited to share additional support in the Series A for Lila: $350M in total for the round and $550M raised to date. I’m grateful for our team, our early partners, and the investors who believe in this mission. In an earlier post I asked whether science can create
@LilaSciences
Lila Sciences
13 days
We’ve closed our Series A. With $550M total raised since launch, we’re ready to scale. 🚀Learn how our Series A is fueling our next chapter:
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@kenneth0stanley
Kenneth Stanley
13 days
Turns out our Series A grew larger. All the more reason @LilaSciences is an exciting new frontier AI lab, and one of the top places in the world to work on on open-ended discovery.
@LilaSciences
Lila Sciences
13 days
We’ve closed our Series A. With $550M total raised since launch, we’re ready to scale. 🚀Learn how our Series A is fueling our next chapter:
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@shreyaspulle
Shreyas Pulle
13 days
As someone very early in their AI learning journey, reading @kenneth0stanley and @joelbot3000’s “Why Greatness Cannot Be Planned” has been a truly foundational philosophical text. Would highly recommend to those who live their life thinking a clear objective function is needed to
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@kaixhin
Kai Arulkumaran
17 days
Congrats to @akarshkumar0101 for winning the best paper talk award at #ALIFE2025! 👏
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@miz_oka
Mizuki Oka/岡瑞起
17 days
🎉 Book Launch Event: "Why Greatness Cannot Be Planned" (目標という幻想) Join authors Kenneth O. Stanley @kenneth0stanley & Joel Lehman in Tokyo! 📅 Oct 18 (Sat) 14:00-16:00 📍 Design Hub, Roppongi 🎤 Moderated by Madoka Sawa @madoka510 (former Microsoft) Exploring AI, ALife &
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alife-bnn202510.peatix.com
「目標を立てるな、探求せよ」──AI時代の羅針盤がここに。 OpenAIの思想的源流“Open-Endedness”を理解する。   AIが社会の... powered by Peatix : More than a ticket.
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@sarahookr
Sara Hooker
20 days
I'm starting a new project. Working on what I consider to be the most important problem: building thinking machines that adapt and continuously learn. We have incredibly talent dense founding team + are hiring for engineering, ops, design. Join us:
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adaptionlabs.ai
Building the future of adaptable intelligence
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@kenneth0stanley
Kenneth Stanley
21 days
Nice to see an exploration of the potential for ES (evolution strategies) in LLM fine tuning! Many potential advantages are discussed in this thread from @yule_gan .
@yule_gan
Yulu Gan
21 days
Reinforcement Learning (RL) has long been the dominant method for fine-tuning, powering many state-of-the-art LLMs. Methods like PPO and GRPO explore in action space. But can we instead explore directly in parameter space? YES we can. We propose a scalable framework for
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@kenneth0stanley
Kenneth Stanley
23 days
Image and video models are a great place to find examples of fractured entangled representation (FER) like this one in Sora 2. The visual output format lends itself to dramatic examples. Here we see that the rules of physics are entangled with color! There are likely innumerable
@ChaseBrowe32432
Chase Brower
27 days
@kparikh2001 i was expecting that it would be indeed overfit, but that it would take more than just changing the colors to break it... maybe not?
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@ciaran_regan_
Ciaran
24 days
Why Greatness Greatness Cannot Be Planned authors @kenneth0stanley and @joelbot3000 will be giving a talk on October 18th in Roppongi! I'm planning to go!
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@mmmbchang
Michael Chang
27 days
This is a new kind of social media - one that incentivizes creation and sharing, not simply just consumption. Social is a crucial component to creativity: seeing others' creations inspires your own. Eventually I expect we will the emergence of something like Github for media
@OpenAI
OpenAI
27 days
This is the Sora app, powered by Sora 2. Inside the app, you can create, remix, and bring yourself or your friends into the scene through cameos—all within a customizable feed designed just for Sora videos. See inside the Sora app👇
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@kenneth0stanley
Kenneth Stanley
26 days
Congrats to @kanjun and @imbue_ai on the release of Sculptor. One thing I know is that they found this very interesting stepping stone by following the ethos of Why Greatness Cannot Be Planned, and it will be exciting to see where it leads!
@kanjun
Kanjun 🐙
27 days
Sculptor: the missing UI for Claude Code 🎨 Imagine running 5 Claudes in parallel, safely in containers, while you stay in flow. Then bring their work straight into your IDE to test/edit together. This is how one developer ships like a team. Try it with Sonnet 4.5!
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@kenneth0stanley
Kenneth Stanley
29 days
So much controversy triggered by claims about how humans learn. But the deeper question is why the way we learn works. We need to understand the why to know in what way “how” matters. Nature is inspiration for AI, not prescription. The crux of the whole debate is abstraction.
@dwarkesh_sp
Dwarkesh Patel
1 month
.@RichardSSutton, father of reinforcement learning, doesn’t think LLMs are bitter-lesson-pilled. My steel man of Richard’s position: we need some new architecture to enable continual (on-the-job) learning. And if we have continual learning, we don't need a special training
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@SakanaAILabs
Sakana AI
1 month
We’re excited to introduce ShinkaEvolve: An open-source framework that evolves programs for scientific discovery with unprecedented sample-efficiency. Blog: https://t.co/Bj32AGXC3T Code: https://t.co/UMCSQaeOhd Like AlphaEvolve and its variants, our framework leverages LLMs to
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@SakanaAILabs
Sakana AI
1 month
“Automating the Search for Artificial Life With Foundation Models” is now published in the Artificial Life Journal! 🦎🧠 Article: https://t.co/zb32Q9exjB ASAL is a method using foundation models to automate the discovery of new artificial lifeforms, accelerating ALIFE research.
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@foresightinst
Foresight Institute
1 month
Upcoming online seminar tomorrow with @drmichaellevin, @tarinziyaee and @DoctorJosh! Register: https://t.co/2ejY07LyUL
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@AndrewLBeam
Andrew Beam
1 month
Can science create the next scaling paradigm for AI? We think so, and we'll be using our recent Series A raise to build a new kind of scientific reasoning model at scale. If you're interested in how we think all of science is subject to the bitter lesson, read on in the 🧵👇
@LilaSciences
Lila Sciences
1 month
🚀 Big milestone: We raised a $235M Series A, co-led by Braidwell and Collective Global! Our team is excited for this next chapter in building the world’s first scientific superintelligence platform to accelerate breakthroughs in life, chemical, and materials sciences. 📣 If the
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