SY Lee

Founder, Chief Strategy Officer & Chairman @psdnai. CEO of PIP Labs. Strategic Advisor @datafdn .

[SY Lee @theSYlee]

New name, more focused mission, tackling the most important problem in AI today.

We started Story to move the world's IP onchain. What became crystal clear is that the most valuable IP in the world of AI is actually data.

Specifically the real, human, licensable data every AI lab needs and can't get cleanly. Soon enough, every company sitting on human behavior will become a data business, whether they intend to or not. The teams that can source that data at scale and prove where it came from with consent will build some of the most valuable companies of this era.

Excited to have @devrelius lead as the Chief Executive Officer with @avipat_ as the Chief Data Officer role (advisory) at The DATA Foundation. I'm excited to continue supporting The DATA Foundation team and their mission through my efforts at @piplabsxyz and @psdnai. We won’t stop until all AI training data leaves a trace.

We won’t stop until all AI training data leaves a trace.

[Andrea | Devrelius @devrelius]

https://t.co/DlfQELgfDx

[Poseidon @psdnai]

The bottleneck in AI moved from architecture to data.

Voice is the clearest proof. The new speech-to-speech models can finally hold a real conversation but they need a kind of data that barely exists in the wild.

Today we're partnering with @otodotearth and @StoryProtocol to fix that. ↓

https://t.co/Ci0GIaUTnn

[SY Lee @theSYlee]

@joshelman @a16z Congrats!

[jacob @jacobmtucker]

@StoryProtocol So excited to be a part of building this! Unfortunately I can't participate, I don't know those languages (and i'm not trying it live in office hours again...) 😂

If you haven't already, complete your tasks at https://t.co/H5FsLzijy9 :)

[SY Lee @theSYlee]

After incubating @psdnai, our conviction only got stronger:

The data AI needs isn’t on the internet.

Critically, we learned what it takes to collect it: real participation, clean processing, and systems for consent and provenance.

Numo is what’s next. Welcome to early access.

[The DATA Foundation @datafdn]

https://t.co/6cG8kUbwWA

[Demis Hassabis @demishassabis]

It was a huge honour to meet with President @Jaemyung_Lee in Seoul. Deeply appreciate and impressed by our thoughtful exchange about AI safety and the importance of using AI to advance science. Korea has a leading part to play in that, and we look forward to working together!

[SY Lee @theSYlee]

Excited to speak in front of @POTUS @realDonaldTrump alongside other fantastic speakers.

[Christian Catalini @ccatalini]

Cost of generating a Hollywood-grade movie: collapsing toward zero. Cost of figuring out how to pay for the synthetic @neiltyson: undefined. The art is here (!!), the bottleneck is now IP remixing infrastructure—and it's worth roughly all the money.

[The DATA Foundation @datafdn]

Every major shift in crypto bridges back to the real world.

@Ray_scale from @Grayscale on why Story matters ↓

[Sreeram Kannan @sreeramkannan]

https://t.co/6az3c2k5sa

[Andrea | Devrelius @devrelius]

the most valuable data is the data no one wants to openly share.

training data for robotics, proprietary datasets, financial records, medical data, model weights, i.e. the stuff that actually matters will always be mediated through confidentiality and legal agreements.

to build smarter models in a decentralized way, we need to build the pipes that let confidential data flow between parties who don't fully trust each other, or don't trust each other at all. we need to do what protocols like zcash do for token transfers, but for actual proprietary data, with licensing and confidentiality built in.

this is the problem we've been building toward at story.

we started with open IP infrastructure... the idea that digital assets need programmable rules attached to them and anyone can remix them permissionlessly. But the deeper we went, the more we realized there was another massive underaddressed problem: enabling the secure transfer and computation of data that can't be public. That is IP too, and the most precious.

not everything needs to be transparent. some things need to be provably private and conditionally accessible. the blockchain industry has spent a decade optimizing for openness. the next decade belongs to whoever builds the best infrastructure for confidentiality. More than just private transactions.

as Confidential Data Rails (CDR) heads towards testnet soon, it will change what story can do at its core, supporting high stakes, confidential data and IP natively, which is the precious fuel AI runs on.

[SY Lee @theSYlee]

@jyseo_cv Love this!

[tae kim @firstadopter]

Jensen: "OpenClaw is probably the single most important release of software probably ever"

[Andrea | Devrelius @devrelius]

Great to see Story on there. we've been pioneering how agents interact since 2024 starting with our research on Agent TCP/IP because we knew it was the future. We were also the first to demonstrate two agents engaging in a complex transaction, ie licensing each other's training data using Story's programmable IP license. We were the first team to hire an agent, Luna, to run our twitter account for a week (paid gig!), and we were also one of the first teams to have a section of our docs entirely dedicated to agents to consume and learn how to build on Story via MCP. In other words, we have been agent-native for more than a year at this point. We also launched skills and a whole LOTS more cooking!

[Andrea | Devrelius @devrelius]

AI has 3 ongoing parallel races: compute, models, and data.

1. hardware -> clear winner is NVIDIA, requires massive capex to compete.

2. models -> very toe-to-toe between the big labs like OAI, Anthropic, Google, xAI, and oversea competitors. Any improvements by one lab are quickly imitated, including in the open source sector.

3. data -> there is no clear winner, and there is an insatiable appetite for it.

data is the fossil fuel for AI and it will always be the case for the foreseeable future.

In the podcast with Al I go over this and more.

[Cyan Banister @cyantist]

Today, is the day, that copyright dies. Welcome to the age of the remix and the inability to control IP from this day forward. There's no legal apparatus that can fend off the tide that is coming.

[Our World in Data @OurWorldInData]

South Korea uses more industrial robots per worker than any other country—

This chart shows one way to compare automated manufacturing across countries — it plots the number of robots per 1,000 manufacturing employees.

The chart shows very large differences between countries. South Korea stands out, with more than one robot for every ten manufacturing workers.

Singapore comes second, and China ranks third, close to Germany. The United States sits in the middle, close to the European average, below Switzerland, Denmark and Slovenia.

This perspective shows industrial robot adoption in relative terms. In another Data Insight, I looked at robot adoption in absolute terms. From that perspective, China stands out by a large margin: it’s a large economy with a huge manufacturing sector, and it has by far the largest stock of industrial robots.

Much of this expansion has happened recently: China’s annual installations increased 12-fold over a decade, helping it catch up to South Korea in terms of robots per worker.

(This Data Insight was written by @EOrtizOspina.)

[Poseidon @psdnai]

Sovereign AI needs verifiable trust.

As AI moves into healthcare, government, and regulated domains, the bottleneck is no longer models or compute. It’s whether training data can be trusted.

Details on the blog ↓

[The DATA Foundation @datafdn]

$3.2M+ real-world K-POP assets sold out on WAVIST.

Now, @witchwitch_sns partners with Story to issue and distribute real world K-Culture IP assets via its platform WAVIST.

As one of the top global entertainment exports, now anyone can easily invest in K-Culture on Story ↴