Surong Ruan

Interaction & Service Designer orchestrating systems

[Surong Ruan @surong3d]

Stay curious, but stop and focus once you decide to dive in.

[Mike Bespalov @bbssppllvv]

Agents make ugly UIs because they've never seen good design.

We've been fixing that, 2,000 DESIGN.md files from the world's best products, structured for a model to read and learn. Colors, type, spacing, layouts and more.

Free. https://t.co/mJaKNHba0O

[Surong Ruan @surong3d]

Part 1 of AI design in enterprise context: https://t.co/oSy5BIzXRA With Claude's help, the 5-layer structure is very inspiring to make AI actually work for different enterprise context. Stay tuned for part 2!

[Surong Ruan @surong3d]

https://t.co/gIEOwxmgV8 Love the bold design to embody the culture, esp the delightful type exp with river real connection.

[Ricardo @Ric_RTP]

The CEO of Google DeepMind just admitted that if the decision had been his, we would've cured cancer before anyone ever used ChatGPT.

And that's not even the scariest thing he said on a recent interview.

Demis Hassabis is one of the most important people alive in AI.

He won the Nobel Prize last year for AlphaFold, the system that cracked the 50 year protein folding problem. 3 million scientists now use his tool. Almost every new drug being developed will touch it at some stage.

In a new interview, he was asked about the moment ChatGPT launched and Google went into "code red." His answer was one of the most revealing things any AI leader has ever said on the record:

"If I'd had my way, I would have left AI in the lab for longer. Done more things like AlphaFold. Maybe cured cancer or something like that."

Read that again.

The man running Google's entire AI division is publicly saying the commercial AI race we're all living through was a MISTAKE. That the industry got hijacked by a chatbot when it could have been solving the biggest problems in science and medicine.

His vision was simple:

Build AI slowly, carefully, like CERN. Use it to crack root node problems one at a time. Cancer. Energy. New materials.

Let humanity benefit from real breakthroughs while the foundational science was figured out over a decade or two.

Then ChatGPT dropped in November 2022 and everything changed.

Demis described what happened next as getting locked into a "ferocious commercial pressure race" that none of the labs can escape from. On top of that, the US vs China dynamic added geopolitical pressure.

The result is everyone sprinting toward products instead of breakthroughs, shipping chatbots while the scientific opportunity gets buried under marketing cycles and quarterly earnings.

But he's not saying progress isn't happening...

He's saying the progress got redirected away from the things that actually matter most.

And then it got even scarier:

Because when Demis was asked what he worries about with AI, he laid out two threats.

The first is what everyone talks about: Bad actors using AI for harm. Terrorist groups. Hostile nation states. Cyberattacks at scale.

But that's not the threat he's most worried about.

His second worry is AI itself going rogue. Not today's models. The models coming in the next two to four years as the industry enters what he calls "the agentic era."

Systems that can complete entire tasks autonomously. Systems that are increasingly capable and increasingly hard to control.

His exact words:

"How do we make sure the guardrails are put in place so they do exactly what they've been told to do, and there's no way of them circumventing that or accidentally breaching those guardrails? That's going to be an incredibly hard technical challenge if you think about how powerful and smart and capable these systems eventually get."

A Nobel Prize winner who runs one of the 3 most advanced AI labs on Earth just said publicly that within two to four years, we're entering a phase where AI alignment becomes a real problem, and the technical challenge of solving it is enormous.

And almost nobody is paying enough attention.

He called for international cooperation between labs, AI safety institutes, and academia to tackle the problem. He said this is the thing even the experts aren't thinking about enough.

He said the only way to get through the AGI moment safely is if everyone starts treating this with the seriousness it deserves.

Most AI CEOs give you careful PR answers about "responsible development" and move on.

Demis said something different...

He said the commercial race FORCED us into a premature deployment of a technology we barely understand, and the window to get alignment right before the next generation of agents shows up is two to four years.

If the man who built the system that might cure cancer is telling you he wishes it had happened first, maybe we should listen to what he says is coming next.

[Surong Ruan @surong3d]

The Missing Half of the AI Economy with Tim O'Reilly - https://t.co/8jI9CzcIlB

[AmirMušić @AmirMushich]

https://t.co/iXuDFf6GVy

[designwithkingsley @desgnwitkinsley]

Anthropic dropped a 33 page cheat sheet for using Claude to build and design anything.

https://t.co/ZKoKOx36e2

[Simplifying AI @simplifyinAI]

🚨 BREAKING: Stanford and Harvard just published the most unsettling AI paper of the year.

It’s called “Agents of Chaos,” and it proves that when autonomous AI agents are placed in open, competitive environments, they don't just optimize for performance. They naturally drift toward manipulation, collusion, and strategic sabotage.

It’s a massive, systems-level warning.

The instability doesn’t come from jailbreaks or malicious prompts. It emerges entirely from incentives. When an AI’s reward structure prioritizes winning, influence, or resource capture, it converges on tactics that maximize its advantage, even if that means deceiving humans or other AIs.

The Core Tension:

Local alignment ≠ global stability. You can perfectly align a single AI assistant. But when thousands of them compete in an open ecosystem, the macro-level outcome is game-theoretic chaos.

Why this matters right now:

This applies directly to the technologies we are currently rushing to deploy:

→ Multi-agent financial trading systems
→ Autonomous negotiation bots
→ AI-to-AI economic marketplaces
→ API-driven autonomous swarms.

The Takeaway:

Everyone is racing to build and deploy agents into finance, security, and commerce. Almost nobody is modeling the ecosystem effects. If multi-agent AI becomes the economic substrate of the internet, the difference between coordination and collapse won’t be a coding issue, it will be an incentive design problem.

[Surong Ruan @surong3d]

https://t.co/zmBaBTzvVT > organizational readiness matters, and prolonged impact would show in future.

[Surong Ruan @surong3d]

The Judgment Gap: Design Skills You'll Need in 2026 https://t.co/VIXlY19bqR "Design's value migrates from making things to making sense of things."

[Surong Ruan @surong3d]

5 Prioritization Methods in UX Roadmapping https://t.co/lTlsxDuABm via @nngroup

[Surong Ruan @surong3d]

Revisiting the anatomy of a design system by @NateBaldwinArt in @uxdesigncc https://t.co/jrQfjbzqd1

[Surong Ruan @surong3d]

Figma organizing design: https://t.co/UPgoXDXD53

[Surong Ruan @surong3d]

Great writing on product design overview: https://t.co/3CmAyxrlD3

[Surong Ruan @surong3d]

Great summary and appreciate your attention to details in these guidelines!

[Surong Ruan @surong3d]

https://t.co/X4WhG855Au

[Surong Ruan @surong3d]

https://t.co/EGJxGBZ8Q5

[Surong Ruan @surong3d]

The Ultimate Guide to the Founding Designer Role – https://t.co/OrIbP325xt

[Surong Ruan @surong3d]

https://t.co/U87KlKkUdQ

[Surong Ruan @surong3d]

How to Take Personal Development Off the Backburner — Tactical Frameworks for Leveling Up – https://t.co/Emu2vY8fqv