People and their projects

SpaceX

“You want to wake up in the morning and think the future is going to be great”

His vision is a spacefaring civilisation: a long-term ambition rather than a deadline.

OpenAI

“We are past the event horizon; the takeoff has started.”

In “The Gentle Singularity,” Altman lays out his forecast of accelerating AI progress. An archived author’s perspective.

AI · practice

“Today there are already more than twenty of them.”

Ivan is building his own digital team: more than twenty AI assistants for different tasks.

Anthropic

“Humanity is about to be handed almost unimaginable power”

Amodei asks whether our institutions are mature enough for this power. His forecast comes with a discussion of risks.

NVIDIA

“it is essential infrastructure, like electricity and the internet.”

Huang sees AI as a system of energy, chips, infrastructure, models and applications.

Unitree / China

AI enters the physical world.

The Unitree founder’s company develops quadruped and humanoid robots and tests physical AI in its own factory.

Google DeepMind

AI as a tool for scientific discovery.

Hassabis connects advances in artificial intelligence with scientific problems. Google DeepMind develops general-purpose models and specialised tools, including AlphaFold for studying protein structures.

World Labs

Teaching AI to understand space.

Fei-Fei Li develops spatial intelligence: models that work with objects, scenes and interactions in three-dimensional environments. World Labs builds tools for generating and exploring these worlds.

AMD

Processors and accelerators for AI.

Lisa Su leads AMD, which develops processors, accelerators and software tools for computing and AI. Her technology strategy spans an entire infrastructure, from individual chips to large systems.

Microsoft

Agents that take work through to completion.

Nadella connects Microsoft’s next phase with agents that execute workflows using an organisation’s context. His approach emphasises model choice, access controls and ownership of corporate knowledge.

Safe Superintelligence

Capability and safety as one research problem.

Sutskever leads Safe Superintelligence, a laboratory with a stated single goal: building safe superintelligence. The company treats capability and safety as connected scientific and engineering problems. This is a research ambition.

Research and education

Understand a neural network by building it.

Karpathy explains neural networks through lectures and compact open-source projects. His materials trace a path from the basic mechanisms of training to language models and practical uses.

Nebius

The infrastructure that runs AI.

Arkady Volozh is building Nebius as a cloud platform for the full AI lifecycle, from data and model training to running finished services. His focus brings together computing capacity, software tools and engineering support.

Grishin Robotics

Investing in early-stage technology companies.

Dmitry Grishin is the founding partner of Grishin Robotics. The fund backs early-stage companies across education, entertainment and tools for working together. Its approach starts with the user’s problem and the product.

Baidu / China

Search, cloud AI and robotaxis.

Robin Li leads Baidu, which develops AI cloud infrastructure, productivity applications and the Apollo Go autonomous ride service. His direction connects digital assistants with systems operating in the physical world.

Tencent / China

Social platforms and cloud services.

Ma Huateng, known as Pony Ma, sets Tencent’s strategic direction. The company connects communication, digital services and business tools, from Weixin and WeChat to cloud infrastructure.