AI illustrationA new view of our genetic code.
AlphaGenome Atlas maps predicted effects of nine billion possible DNA changes. A new starting point for people investigating how biology works.
FRONTIER CURIOSITY MEETS POSSIBILITY
AI is opening new possibilities in research, software and robotics. Explore what is possible today — and how it could make everyday life better.
For curious minds. For teams. For people who want to make a difference.

Biology, chemistry & mathematics
02 / BUILDSoftware & agent teams
03 / MOVERobots, vehicles & drones
04 / LIVEPeople & everyday work
01 / AT THE FRONTIER
Eight windows into research and practice. With sources, context and a clear view of what already works.
8 stories
AI illustrationAlphaGenome Atlas maps predicted effects of nine billion possible DNA changes. A new starting point for people investigating how biology works.
AI illustrationAnthropic’s compiler experiment and StrongDM’s software factory demonstrate coordinated AI work. People shape objectives, testing environments and the criteria for a useful result.
AI illustrationAtlas combines perception and movement in industrial handling tasks. Automotive factory trials show how humanoid robots are being prepared for specific workflows.
AI illustrationSpot collects inspection data along defined routes at POSCO. People determine what to inspect, review the measurements and decide what should happen next.
AI illustrationRetroChimera proposes ways to make complex molecules. Expert chemists assess the proposals: a current example of AI extending scientific planning.
AI illustrationOpenAI has released AI-generated mathematical research, some with computer-checkable proofs. The advance connects discovery, verification and human interpretation.
AI illustrationWaymo began welcoming public riders in Denver, San Diego and Tampa in September 2026. Access opened gradually within defined service areas.
AI illustrationSkydio documents civilian bridge and construction inspections. New software aims to connect imagery with asset information; existing deployments and announced features remain distinct.

02 / PEOPLE AT THE CENTRE
A calmer start to the day. Less searching. More attention for each other. This is how we want to shape AI: support that gives people breathing room.
A SMALL WINDOW INTO EVERYDAY WORK
Anna looks after customers and coordinates projects. Join her for three familiar tasks – and decide for yourself where AI can lend a hand.
The situation / 01
A customer conversation is coming up. Information is scattered across notes, with open questions still to sort. Anna wants to arrive prepared – and really listen.
Fictional project note
The customer wants to reduce manual handovers. A small pilot should be explored. Data quality is unclear. No start date has been agreed.
Anna decides.Priorities, commitments and the personal conversation stay with Anna.
2 tasks selected
Read it, change it, add to it. Your decision determines the next step.
View the example sourceYou can freely edit this text. Nothing will be sent.
What this could make room for
In this example, the preparation is now in place. Anna can focus on the conversation: listening, asking questions and deciding together.
What the support could look like
An agenda and a list of open questions are prepared. Anna reviews both, adds her experience and decides what to bring into the customer conversation.
With JavaScript enabled, you can choose tasks, edit a prepared draft and decide on the next step yourself.
The situation / 02
Two proposal versions, a missing permission, a question to follow up. Anna wants to see what matters without continually jumping between different notes.
Fictional task list
Compare two proposal versions. Access to the project space is missing. The delivery address needs confirmation. No deadlines have been agreed for these tasks.
Anna decides.Anna sets the order and decides who to contact.
2 tasks selected
Read it, change it, add to it. Your decision determines the next step.
View the example sourceYou can freely edit this text. Nothing will be sent.
What this could make room for
In this example, the tasks are organised. Anna can consciously choose what to do next – and where a break fits into her day.
What the support could look like
A shared task list and a follow-up draft bring the work into view. Anna checks the list and decides what matters now.
With JavaScript enabled, you can choose tasks, edit a prepared draft and decide on the next step yourself.
The situation / 03
A customer asks whether a workshop can include an online follow-up. Anna needs the relevant statement from the proposal and a clear view of what remains open.
Fictional proposal · Follow-up
The proposal includes a half-day workshop on site. An optional one-hour online follow-up can be arranged. Its date and price are still open.
Anna decides.Anna checks the terms and discusses the answer with the customer.
2 tasks selected
Read it, change it, add to it. Your decision determines the next step.
View the example sourceYou can freely edit this text. Nothing will be sent.
What this could make room for
In this example, the statement and its source are ready. Anna can discuss the open points with the customer and agree on the next step personally.
What the support could look like
The relevant proposal passage and an answer draft sit together. Anna can check the source and clarify the open terms personally.
With JavaScript enabled, you can choose tasks, edit a prepared draft and decide on the next step yourself.
All people, documents and workflows are fictional. The text is prepared, not generated live by AI. Your choices and edits stay only in this view. No messages are sent and no work processes are triggered.
SOFTWARE / FROM IDEA TO TOOL
Define the task, develop the software, check the result: explore how people and AI agents can work together. Try a small, working tool for yourself.
A prepared educational reconstruction, not live AI. The task board really works; its tests run in your browser.
Your brief
Choose extensions and explore the workflow one step at a time. The prepared board responds immediately to your choices.
WORKING PREVIEW
Sample data · Only in this tab
Tasks exist only in this tab. Reloading resets the preview. Nothing is published.
Enable JavaScript to edit this example board and run its local tests. The four stages show the workflow: define requirements, build, test and review together.
04 / THE HORIZON
More capable systems bring big expectations and open questions. Superintelligence is presented here as a future scenario, not an achieved capability.
SCENARIOS · NO ARRIVAL DATESLonger tasks, fewer interventions. The question is whether systems can work reliably in unfamiliar situations while people retain oversight.
AI could accelerate research cycles: proposing ideas, planning experiments and checking results. A hypothesis becomes knowledge through sound validation.
Robots could take on a wider range of tasks. Dexterity alone is not enough: reliability, cost, energy and everyday usefulness matter too.
CURIOUS ABOUT HOW IT WORKS?
Train a small neural network right in your browser. Watch a pattern emerge from examples in our AI lab.
Enter the AI labWONDER. UNDERSTAND. PUT IT IN CONTEXT.
We link primary sources and distinguish findings, announcements and future scenarios. These stories are a curated selection, not a comprehensive news feed. Reviewed 13 October 2026.
Published research. Results are tied to particular tasks and evaluations.
A capability has been shown. This does not establish general everyday reliability.
A system is being tried under limited conditions. Broad rollout is still ahead.
The described application is already in use, within its specific operating scope.
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