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    Announcement

    FuseUp's public debut is set for October 20, 2026

    A post describes FuseUp as a community organized around problems worth solving, where scientists, engineers, companies, funders and labs can bring different resources to the work.

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    TLDR

    A post says FuseUp is building a community around problems rather than companies, jobs or repositories. Its author argues that AI could help small teams tackle work that once required much larger organizations. The post says FuseUp will go public on October 20, 2026, at 1 p.m. Pacific.

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    13.7K

    6 Sources, first seen 9h ago

    Combined views

    13.7K

    6 Sources, first seen 9h ago

    34 likes
    9h ago
    first seen 9h ago
    34 likes
    8 comments
    7 saves
    7 reposts

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    8 comments
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    7 reposts

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    6 Sources

    @ScobleizerI keep thinking about what happens when AI gets good enough that intelligence is no longer the scarce part of solving hard problems. Then what is? The problem. The right people. Compute. Data. Labs. Funding. And ultimately, proof that what you built actually works. That’s why @letsfuseup caught my attention. FuseUp is building a community organized not around companies, jobs or repositories, but around problems worth solving. And they deliberately call them problems, not challenges. I like that distinction. A challenge can be invented. A problem already exists because something needs to change—and there is usually a real person on the other side of it. A scientist can bring expertise. An engineer can build. A company can bring a problem. A funder can back the work. A lab can test it. AI companies can bring intelligence and compute. You don’t have to bring everything. Bring what you have. Fuse it with what others have. Solve something none of you could solve alone. AI makes this especially interesting because small teams can now attempt things that once required enormous organizations. And if solving a real problem creates a valuable technology or company, that value can help the solution spread, reward the people who built it, and fund the next problem. Maybe that’s one of the best uses of all this new intelligence: Not just generating more content. Using it to solve things that matter in the real world. FuseUp goes public October 20, 2026 at 1 PM Pacific. http://fuseup.com
    @rohanpaul_aiEvery important problem has someone waiting on the other side of it. A family waiting for a treatment. A worker depending on safer equipment. A business trying to protect livelihoods by fixing a production problem. The consequences are personal, even when the brief is technical. On October 20, 2026, @letsfuseup is scheduled to open to the public. FuseUp is building a global community where scientists, engineers, founders and committed enthusiasts form teams around real scientific, engineering and commercial problems. The problem gives them a shared purpose; their different capabilities give them a way forward. A researcher in one country, an engineer in another and a company that understands the need can find one another through the same problem. People can contribute because they understand it, have a useful skill or care enough to help pursue an answer. AI expands what these teams can do. It can help them examine research, write code, use software, analyze data, run simulations and plan experiments. Computing power and remote laboratory services can connect digital work with physical testing. Human expertise, judgment and care give that work direction. Companies, foundations, universities and public organizations can publish problems and explain what success means. Teams apply or form around the work. Sponsors and providers can contribute funding, model-token credits, compute, data, laboratory access and specialist support to selected teams. The owner and team agree on the requirements before work begins. The customer or problem owner reviews the result against those requirements, with outside laboratories or specialists contributing evidence where needed. A Proof Receipt records what was tested, who reviewed it, what happened and where the result has limits. That makes the contribution of AI visible in real work: a design that survives testing, a process that wastes less, or an experiment that reveals what to try next. Useful findings, including well-documented negative results, can help others move forward. A solution that serves more people can become a product or company. A customer who has experienced its value firsthand may also become the team's first investor. FuseUp puts public benefit first while welcoming the commercial work that improves products, protects livelihoods and helps the community endure. The invitation is open to people with knowledge, organizations with problems, and partners with resources: form a team, back the work, help test a result or put a useful solution into practice. Follow @letsfuseup for the public opening and visit fuseup[.]com to take part.

    6 Sources

    @ScobleizerI keep thinking about what happens when AI gets good enough that intelligence is no longer the scarce part of solving hard problems. Then what is? The problem. The right people. Compute. Data. Labs. Funding. And ultimately, proof that what you built actually works. That’s why @letsfuseup caught my attention. FuseUp is building a community organized not around companies, jobs or repositories, but around problems worth solving. And they deliberately call them problems, not challenges. I like that distinction. A challenge can be invented. A problem already exists because something needs to change—and there is usually a real person on the other side of it. A scientist can bring expertise. An engineer can build. A company can bring a problem. A funder can back the work. A lab can test it. AI companies can bring intelligence and compute. You don’t have to bring everything. Bring what you have. Fuse it with what others have. Solve something none of you could solve alone. AI makes this especially interesting because small teams can now attempt things that once required enormous organizations. And if solving a real problem creates a valuable technology or company, that value can help the solution spread, reward the people who built it, and fund the next problem. Maybe that’s one of the best uses of all this new intelligence: Not just generating more content. Using it to solve things that matter in the real world. FuseUp goes public October 20, 2026 at 1 PM Pacific. http://fuseup.com
    @rohanpaul_aiEvery important problem has someone waiting on the other side of it. A family waiting for a treatment. A worker depending on safer equipment. A business trying to protect livelihoods by fixing a production problem. The consequences are personal, even when the brief is technical. On October 20, 2026, @letsfuseup is scheduled to open to the public. FuseUp is building a global community where scientists, engineers, founders and committed enthusiasts form teams around real scientific, engineering and commercial problems. The problem gives them a shared purpose; their different capabilities give them a way forward. A researcher in one country, an engineer in another and a company that understands the need can find one another through the same problem. People can contribute because they understand it, have a useful skill or care enough to help pursue an answer. AI expands what these teams can do. It can help them examine research, write code, use software, analyze data, run simulations and plan experiments. Computing power and remote laboratory services can connect digital work with physical testing. Human expertise, judgment and care give that work direction. Companies, foundations, universities and public organizations can publish problems and explain what success means. Teams apply or form around the work. Sponsors and providers can contribute funding, model-token credits, compute, data, laboratory access and specialist support to selected teams. The owner and team agree on the requirements before work begins. The customer or problem owner reviews the result against those requirements, with outside laboratories or specialists contributing evidence where needed. A Proof Receipt records what was tested, who reviewed it, what happened and where the result has limits. That makes the contribution of AI visible in real work: a design that survives testing, a process that wastes less, or an experiment that reveals what to try next. Useful findings, including well-documented negative results, can help others move forward. A solution that serves more people can become a product or company. A customer who has experienced its value firsthand may also become the team's first investor. FuseUp puts public benefit first while welcoming the commercial work that improves products, protects livelihoods and helps the community endure. The invitation is open to people with knowledge, organizations with problems, and partners with resources: form a team, back the work, help test a result or put a useful solution into practice. Follow @letsfuseup for the public opening and visit fuseup[.]com to take part.