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Introducing Kaito Katalyst, a new reward layer for creator campaigns, where projects pay for what creators actually drive. This is the closest thing yet to the model many of you have been asking for, rebuilt with a better mechanism underneath and in line with platform rules. Built on Kaito's latest intelligence infrastructure, projects can attribute rewards using a flexible set of criteria, including mindshare, clicks, sign-ups, deposits, in-platform activity, and more. It is powered by our broader data agreement with X, our verification architecture with @Brevis_zk, and proprietary attribution infrastructure built in-house. We have spent the past two months piloting Kaito Katalyst with AI labs, consumer AI apps, smart hardware companies, and businesses across crypto and finance. Several are already in test mode, with some launching imminently. For TGE projects, we are also introducing a dedicated format with no service fee. Instead, projects put up a refundable deposit alongside the reward pool, so creators know the funds are committed before they post. Each campaign publishes its token allocation pool and vesting terms upfront, so creators know exactly what they are earning and when. 80% of each token pool goes to the creators who drove the results, while the remaining 20% goes to $KAITO stakers and YT-sKAITO holders on @pendle_fi. Long-term holders and Yapybara holders earn a multiplier for their commitment. This brings back the Stakedrop mechanism we have run since 2025, accruing significant value to the broader Kaito ecosystem - equivalent to a ~136% annualized return. The market structure may look different from the last cycle, though our biggest opportunities have always come from experimental breakout projects - the very teams this format is best suited for. It allows promising projects to get bootstrapped without an upfront cost, gives more creators access to real opportunities, and enables those backing Kaito to share the upside. The same structure can also extend beyond traditional token launches to tokenized equity projects willing to use tokens or equity to accelerate their growth. If this sounds relevant to your project, reach out to our team today. Much more on the way.

I think the most interesting thing about Jack Dorsey's "Slack killer" is the idea around shared compute. I haven't seen people talk about it so here are my thoughts FWIW: Open models got good, close enough to the paid frontier stuff to run for real. But the strongest ones need expensive hardware most people probably won't buy alone, and it's kinda a pain to set up if you aren't technical. Shared compute solves exactly that. In Buzz, one person runs the machine, loads up an open model like Google Gemma, and everyone in the community plugs into that same model. Basically, a whole group has real AI they own and control together, running on their own hardware, learning from their own data. Once you see it, a bunch of things click into place. 1. A community can now run a top open model together, on a machine they own, instead of renting from a lab. 2. It learns from the group's private data and gets sharper over time, and all of that stays inside the community. 3. A narrow, private model can quietly get better than ChatGPT for the one world your group lives in. 4. It's impossible to copy, because the edge is the private data on your machine, not the model itself. 5. The moat stops being how smart your AI is and becomes whose data it learned from. 6. Compute becomes something you share like a building shares a gym. 10 people split one machine instead of 10 people each renting forever. 7. Idle compute becomes income!!! Your machine sits dead half the day, so it earns money renting that time to someone who needs it. 8. Communities become the unit of intelligence instead of companies. The group with the smartest shared brain wins, and being a member means owning a piece of it. 9. A shared brain becomes an asset you build equity in. You put in money and data, it appreciates, and your slice is worth something the day you leave. 10. The whole thing runs on open protocols, so the group keeps full control and nobody outside can throttle it or shut it off. You know me, obviously, my head went to what startup ideas come to mind here. Adding them to @ideabrowser soon. Well… 1. The vertical brain. Pick one profession, tax lawyers or real estate agents or indie game devs, and build the shared machine trained on everything that group knows between them. A year in it's the smartest AI in that field, impossible to copy, and you own the club it lives in. 2. The rental marketplace for collective brains. Once these private models exist, outsiders will pay to use them. You build the layer where a group lists its brain, an outsider pays per task, and the money flows back to the members while you take a cut. A marketplace for expertise, not compute. 3. The idle-compute exchange. Every shared machine sits unused half the day. You build the market that rents that dead time to whoever needs the power right then, so owners earn money off a machine that was just sitting there. Idk where Buzz goes, but it's cool to see Jack putting it out. Right now the way it works in AI is you rent your intelligence from a few giant labs that own the machine, set the price, and hold the off switch. Shared compute flips that, because a community can run the model together, feed it their own private data, and keep full control of the whole thing. It's one of those things that might look tiny today, but Jack does has a habit of being early.

🚨🇮🇳BREAKING: India just ordered GitHub to take down Jack Dorsey's BitChat within three-hours. The mechanism explains why. BitChat runs entirely over Bluetooth, no internet, no servers, no phone number needed. That's exactly why NEET protesters started using it after mobile internet got suspended around Parliament and Jantar Mantar this week. China already pulled BitChat from its App Store twice this year for the identical reason, protest coordination during Iran and elsewhere. India's citing public order and unlawful assembly risk under IT Rules. Jack Dorsey's saud: the government doesn't like technology it can't turn off. You can shut down mobile data. You can't shut down two phones standing next to each other.