Nockchain Phase 2: faster, more agile, and more scarce than ever. Coming soon.

2x and inverse funds come to @RWASTREET early next week. $NVDA 2X $TSLA 2X $NVDA Inverse $TSLA Inverse Two funds per stock: about 2x the move, or the opposite of it. On Robinhood Chain. Friday's roadmap said "now building." This is the demo. rwast.app/?terminal

Join us tonight talking about what's new at Sibyl as well as some chit chat around the new Base onchain strategy x.lingyaoai.com/i/spaces/1yKAPwyzvqzxb…

A couple of things have changed since I last posted about robinhood:0xeb24a2663af4ee979dcbfe39cb95b5f12d369c4b. The team reports 32 Social Agents deployed on its beta launchpad and over $5,000 in revenue. Also mentions that users are buying inference credits with USDC, though I haven’t found a public breakdown of those purchases or the revenue yet. That’s what I want to see next. Another 10 million CEREBRO went to the dead address. It now holds just over 20 million, about 2% of total supply. x.lingyaoai.com/Cerebro_RH/status/2102… Chart looks great.

Im probably going to increase my $nock bag until the end of this year or price goes up above 0.1 or 0.2. Ive held it since otc days, might as well add more n more to see how this plays out.

The Launchpad is still in beta, but we’re already starting to see real activity around the first batch of Social Agents. -32 Social Agents deployed. -$5,000+ in revenue generated. That revenue is now being used by Cerebro to acquire more inference, while users are also purchasing Inference Credits with USDC and consuming those credits as they deploy, run and test their agents. This is what we wanted to see. No credits sitting idle. Inference being purchased. Inference being consumed. Agents actually being put to work. And Social Agents are only the first type of agent we’re bringing to the Launchpad. Still beta. Still plenty being built. But the consumption side of Cerebro is starting to come alive.

There have been a wave of projects recently trying to present itself as a better version of base:0x9b5e262cf9bb04869ab40b19af91d2dc85761722 I am not using any names because this tribalism of "my project is better than project XYZ" is ridiculous but I do like to point out a few things about this conversation i see repeatedly on X. In the end, all of these "competitors" (they are really not) slightly differ and some are indeed technological novel BUT the bet is the same: They all need inference demand to support token incentives. They are basically either turning block rewards into a floating discounts on compute or using tokens to bootstrap their GPU marketplace whose main pitch is cheaper inference. Neither of them have anything to offer that serious and large scale AI operations would optimize for: Model quality, latency, uptime and predictable cost. Cheap compute already exists and adding a token does not create a moat. @nockchain on the other hand has a much broader vision: Money and computation can move under private and programmable rules and be settled with proofs. Agents will in the future hold money, pay for compute or tools, settle conditional jobs without exposing the underlying strategy. They will be able to commit funds to a job, release payment only when the predefined result is verified and prove that the transaction was valid without revealing the prompt, model, output or commercial relationships. For all of this, inference is one possible service but not the identity of the network. That's why pure inference networks are imo too small minded and unlikely to be used in large scales without token speculation anyways. They ask how to sell GPU time cheaper, base:0x9b5e262cf9bb04869ab40b19af91d2dc85761722 asks how autonomous machines can own money, make contractual agreements and transact privately without the need of 3rd party services or any oversight.

I bought back a lot of @Stockify_fi at this range cause chart looks good. Its not just another stock launchpad. It uses trading fees to buy tokenized stocks and sends them directly to wallets holding at least 100K base:0xc6405d7a226e1c18e559be2f335f74c01ad07bf5. Every STFY trade carries a 3% hook fee. 90% buys an equal basket of NVIDIA, Apple, Google, Meta and SpaceX. The remaining 10% becomes protocol revenue. Stockify can also work for other projects. $STONKEX already routes fees into a Stockify treasury that buys STONKEX and burns it. stockify.finance/indices/0x4… When I checked, it had collected 26.93 ETH and destroyed 72.31 million STONKEX. Other Stockify treasuries can use the same system to buy stocks and pay them to holders instead.

What @sibyl_labs_ just did is pretty impressive to say the least. -365 teams registered but only 92 submitted in the end. -Out of those submissions 38 were code reviewed and 20 received awards. -$10,000 USDC + other perks went to the top five, paid on @base and the other 15 got consolation prizes. The top five built agents that prevented conflicting code changes, verified remembered claims onchain before paying, replayed browser work, preserved the reasoning behind prediction-market calls and set lending exposure from past jobs and defaults. Basically, 92 teams tried to show what becomes possible when an agent stops forgetting. That's pretty impressive when you consider that base:0x797f214a2cd64a4963a91fa21c8c55ec3eba4714 is just a 5 month old project.

Been aping some @Cerebro_RH cause chart looked great but also cause I found out that cerebro was not another AI agent project. Part of the fees generated by robinhood:0xeb24a2663af4ee979dcbfe39cb95b5f12d369c4b trading is used to give eligible holders AI credits. Holders can use those credits to pay for AI inference or sell them through Cerebro’s marketplace. cerebrocredit.xyz/ Their new agent builder is where the idea starts to make sense. Projects can create agents that post and reply using approved information, and those agents need Cerebro credits to operate. Trading produces the credits, holders earn them and agents give people a reason to use them. Its a🪰🛞x.lingyaoai.com/Cerebro_RH/status/2100… Yeah, despite what the chart looks like, its still early. When I checked, the dashboard showed $2,955.78 distributed across at least 100 wallets, while the marketplace was still very small. dapp.cerebrocredit.xyz/leade… The team sent 10 million robinhood:0xeb24a2663af4ee979dcbfe39cb95b5f12d369c4b ~ 1% of the original supply to the dead address, permanently removing it from circulation x.lingyaoai.com/Cerebro_RH/status/2100… So, the product exists and the basic system is already working. IF projects start using these agents and consuming the credits, robinhood:0xeb24a2663af4ee979dcbfe39cb95b5f12d369c4b becomes much more interesting than another token with AI in the description.