I keep coming back to tensorcash:native because I don't think the valuation reflects what they're trying to build.
If I pay for a particular AI model, I want to sure that said model is what actually ran. @Tensorcash is building around that problem. Miners run supported models and produce evidence you can check, and that same work can compete for mining rewards. The checks concern which model ran, not whether every answer it gives is correct.
Currently, TSC is around $78M FDV. A larger AI-mining project is around $3.89B in comparison, almost 50x the FDV. Obviously that doesn't mean TSC deserves the same valuation, but it does make me wonder how much is being overlooked here.
@AskTillyAI reports that a coding agent used a Tensorcash miner to build an animation, with the miner paid in TSC. They published receipts and a transaction link. I want to see more of this, especially customers coming back and paying again.
There is also a 40% mining reward cut at block 45,045, taking the reward from roughly 55.60 to 33.36 TSC per block. If paid usage grows while fewer new coins are being issued, that becomes a very interesting setup.
Liquidity is thin on @safetrade and repeat demand still has to prove itself. But a project trying to make AI compute useful, checkable and payable at this valuation deserves a closer look imo. The video explains the idea better than a wall of technical terms.
Soon
base:0xc6405d7a226e1c18e559be2f335f74c01ad07bf5
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.
Soon
base:0x797f214a2cd64a4963a91fa21c8c55ec3eba4714
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.
Soon
robinhood:0xeb24a2663af4ee979dcbfe39cb95b5f12d369c4b
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🪰🛞xitter.cf/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 xitter.cf/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.
I posted about base:0x9b5e262cf9bb04869ab40b19af91d2dc85761722 last week and, naturally, it pulled back almost immediately.
Now look at the chart again.
@nockchain recent article doesnt pretend the job is finished. ZK proving and AI work can already secure the same chain, but they say the current mining puzzles are not yet fully useful.
Getting real compute demand onto that network is the next step.
That is still the bet for me because Nock jeets need to be punished.
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🪰🛞xitter.cf/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 xitter.cf/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.
🤖 Made with AI
1% of Cerebro supply burned. 🔥🧠
robin.etherscan.io/tx/0xcbd9…
Today, we permanently removed 1% of the total supply from circulation.
Which is worth approximately $33,000 at the time of the burn.
No complicated reason behind it. Cerebro has grown quickly since launch, and the community has continued to back what we’re building. Good things take time, effort and conviction.
We also understand the market conditions this week haven’t been easy, so we felt the community deserved a little boost of confidence.
We keep building.🧠
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.
🤖 Made with AI
The Sibyl Labs Hackathon has officially concluded!
Congratulations to the top 20 teams taking home prizes ranging from $4,000 cash, to 30 day startup accelerator programs backed by @base and @virtuals_io, to 30-day Claude Pro subs, and 90 day Sibyl Memory packages.
Every fresh start carries a cost: repeated work, relearned websites, rechecked counterparties, capital locked without history, and predictions without their reasoning.
Our SIBYL Hackathon winners show how memory can reduce cost, and improve agents' performance.
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.
The base:0x797f214a2cd64a4963a91fa21c8c55ec3eba4714 staking page has been rebuilt and it is now much easier to use. There is a terminal in the header and a command menu on every page, so you can type commands such as stake 1000 60 or claim.
You see exactly what the command will do before anything is sent to your wallet.
You can connect with a browser extension, scan a QR code from your phone, or use a passkey without installing an extension.
Nine wallets are listed directly, Coinbase Wallet (formally base wallet) should connect more smoothly, and WalletConnect gives access to 240+ more.
Try it here: sibylcap.com/stake





















