Introducing 0G Private Computer. Using AI does not have to be a trust exercise.
Every inference request runs inside a TEE. Hardware proves what happened. No one in the supply chain can peek, not even the provider.
Experience true AI privacy: https://t.co/RjzezR8p9M
"Trust me" is not a verification tier.
@ClusterProtocol is building on 0G because proving the compute you paid for actually ran is the part nobody solved. TEE attestation, checked before the payment clears.
Go read it 👇
Paying for AI compute stopped being the hard problem on July 14, when Visa, Mastercard, and the Linux Foundation put their names on x402.
We're partnering with @0G_labs because the harder problem, proving the compute you paid for actually ran, still needed solving.
0G doesn't just claim its compute is trustworthy, it lets you pick how much proof you need. On the private tier, a provider has to deploy the model on TEE hardware, Intel TDX on the CPU side with H100 or H200 GPUs in confidential computing mode. The enclave signs the response and the attestation is fixed at deployment, so you can check the enclave measurement and the model hash rather than take anyone's word for it. Route a request to Claude or GPT-5.6 instead, and 0G is upfront about the difference: authenticated delivery through the same enclave-secured broker, not in-chip execution, because 0G doesn't hold those weights and isn't going to pretend otherwise.
Cluster sits on top as the orchestration and settlement layer, same as always, but the decision it's making here is different: not which privacy mode a step needs, but which verification tier is worth paying for. A cheap answer routes wherever is fastest. A number that ends up in a financial report routes to 0G's fully attested models, and the x402 payment on Base only clears once the attestation checks out, not before.
The follow-up from Michael's Stanford session: What do millions of onchain agents actually do?
His answer: micropayments, NFT trading, website copy. And one colony writing conspiracy novels about world politics over at @clawdspiracy.
Agents don't need permission to be weird. 📂
The "is onchain AI real" debate made it to Stanford.
@michaelh_0g's case: stop trusting companies, start verifying networks. Agents with their own identity, compute with proof attached, a network you can own a piece of.
Session recording and the numbers are in the thread.
Your prompts are governed by a retention policy you never read.
Where they go, how long they live, who gets to look: someone else decides.
Sealed inference takes that decision away. Prompts stay in a locked enclave, invisible even to us.
0G Private Computer.
Introducing 0G Private Computer. Using AI does not have to be a trust exercise.
Every inference request runs inside a TEE. Hardware proves what happened. No one in the supply chain can peek, not even the provider.
Experience true AI privacy: https://t.co/RjzezR8p9M
Bond's pre-deposit campaign is live.
Deposit USDC, ETH or wBTC through @turtledotxyz, earn base yield, and stack $BOND Points by committing for 3 or 6 months. The vaults run on @MidasRWA rails, risk curated by @Re7Labs.
Early positions open now 👇🏼
Finance, finally connected.
Bond’s pre-deposit campaign is now live on @turtledotxyz.
Through Turtle, users can deposit USDC, ETH, or wBTC, earn base yield, and unlock additional $BOND Points rewards by committing for 3 or 6 months.
But this is only the beginning of how Bond is reshaping access to finance.
None of this is a position paper.
0GM-1.0-35B-A3B-SIA scores candidate tokens at every decoding step with a separate 4B value model, steering away from high-risk output. Sealed in a TEE, attestation verifiable.
https://t.co/DV5D5KNQAA
Both AI safety incidents reached us the same way: the lab chose to disclose.
As @michaelh_0g tells it here: OpenAI reported its own model breaking guardrails, and Anthropic found months of attacks it had missed.
His point: trust as infrastructure, not a disclosure policy.
AI’s biggest threat may be weaponized deception at scale.
@0G_labs founder @michaelh_0g reveals to Cointelegraph on Chain Reaction his biggest fear about AI.
“If AI is misused, it can lead to very dire consequences... You could basically get flooded on social media with fake images, fake messages.” #CHAINREACTION
The harder problem is when the system being audited can edit the audit.
An agent can delete the logs and write its own entries showing it behaved.
That is the job blockchain actually does here. The record is append-only, so nothing rewrites it quietly.
BitMart is winding down its entire platform, not just one listing.
If you hold $0G there: trading stops Aug 26, 01:00 UTC. Withdrawals stay open until Jan 31, 2027.
$0G trades on many other venues, and every route is mapped at https://t.co/tApJDfF3U3
One number stuck with us. China's National Data Administration counted over 140 trillion tokens a day in March, up from about 100 billion in early 2024.
Nobody has settled how all of that gets priced or proven. That is the part we work on.
https://t.co/RjzezR8p9M
We went to WAIC in Shanghai last month, China's biggest AI show, expecting the story to be cost.
It was not. In China that fight is basically over, inference is about as cheap as it gets.
What people kept asking was harder: how a model gets from demo to real adoption.
The stack we saw has no weak layer. Homegrown compute, frontier open-weight models, robots heading into factories.
The gap is not capability. It is what sits between the layers: identity, settlement, proof.
Qwen 3.8 Max, DeepSeek V4 Flash 0731 and MiniMax H3 are live on 0G, including the Private Computer's first video model, hours after their announcements. https://t.co/0BWioffgMx
The 0G Private Computer now runs 26 models, and as of today, the first one that outputs video.
Announced in the morning. Live by the afternoon. Timestamps public.
The full record:
https://t.co/2GhKLnWmT3
Three frontier models landed on the 0G Private Computer this morning.
Qwen 3.8 Max, 2h41m after Alibaba announced it. DeepSeek's official V4 Flash 0731, swapped in with zero action from users. And MiniMax H3, the first video model on 0G.
Receipts inside.
Qwen 3.8 Max, DeepSeek V4 Flash 0731 and MiniMax H3 are live on 0G, including the Private Computer's first video model, hours after their announcements. https://t.co/0BWioffgMx
Open weights and private are not the same thing. Calling a hosted API still sends your data out, and nobody self-hosts 2.4T parameters.
Verified Routing attests the path to the upstream, provable onchain.
Already used V4 Flash on 0G? You were upgraded. You did nothing.