The future leaves clues, Look beyond the noise.
Joined May 2024
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GhostOnChain retweeted
As @enrico_otta said on @MCGlive, the @Tensorcash protocol lets you prove which AI model ran a prompt, and that it wasn’t swapped for a cheaper, heavily quantised version.
That matters for two reasons.
1. Decentralized markets. Participants in decentralized markets, marked by their anonymity, can’t sell things that aren’t verifiable. The result is a closed market with a few “trusted” sellers, which brings a lot of flaws. The fix from the protocol is that sellers can use it to generate a proof that credentials what they sell, so the buyer now knows what he gets.
2. Security. TensorCash is a layer one where the proof of work is the inference itself. That only works if the work (the inference) can be verified. Without it, everything collapses.
So at the same time you allow an efficient and decentralized market to take place and a new market structure to emerge on a massive new commodity, while securing a blockchain and incentivizing miners to participate, through the verification protocol.
Creating a system where the chain is secured by one of the most in-demand commodities out there atm: AI inference.
GhostOnChain retweeted
Feels like native assets on the TensorCash protocol are a bit underexposed, especially now that inference is such a trending topic. But they deserve more attention.
In short, they are part of the financial layer of @Tensorcash. It enables companies to issue shares, bonds or stablecoins directly on the chain, with their rules, legal documents and holder-only disclosures built in.
A startup could, for example, issue its shares on chain, attach its articles of association, and share its quarterly numbers only with its shareholders. People hold and send those shares just like $TSC, bringing the advantages of a blockchain to traditional assets: they can be sent anywhere, at any time, without a middleman, and every transfer and every version of their documents is recorded on chain, where it can’t be changed afterwards.
For me, a massive strength is that it’s all built into the protocol. No custom smart contracts needed, which is where a lot of DeFi hacks come from.
It’s live on mainnet today, and we already registered one for @inferenceFI.
GhostOnChain retweeted
Tomorrow at 12:30 ET, early contributors @samjavadi and @enrico_otta join @MCGlive to talk about TensorCash and answer questions about the protocol.
This week on MCG powered by @fomo, @MetaDAOProject, times in ET
Monday 10/26
12:30 - $OVER @overdotcomputer w/@lililashka (@backabledotbiz raise)
1:00 - $CHOP @choplogsapp
Tuesday 10/27
12:30 - tensorcash:native @tensorcash w/@samjavadi @enrico_otta
1:00 - $ARX @arcium w/@yrschrade
Wednesday 10/28
12:30 - $UFG @ufgdefi w/@defidave
1:00 - $AI @longdotxyz w/@natan_benish
Thursday 10/29
12:30 - robinhood:0x72be1277e198d0c476869253cb4e62807e14533c @RaetoCC
1:00 - robinhood:0x7163ae1b5aea2f09ebc609c52b4dcac0a7a4bc2d @gagedotcash w/@0xbisbis
Friday 10/30
12:30 - $ANYONE @AnyoneFDN w/@0xneuratic
1:00 - robinhood:0xfce34d21a92069100e3226638140706cf03a266e @GldstnOnChain w/@SonofAdam777_
Watch on YT 👉 youtube.com/@MCG_Live
MCG Research terminal: mcgsignal.com
Learn to LP with @met_lparmy on @MeteoraAG
Convert to solana:USDvUSpnhCr9yBgj3UyVrD239HRUv4RsHwH2FxsWuMk w/@solomon_labs, link in bio
GhostOnChain retweeted
First crypto project in a long while that I feel is a “buy and forget”
Similar fundamental strength, strong team, strong community, and early vibes of early Kaspa, early Tao, early Qubic.
$TSC
GhostOnChain retweeted
I'm about to probably kick a hornet's nest with this question but why does Pearl exist when Bittensor has already been around?
GhostOnChain retweeted
TensorCash is a proof-of-work chain where the work is AI inference. Miners can sell this inference and get a chance at the next block with the same work.
It sets the standard for verifiable inference by attaching a proof of the model used to every answer.
GhostOnChain retweeted
Qwen3.8-27B (bf16) is now registered on TensorCash mainnet, a model reported as competitive with today’s top models.
From now on, coding and autonomous agent tasks can be bought as inference from the TensorCash network, a large step up from Qwen3-8B.
Block producers and miners are advised to upgrade to 1.2.3a-r2 before mining with the new model.
Smelling things 👀
tensorcash:native
刚才Bron Wallet 里居然搜到 tensorcash:native 而且还显示价格...要知道 TSC 还只在Safetrade上列出..太奇妙了...
@bronwallet 是一款专门面向机构、家办和高净值人群的机构级移动钱包。他们今年宣布集成的新项目有 Arc Hbar Stellar Pearl Gonka 这些无一不是具备机构级投资背景的项目。
TSC 作为独立L1，能被 Bron钱包主动且悄悄的集成...结合早上发现官推关注 DRW 旗下的 @CumberlandSays ，无法不让人浮想联翩啊....期待期待。
顺便说下，现在终于有个安安心心存 TSC的地方了... 金豆子必须存在安全的地方，独立管理的IPHONE+Bron Wallet让人放心。
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$TSC 👀
TensorCash v1.2.3 is out.
Multi-model verification, cascading verifier failover, VDF checkpoints and tougher RED block penalties.
⚠️ Upgrade nodes, miners and verifiers before mainnet block 31,400 (~Thu 15 Oct, 12:00 UTC).
Qwen3.8-27B mainnet registration follows.
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GhostOnChain retweeted
The TensorCash network produced an average of about 98.29 million tokens of Qwen3-8B output per second over the last 24 hours, roughly 246,000 pages or 820 novels every second.
This is inference capacity that can be sold to users to answer their questions.
With the upcoming Proof v5 aiming to lower latency, the same capacity can reply ever faster, and its value grows with it.
The future of decentralized AI is verifiable compute.
TensorCash is turning AI inference into a core part of blockchain security — where computation is provable, participation is accountable, and trust is built into the protocol. tensorcash:native
On TensorCash, securing the chain means running an LLM.
Every 256-token window gives a miner one attempt at the next block. With the chain setting the randomness, every block proves which model did the work.
With millions of attempts per block and only the winner getting checked, nobody knows in advance which one that will be, so every miner has to run the model they promised.
Still, every answer carries a record of each word drawn, enabling everyone to verify the model.
Inference that can be sold, verified and secures the chain at once.
As AI scales, verification becomes non-negotiable. @Tensorcash tensorcash:native
Believing in TensorCash means believing that the outputs of AI models must be verifiable at scale.
Inference is slowly becoming a commodity, and that brings risk. When silver became common trade, it was mixed with cheaper metals, until assay and hallmarks became the standard.
An AI answer is even harder to verify. Unlike silver, it cannot be assayed. Looking at it tells you nothing about which model produced it.
TensorCash makes inference verification a core part of the protocol. No one has to wonder whether they were answered by the model they paid for.
In a world where AI is a commodity, we believe inference that cannot be verified is worth close to zero.
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