
Labor omnia vincit Finding bangers, never financial advise - informational tg @thecryptoceo alpha @chiefexecclub
Joined February 2021
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It’s rare to come across a project that ticks so many boxes.
Former Goldman Sachs & Morgan Stanley talent, institutional connections, verifiable AI inference, a fair launch, declining emissions and an enormous addressable market. $TSC
All roads lead to @InferenceFi this week and none of them were built by us.
Vincent Zhong from Liquid AI: same open model scores 78 to 89 percent depending on which provider you hit bcs providers quietly quantize and swap kernels and you cannot tell.
OpenRouter: biggest router change since founding from price first to quality first. Requests cost 7 percent more and people take it.
Now read what @inferenceFI posted last week. Three problems: you cannot test an answer at the dock, you cannot store supply, and todays market prices the rig instead of the oil. The fix: every answer on @Tensorcash carries a proof of the model that wrote it every token is verified and identical whoever produced it, speed is a service level priced in the open and an index of real verified output read from the chain. Order books for LLM tokens in their own words.
Two outsiders described the problem this week without knowing we have already $TSC solving it. The design for the answer is already on chain still being built, still early, still quiet.
...and still on Tradfi frontruning mission anon ❤️ $TSC
nitter.cf/vincentzed_cuda/status…
nitter.cf/OpenRouter/status/2115…
cryptoceo retweeted
A short version of how everything around @Tensorcash fits together:
@Tensorcash is the base. A proof of work chain where the work is AI inference, and every answer carries a proof of the model that produced it. On top sits a financial layer - native assets, settlement, compute derivatives, a coordination layer for trading directly between parties, and a DEX in research. Native assets, compute derivatives and the coordination layer are already live on mainnet.
@inferenceFI is building the market on top of that verified output - order books for LLM tokens, with its index values published on chain.
@AskTillyAI is where people will use it - a simple AI app for chat and agents, coming online later.
From the GPU to the user, all on the same rails. We’ll publish a full article soon on how it all connects, and what comes next.
cryptoceo retweeted
I built POW Valuation Lens so when I hover on any SafeTrade candle it shows me MC (at that day's supply via official stats) + FDV.
Used @AskTillyAI on Qwen 27B (Tensorcash miner) then built and finalized in Codex. Receipt covers one coding response.
cryptoceo retweeted
The only way to make it in crypto right now is to buy something that can survive for years. Ignore the scams and hype, don’t blindly trust anyone, and do your own research
cryptoceo retweeted
The thesis inferenceFI was founded on: inference will trade like any other commodity.
cryptoceo retweeted
One of the few projects I will hold for a long time.
I don't post much, but truly bullish this one.
Found Nock, Pearl and Quantus ~1 year pre genesis block. All went to or sit north of $1bn. Currently one other project live and one to come that’ll likely take the same trajectory. Don’t need to be trenching 24/7 with Cheeto dust on your chest if you can spot quality early. Goal is financial freedom, not a full-time career refreshing dexscreener
cryptoceo retweeted
Questions have come in about community-built web wallets, extensions and EVM bridges.
No official EVM bridge for TensorCash has been released. A supported bridge will only be announced here and on tensorcash.org.
Until then, no bridge is official.
cryptoceo retweeted
Read the quoted post and then check the image.
Just a coincidence rrrriight 👀 tensorcash:native
I am never leaving this app LMFAO
>be Don Wilson
>predict compute markets will be > than oil within 10 years
>anons call you delusional
>lmao.exe
>fyi this is your track record
>1992: found legendary prop firm DRW
>name it after your own initials (omega based)
>pioneer quant and electronic trading
>your firm trades Bitcoin in 2010 (bruh)
>launch Cumberland in 2014
>become one of the biggest institutional LP in crypto
>co-found Compute Exchange and back Silicon Data to build GPU markets and pricing indices
>literally became a billionaire by being early for over 30 years
like bruh you’re literally arguing about markets with a man whose racing sailboats are called “Convexity” LMFAO
you can’t make this shit up
incredible stuff thank you for the laughs
cryptoceo retweeted
One day after Qwen3.8-27B went live on mainnet, it is already serving paid traffic: a full coding session, served by a TensorCash miner and sold through @AskTillyAI, an independent operator on the network.
Every request came with a proof of which model did the work.
An autonomous coding agent ran for 28 minutes on a @Tensorcash miner via the AskTilly API. One prompt, and it built this animation on its own for the client.
We sold the session for $0.16 and the miner was paid in tensorcash:native. A day after the model went live, already at market rates.
so let me get this straight
a $20m AI inference blockchain has former Goldman Sachs MD Enrico Ottavian building around it
he's connected on LinkedIn to David Ha, founder of NVIDIA-backed Sakana AI ($2.65bn valuation), and Max Boonen, founder of B2C2 ($2tn+ traded)
now Nate/nathereum, who lists himself as VC at Cumberland DRW, is following tensorcash:native
DRW is a Wall Street trading giant that traded $824bn in ETFs alone back in 2020, with its crypto arm providing liquidity to Goldman Sachs and Nomura
all this around a $20m project. probably nothing
这周把目前 @Tensorcash 实名支持者 @enrico_otta (简称EO)的公开履历重新追溯了一遍。
不是翻一遍LinkedIn就算了,我还把网络公开的高盛旧名单、任职公告、论文、法律文件和收购材料一条条交叉核对。
EO在高盛超过11年,2013年升任MD,离职前负责EMEA及美国利率产品结构化。
而在同一届2013年高盛晋升MD名单里 居然还看到了 @SakanaAILabs CEO David Ha @hardmaru goldmansachs.com/pressroom/p…
Everyone on my timeline talks AI this compute that and almost nobody asks where the money actually goes.
It goes to inference but running the models not training them. Out of all the computing power used for AI this year two thirds goes to just answering questions imagine that. So not for building smarter models it is just for running them. That is inference my bros and that is where the money is atm.
Ok, fine now we say a project actually produces inference. We are talking about real models, real answers and proof on every one.( only 1 projects does this on this way tbh ngl).
Then the real question starts. Who buys it? How do you sell it? What is the unit , how is delivery proven, how does a datacenter hedge and who settles the trade? Hmmmm InferenceFI?!?!? Yes
Oil figured this out over a hundred years. A standard barrel, an assay, forwards and clearing. So without that oil is just a black liquid in tank.Crypto devs know how to build the machine but most of them have never seen how a real market is built and it is true.
That is why one detail in this race of AI INFERENCE MANIA matters to me. The guy building the commercial side on this chain spent over a decade at Goldman structuring rates products.Let me explain better so building markets that institutions can actually use was literally his job.
Most compute coins cannot even produce proven inference. The one that can is also the one with a market built around it. That is not a coincidence that is the whole point my friends . $TSC
BlackRock sees AI compute as an emerging digital asset market
Carmen Li (ex-Citi) is building a GPU exchange
Alan Chang (ex-Revolut) sees spot and futures markets for AI tokens
Meanwhile, ex-Goldman Sachs and Morgan Stanley talent are building around tensorcash:native
Great deep dive from @xProfGonzales
cryptoceo retweeted
Verified inference at this scale needs a buyer. We're building it at @AskTillyAI: the market where TensorCash capacity gets bought, paid for, and settled. Tokens per second in, revenue per second out.
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.
























