Bob Labs

Builder

[Caco @Caco12]

So you telling me that InferenceFi is the first marketplace in the world where AI tokens will be listed with proof of exactly which model answered, at which precision, pinned to a block and you are not bullish?

So you telling me people like @enrico_otta and @samjavadi , who come from the very top of tradfi decided to build it on @Tensorcash still the only place i know where provable inference is live today?

Why would they do that?
To be the first of their kind into a market of around 150 billion dollars a year. A commodity that needs a market structure nobody has built yet bcs all of crypto is still stuck on the useful part lol

Even @AnthropicAI 's frontier research needs a 19 MB proof per 1024 tokens while on @Tensorcash it is around 160 KB and it is in every block.🤣

So you either believe a market like this can exist without proof and then you are every sellers perfect client or you just realised where the money is.

Hyperliquid of inference $TSC

[TensorCash @Tensorcash]

Mining should produce something people actually need.

That is the first principle behind the TensorCash protocol.

The work that secures the chain is AI inference, so the electricity spent on mining produces answers people can use, each with a proof of the model that wrote it.

[Bob Labs @boblabs_eu]

@cpd96888 @Tensorcash People buy because they know

[TensorCash @Tensorcash]

A miner on the TensorCash network wrote a website for a coding agent on Qwen3.8-27B, and received 0.01136 TSC for this inference.

Inference and a shot at the block reward, from the same unit of electricity.

A live run by @boblabs_eu, an independent team building on the network.

[TensorCash @Tensorcash]

Great to see verifiable inference getting the attention it deserves. Tensorcash is the layer-1 where it is running in production, today.

[Prof. Gonzales @xProfGonzales]

Revolut reportedly cut its AI coding costs by 90% by switching to open models.

Now imagine how many companies are about to realize they're paying WAY too much for AI through providers like OpenAI and Anthropic.

I genuinely think this is where the next big shift in AI is happening.

But there's obviously a problem (for some at least)

Not every company can afford to buy dozens of expensive GPUs, hire engineers and maintain its own AI infrastructure like Revolut just did.

And that's exactly where tensorcash:native and @inferenceFI become so extremely interesting.

There are three major opportunities here:

• Don't own GPUs? inferenceFI is building a marketplace where businesses can buy open-model inference without having to run the infrastructure themselves.

• How do you trust the provider? TensorCash makes AI model execution verifiable, so you're not simply trusting someone who claims to be running a particular model.

• Already own GPUs? Use them for your own AI workloads, and monetize spare capacity through TSC mining or by serving inference to others.

And possibly the best part of it all is that the same AI computation can serve a paying customer AND contribute to securing the TensorCash blockchain.

→ One GPU workload, two purposes

I think we're going to see a LOT more companies moving towards open models over the coming years,

And @Tensorcash is positioning itself on both sides of that market, instead simply just offering cheaper AI inference.

This is just the beginning, position yourself accordingly

[Bob Labs @boblabs_eu]

@Tensorcash Game changer

[TensorCash @Tensorcash]

On TensorCash, two people can trade directly, with no one else in between. The funds stay in their own wallets until the trade settles, removing the risk of an exchange losing or freezing them.

This video follows one of those trades, from the offer to the block it settled in.

One unit of a call option on the network’s difficulty was traded for 0.9 TSC. The option and the TSC moved in one transaction, straight from one wallet to the other.

Each trade on the protocol is trustless, and neither side can end up paying without receiving. All in an ordinary transaction, with no escrow, no multisig and no trace of the negotiation, which keeps it cheap and private.

[DevDoSomething (DDS) @devdosomething]

This one's for the PoW miners out there. @boblabs_eu's work on $TSC is worth your attention imo, especially if you're running GPUs.

What should have your attention is where the demand could come from. People already spend money on AI tools that help them get things done i.e. ChatGPT, Claude, Cursor, API bills, the usual. Give those buyers something worth coming back for and they don't need to understand mining or care about crypto.

If @Tensorcash can capture some of that demand and turn it into ongoing paid work for its providers, GPU miners and people running AI models at home could use compatible setups to get paid for useful output while competing for TSC mining rewards. That's why I'd like more GPU miners to pressure test $TSC and share their own numbers.

Bob Labs gives a useful starting point here. Still they used a specific build and workload, so your own setup matters, but worth digging into if you're on GPUs. Can be verified via their showcase.

https://t.co/UwWhv4g8CI
https://t.co/2LMyfIfJbR

[DevDoSomething (DDS) @devdosomething]

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. https://t.co/qHuGwtC8Hv

[Bob Labs @boblabs_eu]

33,000 blocks of tensorcash:native in 14 seconds 🫧
Watch miners, pools and the SafeTrade listing shape the network, wallet by wallet.
57% of all mined TSC has never been sold.
👉 https://t.co/scZrOj9IUW

[Bob Labs @boblabs_eu]

@Karlsen_Labs @Tensorcash @BobLabs Interleaving: Inside one cell the 3 rounds differed by 0.01–2.4 %, so differences under 1–2 % are within the noise. An A/B/A/B run could move them by that much. An interleaved rerun with CPU accounting would answer both questions.

[Bob Labs @boblabs_eu]

@Karlsen_Labs @Tensorcash @BobLabs Thanks for checking.

Grind threads: they run the admission grind, an Argon2id nonce search that only happens when admission mining is on. These runs had it off (see cards/*.json). Each 256-token window does a single Argon2id evaluation, so the threads were nearly idle.

[Bob Labs @boblabs_eu]

@Karlsen_Labs @Tensorcash @BobLabs CPU load wasn't measured, so you're right that GPU time doesn't show the full cost. By design it should be small: the per-token work runs on vLLM's own engine thread without slowing decoding, plus one Argon2id evaluation per 256 tokens.

[Plata @platacrypto]

https://t.co/lhksuQ3Pms

[TensorCash @Tensorcash]

INFERENCEFI has been registered by @inferenceFI as a native asset on TensorCash at block 32,453.

Its issuer document, the INFERENCEFI Issuer Charter, is attached to the asset’s Issuer Control Unit (ICU) and describes what the asset is for and the rules it follows, with every version staying recorded on chain.

inferenceFI plans to use the native asset to publish index values on chain, and to create child assets under INFERENCEFI.<name>, such as markets, contract legs, outcome tokens and tranches, each with its own terms.

Under its rules, inferenceFI publishes what each index measures, and how it is calculated, no later than its first value. The chain confirms that each value came from inferenceFI, and once published, a value can’t be changed.

Beyond that, any native asset on TensorCash can, among other things, carry legal documents and holder-only disclosures, require zero-knowledge KYC, let holders vote on changes, and be traded through on-chain spot, repo and forward contracts.

[Bob Labs @boblabs_eu]

Verified inference is step one.

What comes next: @inferenceFI 👀

[Bob Labs @boblabs_eu]

On TensorCash, inference is mining.

Qwen3.8-27B, served live by a real miner's GPU. The miner's name sits under every reply.

That same work secures the chain, so anyone can prove which model actually answered.

Just the beginning 👀 @Tensorcash

[inferenceFI @inferenceFI]

The thesis inferenceFI was founded on: inference will trade like any other commodity. https://t.co/0FxSxceVv6

[TensorCash @Tensorcash]

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 https://t.co/lIsvwu1nk6.

Until then, no bridge is official.