tsigone

Life is good

[tsigone @Tsigone]

@Oji_yellow Teveel licht nog

[tsigone @Tsigone]

@WPPRCHD @elonmusk Me too pls

[JM @EDSA91]

Started to vibe code with @cod3rAi , made a small rpg game demo that still need some improvements but having fun with this process.

Project: https://t.co/HRZaP5kW4A

Play it and let me know how was it and what should be improved🧐

@IncomeSharks @smol_intern @degenApe22 @Spaxter_Chad @jazzplane @ToonCrypto @AlgodTrading

[tsigone @Tsigone]

@MbarkCherguia Uk trash at its finest ,marginalized ppl , worst to encounter on vacays beside the Russ

[tsigone @Tsigone]

@dfw_ugo Kid ur hand again before u get slapped

[tsigone @Tsigone]

@RealBababanaras Good thing

[tsigone @Tsigone]

@5am1am_6 He did fcked them all tho 😅

[tsigone @Tsigone]

@ronsterd89 A.i

[tsigone @Tsigone]

@MbarkCherguia Kid needs a whooping

[tsigone @Tsigone]

@jason_howerton Fun fact , men produce baby's , women carry them.

[tsigone @Tsigone]

@Jizere142 @Ore_Dear Ai vid lol

[tsigone @Tsigone]

@sogiddy Love ai

[tsigone @Tsigone]

@imsheepsol @absolquant If it's a friend , cut him some slack before acting. Never know what's going on untill u talk or see him

[tsigone @Tsigone]

@imsheepsol Petty

[tsigone @Tsigone]

@Sizylec_01 @Spiderman_Rich @OGgigachadcoin @OGgigachadcoin
Let's get it

[Sizylec 🦖 @Sizylec_01]

@Spiderman_Rich You like #Gigachad Eth

@OGgigachadcoin

[tsigone @Tsigone]

@0xKant_ @ReiNetwork0x El $REI of ai

[tsigone @Tsigone]

@0xKant_ Looks solid $TIG

[kant @0xKant_]

TIG as Runtime: Monetizing Algorithms at Execution, Not Hype

This article compares $TIG and $TAO — two bold visions for monetizing compute and intelligence on-chain. Please follow, bookmark this article, and share to stay ahead of the curve. Thank you 🤝

In a world chasing #LLM layers and compute coordination, $TIG quietly built a protocol where code runs, earns, and evolves—on-chain, in real time.

An algorithm gets uploaded. It's CUDA-compatible, so it runs directly on GPU hardware. Every time it executes, a royalty is streamed on-chain to its creator.
No marketplace middlemen. No speculative emissions. Just programmable licensing at the protocol layer.

That’s $TIG.

Not a Fork, Not a Subnet—A Runtime With Teeth

$TIG isn't a #Bittensor $TAO clone, a #subnet, or an inference DAO. It’s a protocol where algorithms are treated as native assets—deployable, licensable, and monetizable.

The comparison to Bittensor is useful however, but not because they compete. Bittensor coordinates inference. $TIG monetizes execution.

Both tokenize compute. But $TIG treats code itself as the asset.

GPU-Native by Default

As Dr. John Fletcher (@Dr_JohnFletcher) pointed out: $TIG includes a GPU-native runtime (TigerOS), capable of executing code directly on CUDA-capable hardware.

That’s not cosmetic. It’s a leap.

Most crypto-compute projects rely on external runtimes, off-chain triggers, or wrappers. $TIG embeds execution. It’s architecture-agnostic and ML-native—ready for workloads across AI, bioinformatics, and numerical research.

Execution happens on TIG’s terms, not someone else’s stack.

Execution = Payment

Here’s how it works:

• Publish an algorithm by staking $TIG.

• Define licensing rules.

• Every time it runs, a royalty flows on-chain—automatically.

No staking rewards. No inflation subsidies. Just usage = revenue.

Think #ARM, not #Ethereum $ETH. And $TIG has ARM’s former SVP of IP and General Counsel, Phil David, directly involved in protocol formation. The guy who helped build the world’s most successful IP licensing engine is helping do it again—for code, not silicon.

Tokenomics With Actual Constraints

Like my friend @0x_Rorschach already mentioned: only ~11.6M TIG are liquid—just 25.7% of the circulating supply.

The rest? Locked: governance, algorithm incentives, benchmarking.

That’s not marketing—it’s structural.
In a system where tokens are required to list, license, and govern algorithmic assets, this level of float restriction creates serious tension between utility and availability.

If the protocol grows, pressure builds fast.

TIG and Bittensor: Two Sides of the Same Thesis

$TAO #Bittensor is a decentralized network for training and ranking ML models—validators and miners collaborate on inference.

$TIG #TheInnovationGame is a protocol for publishing, executing, and monetizing algorithms—licensing logic, not training it.

Both are infrastructure for decentralized compute.
Both tokenize algorithmic work.
Both have a native runtime layer.

But while Bittensor (@opentensor) optimizes shared intelligence, $TIG builds markets around standalone logic.

Together, they don’t compete. They complete the stack.

The Bigger Bet: Runtime-as-Market

$TIG isn’t just a marketplace. It’s a programmable layer where algorithms run and license themselves. Where royalties flow based on actual execution. Where IP logic, compute, and value live in one stack.

What ARM did for chip design, $TIG is doing for executable logic.

It’s not hype. It’s operational. It’s early.

Stake, publish, license. This is what algorithmic capitalism looks like.

[tsigone @Tsigone]

@torus_network I need me one
@torus_network
$TORUS