Silicon is live on @Torchpaddotfun .
We’re building on Apple Silicon. the goal is to make Macs part of the compute layer for AI inference.
Many months into building.
A lot more to do.
CA $SIL : 0xba729677349f41fa082bbd50f3c291a3b4b41111
We’ve submitted $SIL for CoinGecko listing.
One more step in building Silicon Network and making the project easier to discover.
Request ID: CL2610260005
Track the market on GeckoTerminal:
https://t.co/u9XcpVZu3J
Silicon is live on @Torchpaddotfun .
We’re building on Apple Silicon. the goal is to make Macs part of the compute layer for AI inference.
Many months into building.
A lot more to do.
CA $SIL : 0xba729677349f41fa082bbd50f3c291a3b4b41111
Your Mac does more than you think.
We’re building Silicon Network to connect Apple Silicon hardware to AI inference.
Have a look at the video below for a better understanding.
More to come.
$SIL tokenomics are now live.
4% of the supply is locked for 12 months.
The remaining 8% stays in the treasury to fund Silicon’s development, infrastructure, ecosystem incentives and partnerships that bring real usage to the network.
The treasury has a job to do: help build Silicon into something people actually use.
The allocations and lockup are there for everyone to see.
Tokenomics:
https://t.co/NfIoewOUg1
4% of the $SIL supply is now locked.
40,000,000 $SIL from the treasury, locked onchain until October 25, 2027.
All Verifiable with @HoodLockRH .
Proof: https://t.co/1xWTPBF4RJ
One thing that keeps bothering me:
we have ridiculously capable computers sitting around everywhere, and we mostly use them for Slack, Chrome and Spotify.
Meanwhile AI compute is getting harder to come by.
We’re trying to make those two worlds meet.
world is going to keep on changing, Astraia
the metered proprietary model is under real pressure once capable open weights exist ... remaining pain point is still hardware concentration 😬
distributed inference lets people run those same open models across many machines they already have - or share - instead of buying racks
agentic workflows accelerate this shift even faster
@OpenAI we're thrilled to see more open-source tooling for securing the AI stack ... especially releases that encourage community feedback
at @Fabriqnet we’re focused on distributed inference for open models (OpenAI-compatible endpoint across many nodes)