Will Squires (@WSquires) / X

Will Squires

2,206 posts

Will Squires

@WSquires

Co-Founder @MacrocosmosAI

London

Joined May 2011

Will Squires
@WSquires
May 6, 2025
I have not programmed actively for years. I built an app in an hour using the SN1 + SN13 back-ends - it scrapes X for content on a user, then summarises it and provides a response using the Apex LLM. In a post-product era, the sheer versatility of building on Bittensor will let
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Will Squires
@WSquires
Feb 20, 2025
A literal universe of data. 34bn rows, and more coming. Bittensor native test time compute. @OpenAI - @opentensor is coming for you. app.macrocosmos.ai
6.5K
Will Squires
@WSquires
Dec 30, 2024
go to bed @const_reborn ships EVM wake up three teams already launched integrations (@BlockchatDAO respect) realise I’m not sleeping until dTAO LETS GO.
const
@const_reborn
Dec 29, 2024
Well … why wait? ✅ Depermissioned EVM Just pushed to Finney.
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Will Squires
@WSquires
Apr 25, 2025
@MacrocosmosAI @KeithSingery @mogmachine collab album inc.
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Will Squires
@WSquires
Jan 9, 2025
Dynamic hits testnet
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Will Squires
@WSquires
Apr 28, 2025
What a great time at @endgame_summit - thanks to @madladshad for organising, and all of the TAO family for the supreme alpha. A few thoughts - 🧵
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Will Squires
@WSquires
Aug 14, 2025
the disconnect between pace of building on bittensor and complaints about price action is real. just within macrocosmos, in the past two weeks: - we completely rebuilt our front end stack for SN13 (currently undergoing some final testing, but we'll be sharing shortly) - we
6.2K
Will Squires
@WSquires
Nov 22, 2024
Some reflections from this week’s @DCGco event, a thread 🧵.
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Will Squires
@WSquires
Jun 20, 2025
I wrote a short piece on the economics of being a subnet owner in dTAO. I also touch on root weight, and the broader AI landscape. Liquidity, credit, capital, and developments in tokenomics are all critical things we need to focus on as a community.
On owner alpha, and funding the fire - Will Squires
From macrocosmosai.substack.com
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Will Squires
@WSquires
Apr 12, 2024
Thrilled to announce @crux081208 and I are launching @MacrocosmosAI today - building on Bittensor. We’re building an amazing team, so reach out if you’re passionate about democratising intelligence, and building AI for all humankind. Thanks to @opentensor and @const_reborn
38K
Will Squires
@WSquires
Feb 13, 2025
I have high conviction in @opentensor and @const_reborn - a team that has always focused on building. In dTAO, focus on what people are building - @mogmachine coming through for the ecosystem We're launching Constellation next week - our multi-subnet platform. I can't wait.
taostats τ
@taostats
Feb 13, 2025
We are SO EXCITED for dTao. Of course we have made sure you will have the full trading experience for dTao, but it is just one of a host of updates we have for you tonight. .....
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Will Squires
@WSquires
May 22, 2024
The moment Bittensor started folding proteins. @mccrinbc
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Will Squires
@WSquires
Jun 2, 2025
iota is now live. We are starting with a 15B parameter run to test a variety of the mechanisms (overall architecture, dashboard, infrastructure) over 5 layers. The intention is to gather test data from this stage prior to launching a larger competition. We expect CLASP to
Macrocosmos
@MacrocosmosAI
Jun 2, 2025
It's here: Incentivized Orchestrated Training Architecture... ...live on #Bittensor Subnet 9, IOTA. Our new dashboard is live - featuring: 🎬 Real-time 3D pipeline 🧩 Interactive miner nodes with live data ⚡ Active visualisation of training attributions 🌐 Global network
00:00
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Will Squires
@WSquires
May 30, 2025
Today, I am incredibly proud to share our white paper outlining our most recent research at Macrocosmos, and our best work to date. Introducing IOTA - Incentivised, Orchestrated Training Architecture, a new paradigm in distributed, internet-scale training, that has the potential
crux
@macrocrux
May 30, 2025
IOTA (Incentivized Orchestration Training Architecture) is a framework for pretraining large language models across a network of heterogeneous, unreliable, permissionless and token incentivized machines. In our technical primer we report the following advances: Incentivized
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