Will Squires

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@WSquires

Co-Founder @MacrocosmosAI

London macrocosmos.ai Joined May 2011

1K Following 2.8K Followers 2.3K Posts

Latest posts 5

Will Squires @WSquires Nov 4

The first of many coming demonstrators of why we built the IOTA SDK.

Importantly, this demonstrates three core use cases for us that iota previously didn't cover:
- fine-tuning
- distributed batch inferencing
- flexibility of the SDK - one of our engineers put this together very quickly, with all of the communication elements automatically resolved by the SDK.

More to come in the next few weeks as we get ready to launch!

Macrocosmos Verified account @MacrocosmosAI Nov 4

Led by @v_truba based on Qwen3.5-4B and trained using ~879k decision examples.

But built different:

- Trained distributed, end to end, using streaming DiLoCo across 16 RTX A4000s.

- Training data came from our own stack: we generated and labelled it with distributed batch inference.

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Will Squires @WSquires Oct 30

Local inference isn't a terrible allocation of resources if you have technology that can unite distributed, heterogenous, and idle (re, off 95%) of the time compute to do frontier scale workloads.

That's the core of our thesis - and more broadly that maximising utilisation is the core next step in the AI race.

morgan — Verified account @morqon Oct 29

sam: local inference is a terrible allocation of scarce resources

“a lot of people want local inference, and somehow they assume that the problem is solved now because we have open-source models, we're going to be able to run them on our computers, and so we're not going to need all the stuff in the data centre

but from a global allocation perspective, actually it's quite terrible to have everybody, like, have a bunch of the world's limited supply of DRAM sitting in their own computer and being used five percent of the time

you want maximum utilisation in the cloud if you're trying to deal with this very supply-constrained environment

somehow many people's intuition is the opposite of that”

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Will Squires @WSquires Oct 25

Yep.

Elon Musk Verified account @elonmusk Oct 25

@Yuchenj_UW I think we’re going to see a lot of stranded compute in partially complete data centers
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Will Squires @WSquires Oct 25

Yep.

Elon Musk Verified account @elonmusk Oct 25

@Yuchenj_UW I think we’re going to see a lot of stranded compute in partially complete data centers
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Will Squires @WSquires Oct 21

so cool

Flapping Airplanes Verified account @flappyairplanes Oct 21

We have barely scratched the surface of GPUs, and we think GPUs are more flexible and valuable than most believe. Internally, we already see evidence of this at trillion-parameter pretraining scale. If we are right, this will drive substantially more demand for AI.
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