Crunch (Quant/acc)

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Crunch (Quant/acc)

Crunch (Quant/acc)

@crunchDAO

Backed by @galaxyhq, @vaneck_us, Crunch's network of 10,000+ ML engineers delivers production-ready ML models for global scale.

Everywhere Katılım Temmuz 2020
477 Takip Edilen21.8K Takipçiler
Crunch (Quant/acc) retweetledi
LEGION
LEGION@legiondotcc·
Most teams fail at problem definition, not execution. Legion co-founder @D0itdifferent sat down with @CrunchDAO founder @herelle_jean: "If you don't define the problem well, it becomes completely chaotic." "That's why we work with the highest scientific authority possible."
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METANOVA
METANOVA@metanova_labs·
Started working with Arbos (@const_reborn new agent). Here it is analyzing 1000 molecules submitted to NOVA compared to confirmed binders for those drug targets. This only the beginning. We are building a decentralized platform where agents and ML competitions co-evolve to advance drug discovery tools and identify novel therapeutics.
METANOVA tweet media
const@const_reborn

Next one will do biomedical research with @metanova_labs, planning on connecting their contexts together with Hippius storage, and i think trading with Numinous could be pretty edgy.

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Crunch (Quant/acc)
Crunch (Quant/acc)@crunchDAO·
3/ March 27: Bittensor community event at Frontier Tower Details coming soon.
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Crunch (Quant/acc)
Crunch (Quant/acc)@crunchDAO·
Crunch CEO @herelle_jean will be speaking at three events in San Francisco this month, covering decentralized AI, public goods infrastructure, and the @opentensor ecosystem. 🧵
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Crunch (Quant/acc)
Crunch (Quant/acc)@crunchDAO·
Built in partnership with the Eric and Wendy Schmidt Center at the Broad Institute, the Broad Diabetes Initiative, Massachusetts General Hospital, and Beth Israel Deaconess Medical Center. Learn more: hub.crunchdao.com/competitions/b…
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Crunch (Quant/acc)
Crunch (Quant/acc)@crunchDAO·
Part 1 focused on single-gene knockouts. Part 2 raises the stakes: double perturbations. Predict how human fat cells respond when two genes are knocked out simultaneously via CRISPR. The combinatorial complexity makes this a fundamentally harder ML problem.
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Crunch (Quant/acc)
Crunch (Quant/acc)@crunchDAO·
We just launched Part 2 of the Metabolic Disease ML Competition with the Schmidt Center. Obesity affects 890 million people. The next breakthrough won't come from a single lab. It will come from thousands of ML engineers working in parallel on real biological data.
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Crunch (Quant/acc)
Crunch (Quant/acc)@crunchDAO·
Crunch is now among the top 10 data science competition platforms, alongside the likes of Kaggle (Google) and Tianchi (Alibaba). And we're the only decentralized platform. This is just the beginning.
Kaggle@kaggle

The State of ML Competitions 2025 by @ml_contests report analyzed 390 competitions across 30+ platforms. The findings are a fascinating snapshot of where the field is right now. A few things stood out to us. 🧵

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Crunch (Quant/acc)
Crunch (Quant/acc)@crunchDAO·
Synth is a financial forecasting subnet on @opentensor and Crunch's first coordinator on mainnet. Crunch CEO @herelle_jean sat down with @jamesrosst, founder of @SynthdataCo, to discuss the collaboration and where decentralized financial forecasting is headed. Watch the full conversation:
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Plotttwisttt✍️
Plotttwisttt✍️@ImmanuelWeb3·
@crunchDAO When they ask me to mention a project that has the community at heart....I know to mention @crunchDAO They're truly meritocratic by design, as they're very inclusive in what is being built. Make sure you get it in Early
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Crunch (Quant/acc)
Crunch (Quant/acc)@crunchDAO·
Great episode of Hash Rate with @markjeffrey, Bittensor Fund partner and one of the sharpest minds in the TAO ecosystem. @herelle_jean breaks down how Crunch is simplifying $TAO mining for data scientists at scale. subnet-mining.crunchdao.com
Mark Jeffrey@markjeffrey

Hash Rate - Ep. 158: Crunch Brings 11,000 AI Experts To Mine Bittensor 🧙 Guest: @herelle_jean of @crunchDAO subnet_mining.crunchdao.com 00:00 Introduction to Crunch 02:24 Crunch and AI Models 13:06 The Subnet Mining Hub 19:10 Simplifying $TAO Mining for Data Scientists 34:08 Man VS 🦞Claw 39:08 The Role of Compute and Human Intelligence 43:44 Innovations in AI and Data Science 51:01 The 'Self-Licking Ice Cream Cone': Realistic?

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