EQTY Lab
@EQTYLab
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AI Integrity begins here.
Los Angeles
Joined March 2023
EQTY Lab designs transparent and accountable tools for Responsible AI. We're excited to announce our first tool on @HuggingFace: the AI Lineage Explorer — a solution that quickly visualizes the provenance of your models. AI Integrity begins here. 🧵
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We create AI integrity with tamper-proof credentials and anchors that attest to each step of the AI training process. Build trust from ingestion to inference with @w3c standards, @hedera @IPFS @n0computer.
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ClimateGPT is the first task-specific ensemble of AI models dedicated to addressing climate change impact. We’re excited to be a partner in training these models via the Endowment for Climate Intelligence (ECI), which is making them publicly available today via @huggingface 🧵
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EQTY Lab is releasing the AI Lineage Explorer natively on @HuggingFace to empower users to see and trust a model’s data sources, architecture, computation, and governance. This level of transparency is crucial for anyone committed to Responsible AI.
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Want to see the AI Lineage Explorer in action? Check out the full AI lifecycle of ClimateGPT in the @HuggingFace example below — a brand new foundational LLM we trained on green energy to address the impact of climate change.
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The AI Lineage Explorer is only the first of many tools in EQTY Lab’s AI Integrity Suite that will be released this year. Sign up for early access to our open-source SDK by visiting.
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Following the release of our @RiscZero Verifier from yesterday, we are open sourcing another tool we built internally, this time for running Python code in the zkVM: .
We’re fans of @RiscZero which allows code to be run verifiably. Instead of trusting a cloud provider, a zkVM provides cryptographic proof to prevent tampering during execution. We’re excited to release an open source web verifier that allows anyone to verify execution receipts.
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Listen in as we talk with our friends at @NEARProtocol during one of their AI Office Hours.
The bois are back for another AI Office Hours ft. @AlexSkidanov & @ilblackdragon 🐉. Special guests include EQTY Lab & @TheoriqAI - get to know a 'lil more about AI x Web3 with some of the builders at the front of it all. 18th Jun, 16:30 UTC. Right here on X
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We’re fans of @RiscZero which allows code to be run verifiably. Instead of trusting a cloud provider, a zkVM provides cryptographic proof to prevent tampering during execution. We’re excited to release an open source web verifier that allows anyone to verify execution receipts.
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Thank you Michael!.
We MUST decentralize AI. That's my takeaway in this week's #MoneyReimagined newsletter from a busy week of AI-meets-crypto at Davos. Impressed w/ lead being shown in this by @DJohnstonEC @ErikVoorhees and @EQTYLab's Jonathan Dotan work with @Hedera .
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ClimateGPT was trained on over 10b web pages & hundreds of millions of academic articles covering climate technologies and the local impact of extreme weather. It’s trained to synthesize interdisciplinary research & break silos to generate solutions.
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This open source AI solution is available in 20+ languages and comprises five AI models, including a groundbreaking 7b parameter foundational model trained on 300b climate-specific tokens. All were computed and hosted entirely with renewable energy.
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Find the models and model cards on @huggingface and the press release on @Medium below, which includes a link to the research paper.
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In the future, we’ll see more complex verifiable computation pipelines for LLMs and beyond. It’s just the beginning of the story and we want to play our part. Test it out for yourself here:.
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As EQTY Lab works on creating trusted AI solutions, we are seeking new ways to harden AI supply chains. zkVMs have a big role to play. Today we’re hardening AI data preparation using @RiscZero to run verifiable tasks like PII redaction and hash equivalence assertions.
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We found this useful for increasing trust that ZK programs were run as expected so we’re open sourcing it. There’s a minimal verifier npm package, a customisable react component npm package, and a hosted version.
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Our open source repo is at It also includes a link to the hosted web verifier. Look for the “Try it out” section in the README for an example receipt that you can use.
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