Top Tweets for #gl1f

19 days ago

Are GL1F and the GenesisL1 AI Sidecar the same thing? $L1 Simple answer, no, and that's what makes the architecture interesting. #GL1F brings deterministic ML directly into the blockchain: - Weights on-chain - Inference can run through the EVM - Smart contracts can directly use models - Same results across EVM, Python, JS and C++ The AI Sidecar tackles a different problem: large mainstream AI models such as Qwen, Llama, Mistral or DeepSeek. Their large files can live on IPFS, while independent GPU operators handle inference. GL1F for native on-chain ML. AI Sidecar for large-scale decentralized AI inference. Two different systems. One AI ecosystem. All running on the GenesisL1 Blockchain infrastructure.

firsttensor's tweet photo. Are GL1F and the GenesisL1 AI Sidecar the same thing? $L1

Simple answer, no, and that's what makes the architecture interesting.

#GL1F brings deterministic ML directly into the blockchain:

- Weights on-chain
- Inference can run through the EVM
- Smart contracts can directly use models
- Same results across EVM, Python, JS and C++

The AI Sidecar tackles a different problem: large mainstream AI models such as Qwen, Llama, Mistral or DeepSeek.

Their large files can live on IPFS, while independent GPU operators handle inference.

GL1F for native on-chain ML.

AI Sidecar for large-scale decentralized AI inference.

Two different systems. One AI ecosystem.
All running on the GenesisL1 Blockchain infrastructure.

501

GenesisL1

@genesis_L1

9 months ago

Introducing GenesisL1 Forest - https://t.co/bfofPmyf8b https://t.co/aQWjDiWBjw https://t.co/b7BhSxyJ08 https://t.co/7cLN5s7DWa #GL1F #GenesisL1 #OnChainAI #DecentralizedAI #DeSci #VerifiableAI #AI #MachineLearning #EVM #Ethereum #Solidity #SmartContracts #Web3 #CryptoAI #AIInfrastructure #OpenScience #DataScience #MLOps #NFT #Tokenization #Inference #OnchainCompute #dApps #blockchain #cryptocurrency #GBDT not #LLM GenesisL1 Forest is a research-grade, 100% serverless AI studio and on-chain machine learning laboratory for decentralized science — built on the GenesisL1 EVM and compatible with the broader Ethereum + Solidity ecosystem. AI is reshaping the world, but most AI today is still delivered as a black box: private training pipelines, hosted endpoints, unverifiable inference, and outputs you can’t independently reproduce. That model doesn’t fit science, and it doesn’t fit permissionless systems. GenesisL1 Forest makes AI a first-class blockchain primitive. You can build powerful models directly in the browser, evaluate them interactively, and deploy them as immutable on-chain assets — without running servers, without deploying a backend, and without trusting an opaque API. No backend. No hosted inference. No hidden infrastructure. Just: dataset → train → validate → deploy — from a laptop, or from the palm of your hand. Forest is built for serious applied AI across domains where rigor matters: health and biomarker modeling, materials and chemistry predictors, environmental measurement models, econometrics and forecasting, genomics-derived numeric pipelines, and more. It’s designed to be a practical laboratory for conducting complex research that can be shared, verified, and reused. AI that’s actually compatible with verification LLMs are extraordinary for language and unstructured problems — but many real scientific and decision tasks are structured/tabular: labs, sensors, assays, measurements, financial time-series features, clinical panels, and engineered variables. For these, classical ML model families (especially tree-ensemble approaches) are often the best choice because they are: • high-accuracy on structured numeric data • computationally efficient (fast inference, low overhead) • deterministic by design (ideal for reproducibility) • easier to audit with feature attribution and error analysis That efficiency and determinism is exactly what makes on-chain inference practical — not as a demo, but as infrastructure. AI dApps: verifiable AI inside Solidity workflows Because Forest runs on the EVM, models can be integrated directly into smart contracts and existing Ethereum tooling. This enables a new category of machine learning dApps: • protocols that call models for deterministic decision logic • on-chain scientific pipelines anyone can re-run • registries and benchmarks with persistent provenance • model-driven automation with public verification • composable AI building blocks across EVM infrastructure If you can build on Ethereum or EVM, you can build with Forest. Models are tokenized as NFTs — and they come with a built-in economy. Every deployed model becomes a ModelNFT: a transferable on-chain AI asset with persistent identity and provenance. And crucially, model owners can enable monetization in two powerful ways: • Paid inference plans for read-style access • Pay-per-inference transactions that generate a proof-of-inference receipt on-chain (a verifiable record that this model produced this output at this time, under deterministic rules) Because the model is an NFT, it’s not locked to a single operator: ownership can change — and the new owner can update monetization settings. This turns models into real, ownable primitives that can be licensed, traded, bundled into products, governed by DAOs, and integrated into dApps — all without centralized hosting. A new kind of L1: machine learning cryptocurrency This also upgrades what an L1coin (https://t.co/PTng2NoDu9, https://t.co/bUSiDVJzfz) represents. GenesisL1 is evolving into a machine learning platform and L1coin gaining features of native AI cryptocurrency, it becomes more than settlement: it becomes an access and participation asset for on-chain AI. Using the GenesisL1 network means participating in a decentralized AI economy where models are public infrastructure and inference is verifiable. Not “AI + crypto” as a slogan. Crypto as the economic substrate for verifiable machine intelligence and decentralized science.

genesis_L1's tweet photo. Introducing GenesisL1 Forest - https://t.co/bfofPmyf8b

https://t.co/aQWjDiWBjw
https://t.co/b7BhSxyJ08
https://t.co/7cLN5s7DWa

#GL1F #GenesisL1 #OnChainAI #DecentralizedAI #DeSci #VerifiableAI #AI #MachineLearning #EVM #Ethereum #Solidity #SmartContracts #Web3 #CryptoAI #AIInfrastructure #OpenScience #DataScience #MLOps #NFT #Tokenization #Inference #OnchainCompute #dApps #blockchain #cryptocurrency #GBDT not #LLM

GenesisL1 Forest is a research-grade, 100% serverless AI studio and on-chain machine learning laboratory for decentralized science — built on the GenesisL1 EVM and compatible with the broader Ethereum + Solidity ecosystem.

AI is reshaping the world, but most AI today is still delivered as a black box: private training pipelines, hosted endpoints, unverifiable inference, and outputs you can’t independently reproduce. That model doesn’t fit science, and it doesn’t fit permissionless systems.

GenesisL1 Forest makes AI a first-class blockchain primitive.
You can build powerful models directly in the browser, evaluate them interactively, and deploy them as immutable on-chain assets — without running servers, without deploying a backend, and without trusting an opaque API.

No backend. No hosted inference. No hidden infrastructure.
Just: dataset → train → validate → deploy — from a laptop, or from the palm of your hand.

Forest is built for serious applied AI across domains where rigor matters: health and biomarker modeling, materials and chemistry predictors, environmental measurement models, econometrics and forecasting, genomics-derived numeric pipelines, and more. It’s designed to be a practical laboratory for conducting complex research that can be shared, verified, and reused.

AI that’s actually compatible with verification

LLMs are extraordinary for language and unstructured problems — but many real scientific and decision tasks are structured/tabular: labs, sensors, assays, measurements, financial time-series features, clinical panels, and engineered variables. For these, classical ML model families (especially tree-ensemble approaches) are often the best choice because they are:
• high-accuracy on structured numeric data
• computationally efficient (fast inference, low overhead)
• deterministic by design (ideal for reproducibility)
• easier to audit with feature attribution and error analysis

That efficiency and determinism is exactly what makes on-chain inference practical — not as a demo, but as infrastructure.

AI dApps: verifiable AI inside Solidity workflows

Because Forest runs on the EVM, models can be integrated directly into smart contracts and existing Ethereum tooling. This enables a new category of machine learning dApps:
• protocols that call models for deterministic decision logic
• on-chain scientific pipelines anyone can re-run
• registries and benchmarks with persistent provenance
• model-driven automation with public verification
• composable AI building blocks across EVM infrastructure

If you can build on Ethereum or EVM, you can build with Forest.

Models are tokenized as NFTs — and they come with a built-in economy.

Every deployed model becomes a ModelNFT: a transferable on-chain AI asset with persistent identity and provenance.

And crucially, model owners can enable monetization in two powerful ways:
• Paid inference plans for read-style access
• Pay-per-inference transactions that generate a proof-of-inference receipt on-chain
(a verifiable record that this model produced this output at this time, under deterministic rules)

Because the model is an NFT, it’s not locked to a single operator:
ownership can change — and the new owner can update monetization settings.
This turns models into real, ownable primitives that can be licensed, traded, bundled into products, governed by DAOs, and integrated into dApps — all without centralized hosting.

A new kind of L1: machine learning cryptocurrency

This also upgrades what an L1coin (https://t.co/PTng2NoDu9, https://t.co/bUSiDVJzfz) represents.

GenesisL1 is evolving into a machine learning platform and L1coin gaining features of native AI cryptocurrency, it becomes more than settlement: it becomes an access and participation asset for on-chain AI. Using the GenesisL1 network means participating in a decentralized AI economy where models are public infrastructure and inference is verifiable.

Not “AI + crypto” as a slogan.
Crypto as the economic substrate for verifiable machine intelligence and decentralized science.

jemmmay @gamalgemay

almost 7 years ago

اللي بينگ وبينو عيش وملح بگرا يلاقي اللى يأكلةة شاورما و يبيعگ انت و ملحگ.📿✨ #gL1f

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