Just came across this project called @grass - The concept seems super cool but does anyone know how much one could possibly earn in $GRASS tokens by sharing their non-utilized bandwidth? And is the payout on a monthly basis? If anyone wants to try this out and earn $GRASS token, feel free to use my referral link below: https://t.co/n6vgMi0GT7

Name & Symbol: Grass ($GRASS)
Address: Grass7B4RdKfBCjTKgSqnXkqjwiGvQyFbuSCUJr3XXjs

Lagrange is the first crypto company with dual-use impact across both commercial and national-security applications. Lagrange is pioneering cryptographic supremacy across defense supplier ecosystems including @Oracle, @RTX_News, @LockheedMartin, @GeneralDynamics. https://t.co/1ENpg9DAob

Name & Symbol: Lagrange ($LA)
Address: 0x389ad4bb96d0d6ee5b6ef0efaf4b7db0ba2e02a0

$LA @lagrangedev EXTREMELY UNDERVALUED!!

Name & Symbol: Lagrange ($LA)
Address: 0x389ad4bb96d0d6ee5b6ef0efaf4b7db0ba2e02a0

EXTREMELY UNDERVALUED!! $LA @lagrangedev

Name & Symbol: Lagrange ($LA)
Address: 0x389ad4bb96d0d6ee5b6ef0efaf4b7db0ba2e02a0

Verifying AI outcomes is going to be a huge business opportunity. $LA is positioning itself right at the forefront. DeepProve is a zero-knowledge ML (zkML) tool by @lagrangedev that lets AI prove its decisions are accurate, compliant, and accountable without revealing model weights, inputs, or logic. Perfect for DEXs & many other sectors where AI agents make smart & verifiable decisions, with full privacy and cryptographic trust. Fast, open-source, and scalable.

Name & Symbol: Lagrange ($LA)
Address: 0x389ad4bb96d0d6ee5b6ef0efaf4b7db0ba2e02a0

IYKYK $LA @lagrangedev 🙂 https://t.co/PFlwtR6K6u

Name & Symbol: Lagrange ($LA)
Address: 0x389ad4bb96d0d6ee5b6ef0efaf4b7db0ba2e02a0

A week ago, @lagrangedev proved a full inference of Google's Gemma 3 with DeepProve. Proof demand = Token demand. This is the exact principle $LA tokenomics is built around.   As AI goes mainstream, verifying it's correctness will become extremely critical for any model, driving up proof demands thereby driving price. Whenever a proof is generated in the Lagrange Prover Network—whether for a ZK rollup, a verifiable AI model, or a modular execution layer—value is cycled through the system in a work-based model. This way the token captures value directly from activity. Once users understand that they can demand verification for AI outputs, there’s no going back as AI will be required to be PROVABLE BY DESIGN. Cryptographic verification is soon going to become the multi-industry default and Lagrange is in the forefront.

Name & Symbol: Lagrange ($LA)
Address: 0x389ad4bb96d0d6ee5b6ef0efaf4b7db0ba2e02a0

Have to politely disagree here as the 4-year cycle has been a constant, until proven otherwise. Regarding your take as to ATH occurring before the halving, that doesn't matter, all that matter historically is the no. of days it takes from halving to ATH and bottoms respectively. We still have at max 3 months for the next top to happen. Let's see what's in store for us this cycle :)

Name & Symbol: Aethir Token ($ATH)
Address: 0xbe0ed4138121ecfc5c0e56b40517da27e6c5226b

Why have I invested in @lagrangedev $LA 👇 Lagrange Labs is tackling the core challenge of establishing trust and verifiability in AI systems, particularly as AI becomes widespread in sectors like finance, healthcare, defense, and consumer applications. The primary issue they address is the "black-box" nature of AI models: users currently must blindly trust that AI outputs are accurate, unbiased, and aligned with intended functions, without cryptographic guarantees. This lack of proof exposes risks like model tampering, privacy breaches, or misaligned decisions that could have real-world consequences. To solve this, Lagrange developed DeepProve, a production-ready zero-knowledge machine learning (zkML) framework that generates compact cryptographic proofs for AI inferences. It verifies that an AI model's output (Y) resulted from running the model correctly on a specific input (X), without revealing sensitive data, model weights, or proprietary algorithms. Key benefits: 🔹 Speed and scalability: Up to 158x faster than prior zkML systems, 🔹 Supporting large models like GPT-2 (full 1024-token inferences) and enabling proofs for millions of inferences. 🔹 Privacy and security: Ideal for scenarios like healthcare (verifying predictions on patient data without exposure) or finance (compliance checks on proprietary models). 🔹 Decentralized integration: Built on their ZK Prover Network (powered by @eigenlayer), it allows hardware-optimized provers (e.g., GPUs from NVIDIA/Intel partnerships) to handle workloads efficiently. As stated on their site, "As AI becomes increasingly embedded into our everyday lives, we must be able to prove that AI models are producing results according to their expected functions." DeepProve has already proven over 3 million AI inferences and integrated with 30+ projects, including collaborations with Matter Labs, Inference Labs, and Sentient AGI for verifiable AI in Web3 and beyond. And by the way, their $LA token further incentivizes this ecosystem by covering proof fees and staking for provers.

Name & Symbol: Lagrange ($LA)
Address: 0x389ad4bb96d0d6ee5b6ef0efaf4b7db0ba2e02a0

$ATH @AethirCloud UP BY ALMOST 100% Rock solid fundamentals always tends to shine sooner or later. Rest of the fundaments will catch up. In Sha Allah

Name & Symbol: Aethir Token ($ATH)
Address: 0xbe0ed4138121ecfc5c0e56b40517da27e6c5226b