The future of AI is verifiable. And powered by @cysic_xyz? TL;DR on Cysic's Vision for Scaling ZK-verified Inference - Cysic addresses the primary computational bottleneck of Verifiable AI by delivering real-time, ZK-powered inference for neural networks through a massively parallel, GPU-accelerated platform. It reports a ~10x performance increase over state-of-the-art benchmarks on models like CNN-4M. - The core technical advantage is twofold: a GPU-parallelized sumcheck protocol that atomizes cryptographic computations across thousands of CUDA threads to fully saturate hardware, and custom CUDA kernels for prime-field arithmetic that maximize ALU throughput by prioritizing fast on-chip memory (registers, shared memory) over slow global memory. - The platform abstracts away cryptographic complexity via seamless integration with major ML frameworks (e.g. PyTorch, TensorFlow). Devs can wrap existing models in a "VerifiableModule" to generate proofs alongside model outputs without rewriting code or deep crypto expertise. - The immediate roadmap includes extending support to more complex architectures, including large-scale LLMs like Llama and DeepSeek, rolling out live application demos, and a full open-source release to foster a community-driven ecosystem around the technology. - This initiative serves as a core pillar of Cysic’s broader "ComputeFi" vision, which aims to create a decentralized compute layer where AI operates as a trust-minimized, verifiable service, enabling a new class of on-chain agents and secure AI apps. Recommend to DYOR (and yap) anons.

I will move all my $HYPE tokens from @felixprotocol, @HypurrFi and @0xHyperBeat to @hyperlendx and @ValantisLabs! Vanilla Borrowing APY's on Felix are just getting out of control imo. Hyperlend offers a fair % to leverage your tokens without getting milked. Valantis is one of the best options out here, as you're still farming Felix and kPoints from @kinetiq_xyz in the kHYPE AMM pool by depositing native $HYPE. In the beginning, @HypurrFi offered x10 points on kHYPE deposits. Sadly, this multiplier got reduced to x3, that's why I decided to move my tokens to Hyperlend and Valantis. As well, APY for stablecoin deposits on @0xHyperBeat is getting lower day by day. 19.81% APY is still high, but when you pay a borrow APY of nearly 17% on Felix, it's not worth it. On Hyperlend you can borrow the same stables for around 5%, let's see how long the APY's will stay in this range. From now on, I’ll be sharing regular tips to help you make the most of your staking on HyperEVM. Hyperliquid.

RT @zerokn0wledge_: The @union_build yapper rewards will be allocated purely based on mindshare, not limited by leaderboard ranks. Looking…

study the dedication to winning mindshare study union

ZK solves scaling ZK solves interoperability ZK solves verifiability ZK solves privacy and Boundless solves ZK and things are getting Boundless

The @union_build yapper rewards will be allocated purely based on mindshare, not limited by leaderboard ranks. Looking at the interop market, we see a currently wide FDV range of $250m-$2B, including players like: - LayerZero = $2B - Wormhole = $840M - Axelar = $460M - Zeta = $460M - Omni = $250M Given most of my audience falls into the global/english-speaking category, let's have a look at what that means for us as Union yappers: Considering the 0.75% of total $U supply offered as yapper allocation, and assuming that 0.5% is dedicated to Season 0 (early supporter bonus + longer timeframe), while also accounting for a total 0.1% deduction for exclusive Chinese/Korean post rewards, we have: - Season 0: 0.5% - 0.05% = 0.45% of $U supply - Season 1: 0.25% - 0.05% = 0.20% of $U supply For each 0.1% mindshare you have achieved in Season 1, or will close Season 2 with, that means: $250M FDV case: - Season 0 pool (0.45% = $1.125M) → $1,125 in $U rewards - Season 1 pool (0.20% = $500K) → $500 in $U rewards $500M FDV case: - Season 0 pool (0.45% = $2.25M) → $2,250 in $U rewards - Season 1 pool (0.20% = $1M) → $1,000 in $U rewards $750M FDV case: - Season 0 pool (0.45% = $3.375M) → $3,375 in $U rewards - Season 1 pool (0.20% = $1.5M) → $1,500 in $U rewards $1B FDV case: - Season 0 pool (0.45% = $4.5M) → $4,500 in $U rewards - Season 1 pool (0.20% = $2M) → $2,000 in $U rewards Looks very interesting imo, so don't stop yapping anons.

The Mad Yapper rewards for @union_build yappers have been announced, and they look very juicy. It's time to yap my frens, and here is why: Union is allocating 1% of its total token supply to yappers and the @KaitoAI ecosystem (putting it among top 5 of project in terms of Kaito allocations). ➀ Allocation Breakdown: ➤ 0.75% for Community Engagement ("Mad Yaps"): - Season 0 (Retroactive): Rewards based on all-time platform mindshare up to July 23rd. - Season 1 (Ongoing): Rewards mindshare generated from July 23rd through the public mainnet launch. ➤ 0.25% for Kaito Ecosystem: - Distributed to Kaito stakers andd genesis NFT holders (Yapybaras). ➁ Key Details: - 0.10% of the total token supply is reserved for native Chinese and Korean speakers within the Season 0 and 1 rewards. - Core team members like @e_beriker or @0xkaiserkarel are ineligible. Any rewards allocated to them will be redirected to future community incentive pools. - There is no leaderboard cap. Although the Kaito UI only displays the top 1,000 users for Season 1, all participants will earn rewards proportional to their mindshare. This is pretty big imo, and Union is doing great with a strong community, considerable testnet and dev eccosystem, and unique tech that leads in a new vertical (ZK-powered interop). zkgm frens

. @OpenledgerHQ solves a major problem in AI, addressing an ever-growing, multi-billion dollar market with clear technical moat (proof of attribution). By creating a global marketplace for attributable data, OpenLedger connects model builders with data contributors, enabling essential access to domain-specific datasets for teams working on specialized models, while turning each inference into a monetizable event for data providers. Definitely one to watch as (De)AI will remain a dominant narrative.

gML fellow enjoyooors of self-improving machine learning networks geared towards predictive intelligence.

From silence and shadows, a system awakens. Trained in isolation. Built to perceive, reason and act. The Grand Reveal is near. But before the gates open The Ascended may enter early. Early access to CodecFlow is now live: