Baovy06
• HODL qua giông bão, gặt quả lúc trăng lên. • Vị thế tạo nên tất cả. • Bình tĩnh trước con sóng, kiên định trước con chart.
1 tnFöljer
1,1 tnföljare
Flöde
Flöde
🦋@quipnetwork is moving beyond the concept of quantum computing.
The latest updates show a clear focus on turning quantum technology into usable infrastructure:
• QVRF is now live, using real quantum hardware to generate verifiable randomness for applications such as gaming, lotteries, minting, and asset allocation.
• Quantum Echoes is the first application built around QVRF, bringing quantum-generated data into digital collectibles.
• QuipSwap is live, enabling cross-chain swaps without traditional bridges, wrapped assets, or oracles in the swap path.
• Aglais Testnet is also progressing, with hundreds of miners and thousands of topology nodes already participating.
The interesting part is how Quip is connecting several layers together:
Quantum Computing → Verifiable Randomness → Cross-chain Infrastructure → Post-Quantum Security
Quip seems to be moving from research toward building actual products around quantum technology.
The next question is how far this infrastructure can scale as the network develops.
DYOR before making any decisions.
LLMTune Expands AI Agents’ Ability to Pay
@LLMTUNE_IO has announced an integration with Inflow Pay, giving AI Agents the ability to handle payments as part of their workflows.
Instead of only discovering information and taking actions, Agents can now move through a more complete process:
Discover the services they need
Take the required actions
Pay for those services
Complete the workflow
The flow becomes:
Discover → Act → Pay → Complete
LLMTune provides the ability for Agents to act, while Inflow Pay adds the discovery and payment layer.
This brings AI Agents one step closer to handling complete workflows autonomously, rather than simply responding to user requests.
Rikai (✱,✱)
Inference Studio: putting models into use
Once a model has been fine-tuned, the next question is simple: how do you actually use it in a real application?
That is where Inference Studio comes in.
According to LLMTune, Inference Studio allows users to choose a model from its catalog and run it either through a chat interface or through an API. The same model can therefore be accessed through different interfaces depending on the use case.
One notable feature is model comparison. Users can send the same prompt to multiple LLMs and compare their responses, latency, and cost before deciding which model to use.
The API layer is designed to be familiar to developers already working with the OpenAI ecosystem. Inference Studio provides OpenAI-compatible REST and streaming APIs, along with scoped API keys, usage tracking, and governance features.
This becomes more meaningful when we connect it to Fine-tune Studio.
In Fine-tune Studio, the workflow is centered around:
Dataset → Fine-tuning → Evaluation → Deployment
Once a model has been deployed, Inference Studio provides the layer for running that model and connecting it to applications.
LLMTune’s documentation describes this transition explicitly. After a training run is promoted to an endpoint, users receive a deployed model ID and can call the model through the public API at api.llmtune io/v1. The API can be used with both fine-tuned models and available base models.
Inference Studio therefore brings together three different tasks:
Choose a model → test and compare → put the model into use through an API.
LLMTune also separates inference into two modes: Standard and Confidential. Standard uses shared compute and is described as the default for most workloads. Confidential uses attested hardware and privacy-preserving compute for more sensitive workloads.
@LLMTUNE_IO
Herond Keyless Wallet – Cập nhật quan trọng
Nếu bạn vẫn còn tài sản trong Keyless Wallet sau hạn ngày 20/9 thì không cần lo lắng.
@HerondBrowser đã hoàn tất việc ghi nhận và xác minh số dư của tất cả các ví còn tài sản trên chuỗi. Đội ngũ hiện đang chuẩn bị quy trình hoàn tiền.
Hiện tại, bạn chưa cần làm gì cả.
Thông tin về cách nhận lại tài sản sẽ được Herond công bố trong những ngày tới.
Lưu ý:
Không cung cấp khóa riêng tư, cụm từ hạt giống hoặc cụm từ khôi phục cho bất kỳ ai.
Đội ngũ Herond sẽ không chủ động nhắn tin riêng để yêu cầu bạn nhận hoàn tiền.
Chỉ làm theo hướng dẫn được đăng tải trên các kênh chính thức của Herond.
Tài sản của bạn đã được ghi nhận. Hãy chờ thông báo tiếp theo từ Herond.
Herond Browser
Announcement: Herond Keyless Wallet
We understand that some users may concern about assets that remained in their Keyless Wallet after the September 20 deadline. Please rest assured: your balances have been recorded and verified on-chain.
Herond has already completed the snapshot of all wallets holding a balance and is preparing the refund process.
You do not need to take any action right now. Details about how to claim your refund will be announced in the coming days.
For your safety:
- Herond will never ask for your private key, seed phrase, or recovery phrase.
- Herond team members will never DM you first about a refund.
- Please rely only on announcements posted through our official channels.
Your assets have not been overlooked. We are working to make the refund process clear and secure, and we appreciate your patience while we finalize the next steps.
Please stay calm, stay safe, and follow for updates 💙
Hazels förbereder sig för att öppna ett nytt nyttolager med fokus på Holders, Stakers och Creators.
De tre grupperna representerar tre kärnelement:
• Ägande
• Deltagande
• Bidrag
Om NFT:er är ordentligt anslutna kommer de inte bara att vara tillgångar att äga, utan också bli åtkomstlagret till hela @0xhazels-ekosystemet.
Imorgon öppnas den första dörren.
