DUBAI, UAE, Oct. 23, 2026 /CNW/ — Bybit, the New Financial Platform trusted by more than 80 million users worldwide, has extended its USD1 Hold & Earn program following strong community demand. The bonus month offers a 27,000,000 WLFI reward pool with up to competitive APR for eligible USD1 holders.

The extension follows five consecutive months of sustained participation since the program’s debut in May 2026 as part of Bybit’s USD1 Ecosystem Carnival. The bonus round started from October 17, 2026 and will conclude on November 15, 2026, as Bybit and its ecosystem partners respond to popular demand and continue to craft rewarding experiences for the community.

As with previous months, eligible Bybit users who hold a minimum of 1 USD1 in their account will automatically earn daily WLFI rewards. No staking, subscription or lock-up is required.

The USD1 Holder Leaderboard is updating daily to rank the top 50 USD1 holders on Bybit by effective holdings.

USD1 balances are snapshotted hourly each day, with WLFI rewards credited to the Main Account Funding Wallet around 06:00 UTC the following day. Daily rewards are derived from effective USD1 holdings, settlement prices sourced from the Bybit Spot Market, and the prevailing daily APR. Actual APR and reward amounts may vary based on total participation and market pricing during the campaign period.

USD1 is a USD-backed stablecoin issued by World Liberty Financial, fully collateralized by short-term U.S. Treasury securities and cash equivalents and designed to maintain a stable 1:1 peg with the US Dollar. WLFI is the governance token of World Liberty Financial, a DeFi protocol built to broaden access to decentralized financial services. Token holders can participate in protocol governance decisions and contribute to the direction of the ecosystem.

Terms and conditions apply. For details on eligibility and potential restrictions, users may visit: USD1 Hold & Earn Month 6: 27M WLFI Rewards, Up to 10% APR

#Bybit  / #NewFinancialPlatform 

About Bybit

Bybit is The New Financial Platform.

We believe every person should have access to every financial opportunity on earth. That’s why we’re building the first intelligent platform that connects anyone, anywhere to the world’s finance.

Trusted by more than 80 million users worldwide, Bybit brings together investing, trading, payments, and wealth-building in a single secure and intelligent ecosystem. Through the combination of AI-powered technology, deep global liquidity, robust security, and transparent operations, Bybit makes global finance more accessible, efficient, and empowering for everyone.

Built for everyone. Powered by intelligence. Open to the world.

Learn more at Bybit.com.
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SOURCE Bybit

Strategic alliance with Switzerland’s UBP brings global investment expertise and international wealth management capabilities to Taiwan’s growing high-net-worth market

TAIPEI, Oct. 23, 2026 /PRNewswire/ — Taishin International Bank (Taishin Bank) opened its flagship private banking branch in Kaohsiung’s Asia New Bay Area on October 23, the latest step in its push to serve southern Taiwan’s growing ranks of wealthy clients and connect the island’s wealth management market with the rest of Asia. The branch reflects Taishin Bank’s broader response to the government’s initiative to establish Taiwan as an Asian asset management hub. Sam Lin, Chief Executive Officer of Private Banking and Strategic Wealth Clients Group of Taishin Bank, hosted the opening ceremony. Taishin Bank also signed a memorandum of understanding to establish a strategic alliance with Union Bancaire Privée (UBP), one of Switzerland’s largest family-owned private banks, to draw on UBP’s expertise in wealth management for high-net-worth clients and international investment, strengthening Taishin Private Banking’s international reach and service capabilities.

“As the merger of Taishin FHC and Shin Kong FHC begins to deliver the benefits of greater scale, our customer base has grown to over 11 million,” Sharon Lin said. To meet fast-growing demand from wealthy clients, Taishin Bank established its Private Banking and High-End Wealth Management business in 2026, bringing together wealth planning advisers with more than 20 years of experience in financial services and Certified Financial Planner (CFP) or Associate Financial Planner (AFP) credentials, alongside experienced lawyers and accountants, to strengthen wealth planning services for high-net-worth clients. As global tax rules evolve and family businesses pass from one generation to the next, Taishin Private Banking’s family office offers comprehensive advisory services across five core areas: family investment management, wealth transfer, tax services, family governance and lifestyle management.

Michael Blake, UBP’s chief executive for Asia, expressed confidence in the partnership, pointing to the combined group’s substantial resources and deep experience in serving local clients. He said the partnership is built on shared corporate values, a client-first approach and complementary strengths: Taishin Bank brings an intimate understanding of the needs of high-net-worth clients in Taiwan, while UBP contributes a global investment perspective and extensive international wealth management experience. Looking ahead, Blake said UBP will share global market insights and expertise in asset allocation and investment management, helping Taishin’s private banking team broaden its international perspective and strengthen its professional capabilities through talent development and knowledge sharing. Both banks expect the partnership to help raise the standard of private banking services in Taiwan.

With over 35 years of experience in wealth management and a sustained commitment to serving high-net-worth clients, Taishin Bank has built a comprehensive private banking platform encompassing specialist teams, a broad range of financial products and operations in Taiwan, Hong Kong and Singapore. At the heart of the partnership with UBP is a shared ambition: to translate international expertise into tangible benefits for clients. Going forward, Taishin Bank will combine its deep understanding of the Taiwanese market and the needs of high-net-worth clients with UBP’s global market insights and investment expertise to further refine its approach to asset allocation, expand its product offerings and strengthen its wealth management capabilities, delivering a more comprehensive and internationally connected private banking experience.

Taishin Private Banking will remain rooted in Taiwan, strengthen its connections across Asia and extend its reach to global markets, guided by a commitment to professional excellence and the preservation of wealth across generations. True to its promise, “We are committed to safeguarding what you entrust to us,” the bank aims to be a trusted, long-term “asset and liability management partner” for high-net-worth clients and families — helping them manage their wealth with confidence, create long-term value and preserve their legacy for generations to come.

View original content to download multimedia:https://www.prnewswire.com/apac/news-releases/taishin-international-bank-opens-flagship-private-banking-branch-in-southern-taiwan-302918027.html

SOURCE Taishin International Bank (Taishin Bank)

BEIJING, Oct. 23, 2026 /PRNewswire/ — IQuest Research has published IQuest-Q1: Advancing Foundation Capabilities for Agentic CLI Systems, detailing the model’s architecture, complete training pipeline, results across 30 benchmarks, and role in iterative model development.

IQuest-Q1 is an open-source agentic foundation model optimized for command-line interface (CLI) interaction, software engineering, and complex multi-step tasks. Its sparse Mixture-of-Experts architecture comprises 320 billion total parameters, with 15 billion activated per token.

A Complete Training Pipeline, Beginning with Pre-Training

Developed from scratch, IQuest-Q1 progresses through pre-training, mid-training, and post-training. Pre-training and mid-training together cover approximately 29 trillion tokens, with context length progressively extended to 512K.

The architecture incorporates Stable SplitNorm, the Muon optimizer, and μP parameterization. In controlled experiments using identical training data, it required approximately 52% of the compute needed by a Qwen3-30B-A3B-style MoE baseline to reach the same training loss, corresponding to 1.93× scaling efficiency. The report also introduces Critical Model Size (CMS) to examine scaling limits under training-stability and optimization-efficiency constraints.

Post-training combines supervised fine-tuning, domain-specific reinforcement learning, Multi-Teacher On-Policy Distillation (MOPD), and model merging. Training spans multiple agent harnesses and versions, including Claude Code and Codex, to strengthen performance across different execution environments.

The report also describes Recursive Multi-Token Prediction, which adapts an MTP layer into a reusable drafter for speculative decoding, extending the drafting horizon within a fixed parameter budget.

Evaluations Across Coding and Agentic Workflows

The 30-benchmark evaluation suite covers software engineering, terminal operation, tool use, professional workflows, search, and reasoning. IQuest-Q1 scores 52.7 on AutomationBench, 51.8 on τ³-Banking, 74.1 on SkillsBench, 78.4 on MCP-Atlas, and 75.0 on Toolathlon-Verified.

The report also evaluates sustained interaction through Claw-Eval and IQuest-CLIBench, the team’s internal assessment combining user simulation, execution traces, and environment-state checks.

Full results, comparison baselines, and evaluation configurations are disclosed in the report.

Environment Integrity and Reward Hacking Mitigation

The team constructed more than one million executable, containerized task instances, retaining valid and complete trajectories for mid-training. Post-training environments use task-specific verifiers to ground learning in execution outcomes.

Environment preparation, execution-time checks, and trajectory auditing help mitigate reward hacking, including attempts to access hidden tests or leaked solutions. Confirmed cheating trajectories are excluded from training.

The report also documents model-assisted research under human supervision. In one experiment, an IQuest-Q1-based agent traced 6,054 tool calls to investigate 35 errors, identified training-data inconsistencies, and implemented a reviewed data-cleaning and augmentation plan. Validated methods and research assets will support subsequent model development.

Project resources are available through:

Technical Report: https://arxiv.org/pdf/2610.30949Blog: iquestlab.github.ioHugging Face: IQuestLab/IQuest-Q1GitHub: IQuestLab/IQuest-Q1

CONTACT: IQuest Research
research@iquestlab.com

View original content:https://www.prnewswire.com/news-releases/iquest-research-releases-iquest-q1-technical-report-detailing-training-from-scratch-and-results-across-30-benchmarks-302917967.html

SOURCE IQuest Research