# Token İlgili Makaleler

HTX Haber Merkezi, kripto endüstrisindeki piyasa trendleri, proje güncellemeleri, teknoloji gelişmeleri ve düzenleyici politikaları kapsayan "Token" hakkında en son makaleleri ve derinlemesine analizleri sunmaktadır.

After the Collapse of the Believe Flywheel Myth, the 26-Year-Old Prodigy Founder Stands as Defendant in Federal Court

In March 2026, 26-year-old Australian entrepreneur Ben Pasternak and his entities B24, Inc. and Believe Foundation were sued in a New York federal court. Investors accused Pasternak of deceptive practices and false advertising through three consecutive token offerings and a forced token migration, causing hundreds of millions in losses. The case centers on Believe (formerly Clout.me), a Solana-based social token launch platform Pasternak founded. Users could create tokens via tweets, with the platform token LAUNCHCOIN reaching a peak market cap of $370 million in May 2025. Pasternak initially claimed he had "zero ownership" of his self-named token, PASTERNAK, which crashed over 95% within a week. In October 2025, Believe forced a migration from LAUNCHCOIN to a new token, BELIEVE, increasing total supply by 33.3%. New tokens were allocated to team members, investors, and the foundation, diluting existing holders. Pasternak falsely claimed no tokens were allocated to insiders for a year, while the foundation received 40 million tokens with no lock-up. The platform generated an estimated $54 million in fees from $6 billion in trading volume. Pasternak earned creator fees throughout. After the migration, significant selling occurred from top wallets. BELIEVE’s value plummeted from its peak to around $1.2 million. Pasternak, a former teen prodigy who dropped out of school at 15, had previously founded apps like Monkey and the food-tech startup NUGGS. His personal life also drew attention, including a public breakup in early 2026. Once hailed as "the next Zuckerberg," he now faces legal and reputational collapse.

marsbit1 saat önce

After the Collapse of the Believe Flywheel Myth, the 26-Year-Old Prodigy Founder Stands as Defendant in Federal Court

marsbit1 saat önce

0G Labs Launches Consumer-Grade AI Development Platform Based on Decentralized Infrastructure

0G Labs has launched 0G App, a consumer AI development platform that enables users to build applications using natural language instructions without coding. It combines decentralized infrastructure, privacy-preserving Trusted Execution Environment (TEE) verification, and integrated token and AI agent deployment. The platform aims to bridge the gap between Web2 usability and Web3 infrastructure, allowing users to create, preview, and deploy applications entirely within a unified ecosystem. Key features include support for real-time iteration, hardware-secured AI inference (using Intel TDX and NVIDIA H100/H200), and the use of the GLM-5 74.4B parameter model. Additionally, 0G App includes a "Launcher Hub" for app, agent, and token deployment, with compute resources tied to the $0G token. Applications can be deployed to platforms like Vercel while storing data on 0G’s decentralized storage layer.

marsbit21 saat önce

0G Labs Launches Consumer-Grade AI Development Platform Based on Decentralized Infrastructure

marsbit21 saat önce

Ozak AI Maintains Strong Presale Activity as Market Attention Shifts Toward AI-Focused Blockchain Projects

Amid reduced crypto market volatility, investor focus is shifting toward utility-driven projects, with AI-blockchain initiatives like Ozak AI gaining prominence. While many altcoins struggle to attract funding, Ozak AI’s presale has surpassed $6 million, reflecting strong investor confidence. Priced at $0.014 per token, the project combines AI automation and analytics with decentralized infrastructure (DePIN) and cross-chain capabilities to support scalable Web3 applications. Strategic partnerships with firms like SINT, Hive Intel, and Pyth Network enhance its execution and data capabilities. This trend highlights a broader market move toward high-conviction, development-stage AI projects over speculative assets.

TheNewsCryptoDün 04:05

Ozak AI Maintains Strong Presale Activity as Market Attention Shifts Toward AI-Focused Blockchain Projects

TheNewsCryptoDün 04:05

Kraken is Also Issuing Tokens? A Comprehensive Guide to Ink Season 1 Points Program

Kraken Pro, the professional trading platform of the major cryptocurrency exchange Kraken, has launched the first season of its Ink Points program. Ink is Kraken’s Ethereum Layer 2 blockchain, introduced in October 2024, designed to simplify user onboarding into DeFi by addressing common pain points like complex wallet setups and high gas fees. The article explains the differences between Kraken's three service tiers: the basic Kraken for beginners, the subscription-based Kraken+ offering fee-free tiers, and Kraken Pro for advanced traders with lower fees and professional tools. All versions share the same account and funds. A step-by-step guide is provided for interacting with Kraken Pro: users must register, complete KYC, navigate to the "Promos" section to access Ink Points, deposit funds, and start trading to earn points. Ink Points serve as a loyalty incentive within the Ink Layer 2 ecosystem. Points are earned through trading, staking, and referrals on Kraken Pro, with an affiliate program offering 10% commission on referrals. Points are calculated daily, distributed weekly, and accumulated over four-week seasons. A ranked, tiered competition system is in place, though points currently have no monetary value or tokenization capability. The program is not accessible in all regions.

Odaily星球日报Dün 02:04

Kraken is Also Issuing Tokens? A Comprehensive Guide to Ink Season 1 Points Program

Odaily星球日报Dün 02:04

GenZVerse Unveils a Utility-First Web3 Platform That Prioritises Real Impact Over Speculation

GenZVerse introduces a utility-first Web3 platform built on Polygon’s Layer 2 blockchain, designed to prioritize tangible value over speculation. The platform integrates its native token into four core utility domains: governance voting, access to services, community rewards, and staking incentives—each tied to verifiable user actions rather than market speculation. It features fully open-source code, auditable smart contracts, and a transparent DAO structure to ensure accountability. The five-year roadmap focuses on phased development toward full decentralization by 2029, aiming to support millions of users with sustainable, community-driven growth.

TheNewsCrypto2 gün önce 11:22

GenZVerse Unveils a Utility-First Web3 Platform That Prioritises Real Impact Over Speculation

TheNewsCrypto2 gün önce 11:22

Whale Interest Builds Around Ozak AI After Token Price Records a 1,300% Rise While Total Presale Funding Crosses $6 Million

Ozak AI is gaining significant attention from large investors as its token price surged 1,300% during the presale, reaching $0.014, while total funding surpassed $6 million. This growth suggests institutional interest rather than retail speculation. The project focuses on AI-driven analytics, prediction infrastructure, and features like Prediction Agents, Ozak Stream Network, and EigenLayer integration. With a target listing price of $1.00 and strong partnerships, it offers high upside potential in the AI crypto narrative. Whale accumulation is increasing, indicating strategic positioning ahead of public trading, making Ozak AI a notable early-stage AI asset with substantial momentum.

TheNewsCrypto04/13 07:06

Whale Interest Builds Around Ozak AI After Token Price Records a 1,300% Rise While Total Presale Funding Crosses $6 Million

TheNewsCrypto04/13 07:06

Giants Collectively Raise Prices, Is the AI Price Hike Wave Coming? Can We Still Afford Lobster Employees?

Major AI companies, including Alibaba Cloud, Baidu Intelligent Cloud, Tencent Cloud, and Zhipu, have recently announced significant price increases for AI computing and storage services, with hikes ranging from 5% to over 460% in some models. This trend follows similar moves by global giants like Amazon AWS and Google Cloud earlier this year. The price surge is driven by explosive demand for computing power, fueled by the rapid adoption of AI agents like OpenClaw (referred to as "Lobster" in the article), which consume tokens at rates dozens or even hundreds of times higher than traditional AI applications. This has created a severe supply-demand imbalance. Additionally, shortages in high-end hardware—such as AI chips and high-bandwidth memory (HBM)—have constrained computing capacity and raised operational costs. The industry is shifting away from loss-leading pricing strategies toward value-based models, prioritizing sustainable development over market-share competition. A new "token economy" is emerging, where pricing is increasingly based on token usage, complexity, and speed rather than flat fees. This reflects AI computing's evolution from a generic service to a specialized, high-value resource. Some companies are even considering token allowances as part of employee benefits, highlighting its growing role as both a production tool and a cost factor. The article concludes by questioning whether AI services will remain affordable as compute costs continue to rise.

marsbit04/13 04:20

Giants Collectively Raise Prices, Is the AI Price Hike Wave Coming? Can We Still Afford Lobster Employees?

marsbit04/13 04:20

WLFI repays $25M in USDS, but token slides as market doubts persist

World Liberty Financial (WLFI) has repaid $25 million in USDS stablecoins over the past two days, responding to criticism over its borrowing practices. Despite this, its native token continues to decline, trading near $0.08—down over 7%—amid persistent market concerns. The project had previously borrowed over $75 million using its own tokens as collateral, raising fears over liquidity and potential bad debt. Although WLFI claims it is not near liquidation, investor confidence remains low. The token's RSI has fallen to around 25, indicating oversold conditions, but broader market uncertainty about its collateral strategy and risk management persists.

ambcrypto04/10 22:02

WLFI repays $25M in USDS, but token slides as market doubts persist

ambcrypto04/10 22:02

Presale Data Shows Ozak AI Raising Capital at Nearly 4× the Speed of Comparable AI Crypto Projects

Ozak AI ($OZ) is rapidly gaining traction in the AI crypto presale market, raising capital at nearly four times the speed of comparable projects. Currently in Phase 7 of its presale, the token is priced at $0.014, with over $6.6 million raised from the sale of more than 1.16 billion tokens. The project combines AI-driven predictive analytics with decentralized infrastructure (DePIN) and cross-chain functionality, emphasizing real-world utility over speculative hype. Key partnerships with firms like SINT, Hive Intel, Weblume, and Meganet enhance its ecosystem by integrating AI tools, data analytics, and scalable infrastructure. The $OZ token supports staking, governance, and platform incentives, with audited contracts ensuring security. Ozak AI’s measured presale structure and development milestones indicate strong investor confidence and long-term growth potential.

TheNewsCrypto04/10 13:13

Presale Data Shows Ozak AI Raising Capital at Nearly 4× the Speed of Comparable AI Crypto Projects

TheNewsCrypto04/10 13:13

From 'Word Unit' to 'Symbol Unit': The Debate Over the Chinese Translation of 'Token' and Its Underlying AI Cognitive Implications

Recent discussions have emerged regarding the official Chinese translation of the AI term "Token," which has been recommended as “词元” (Cíyuán, meaning "word unit") by the National Committee for Terminology in Science and Technology. While this translation is argued to align with historical usage in natural language processing (NLP) and is considered concise and communicable, this article presents a critical counterview advocating for “符元” (Fúyuán, meaning "symbol unit") as a more structurally accurate and future-proof alternative. The author argues that defining Token based on its origin in NLP—as a linguistic semantic unit—overlooks its evolution into a general-purpose, discrete symbolic unit used across multimodal systems (text, image, audio, etc.). Using “词元” ties the concept too narrowly to language, causing cognitive misalignment and semantic drift when applied in non-linguistic contexts. By contrast, “符元” reflects Token’s fundamental role as a symbol in information theory and computation, independent of modality. The article further critiques the reliance on metaphorical extensions (e.g., comparing image patches to “words”) as insufficient for rigorous terminology. It highlights risks including confusion with existing linguistic terms like Lemma (also translated as “词元”), poor cross-lingual reversibility (e.g., difficult back-translation to English), and systemic misunderstanding among non-expert audiences. In conclusion, the author emphasizes that terminology should align with computational essence—not historical usage or explanatory convenience—to ensure conceptual clarity and scalability in AI’s multidisciplinary future. “符元” is proposed as a more neutral, stable, and structurally coherent translation for Token.

marsbit04/10 10:43

From 'Word Unit' to 'Symbol Unit': The Debate Over the Chinese Translation of 'Token' and Its Underlying AI Cognitive Implications

marsbit04/10 10:43

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