A Russian spacecraft launched higher than most satellites has long had the Pentagon worried — and it apparently has a space nuke on it.

US Military Alarmed by Russian Nuclear Weapon Platform in Orbit

Space Banana SpaceX's latest test flight of its Starship spacecraft carried a highly unusual payload into orbit: a single banana. Footage showed the interior of the behemoth rocket being adorned with one, lonely piece of fruit. It also conveniently puts the size of the spacecraft to scale.

Starship Shoots Into Orbit With Single Banana in Cargo Hold

"X-37B missions have continuously advanced our nation's space capabilities by testing new technologies that reduce risk and inform our future space architectures," said program director for Boeing's Experimental Systems Group Holly Murphy in the video.

Boeing's Military Space Plane Just Slammed on the Brakes in Orbit

Some of the world's leading space experts are warning that the current space junk crisis surrounding our planet is soon to reach a head.

A Massive Space Junk Disaster in Orbit Is Inevitable Now, Scientists Warn

Orbit

orbit

(1) Samir Chitnavis, School of Biological and Behavioural Sciences, Queen Mary University of London, Mile End, London E1 4NS, UK & Digital Environment Research Institute, Queen Mary University of London, Empire House, Whitechapel E1 1HH, UK;
(2) Thomas J. Haworth, Astronomy Unit, Queen Mary University of London, Mile End Road, London E1 4NS, UK;
(3) Edward Gillen, Astronomy Unit, Queen Mary University of London, Mile End Road, London E1 4NS, UK;
(4) Conrad W. Mullineaux, School of Biological and Behavioural Sciences, Queen Mary University of London, Mile End, London E1 4NS, UK;
(5) Christopher D. P. Duffy, School of Biological and Behavioural Sciences, Queen Mary University of London, Mile End, London E1 4NS, UK & Digital Environment Research Institute, Queen Mary University of London, Empire House, Whitechapel E1 1HH, UK (Email: c.duffy@qmul.ac.uk). Table of Links Abstract and Introduction
2 Methodology
2.1 Local spectral irradiance as a function of stellar temperature
2.2 Thermodynamic model of an oxygenic light-harvesting system
2.3 Lattice model of an oxygenic light-harvesting system
3 Results
3.1 Orbital distances and incident spectral fluxes
3.2 Thermodynamic antenna model: Increasing antenna size in limited PAR
3.3 Lattice antenna model: Increasing the size of a “flat” antenna in limited PAR
3.4 Lattice antenna model: Improving antenna efficiency with an energetic ’funnel’
4 Discussion
Acknowledgements, Author Contribution Statement, Authors disclosure statement and References 3 Results 3.1 Orbital distances and incident spectral fluxes This paper is available on arxiv under CC 4.0 license. (1) Samir Chitnavis, School of Biological and Behavioural Sciences, Queen Mary University of London, Mile End, London E1 4NS, UK & Digital Environment Research Institute, Queen Mary University of London, Empire House, Whitechapel E1 1HH, UK; (2) Thomas J. Haworth, Astronomy Unit, Queen Mary University of London, Mile End Road, London E1 4NS, UK; (3) Edward Gillen, Astronomy Unit, Queen Mary University of London, Mile End Road, London E1 4NS, UK; (4) Conrad W. Mullineaux, School of Biological and Behavioural Sciences, Queen Mary University of London, Mile End, London E1 4NS, UK; (5) Christopher D. P. Duffy, School of Biological and Behavioural Sciences, Queen Mary University of London, Mile End, London E1 4NS, UK & Digital Environment Research Institute, Queen Mary University of London, Empire House, Whitechapel E1 1HH, UK (Email: c.duffy@qmul.ac.uk). (1) Samir Chitnavis, School of Biological and Behavioural Sciences, Queen Mary University of London, Mile End, London E1 4NS, UK & Digital Environment Research Institute, Queen Mary University of London, Empire House, Whitechapel E1 1HH, UK; (2) Thomas J. Haworth, Astronomy Unit, Queen Mary University of London, Mile End Road, London E1 4NS, UK; (3) Edward Gillen, Astronomy Unit, Queen Mary University of London, Mile End Road, London E1 4NS, UK; (4) Conrad W. Mullineaux, School of Biological and Behavioural Sciences, Queen Mary University of London, Mile End, London E1 4NS, UK; (5) Christopher D. P. Duffy, School of Biological and Behavioural Sciences, Queen Mary University of London, Mile End, London E1 4NS, UK & Digital Environment Research Institute, Queen Mary University of London, Empire House, Whitechapel E1 1HH, UK (Email: c.duffy@qmul.ac.uk). Table of Links Abstract and Introduction 2 Methodology 2.1 Local spectral irradiance as a function of stellar temperature 2.2 Thermodynamic model of an oxygenic light-harvesting system 2.3 Lattice model of an oxygenic light-harvesting system 3 Results 3.1 Orbital distances and incident spectral fluxes 3.2 Thermodynamic antenna model: Increasing antenna size in limited PAR 3.3 Lattice antenna model: Increasing the size of a “flat” antenna in limited PAR 3.4 Lattice antenna model: Improving antenna efficiency with an energetic ’funnel’ 4 Discussion Acknowledgements, Author Contribution Statement, Authors disclosure statement and References Abstract and Introduction Abstract and Introduction 2 Methodology 2.1 Local spectral irradiance as a function of stellar temperature 2.1 Local spectral irradiance as a function of stellar temperature 2.2 Thermodynamic model of an oxygenic light-harvesting system 2.2 Thermodynamic model of an oxygenic light-harvesting system 2.3 Lattice model of an oxygenic light-harvesting system 2.3 Lattice model of an oxygenic light-harvesting system 3 Results 3.1 Orbital distances and incident spectral fluxes 3.1 Orbital distances and incident spectral fluxes 3.2 Thermodynamic antenna model: Increasing antenna size in limited PAR 3.2 Thermodynamic antenna model: Increasing antenna size in limited PAR 3.3 Lattice antenna model: Increasing the size of a “flat” antenna in limited PAR 3.3 Lattice antenna model: Increasing the size of a “flat” antenna in limited PAR 3.4 Lattice antenna model: Improving antenna efficiency with an energetic ’funnel’ 3.4 Lattice antenna model: Improving antenna efficiency with an energetic ’funnel’ 4 Discussion 4 Discussion Acknowledgements, Author Contribution Statement, Authors disclosure statement and References Acknowledgements, Author Contribution Statement, Authors disclosure statement and References 3 Results 3.1 Orbital distances and incident spectral fluxes This paper is available on arxiv under CC 4.0 license. This paper is available on arxiv under CC 4.0 license. available on arxiv

Thermodynamic Limits Around M-dwarf Stars: Orbital Distances and Incident Spectral Fluxes

Authors:
(1) Agustin Moreno;
(2) Francesco Ruscelli. Table of Links Abstract
Introduction
Preliminaries
The B-signature
GIT sequence: low dimensions
GIT sequence: arbitrary dimension
Appendix A. Stability, the Krein–Moser theorem, and refinements and References Abstract We address the general problem of studying linear stability and bifurcations of periodic orbits for Hamiltonian systems of arbitrary degrees of freedom. We study the topology of the GIT sequence introduced by the first author and Urs frauenfelder in [FM], in arbitrary dimension. In particular, we note that the combinatorics encoding the linear stability of periodic orbits is governed by a quotient of the associahedron. Our approach gives a topological/combinatorial proof of the classical Krein–Moser theorem, and refines it for the case of symmetric orbits. This paper is available on arxiv under CC BY-NC-SA 4.0 DEED license. Authors: (1) Agustin Moreno; (2) Francesco Ruscelli. Authors: Authors: (1) Agustin Moreno; (2) Francesco Ruscelli. Table of Links Abstract Introduction Preliminaries The B-signature GIT sequence: low dimensions GIT sequence: arbitrary dimension Appendix A. Stability, the Krein–Moser theorem, and refinements and References Abstract Abstract Introduction Introduction Preliminaries Preliminaries The B-signature The B-signature GIT sequence: low dimensions GIT sequence: low dimensions GIT sequence: arbitrary dimension GIT sequence: arbitrary dimension Appendix A. Stability, the Krein–Moser theorem, and refinements and References Appendix A. Stability, the Krein–Moser theorem, and refinements and References Abstract We address the general problem of studying linear stability and bifurcations of periodic orbits for Hamiltonian systems of arbitrary degrees of freedom. We study the topology of the GIT sequence introduced by the first author and Urs frauenfelder in [FM], in arbitrary dimension. In particular, we note that the combinatorics encoding the linear stability of periodic orbits is governed by a quotient of the associahedron. Our approach gives a topological/combinatorial proof of the classical Krein–Moser theorem, and refines it for the case of symmetric orbits. This paper is available on arxiv under CC BY-NC-SA 4.0 DEED license. This paper is available on arxiv under CC BY-NC-SA 4.0 DEED license. available on arxiv

Addressing the General Problem of Studying Linear Stability and Bifurcations of Periodic Orbits

রৈখিক স্থিতিশীলতা এবং পর্যায়ক্রমিক কক্ষপথের বিভাজন অধ্যয়নের সাধারণ সমস্যা সমাধান করা

Behandlung des allgemeinen Problems der Untersuchung linearer Stabilität und Bifurkationen periodischer Bahnen

Abordar el problema general del estudio de la estabilidad lineal y las bifurcaciones de órbitas periódicas

Aborder le problème général de l'étude de la stabilité linéaire et des bifurcations des orbites périodiques

आवर्त कक्षाओं के रैखिक स्थायित्व और द्विभाजन के अध्ययन की सामान्य समस्या का समाधान

周期軌道の線形安定性と分岐を研究する一般的な問題への取り組み

선형 안정성과 주기 궤도 분기 연구의 일반적인 문제 해결

Resolvendo o problema geral do estudo da estabilidade linear e bifurcações de órbitas periódicas

К общей проблеме исследования линейной устойчивости и бифуркаций периодических орбит

Periyodik Yörüngelerin Doğrusal Kararlılığı ve Çatallanmalarının İncelenmesine İlişkin Genel Sorunun Ele Alınması

Giải quyết vấn đề chung của việc nghiên cứu sự ổn định tuyến tính và sự phân nhánh của quỹ đạo định kỳ

解决研究周期轨道的线性稳定性和分岔的一般问题

This paper is available on arxiv under CC 4.0 license.
Authors:
(1) Z. Jennings, Astrophysics Group, Keele University, Staffordshire, ST5 5BG, UK (E-mail: z.jennings@keele.ac.uk);
(2) J. Southworth, Astrophysics Group, Keele University, Staffordshire, ST5 5BG, UK;
(3) K. Pavlovski, Department of Physics, Faculty of Science, University of Zagreb, 10000 Zagreb, Croatia;
(4) T. Van Reeth, Institute of Astronomy, KU Leuven, Celestijnenlaan 200D, B-3001 Leuven, Belgium. Table of Links Abstract and Intro
Observation
Orbital Ephemeris
Radial Velocity Analysis
Spectral Analysis
Analysis of the Light Curve
Physical Properties
Asteroseismic Analysis
Discussion
Conclusion, Data Availability, Acknowledgments, and References
Appendix A: Ephemeris Determination
Appendix B: Iteratively Prewhitened Frequencies
Appendix C: Detected Tidally Perturbed Pulsations 3 ORBITAL EPHEMERIS We also fitted for the linear coefficients u of the quadratic limb darkening (LD) law while quadratic terms were taken from Claret & Bloemen (2011) and Claret (2017) for the Kepler and TESS bands, respectively; we used the estimated atmospheric parameters reported in the KIC to choose the appropriate values for the quadratic coefficients. We performed fits to the WASP light curve but the lower quality of this data compared to the Kepler and TESS light curves means that including these results in the calculation of the overall preliminary eclipse model would lead to less well determined parameters. Thus, we simply include the epochs of primary minimum estimated from the WASP light curves as additional observational constraints on T0 in the preliminary fits to the Kepler and TESS light curves. The adopted values for the light curve parameters from this preliminary analysis were taken as the weighted averages of the results from the fits to the individual Kepler quarters and TESS sectors, where the reciprocal of the squared errors from the covriance matrix were used as weights. These values are given in Table A1, and Fig. 2 shows the fit to the Kepler Quarter 0 light curve; high-frequency variability due to pulsations of the δ Scuti type is clearly visible at all orbital phases in the residuals shown in the lower panel, with amplitudes of around ±0.2 mmag. There seems to be a trend in the O-C diagram compared with the linear ephemeris, with data points corresponding to TESS observations (>1000 cycles) all appearing above the red line. Thus, we also attempted to fit for a quadratic ephemeris, which is represented by the blue dashed line in Fig. 3. However, the corresponding quadratic term was a similar size to its errorbar. We therefore decided to stick with the linear ephemeris which was measured to be: This paper is available on arxiv under CC 4.0 license. Authors: (1) Z. Jennings, Astrophysics Group, Keele University, Staffordshire, ST5 5BG, UK (E-mail: z.jennings@keele.ac.uk); (2) J. Southworth, Astrophysics Group, Keele University, Staffordshire, ST5 5BG, UK; (3) K. Pavlovski, Department of Physics, Faculty of Science, University of Zagreb, 10000 Zagreb, Croatia; (4) T. Van Reeth, Institute of Astronomy, KU Leuven, Celestijnenlaan 200D, B-3001 Leuven, Belgium. This paper is available on arxiv under CC 4.0 license. Authors: Authors: (1) Z. Jennings, Astrophysics Group, Keele University, Staffordshire, ST5 5BG, UK (E-mail: z.jennings@keele.ac.uk); (2) J. Southworth, Astrophysics Group, Keele University, Staffordshire, ST5 5BG, UK; (3) K. Pavlovski, Department of Physics, Faculty of Science, University of Zagreb, 10000 Zagreb, Croatia; (4) T. Van Reeth, Institute of Astronomy, KU Leuven, Celestijnenlaan 200D, B-3001 Leuven, Belgium. Table of Links Abstract and Intro Observation Orbital Ephemeris Radial Velocity Analysis Spectral Analysis Analysis of the Light Curve Physical Properties Asteroseismic Analysis Discussion Conclusion, Data Availability, Acknowledgments, and References Appendix A: Ephemeris Determination Appendix B: Iteratively Prewhitened Frequencies Appendix C: Detected Tidally Perturbed Pulsations Abstract and Intro Abstract and Intro Observation Observation Orbital Ephemeris Orbital Ephemeris Radial Velocity Analysis Radial Velocity Analysis Spectral Analysis Spectral Analysis Analysis of the Light Curve Analysis of the Light Curve Physical Properties Physical Properties Asteroseismic Analysis Asteroseismic Analysis Discussion Discussion Conclusion, Data Availability, Acknowledgments, and References Conclusion, Data Availability, Acknowledgments, and References Appendix A: Ephemeris Determination Appendix A: Ephemeris Determination Appendix B: Iteratively Prewhitened Frequencies Appendix B: Iteratively Prewhitened Frequencies Appendix C: Detected Tidally Perturbed Pulsations Appendix C: Detected Tidally Perturbed Pulsations 3 ORBITAL EPHEMERIS We also fitted for the linear coefficients u of the quadratic limb darkening (LD) law while quadratic terms were taken from Claret & Bloemen (2011) and Claret (2017) for the Kepler and TESS bands, respectively; we used the estimated atmospheric parameters reported in the KIC to choose the appropriate values for the quadratic coefficients. We performed fits to the WASP light curve but the lower quality of this data compared to the Kepler and TESS light curves means that including these results in the calculation of the overall preliminary eclipse model would lead to less well determined parameters. Thus, we simply include the epochs of primary minimum estimated from the WASP light curves as additional observational constraints on T0 in the preliminary fits to the Kepler and TESS light curves. The adopted values for the light curve parameters from this preliminary analysis were taken as the weighted averages of the results from the fits to the individual Kepler quarters and TESS sectors, where the reciprocal of the squared errors from the covriance matrix were used as weights. These values are given in Table A1, and Fig. 2 shows the fit to the Kepler Quarter 0 light curve; high-frequency variability due to pulsations of the δ Scuti type is clearly visible at all orbital phases in the residuals shown in the lower panel, with amplitudes of around ±0.2 mmag. There seems to be a trend in the O-C diagram compared with the linear ephemeris, with data points corresponding to TESS observations (>1000 cycles) all appearing above the red line. Thus, we also attempted to fit for a quadratic ephemeris, which is represented by the blue dashed line in Fig. 3. However, the corresponding quadratic term was a similar size to its errorbar. We therefore decided to stick with the linear ephemeris which was measured to be:

Physical Properties of the Eclipsing Binary KIC 9851944: Orbital Ephemeris

the revolutionary Web3 gaming platform, prepares to streak out of beta with a slew of ground-breaking initiatives that will redefine the way blockchain games are developed. LONDON, United Kingdom, March 28th, 2024/Chainwire/--Metacade, CEO, Russell Bennett, forecasts a series of landmark announcements across Q2 and Q3, 2024. Commencing with the appointment of an advisory board. Jamie King, Dan Hibell, Elly Bradbury, and Anders Christiansen combine premium Web2-Web3 commercial nous to spearhead Metacade’s expansion across Talent, Product, Utility, and Engagement. As blockchain games gear up to embrace one billion players, Metacade will mobilize advancements in game development. Fostering stronger bonds between games and experienced Web3 players, through immersive tournaments designed to improve gameplay. During beta, Metacade experienced high demand for this innovative approach. "Over 60 partners joined the Metacade ecosystem in a few months. It’s evidence that games and gamers seek deeper connection," notes newly appointed advisor Jamie King, co-founder of Rockstar Games. "Metacade's commitment to transform tournaments into a multi-asset environment adds substantial value, offering hyper utility for holders and gamers alike. It’s a big vision, focused beyond a single cycle and I’m looking forward to guiding it."Proflic angel investor and Web 3 guild expert, Dan Hibell adds, “For Web3 gaming to reach mainstream adoption we have to address accessibility and usability. Gamers don’t want to pay outrageous prices for an item or wait for a node validator to process a transaction before getting their seasonal cosmetic item. Metacade exists to help builders improve these Web3 issues, the infrastructure use case is needed industry-wide.” Metacade’s test-play tournament model is already proving successful, attracting a fast-growing community of seasoned Web3 gamers chasing rewards for early-stage feedback. “Community is the most under-valued business asset,” says former Director, Columbia Tristar and seasoned Web3 marketing advisor, Elly Bradbury. “Die-hard communities are built on value add experiences, where belonging is about believing. Metacade has invested in all the right early-stage community layers, building a super fan OG culture showing all the hallmarks of explosive brand growth.” Next stage platform developments draw on partner insights. “Metacade is already booming,” said Bennett. “We have a thriving partner ecosystem with shared values. It’s clear our best shot at backing winners is to innovate frictionless blockchain infrastructure so that our partners can do what they do best; create and innovate.” To meet this expansion, Metacade’s team will be strategically shaped by leading Web3 recruiter and business development expert, Anders Christiansen. With a proven track record, Christiansen has facilitated 100+ c-suite placements across the industry through his previous business Priority Crypto. “Metacade’s novel business plan will depend on forward-thinking people with multi-disciplined experience. I’m excited to bring those leading minds to Metacade.” About METACADE: is a seamless Web3 Gaming platform connecting developers and players through plug-and-play community initiatives. Providing an unfair advantage through early access, dev-player collaborations, and financial rewards. Metacade Contact Elly Bradbury Metacade marketing@metacade.co This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here.

Rockstar Co-Founder And All-star Line Up Join Advisory Board To Take Metacade Into Post-Beta Orbit

রকস্টার সহ-প্রতিষ্ঠাতা এবং অল-স্টার লাইন আপ মেটাকেড পোস্ট-বিটা অরবিটে নিয়ে যাওয়ার জন্য উপদেষ্টা বোর্ডে যোগদান করেন

Rockstar-Mitbegründer und All-Star-Besetzung treten dem Beirat bei, um Metacade in die Post-Beta-Umlaufbahn zu bringen

El cofundador de Rockstar y el equipo de estrellas se unen al consejo asesor para llevar Metacade a la órbita post-beta

Le co-fondateur de Rockstar et son line-up All-Star rejoignent le conseil consultatif pour amener Metacade sur l'orbite post-bêta

रॉकस्टार के सह-संस्थापक और ऑल-स्टार लाइन अप मेटाकेड को पोस्ट-बीटा कक्षा में ले जाने के लिए सलाहकार बोर्ड में शामिल हुए

ロックスターの共同創設者とオールスター陣が諮問委員会に参加し、メタケードをベータ後の軌道に乗せる

Rockstar 공동 창업자와 올스타 라인업이 자문위원회에 합류하여 메타케이드를 베타 이후 궤도로 끌어올립니다.

O cofundador da Rockstar e a formação de estrelas unem-se ao conselho consultivo para levar o Metacade à órbita pós-beta

Соучредитель Rockstar и звездный состав присоединились к консультативному совету, чтобы вывести Metacade на орбиту пост-бета-тестирования

Rockstar Kurucu Ortağı ve All-Star Dizilişi, Metacade'i Beta Sonrası Yörüngeye Taşımak İçin Danışma Kuruluna Katıldı

Người đồng sáng lập Rockstar và dàn sao toàn năng tham gia Ban cố vấn để đưa Metacade vào quỹ đạo hậu Beta

Rockstar 联合创始人和全明星阵容加入顾问委员会，推动 Metacade 进入后 Beta 轨道

Orbiter Finance, a pioneering force in the blockchain industry, is making headlines with the introduction of Vizing, an innovative zero-knowledge proof (ZK)-powered Ethereum layer 2 (L2) network. Orbiter Finance has captured the attention of over 3 million users with its cross-chain bridge, facilitating asset swaps across various Layer-2 networks. Strategic Support from Esteemed Backers Building on the momentum gained from its successful 2022 seed round, which attracted investments from distinguished backers like Tiger Global Management and Matrixport, Orbiter Finance now secures strategic support from OKX Ventures. This endorsement underscores the growing confidence in Orbiter Finance's vision and technological capabilities. A ZK Proof Powerhouse Heralds the END GAME for Scaling Vizing leverages Orbiter Finance's expertise in zero-knowledge proof technology to address Ethereum's scalability challenges while enhancing security. With its deep understanding of ZK-powered solutions, Orbiter Finance is poised to usher in a new era of efficiency and reliability for Ethereum users. Expanding Reach with Orbiter Vizing Orbiter Finance is set to diversify its portfolio by introducing Orbiter Vizing, a groundbreaking zero-knowledge proof powered "meta-layer." This innovative addition aims to provide users with enhanced capabilities and streamline their experience within the Ethereum ecosystem. By incorporating Orbiter Vizing into its suite of solutions, Orbiter Finance is poised to further elevate its status in the blockchain space and offer users unparalleled access to advanced technologies. An "Omni-connection" Future Envisioned Central to is the concept of an "omni-connection" future. With Vizing, Orbiter Finance seeks to simplify the process of transferring assets and data across all Layer-2 networks, providing users with a seamless experience. By offering a unified interface, Vizing unlocks new opportunities for collaboration and innovation within the Ethereum ecosystem. Orbiter Finance's mission Orbiter Releases Token Launch Plans: Anticipating a significant milestone, Orbiter Finance has announced plans for a token launch in 2024. The tokenomics and distribution strategy will be gradually unveiled throughout the year, offering users a comprehensive ecosystem that goes beyond Orbiter Bridge and Vizing. This token will play a vital role in governance, incentivization, and value transfer within the Orbiter Finance ecosystem. Orbiter Finance's introduction of Vizing marks a significant step forward in Ethereum's evolution. , Orbiter Finance is well-positioned to lead the charge towards a more scalable and interconnected blockchain infrastructure. As Orbiter Finance continues to unveil its plans for Vizing, the future of decentralized finance looks increasingly promising. Stay tuned for more updates as Orbiter Finance reshapes the landscape of blockchain technology. With OKX Ventures' backing This story was distributed as a release by ZEX MEDIA under HackerNoon’s Brand As An Author Program. Learn more about the program . here

Orbiter Finance Unveils Vizing: A Game-Changing ZK-Powered Ethereum Layer 2 Network

অরবিটার ফাইন্যান্স ভাইজিং উন্মোচন করেছে: একটি গেম-চেঞ্জিং ZK-চালিত ইথেরিয়াম লেয়ার 2 নেটওয়ার্ক

Orbiter Finance stellt Vizing vor: Ein bahnbrechendes ZK-basiertes Ethereum Layer 2-Netzwerk

Orbiter Finance presenta Vizing: una innovadora red Ethereum Layer 2 impulsada por ZK

Orbiter Finance dévoile Vizing : un réseau Ethereum Layer 2 révolutionnaire alimenté par ZK

ऑर्बिटर फाइनेंस ने विज़िंग का अनावरण किया: एक गेम-चेंजिंग ZK-पावर्ड एथेरियम लेयर 2 नेटवर्क

Orbiter Finance が Vizing を発表: 革新的な ZK 搭載イーサリアム レイヤ 2 ネットワーク

Orbiter Finance, Vizing 공개: 판도를 바꾸는 ZK 기반 Ethereum 레이어 2 네트워크

Orbiter Finance revela Vizing: uma rede Ethereum Layer 2 revolucionária alimentada por ZK

Orbiter Finance представляет Vizing: революционную сеть Ethereum Layer 2 на базе ZK

Orbiter Finance, Vizing'i Tanıtıyor: Oyunun Kurallarını Değiştiren ZK Destekli Ethereum Katman 2 Ağı

Orbiter Finance tiết lộ Vizing: Mạng Ethereum lớp 2 được hỗ trợ bởi ZK có thể thay đổi trò chơi

Orbiter Finance 推出 Vizing：改变游戏规则、由 ZK 驱动的以太坊第 2 层网络

You can jump to any section of y The National Cislunar Science & Technology Strateg here. Objective 3: Extend U.S. space situational awareness capabilities into Cislunar space SSA is essential to safe and successful spacecraft operations in all orbits, including in Cislunar space. SSA data, for example, help satellite operators avoid collisions with other satellites or debris, support rendezvous and proximity operations, and enable the identification of anomalous, irresponsible, or potentially dangerous spacecraft operations and space weather phenomena of significance. Expanded SSA capabilities will also provide benefits to, and benefit from, future missions to detect and warn of incoming potentially hazardous asteroids. The U.S. government will aim to understand the long-term effects of growing human activities on the Cislunar environment, and to preserve a safe and sustainable environment in Cislunar space—such as limiting debris in Lunar orbit. The following sub-objectives will advance this objective: Though there are designs for preliminary program architectures, a comprehensive framework for the SSA R&D needs for Cislunar space remains undeveloped. The United States will support R&D to advance technology useful for Cislunar SSA, including improved monitoring methods and better understanding of Cislunar orbit families and spacecraft dynamics. In pursuing this work, the United States will leverage work undertaken across the Federal government, the private sector, and relevant standards developing organizations. The United States should pursue cooperation with all entities operating in Cislunar space to identify and track emerging requirements, and make recommendations for SSA and transparency improvements. Evaluate SSA needs, priorities, and existing gaps for extending current SSA capabilities into Cislunar space. The United States should advance Cislunar SSA by initially identifying an architecture that optimizes terrestrial, Lunar-based, and space-based sensors, then leveraging existing ground-based sensors and developing new ground-based sensors as needed. Existing sensors should be investigated to determine if upgrades and/or modification to sensor software and hardware can improve detection of objects in Cislunar space. The U.S. government will support demonstrations of new, cost-effective terrestrial sensing capabilities optimized for Cislunar space, as well as continue developing and testing cost-effective space-based sensors for Cislunar SSA. These in-space tests should leverage orbits available in Cislunar space that can potentially enhance SSA capabilities. U.S. government organizations will leverage partnerships with the private sector to reduce the cost of Cislunar SSA capabilities. Develop or improve current ground-based sensors, and demonstrate cost-effective space-based and Lunar surface sensors, as needed. The scale and geometry of Cislunar space makes global networks of diverse sensors valuable to robust SSA, highlighting the value of international and private sector collaboration. The United States will pursue Cislunar SSA sharing with international collaborators, private sector actors, and academic institutions operating in Cislunar space. This could include joint research and development efforts, joint efforts on standards, and other areas. Due to the global importance of Cislunar SSA, the U.S. government will explore opportunities to increase the volume and speed of science and avoid duplication while coordinating critical overall efforts. Increase cooperation and data-exchanges with other users of Cislunar space. Data formatting and standards between the U.S. government and private and international space missions will need to be coordinated to ensure compatibility. The U.S. government will develop and maintain an integrated catalog of Cislunar objects, both natural and human-made, utilizing data from all available sources and in collaboration with private entities. The catalog should include human-made objects on the Lunar surface. The catalog should also include information about objects that can aid in assuring compatible coexistence with spacecraft and scientific investigations, including those from the Shielded Zone of the Moon. If possible, satellite operators should periodically provide their planned maneuvers and trajectories to the catalog. Develop an integrated Cislunar object catalog. Consistent with national policy, including Space Policy Directive-3, the U.S. government will continue to share SSA information and provide basic spaceflight safety services to all space operators. A civilian open data platform will be used to leverage Cislunar SSA data and services provided from a variety of government, commercial, academic, and international sources. Additional discovery and characterization of potentially hazardous objects may leverage the International Astronomical Union’s (IAU) Minor Planet Center, the longstanding U.S. contribution via NASA’s Office of Planetary Defense. Develop procedures for publicly sharing Cislunar space situational awareness data, as well as navigation and spaceflight safety support in Cislunar space. This content was initially published on in November 2022. whitehouse.gov This content has been broken-up into bite sized sections each with unique headlines and AI-generated lead images in line with the provisions of Creative Commons 3.0.

Guardians of the Galaxy: U.S. Ambitions to Expand Space Awareness Beyond Earth's Orbit

গ্যালাক্সির অভিভাবক: পৃথিবীর কক্ষপথের বাইরে মহাকাশ সচেতনতা প্রসারিত করার জন্য মার্কিন উচ্চাকাঙ্ক্ষা

Guardians of the Galaxy: Ambitionen der USA, das Weltraumbewusstsein über die Erdumlaufbahn hinaus zu erweitern

Guardianes de la Galaxia: Ambiciones de Estados Unidos para expandir la conciencia espacial más allá de la órbita terrestre

Gardiens de la Galaxie : les ambitions américaines d'étendre la sensibilisation à l'espace au-delà de l'orbite terrestre

गैलेक्सी के संरक्षक: पृथ्वी की कक्षा से परे अंतरिक्ष जागरूकता का विस्तार करने की अमेरिकी महत्वाकांक्षाएँ

ガーディアンズ・オブ・ギャラクシー：地球の軌道を超えて宇宙への意識を拡大するという米国の野心

가디언즈 오브 갤럭시: 지구 궤도 너머로 우주 인식을 확장하려는 미국의 야망

Guardiões da Galáxia: ambições dos EUA para expandir a consciência espacial além da órbita da Terra

Стражи Галактики: амбиции США по расширению космической осведомленности за пределами земной орбиты

Galaksinin Koruyucuları: ABD'nin Uzay Bilincini Dünya Yörüngesinin Ötesine Genişletme Hırsları

Những người bảo vệ thiên hà: Tham vọng của Hoa Kỳ nhằm mở rộng nhận thức về không gian ngoài quỹ đạo Trái đất

银河护卫队：美国将太空意识扩展到地球轨道之外的野心

The purpose of my project is to build a system for tracking satellites in orbit. The system will position directional antennas and make it possible to communicate with the satellites. The project requires stepper motors with high torque. Supplies a planetary gearbox stepper motor gerar ratio 100:1 a large bearing a hexagonal piece a 12 mm steel drive shaft extension a rigid flange coupling motor guide 3d printed pieces a few circuits based around the Trinamic Motor Control TMC2041 IC a motion sensor through hole slip rings Step 1: The Installation of the Motor The installation of the motor was somewhat complicated. It included designing a center Pilon inside the enclosure to seat the motor. Then, manufacturing of a metal plate to bolt the motor to the pilon. Next, a large bearing was bolted to the top of the frame and the rotor was then bolted to the bearing. The top of the drive shaft was fitted with a hexagonal piece that mated with the bottom of the rotor. The rotor was then electrically coupled to the lower unit via slip ring. In addition to these components, I made a 12 mm steel drive shaft extension and used it with a bore brass shaft coupler from. The purpose of this device is to couple the motor shaft to the extension shaft. The Slip ring was then added onto the extension shaft. Finally, a rigid flange coupling motor guide was placed on top of the extension shaft, this made it possible for me to fit the hexagonal-shaped drive piece onto the top of the shaft and couple the motor to the rotor. This final piece was 3d printed because of its unique shape and enabled me to drive the rotor. Unfortunately, the plastic is not very strong and the result is the rotor has about 5 degrees of wiggle back and forth. However, this is a difficult problem to solve. I am hoping to fix this problem in the newer model that I plan on building. In addition, I hope by selecting the high precision planetary gearbox motor will give me less wiggle on the motor than the economy planetary gearbox I used on the previous model. Step 2: Drive the Motor To drive the motor I have designed and assembled a few circuits based around the Trinamic Motor Control TMC2041 IC. This integrated chip simplifies the driving of stepper motors, making it possible to drive up to two motors from a single chip. This IC boasts a remarkable 1/256 micro stepping resolution. This also gives the unit a remarkable step resolution that can be calculated as the steps per degree of the motor (1.8 degrees/57 gear ratio) then divide this quantity by the microstep resolution of 256. The resulting step resolution of the current project is then 0.000150 degrees of 150 millionths of a degree. This extremely fine resolution gives rise to very smooth motor accelerations and further enhances the utility of your motors. Step 3: Measure Accelerations and Read Direction Unfortunately, the current circuit does not allow for use of the rotary encoder built into the motor. As a result, the device uses a motion sensor attached to the rotor to measure accelerations and read direction. Although it would be very useful to me to have an encoder, I can not free up enough GPIO pins to read all of the pins of the encoder. With the new motor, which has 1:100 gear ratio the new design will achieve a 70 millionths of a degree resolution. This will be yet another improvement that will lead to smoother motor motion and more accurate performance. Wrapping Up The purpose of my project is to build a system for tracking satellites in orbit. The system will position directional antennas and make it possible to communicate with the satellites. The project requires stepper motors with high torque.

DIY Tutorial: Building a System to Track and Communicate with Satellites in Orbit

Hello beautiful programmers! Welcome to the Programming and Doodles blog, today, we’re going to talk about How OpenAI’s ChatGPT works. Yes, the GPT that helps you with everything and still gets yelled at. Here’s the catch though: we are not going to talk about how AI/ML models work in general. Everyone in programming or tech knows how they basically work— training using a sample dataset and then producing outputs based on analyzed data. We are going to specifically talk about how OpenAI has built its ChatGPT model, the most used chatbot as of December 2024. We are going to look at its software architecture,  the use of advanced transformer networks, and how Reinforcement Learning from Human Feedback (RLHF) fine-tunes the model for conversational tasks. We'll also examine the integration of scalability and real-time updates to ensure accuracy and context-awareness in responses. And a quick twist: this is not written by ChatGPT (despite Quillbot’s accusation). Scroll down and see for yourself! In a glance, ChatGPT, powered by OpenAI’s latest model, GPT-4, is a “sophisticated“ deep learning model based on the Transformer architecture, which is at the heart of modern Natural Language Processing (or, as we call it, NLP). What’s explained in the next sections is how ChatGPT takes your input and produces outputs, from breaking down text into tokens, understanding context with transformer architecture, generating predictions step by step, and refining outputs. Let me break it down. 1. The Transformer Architecture Are you old enough to remember RNNs, which stands for Recurrent Neural Networks? Then I’m sure you know that it’s this “Transformer Model“ that basically replaced them in 2017. If you’re wondering how the Transformer model works, think like this: Imagine reading a book where we can see every word on the page at the same time. That’s what the transformer does: it looks at all the words at once rather than word-by-word. This process improves both speed and understanding. These transformers utilize self-attention, which helps the model focus on the most important parts of a certain sentence while ignoring irrelevant information (which is also the reason why you need to repeat some parts of the command while working with ChatGPT). After this attention layer identifies the relevant words, a feedforward network polishes the output by applying learned weights (i.e., trained parameters, which stand for numerical values adjusted during the model’s optimization process). This combination helps ChatGPT deliver smart and quick responses— most of the time, actually. 2. Tokenization Whenever you enter an input text into ChatGPT, the first thing it does is break it into small units, which we call “Tokens“. This is done through a method like Byte Pair Encoding (or BPE). Thereafter, these tokens are converted into vectors (numerical representations) that machines can understand. And that’s what we call Tokenization. For example, if you type hello world, the model breaks it down to tokens like “Hello“ and “world“, creating vectors for them. During the training phase, these vectors are fine-tuned to capture the relationships between those words, which is explained in the next section. 3. Training As you might already know, GPT-4 is trained on large amounts of text, from books, websites, research papers, and other resources. It has learned language rules as well as patterns by reading millions of sentences from those sources. This is very similar to how children learn to speak through exposure to conversations and reading— only a bit easier and expensive. Let’s not talk much about training here; there are huge amounts of resources explaining how ChatGPT is trained, and here’s one video on YouTube that simplifies the thing: https://youtu.be/VPRSBzXzavo?si=fO7CMBj-uEGWC9Nv&embedable=true Oh, but this is important: for the optimization of the modal, something called “backpropagation“ is used; In simplest words, backpropagation is basically a fancy word for reverse feedback. The system itself checks how far off its “guess“ was (we call it a “loss“ value in Machine learning), works backward through its calculations, and adjusts itself to do better next time. Yup, ChatGPT is such a self-motivated and self-driven individual! 4. Response Generation When we ask ChatGPT a question, it usually generates one word at a time. Sure, we can see its beautiful front end making it look like it’s basically messaging with you like a real-time person, but that’s not what’s really happening. It’s also similar to the game of “20 Questions“, where you gradually build the answer based on each previous guess. But also note that ChatGPT uses different techniques (or should we call them tricks?) to make responses more varied and accurate— like temperature and top-k sampling. 5. Reinforcement Learning from Human Feedback (RLHF) When it comes to fine-tuning ChatGPT, RLHF is an important process. As the name suggests, it’s a process that refines ChatGPT’s responses by using feedback from human evaluators. Of course, ChatGPT is already capable of generating responses by itself, but it requires fine-tuning to ensure its responses are contextually relevant. Just imagine: after all this fine-tuning, it still provides contextually irrelevant info sometimes. If there was no fine-tuning at all, ChatGPT would go into chaos. Jokes aside, the overall purpose of RLHF is to help ChatGPT become more aligned with user expectations and thereby result in better and more accurate interactions. And that should be all. Hope I covered everything! Oh, wait a minute, why don’t I ask ChatGPT for a review of this article? Wrapping Up You might feel like this article was too fast-moving, quick, and small. But that’s mostly because it was intended for programmers! What I wanted to do here is to provide lesser-known details and facts about the ChatGPT, not the things everybody knows about. That’s why it has much content in some areas and less content in some sections. But if we still have a hard time understanding what’s going on behind the code in ChatGPT, please shoot me an email or connect with me on my LinkedIn. If you loved this article, make sure to subscribe using your email, so you can read all my content inside your inbox without missing any! Hello beautiful programmers! Welcome to the Programming and Doodles blog, today, we’re going to talk about How OpenAI’s ChatGPT works. Yes, the GPT that helps you with everything and still gets yelled at. Here’s the catch though: we are not going to talk about how AI/ML models work in general. Everyone in programming or tech knows how they basically work— training using a sample dataset and then producing outputs based on analyzed data. We are going to specifically talk about how OpenAI has built its ChatGPT model , the most used chatbot as of December 2024. We are going to look at its software architecture,  the use of advanced transformer networks, and how Reinforcement Learning from Human Feedback (RLHF) fine-tunes the model for conversational tasks. We'll also examine the integration of scalability and real-time updates to ensure accuracy and context-awareness in responses. specifically talk about how OpenAI has built its ChatGPT model Reinforcement Learning from Human Feedback (RLHF) scalability real-time updates And a quick twist: this is not written by ChatGPT (despite Quillbot’s accusation). Scroll down and see for yourself! In a glance, ChatGPT, powered by OpenAI’s latest model, GPT-4, is a “sophisticated“ deep learning model based on the Transformer architecture, which is at the heart of modern Natural Language Processing (or, as we call it, NLP ). NLP What’s explained in the next sections is how ChatGPT takes your input and produces outputs, from breaking down text into tokens, understanding context with transformer architecture, generating predictions step by step, and refining outputs. Let me break it down. 1. The Transformer Architecture Are you old enough to remember RNNs, which stands for Recurrent Neural Networks? Then I’m sure you know that it’s this “Transformer Model“ that basically replaced them in 2017. If you’re wondering how the Transformer model works, think like this: Imagine reading a book where we can see every word on the page at the same time. That’s what the transformer does: it looks at all the words at once rather than word-by-word. This process improves both speed and understanding. These transformers utilize self-attention, which helps the model focus on the most important parts of a certain sentence while ignoring irrelevant information (which is also the reason why you need to repeat some parts of the command while working with ChatGPT). important parts repeat some parts of the command After this attention layer identifies the relevant words, a feedforward network polishes the output by applying learned weights (i.e., trained parameters, which stand for numerical values adjusted during the model’s optimization process). This combination helps ChatGPT deliver smart and quick responses— most of the time, actually. feedforward network 2. Tokenization Whenever you enter an input text into ChatGPT, the first thing it does is break it into small units, which we call “Tokens“. This is done through a method like Byte Pair Encoding (or BPE). Thereafter, these tokens are converted into vectors (numerical representations) that machines can understand. And that’s what we call Tokenization. For example, if you type hello world, the model breaks it down to tokens like “Hello“ and “world“, creating vectors for them. During the training phase, these vectors are fine-tuned to capture the relationships between those words, which is explained in the next section. 3. Training As you might already know, GPT-4 is trained on large amounts of text, from books, websites, research papers, and other resources. It has learned language rules as well as patterns by reading millions of sentences from those sources. This is very similar to how children learn to speak through exposure to conversations and reading— only a bit easier and expensive. Let’s not talk much about training here; there are huge amounts of resources explaining how ChatGPT is trained, and here’s one video on YouTube that simplifies the thing: https://youtu.be/VPRSBzXzavo?si=fO7CMBj-uEGWC9Nv&embedable=true https://youtu.be/VPRSBzXzavo?si=fO7CMBj-uEGWC9Nv&embedable=true Oh, but this is important: for the optimization of the modal, something called “backpropagation“ is used; In simplest words, backpropagation is basically a fancy word for reverse feedback . The system itself checks how far off its “guess“ was (we call it a “loss“ value in Machine learning), works backward through its calculations, and adjusts itself to do better next time. reverse feedback Yup, ChatGPT is such a self-motivated and self-driven individual! 4. Response Generation When we ask ChatGPT a question, it usually generates one word at a time. Sure, we can see its beautiful front end making it look like it’s basically messaging with you like a real-time person, but that’s not what’s really happening. one word at a time. It’s also similar to the game of “20 Questions“, where you gradually build the answer based on each previous guess. But also note that ChatGPT uses different techniques (or should we call them tricks?) to make responses more varied and accurate— like temperature and top-k sampling. 5. Reinforcement Learning from Human Feedback (RLHF) When it comes to fine-tuning ChatGPT, RLHF is an important process. As the name suggests, it’s a process that refines ChatGPT’s responses by using feedback from human evaluators. Of course, ChatGPT is already capable of generating responses by itself, but it requires fine-tuning to ensure its responses are contextually relevant. requires Just imagine: after all this fine-tuning, it still provides contextually irrelevant info sometimes. If there was no fine-tuning at all, ChatGPT would go into chaos. Jokes aside, the overall purpose of RLHF is to help ChatGPT become more aligned with user expectations and thereby result in better and more accurate interactions. And that should be all. Hope I covered everything! Oh, wait a minute, why don’t I ask ChatGPT for a review of this article? Wrapping Up You might feel like this article was too fast-moving, quick, and small. But that’s mostly because it was intended for programmers! What I wanted to do here is to provide lesser-known details and facts about the ChatGPT, not the things everybody knows about. That’s why it has much content in some areas and less content in some sections. But if we still have a hard time understanding what’s going on behind the code in ChatGPT, please shoot me an email or connect with me on my LinkedIn. shoot me an email connect with me on my LinkedIn. If you loved this article, make sure to subscribe using your email, so you can read all my content inside your inbox without missing any!

If You Need a Primer on ChatGPT, Look No Further

Happy New Year, Hackers! Buckle up—we’re going to space 🚀🚀🚀 Spacecoin, a Decentralized Physical Infrastructure Network (DePIN) powered by satellites, has teamed up with HackerNoon to launch the Spacecoin Writing Contest. Spread across 3 rounds, the contest offers 15,000 USDT in prizes for up to 15 winners! Spacecoin’s mission addresses the centralized control governments and select multinationals have over internet infrastructure. By harnessing Low-Earth Orbit (LEO) satellites and blockchain technology, Spacecoin is focused on delivering decentralized, high-speed internet access to underserved regions, reducing risks such as single points of failure and even censorship. This Contest is an opportunity for writers, space geeks, and champions of decentralization to plug into Spacecoin’s mission—connecting purpose to blockchain infrastructure and bridging digital divides to bring affordable, borderless connectivity to billions—and win from a 15,000 USDT prize pool. Enter the Spacecoin Writing Now! What to Write About in the Spacecoin Writing Contest Write an article under any of the contest tags below: #decentralized-internet What will a decentralized internet look like? Share your thoughts with this writing template or see full list of writing prompts for more #decentralized-internet story ideas. #spacetech How has science fiction influenced space exploration? Share your thoughts with this writing template or see full list of writing prompts for more #spacetech story ideas. #blockchain-use-case What’s an underrated real-world blockchain use case you’re excited about, and why? Share your thoughts with this writing template or see full list of writing prompts for more #blockchain-use-case story ideas. Additionally, writers can submit stories under our sponsor tags: #spacecoin Discuss Spacecoin’s mission to decentralize the internet. Share your thoughts with this writing template #creditcoin How Does Creditcoin Create Trust in On-Chain Lending Ecosystems? Share your thoughts with this writing template #gluwa How does Gluwa facilitate global financial inclusion? Share your thoughts with this writing template Spacecoin Writing Contest Submission Windows Round 1: Jan 7, 2025 - Apr 7, 2025
Round 2: Apr 8, 2025 - Jul 7, 2025
Round 3: Jul 8, 2025 - Oct 7, 2025 Prize Breakdown Up to 15 writers will be awarded across 5 categories throughout the 9-month-long contest as follows:



General Prizes  (3000 USDT awarded after each round)

Sponsor prizes (6000 USDT awarded after the final round)



#decentralized-internet - 1000 USDT for best story

#spacecoin - 2000 USDT for best story



#spacetech - 1000 USDT for best story | 500 USDT for runner up

#creditcoin - 2000 USDT for best story



#blockchain-use-case - 500 USDT for best story

#gluwa - 2000 USDT for best story The Spacecoin Writing Contest: Guidelines Must be 18+ to enter
You can enter the contest by adding the appropriate tag to your story. (#spacetech, #decentralized-internet, #realworld-blockchain-usecase, #spacecoin, #creditcoin, #gluwa)
Must create a HackerNoon account.
No AI-generated content FAQs Can I Write Under a Pen Name? Yes! You can use your real name on your HN profile, a fake name, or even create a persona to write under. How Long Will the Contest Run? The contest consists of 3 rounds and will run for nine months. Round 1: Jan 7, 2025 - Apr 7, 2025
Round 2: Apr 8, 2025 - Jul 7, 2025
Round 3: Jul 8, 2025 - Oct 7, 2025 Can I submit more than one entry to the contest? Of course! Each story submission shall be considered a separate entry into the writing contest. How are the winners selected? At the end of each round, we’ll review submitted entries and shortlist the stories that receive the most eyeballs (real humans, not bots!).
Next, the shortlisted stories will be voted on by HackerNoon and Spacecoin staff.
The top #decentralized-internet, #spacetech, and #realworld-blockchain-usecase stories will be selected and announced.
After the contest’s final round ends, we’ll announce the winners of the sponsor prizes along with 3 other categories. Can I win more than one prize? Yes. Ready to Win Big? Start a draft to enter the Spacecoin Writing Contest now! Good luck! Happy New Year, Hackers! Buckle up—we’re going to space 🚀🚀🚀 Spacecoin, a Decentralized Physical Infrastructure Network (DePIN) powered by satellites, has teamed up with HackerNoon to launch the Spacecoin Writing Contest . Spread across 3 rounds , the contest offers 15,000 USDT in prizes for up to 15 winners ! Spacecoin Writing Contest Spacecoin Writing Contest 3 rounds 15,000 USDT in prizes 15 winners Spacecoin’s mission addresses the centralized control governments and select multinationals have over internet infrastructure. By harnessing Low-Earth Orbit (LEO) satellites and blockchain technology, Spacecoin is focused on delivering decentralized, high-speed internet access to underserved regions, reducing risks such as single points of failure and even censorship. This Contest is an opportunity for writers, space geeks, and champions of decentralization to plug into Spacecoin’s mission— connecting purpose to blockchain infrastructure and bridging digital divides to bring affordable, borderless connectivity to billions —and win from a 15,000 USDT prize pool. connecting purpose to blockchain infrastructure and bridging digital divides to bring affordable, borderless connectivity to billions Enter the Spacecoin Writing Now! Enter the Spacecoin Writing Now! Enter the Spacecoin Writing Now! Enter the Spacecoin Writing Now! What to Write About in the Spacecoin Writing Contest Write an article under any of the contest tags below: #decentralized-internet #decentralized-internet What will a decentralized internet look like? What will a decentralized internet look like? Share your thoughts with this writing template or see full list of writing prompts for more #decentralized-internet story ideas. Share your thoughts with this writing template or see full list of writing prompts for more #decentralized-internet story ideas. writing template writing template writing prompts writing prompts #decentralized-internet #spacetech #spacetech How has science fiction influenced space exploration? How has science fiction influenced space exploration? How has science fiction influenced space exploration? Share your thoughts with this writing template or see full list of writing prompts for more #spacetech story ideas. Share your thoughts with this writing template or see full list of writing prompts for more #spacetech story ideas. writing template writing template writing prompts writing prompts #spacetech #blockchain-use-case #blockchain-use-case What’s an underrated real-world blockchain use case you’re excited about, and why? What’s an underrated real-world blockchain use case you’re excited about, and why? What’s an underrated real-world blockchain use case you’re excited about, and why? Share your thoughts with this writing template or see full list of writing prompts for more #blockchain-use-case story ideas. Share your thoughts with this writing template or see full list of writing prompts for more #blockchain-use-case story ideas. writing template writing template writing prompts writing prompts #blockchain-use-case Additionally, writers can submit stories under our sponsor tags: Additionally, writers can submit stories under our sponsor tags: #spacecoin #spacecoin Discuss Spacecoin’s mission to decentralize the internet. Discuss Spacecoin’s mission to decentralize the internet. Discuss Spacecoin’s mission to decentralize the internet. Share your thoughts with this writing template Share your thoughts with this writing template writing template writing template #creditcoin #creditcoin How Does Creditcoin Create Trust in On-Chain Lending Ecosystems? How Does Creditcoin Create Trust in On-Chain Lending Ecosystems? How Does Creditcoin Create Trust in On-Chain Lending Ecosystems? Share your thoughts with this writing template Share your thoughts with this writing template writing template writing template #gluwa #gluwa How does Gluwa facilitate global financial inclusion? How does Gluwa facilitate global financial inclusion? How does Gluwa facilitate global financial inclusion? Share your thoughts with this writing template Share your thoughts with this writing template writing template writing template Spacecoin Writing Contest Submission Windows Round 1: Jan 7, 2025 - Apr 7, 2025
Round 2: Apr 8, 2025 - Jul 7, 2025
Round 3: Jul 8, 2025 - Oct 7, 2025 Round 1: Jan 7, 2025 - Apr 7, 2025 Round 2: Apr 8, 2025 - Jul 7, 2025 Round 3: Jul 8, 2025 - Oct 7, 2025 Round 1: Jan 7, 2025 - Apr 7, 2025 Round 1: Jan 7, 2025 - Apr 7, 2025 Round 2: Apr 8, 2025 - Jul 7, 2025 Round 2: Apr 8, 2025 - Jul 7, 2025 Round 3: Jul 8, 2025 - Oct 7, 2025 Round 3: Jul 8, 2025 - Oct 7, 2025 Prize Breakdown Prize Breakdown Up to 15 writers will be awarded across 5 categories throughout the 9-month-long contest as follows: General Prizes  (3000 USDT awarded after each round)

Sponsor prizes (6000 USDT awarded after the final round)



#decentralized-internet - 1000 USDT for best story

#spacecoin - 2000 USDT for best story



#spacetech - 1000 USDT for best story | 500 USDT for runner up

#creditcoin - 2000 USDT for best story



#blockchain-use-case - 500 USDT for best story

#gluwa - 2000 USDT for best story Up to 15 writers will be awarded across 5 categories throughout the 9-month-long contest as follows: General Prizes  (3000 USDT awarded after each round)

Sponsor prizes (6000 USDT awarded after the final round)



#decentralized-internet - 1000 USDT for best story

#spacecoin - 2000 USDT for best story



#spacetech - 1000 USDT for best story | 500 USDT for runner up

#creditcoin - 2000 USDT for best story



#blockchain-use-case - 500 USDT for best story

#gluwa - 2000 USDT for best story General Prizes  (3000 USDT awarded after each round)

Sponsor prizes (6000 USDT awarded after the final round) #decentralized-internet - 1000 USDT for best story

#spacecoin - 2000 USDT for best story #spacetech - 1000 USDT for best story | 500 USDT for runner up

#creditcoin - 2000 USDT for best story #blockchain-use-case - 500 USDT for best story

#gluwa - 2000 USDT for best story General Prizes  (3000 USDT awarded after each round) Sponsor prizes (6000 USDT awarded after the final round) General Prizes  (3000 USDT awarded after each round) General Prizes  (3000 USDT awarded after each round) awarded after each round) Sponsor prizes (6000 USDT awarded after the final round) Sponsor prizes (6000 USDT awarded after the final round ) awarded after the final round #decentralized-internet - 1000 USDT for best story #spacecoin - 2000 USDT for best story #decentralized-internet - 1000 USDT for best story #decentralized-internet - 1000 USDT for best story #spacecoin - 2000 USDT for best story #spacecoin - 2000 USDT for best story #spacetech - 1000 USDT for best story | 500 USDT for runner up #creditcoin - 2000 USDT for best story #spacetech - 1000 USDT for best story | 500 USDT for runner up #spacetech - 1000 USDT for best story | 500 USDT for runner up #creditcoin - 2000 USDT for best story #creditcoin - 2000 USDT for best story #blockchain-use-case - 500 USDT for best story #gluwa - 2000 USDT for best story #blockchain-use-case - 500 USDT for best story #blockchain-use-case - 500 USDT for best story #gluwa - 2000 USDT for best story #gluwa - 2000 USDT for best story The Spacecoin Writing Contest: Guidelines The Spacecoin Writing Contest: Guidelines Must be 18+ to enter You can enter the contest by adding the appropriate tag to your story. (#spacetech, #decentralized-internet, #realworld-blockchain-usecase, #spacecoin, #creditcoin, #gluwa) Must create a HackerNoon account. No AI-generated content Must be 18+ to enter Must be 18+ to enter You can enter the contest by adding the appropriate tag to your story. (#spacetech, #decentralized-internet, #realworld-blockchain-usecase, #spacecoin, #creditcoin, #gluwa) You can enter the contest by adding the appropriate tag to your story. (#spacetech, #decentralized-internet, #realworld-blockchain-usecase, #spacecoin, #creditcoin, #gluwa) Must create a HackerNoon account. Must create a HackerNoon account . create a HackerNoon account create a HackerNoon account No AI-generated content No AI-generated content FAQs Can I Write Under a Pen Name? Yes! You can use your real name on your HN profile, a fake name, or even create a persona to write under. How Long Will the Contest Run? The contest consists of 3 rounds and will run for nine months. Round 1: Jan 7, 2025 - Apr 7, 2025 Round 2: Apr 8, 2025 - Jul 7, 2025 Round 3: Jul 8, 2025 - Oct 7, 2025 Round 1: Jan 7, 2025 - Apr 7, 2025 Round 1: Jan 7, 2025 - Apr 7, 2025 Round 2: Apr 8, 2025 - Jul 7, 2025 Round 2: Apr 8, 2025 - Jul 7, 2025 Round 3: Jul 8, 2025 - Oct 7, 2025 Round 3: Jul 8, 2025 - Oct 7, 2025 Can I submit more than one entry to the contest? Of course! Each story submission shall be considered a separate entry into the writing contest. How are the winners selected? At the end of each round, we’ll review submitted entries and shortlist the stories that receive the most eyeballs (real humans, not bots!). Next, the shortlisted stories will be voted on by HackerNoon and Spacecoin staff. The top #decentralized-internet, #spacetech, and #realworld-blockchain-usecase stories will be selected and announced. After the contest’s final round ends, we’ll announce the winners of the sponsor prizes along with 3 other categories. At the end of each round, we’ll review submitted entries and shortlist the stories that receive the most eyeballs (real humans, not bots!). Next, the shortlisted stories will be voted on by HackerNoon and Spacecoin staff. The top #decentralized-internet, #spacetech, and #realworld-blockchain-usecase stories will be selected and announced. After the contest’s final round ends, we’ll announce the winners of the sponsor prizes along with 3 other categories. Can I win more than one prize? Yes. Yes. Ready to Win Big? Ready to Win Big? Start a draft to enter the Spacecoin Writing Contest now! Start a draft to enter the Spacecoin Writing Contest now! Start a draft Good luck!

Win Your Share of 15,000 USDT in the Spacecoin Writing Contest by Spacecoin and HackerNoon

Wen jou deel van 15 000 USDT in die Spacecoin-skryfkompetisie deur Spacecoin en HackerNoon

በ Spacecoin እና HackerNoon በ Spacecoin የፅሁፍ ውድድር የ15,000 USDT ድርሻዎን ያሸንፉ።

اربح حصتك من 15000 USDT في مسابقة الكتابة Spacecoin التي تنظمها Spacecoin وHackerNoon

Spacecoin ukat HackerNoon ukanakan Spacecoin qillqañ atipt’äwinx 15.000 USDT ukjam qullqim atipt’añamawa

Spacecoin və HackerNoon tərəfindən Spacecoin Yazı Müsabiqəsində 15,000 USDT payınızı qazanın

Выйграйце сваю долю ў 15 000 USDT у конкурсе напісання Spacecoin ад Spacecoin і HackerNoon

Спечелете своя дял от 15 000 USDT в конкурса за писане на Spacecoin от Spacecoin и HackerNoon

Spacecoin এবং HackerNoon দ্বারা Spacecoin লেখার প্রতিযোগিতায় আপনার শেয়ার 15,000 USDT জিতে নিন

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در مسابقه نوشتن Spacecoin توسط Spacecoin و HackerNoon سهم خود را 15000 USDT برنده شوید.

Voita osuutesi 15 000 USDT:stä Spacecoinin ja HackerNoonin Spacecoin-kirjoituskilpailussa

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Gaña a túa parte de 15.000 USDT no concurso de redacción de Spacecoin de Spacecoin e HackerNoon

זכה בחלקך של 15,000 USDT בתחרות כתיבת Spacecoin של Spacecoin ו-HackerNoon

स्पेसकॉइन और हैकरनून द्वारा स्पेसकॉइन लेखन प्रतियोगिता में 15,000 USDT का अपना हिस्सा जीतें

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Nyerje meg a részesedését a 15 000 USDT-ból a Spacecoin és a HackerNoon Spacecoin íróversenyén

Հաղթեք ձեր մասնաբաժինը 15,000 USDT Spacecoin գրելու մրցույթում Spacecoin-ի և HackerNoon-ի կողմից

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Spacecoin と HackerNoon による Spacecoin ライティング コンテストで賞金 15,000 USDT を獲得しましょう

მოიგე შენი წილი 15000 USDT Spacecoin-ის წერის კონკურსში Spacecoin-ისა და HackerNoon-ის მიერ

Spacecoin және HackerNoon ұсынған Spacecoin жазу байқауында 15 000 USDT үлесіңізді ұтып алыңыз.

ឈ្នះចំណែករបស់អ្នកចំនួន 15,000 USDT នៅក្នុងការប្រកួតសរសេរ Spacecoin ដោយ Spacecoin និង HackerNoon

Spacecoin과 HackerNoon의 Spacecoin 글쓰기 대회에서 15,000 USDT를 차지하세요

Spacecoin жана HackerNoon тарабынан Spacecoin жазуу сынагында 15 000 USDT үлүшүңүздү утуп алыңыз

Kolonga eteni na yo ya 15.000 USDT na momekano ya kokoma ya Spacecoin na Spacecoin mpe HackerNoon

ຊະນະສ່ວນແບ່ງຂອງທ່ານ 15,000 USDT ໃນການແຂ່ງຂັນການຂຽນ Spacecoin ໂດຍ Spacecoin ແລະ HackerNoon

Laimėkite 15 000 USDT dalį „Spacecoin“ ir „HackerNoon“ rašymo konkurse „Spacecoin“

Laimējiet savu daļu no 15 000 USDT Spacecoin un HackerNoon rakstīšanas konkursā Spacecoin

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Освојте го вашиот удел од 15.000 USDT во натпреварот за пишување Spacecoin од Spacecoin и HackerNoon

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Menangi Bahagian Anda sebanyak 15,000 USDT dalam Peraduan Penulisan Spacecoin oleh Spacecoin dan HackerNoon

Spacecoin र HackerNoon द्वारा Spacecoin लेखन प्रतियोगितामा 15,000 USDT को आफ्नो शेयर जित्नुहोस्।

Win jouw deel van 15.000 USDT in de Spacecoin Writing Contest van Spacecoin en HackerNoon

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Spacecoin chaymanta HackerNoon kaqwan Spacecoin qillqay atipanakuypi 15.000 USDT qullqi qusqaykita ganay

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Vinn din del av 15 000 USDT i Spacecoin Writing Contest av Spacecoin och HackerNoon

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Spacecoin மற்றும் HackerNoon மூலம் Spacecoin எழுதும் போட்டியில் உங்கள் பங்கான 15,000 USDTஐ வெல்லுங்கள்

Дар Озмуни Навиштани Spacecoin аз ҷониби Spacecoin ва HackerNoon ҳиссаи худро дар ҳаҷми 15,000 USDT ғолиб кунед

ชิงรางวัลส่วนแบ่ง 15,000 USDT ในการประกวดเขียน Spacecoin โดย Spacecoin และ HackerNoon

ኣብ ውድድር ጽሕፈት ስፔስኮይን ብስፔስኮይንን ሃከርኑንን 15,000 USDT ብጽሒትኩም ተዓወቱ

“Spacecoin” we “HackerNoon” -yň “Spacecoin” ýazuw bäsleşiginde 15 000 ABŞ dollary paýyňyzy alyň

Manalo ng Iyong Bahagi ng 15,000 USDT sa Spacecoin Writing Contest ng Spacecoin at HackerNoon

Spacecoin ve HackerNoon'un Spacecoin Yazma Yarışmasında 15.000 USDT'lik Payınızı Kazanın

Hlula Xiphemu xa Wena xa 15,000 USDT eka Mphikizano wo Tsala wa Spacecoin hi Spacecoin na HackerNoon

Виграйте свою частку в 15 000 доларів США в конкурсі на написання Spacecoin від Spacecoin і HackerNoon

Spacecoin اور HackerNoon کی طرف سے Spacecoin تحریری مقابلہ میں اپنا حصہ 15,000 USDT جیتیں۔

Spacecoin va HackerNoon tomonidan Spacecoin yozish tanlovida 15 000 USDT ulushingizni yutib oling

Thắng giải thưởng trị giá 15.000 USDT trong Cuộc thi viết Spacecoin của Spacecoin và HackerNoon

Phumelela iSabelo sakho se-15,000 USDT kuKhuphiswano lokuBhala lwe-Spacecoin ngu-Spacecoin kunye ne-HackerNoon

在 Spacecoin 和 HackerNoon 举办的 Spacecoin 写作比赛中赢取 15,000 USDT 奖金

Wina Isabelo Sakho sika-15,000 USDT Emqhudelwaneni Wokubhala we-Spacecoin nge-Spacecoin kanye ne-HackerNoon

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