With overall RMBS supply down 60% year-on-year amid higher interest rates and lower mortgage origination, niche sectors have been garnering the attention of investors looking to put money to work. Some of the more prominent asset classes have seen even more precipitous falls. Prime jumbo volumes are 75% down, for example.

RTL securitization takes spotlight amid undersupply in US RMBS

SAN FRANCISCO, Oct. 16, 2023 /PRNewswire/ -- Kiavi, a leading provider of financing to residential real estate investors, today announced it closed an approximately $275 million securitization ...

Kiavi closes $275 million revolving securitization of residential transition loans

SAN FRANCISCO, Oct. 16, 2023 /PRNewswire/ -- Kiavi, a leading provider of financing to residential real estate investors, today announced it closed an approximately $275 million securitization of unrated residential transition loans ("RTLs"). This is the ...

Transaction demonstrates investor confidence in Kiavi and its track record of generating meaningful returns in the RTL asset class SAN FRANCISCO, Oct. 16, 2023 /PRNewswire/ -- Kiavi, a leading ...

French fashion brand Kiabi is the newest member of the U.S. Cotton Trust Protocol.

French Fashion Brand Kiabi Joins U.S. Cotton Trust Protocol

The US Cotton Trust Protocol's president, Gary Adams, expressed his delight with Kiabi's dedication.

Kiabi is now part of the exquisite US Cotton Trust Protocol

MEMPHIS - French fashion retailer Kiabi has become a member of the US Cotton Trust Protocol as part of its bid to ramp up its sustainable sourcing strategy.

Kiabi joins Us Cotton Trust Protocol

Over the past decade, Kiavi has harnessed the power of data and technology to provide 67,000 loans totaling more than $16.5 billion to 17,000+ residential real estate investors, creating a simpler ...

Kiavi Celebrates 10 Years of Lending to Residential Real Estate Investors

"In compiling this report, it's been truly gratifying to see the impact Kiavi has made on our valued customers and their communities across the country for the past decade," he added. In addition ...

Kiavi

kiavi

The 2020 #Noonies are here, and they are both much greener and much bigger than last year. Among the 2,000+ deserving humans nominated across 5 categories for over 200 award titles, we discovered from , who’s has been nominated for a 2020 #Noonie in the Vesa Kivinen the United Kingdom Future Heroes and Technology categories. Without further ado, we present to you, our big techy world, from the perspective of Vesa. 1. Which 2020 Noonie/s have you been nominated for? Best Web Monetized Digital Artist 2. Tell us a bit about yourself. Crypto artist, performer and keynote speaker VESA (b.1978) is best known for working with Bollywood actress Veena Malik in a world-changing collaboration, which was seen by around 300 million people through BBC World, The Independent, IBT, Times of India, VICE, etc. His innovative mixed media platform Artevo soft forked in 2017 to Art For Crypto, which is rapidly establishing new creative standards in the blockchain art space. He is booked for multiple events in 2020 already as a performer & keynote speaker in international top crypto events. He also writes about creativity on News BTC and is represented as a professional speaker by Speakers Forum. His art has been collected by international hedge funds, exchanges, CEO's and influencers. Among them are Charlie Lee, Tone Vays, Craig Wright, Niko De Jonghe, Bitcoin Ben, and Adam Williams. 3. Tell us about the things you make / write / manage / build. I create both digital and physical art, write about creativity in the tech space, do keynotes and performances relating to it all. 4. What are you most excited about right now? My gamified pyramid gallery on Crypto Voxels https://www.cryptovoxels.com/play?coords=SW@38E,138S 5. What are you worried about right now? The potential economic collapse, lack of accountability and general unraveling of society via various symptoms caused by the first mentioned problem. 6. What's the most useful advice you've ever given somebody? It takes a lot of work to become your real self but it's worth the pain. 7. How has the pandemic changed your life and/or career? I had many commissions and sales cancelled initially. 8. If we gave you $10 million to invest in one thing right now, where would you put it? Crypto and a platform I'm building. 9. What's an opinion you have that most people don't agree with? The monetary system is completely screwed up, as they don't understand how money is created in the first place. 10. Which apps can't you live without? The Adobe bundle 11. What are you currently learning? Further investigating ancient cultures and what was lost along the way to bring something useful from it to our constructive future. For much the same reasons Hacker Noon decided not to put good ideas behind pop-ups or paywalls — nor abuse your personal data to target you with creepy ads — we also decided that you don’t have to be a #thinkfluencer or have 50k followers on Twitter to earn the recognition that comes with a 2020 Noonie Nomination. Make somebody’s day and nominate them to be recognized in the internet’s most independent and community-driven awards: . NOONIES.TECH

"The Monetary System Is Completely Screwed Up", Interview with Vesa Kivinen

Textbooks Are All You Need: Conclusion and References

Questions that may be essential to AI regulation for now may include current and potential misuses, sources of those misuses, and why they are technically permissible. Broad AI regulations like those for energy, pharmaceuticals, and other sectors may apply in some form, but ultimately, AI regulation that may work would likely be technical. Physical laws can regulate digital products but would find limitations. There are several AI tools that misuses are possible from that may slip regulations. There are ways that some frontier AI models are self-regulating that may leave little room for adjustments from authorities. Even in the event of presenting models for safety evaluation before public release, frontier AI companies may have done some work, covering what they expect would be sought. How can AI regulation technically fight misuse? This includes the possibility to explore real-time multimodal misuses, across AI models. How is it possible to track and monitor some outputs of all AI tools that are available in a jurisdiction? California Senate has SB 1047 to regulate AI about "Giving companies more flexibility in how they meet their responsible development obligations while still holding them liable if irresponsible behavior leads to catastrophic harm. Allowing a state agency to change the compute threshold for a model to be covered under the bill starting in 2027, rather than keeping it fixed in statute at 10^26 flops. The requirement that the model cost at least $100 million to train cannot be changed. Requiring companies get third-party safety audits by 2028. Strengthen whistleblower protections. Requiring developers of such large “frontier” AI models to take basic precautions, such as pre-deployment safety testing, red-teaming, cybersecurity, safeguards to prevent the misuse of dangerous capabilities, and post-deployment monitoring. " The European Commission in AI Act enters into force, states that "On 1 August 2024, the European Artificial Intelligence Act (AI Act) enters into force. The Act aims to foster responsible artificial intelligence development and deployment in the EU. Proposed by the Commission in April 2021 and agreed by the European Parliament and the Council in December 2023, the AI Act addresses potential risks to citizens’ health, safety, and fundamental rights. It provides developers and deployers with clear requirements and obligations regarding specific uses of AI while reducing administrative and financial burdens for businesses. The AI Act introduces a uniform framework across all EU countries, based on a forward-looking definition of AI and a risk-based approach:" The problem with AI regulation is not that laws are not possible around it or that industry standards cannot be set. It is just that the ability to catch misuses on the go is better than regulation at the gate. Simply, it is vital to catch misuses, which in this case goes beyond the aerial view of frontier companies or start-ups but to tools, across usage sources, consistently. This will be like fighting digital piracy at any source it is available within a jurisdiction, not just on major platforms, or pointing to physical laws when digital evasion is knavish. There are research options like penalty-tuning and web scraping of available AI tools. Penalty-tuning could be a way to penalize LLMs, by compute, usage, or language, in a way that the model can know, if it outputs misinformation or deepfakes. Web scraping could be possible for AI tools that are available in search results so that some of the keywords around misuses can be tracked to expect them at their likely destinations, to prevent the harm they might cause. AI regulation is a problem of research first, then of laws. Exploring how to advance, technically, against misuses could guide what directions laws may take. There is a recent preprint on arXiv, Are Emergent Abilities in Large Language Models just In-Context Learning?, where the authors wrote, "We present a novel theory that explains emergent abilities, taking into account their potential confounding factors, and rigorously substantiate this theory through over 1000 experiments. Our findings suggest that purported emergent abilities are not truly emergent, but result from a combination of in-context learning, model memory, and linguistic knowledge. Our work is a foundational step in explaining language model performance, providing a template for their efficient use and clarifying the paradox of their ability to excel in some instances while faltering in others. Thus, we demonstrate that their capabilities should not be overestimated." AI is simply not an existential risk because of prediction-based LLMs. In the human mind, what is called prediction is a type of distribution or relay. LLMs have a substantial part of that, but they do not have what follows after [the incoming half of electrical signals, conceptually]. As AI gets better, with non-concept features and distributions similar to how relays within human memory result in human intelligence, they may pose higher levels of risks. Questions that may be essential to AI regulation for now may include current and potential misuses, sources of those misuses, and why they are technically permissible. Broad AI regulations like those for energy, pharmaceuticals, and other sectors may apply in some form, but ultimately, AI regulation that may work would likely be technical. Physical laws can regulate digital products but would find limitations. There are several AI tools that misuses are possible from that may slip regulations. There are ways that some frontier AI models are self-regulating that may leave little room for adjustments from authorities. Even in the event of presenting models for safety evaluation before public release, frontier AI companies may have done some work, covering what they expect would be sought. How can AI regulation technically fight misuse? This includes the possibility to explore real-time multimodal misuses, across AI models. How is it possible to track and monitor some outputs of all AI tools that are available in a jurisdiction? California Senate has SB 1047 to regulate AI about "Giving companies more flexibility in how they meet their responsible development obligations while still holding them liable if irresponsible behavior leads to catastrophic harm. Allowing a state agency to change the compute threshold for a model to be covered under the bill starting in 2027, rather than keeping it fixed in statute at 10^26 flops. The requirement that the model cost at least $100 million to train cannot be changed. Requiring companies get third-party safety audits by 2028. Strengthen whistleblower protections. Requiring developers of such large “frontier” AI models to take basic precautions, such as pre-deployment safety testing, red-teaming, cybersecurity, safeguards to prevent the misuse of dangerous capabilities, and post-deployment monitoring. " California Senate SB 1047 to regulate AI The European Commission in AI Act enters into force , states that "On 1 August 2024, the European Artificial Intelligence Act (AI Act) enters into force. The Act aims to foster responsible artificial intelligence development and deployment in the EU. Proposed by the Commission in April 2021 and agreed by the European Parliament and the Council in December 2023, the AI Act addresses potential risks to citizens’ health, safety, and fundamental rights. It provides developers and deployers with clear requirements and obligations regarding specific uses of AI while reducing administrative and financial burdens for businesses. The AI Act introduces a uniform framework across all EU countries, based on a forward-looking definition of AI and a risk-based approach:" European Commission in AI Act enters into force The problem with AI regulation is not that laws are not possible around it or that industry standards cannot be set. It is just that the ability to catch misuses on the go is better than regulation at the gate. Simply, it is vital to catch misuses, which in this case goes beyond the aerial view of frontier companies or start-ups but to tools, across usage sources, consistently. This will be like fighting digital piracy at any source it is available within a jurisdiction, not just on major platforms, or pointing to physical laws when digital evasion is knavish. There are research options like penalty-tuning and web scraping of available AI tools . Penalty-tuning could be a way to penalize LLMs, by compute, usage, or language, in a way that the model can know, if it outputs misinformation or deepfakes. penalty-tuning and web scraping of available AI tools Web scraping could be possible for AI tools that are available in search results so that some of the keywords around misuses can be tracked to expect them at their likely destinations, to prevent the harm they might cause. AI regulation is a problem of research first, then of laws. Exploring how to advance, technically, against misuses could guide what directions laws may take. There is a recent preprint on arXiv , Are Emergent Abilities in Large Language Models just In-Context Learning? , where the authors wrote, "We present a novel theory that explains emergent abilities, taking into account their potential confounding factors, and rigorously substantiate this theory through over 1000 experiments. Our findings suggest that purported emergent abilities are not truly emergent, but result from a combination of in-context learning, model memory, and linguistic knowledge. arXiv Are Emergent Abilities in Large Language Models just In-Context Learning? Our work is a foundational step in explaining language model performance, providing a template for their efficient use and clarifying the paradox of their ability to excel in some instances while faltering in others. Thus, we demonstrate that their capabilities should not be overestimated." AI is simply not an existential risk because of prediction-based LLMs. In the human mind , what is called prediction is a type of distribution or relay. LLMs have a substantial part of that, but they do not have what follows after [the incoming half of electrical signals, conceptually]. In the human mind LLMs have a substantial part of that, but they do not have what follows after As AI gets better, with non-concept features and distributions similar to how relays within human memory result in human intelligence , they may pose higher levels of risks. how relays within human memory result in human intelligence

California AI Safety|EU Regulation: LLMs Emergent Abilities and Existential Threat

NExT-GPT: Any-to-Any Multimodal LLM: Conclusion and References

As stress increasingly contributes to heart diseases and, consequently, mortality, well-being practices become more important. Massage is one of the most effective ones. However, not everyone across the world has access to it. How to address this gap and lower stress levels? The answer is obvious: create and use technologies. Human Death Factor According to the latest available data from the World Health Organization (WHO), the top two causes of mortality worldwide are stroke and ischemic heart disease. Moreover, the National Centre for Health Statistics of CDS (Centers for Disease and Prevention) which indicates the mortality index in the US confirms states that heart disease is the number one cause of death with about 700,000 cases per year. One of the general reasons for cardiovascular diseases and strokes is stress. The work of Andrew Steptoe and Mika Kivimäki, "Stress and Cardiovascular Disease," among others, confirms that, indicating that chronic stress predicts the occurrence of coronary heart disease (CHD). Moreover, short-term emotional stress can act as a trigger for cardiac events among those with advanced atherosclerosis. Among those at greater risk are people who experience work-related stress. This correlation is shown in the latest research by the Health and Safety Executive. According to this data, 875,000 workers suffered from work-related stress, depression, or anxiety (new or long-standing cases) in 2022 and 2023. Human Life Factor Fortunately, there are techniques to decrease stress levels. Breathing exercises, laughter, helpful thinking, mindfulness, and social activities, as mentioned in the Human Resources Datasheet of the University of Michigan, are among them. Additionally, the WHO recommends maintaining a daily routine, connecting with others, ensuring quality sleep, paying attention to nutrition, and engaging in regular physical exercise. Montana State University provides a more precise explanation of the biological mechanisms behind stress reduction through exercise and other wellness practices. They reduce adrenaline and cortisol, two stress hormones. To maintain cortisol within the norm, scholars advise monitoring caffeine and alcohol as both can increase cortisol. Time management and maintaining work-life balance can also contribute to mental well-being. Body treatments and massages also play a role as anti-stress techniques. This is confirmed in the case study "Physiological Adjustments to Stress Measures Following Massage Therapy: A Review of the Literature" by Albert Moraska and his partners from various health institutions across the US. A study by the Touch Research Institutes at the University of Miami School of Medicine further reveals that massages can reduce cortisol by an average of 31% in a single session. It also improves sleep quality and lowers heart rate and blood pressure, thereby mitigating risks associated with cardiovascular disease. Massage to Masses However, not everyone can access body therapy and massage. Common barriers include a lack of available or efficient massage therapists and their limited working hours. This means that when you need a session after long hours at work, you may have to wait until a suitable hour. Costs also play a role, with one session averaging up to $100. It's not surprising that human performance comes at a high price in today's world. Imagine going to a theater with only one visitor - you. It would be expensive. However, when you're among many, economic dynamics allow services to be more accessible and affordable. Technologies offer a liberating solution. They have already changed numerous industries. Consider the field of education: digital platforms enable students from around the globe to participate in the same programs for much less money than traditional institutions offer. You can now access information from Cambridge in your hometown while having a bath. In the realm of body therapy and massage, we see a similar shift. While tech solutions may not entirely replace massage specialists they can help bridge existing gaps in labor and lower therapy costs in the future. Some solutions transform Tui Na, a form of traditional Chinese medicine bodywork similar to deep tissue massage. They use sensors to pinpoint pressure points and deliver customized massages. Other devices available on the market are designed for home use with various attachments for different massage experiences. The success of robotic solutions is foreseeable, given the widespread use of robotic and AI-driven technologies in healthcare. In 2022, the global artificial intelligence in the healthcare market reached around $15.1 billion, with projections expecting a surge to approximately $187.95 billion by 2030, boasting an impressive growth rate of 37% from 2022 to 2030. North America’s AI in the healthcare market alone reached $6.8 billion in 2022. The market for AI in robotics is expected to grow even faster, with a projected compound annual growth rate (CAGR) of 27.2% over the next five years. As stress increasingly contributes to heart diseases and, consequently, mortality, well-being practices become more important. Massage is one of the most effective ones. However, not everyone across the world has access to it. How to address this gap and lower stress levels? The answer is obvious: create and use technologies. Human Death Factor Human Death Factor According to the latest available data from the World Health Organization (WHO), the top two causes of mortality worldwide are stroke and ischemic heart disease. Moreover, the National Centre for Health Statistics of CDS (Centers for Disease and Prevention) which indicates the mortality index in the US confirms states that heart disease is the number one cause of death with about 700,000 cases per year. data data confirms confirms One of the general reasons for cardiovascular diseases and strokes is stress. The work of Andrew Steptoe and Mika Kivimäki, "Stress and Cardiovascular Disease," among others, confirms that, indicating that chronic stress predicts the occurrence of coronary heart disease (CHD). Moreover, short-term emotional stress can act as a trigger for cardiac events among those with advanced atherosclerosis. confirms confirms Among those at greater risk are people who experience work-related stress. This correlation is shown in the latest research by the Health and Safety Executive. According to this data, 875,000 workers suffered from work-related stress, depression, or anxiety (new or long-standing cases) in 2022 and 2023. shown shown Human Life Factor Human Life Factor Fortunately, there are techniques to decrease stress levels. Breathing exercises, laughter, helpful thinking, mindfulness, and social activities, as mentioned in the Human Resources Datasheet of the University of Michigan, are among them. Additionally, the WHO recommends maintaining a daily routine, connecting with others, ensuring quality sleep, paying attention to nutrition, and engaging in regular physical exercise. mentioned mentioned Montana State University provides a more precise explanation of the biological mechanisms behind stress reduction through exercise and other wellness practices. They reduce adrenaline and cortisol, two stress hormones. To maintain cortisol within the norm, scholars advise monitoring caffeine and alcohol as both can increase cortisol. Time management and maintaining work-life balance can also contribute to mental well-being. provides provides caffeine caffeine alcohol alcohol Body treatments and massages also play a role as anti-stress techniques. This is confirmed in the case study "Physiological Adjustments to Stress Measures Following Massage Therapy: A Review of the Literature" by Albert Moraska and his partners from various health institutions across the US. A study by the Touch Research Institutes at the University of Miami School of Medicine further reveals that massages can reduce cortisol by an average of 31% in a single session. It also improves sleep quality and lowers heart rate and blood pressure, thereby mitigating risks associated with cardiovascular disease. confirmed confirmed study study improves improves lowers lowers Massage to Masses Massage to Masses However, not everyone can access body therapy and massage. Common barriers include a lack of available or efficient massage therapists and their limited working hours. This means that when you need a session after long hours at work, you may have to wait until a suitable hour. Costs also play a role, with one session averaging up to $100. It's not surprising that human performance comes at a high price in today's world. Imagine going to a theater with only one visitor - you. It would be expensive. However, when you're among many, economic dynamics allow services to be more accessible and affordable. averaging averaging Technologies offer a liberating solution. They have already changed numerous industries. Consider the field of education: digital platforms enable students from around the globe to participate in the same programs for much less money than traditional institutions offer. You can now access information from Cambridge in your hometown while having a bath. In the realm of body therapy and massage, we see a similar shift. While tech solutions may not entirely replace massage specialists they can help bridge existing gaps in labor and lower therapy costs in the future. Some solutions transform Tui Na, a form of traditional Chinese medicine bodywork similar to deep tissue massage. They use sensors to pinpoint pressure points and deliver customized massages. Other devices available on the market are designed for home use with various attachments for different massage experiences. The success of robotic solutions is foreseeable, given the widespread use of robotic and AI-driven technologies in healthcare. In 2022, the global artificial intelligence in the healthcare market reached around $15.1 billion, with projections expecting a surge to approximately $187.95 billion by 2030, boasting an impressive growth rate of 37% from 2022 to 2030. North America’s AI in the healthcare market alone reached $6.8 billion in 2022. The market for AI in robotics is expected to grow even faster, with a projected compound annual growth rate (CAGR) of 27.2% over the next five years. surge surge projected projected

How Technology Can Make Stress-Relief More Accessible in the Near Future

Microarchitectural Security of AWS Firecracker VMM: Conclusion, Acknowledgments, and References

AWS ফায়ারক্র্যাকার VMM এর মাইক্রোআর্কিটেকচারাল নিরাপত্তা: উপসংহার, স্বীকৃতি এবং রেফারেন্স

Mikroarchitektonische Sicherheit von AWS Firecracker VMM: Fazit, Danksagungen und Referenzen

Seguridad microarquitectónica de AWS Firecracker VMM: conclusión, reconocimientos y referencias

Sécurité microarchitecturale d'AWS Firecracker VMM : conclusion, remerciements et références

AWS फायरक्रैकर VMM की माइक्रोआर्किटेक्चरल सुरक्षा: निष्कर्ष, आभार और संदर्भ

AWS Firecracker VMM のマイクロアーキテクチャセキュリティ: 結論、謝辞、参考文献

AWS Firecracker VMM의 마이크로아키텍처 보안: 결론, 승인 및 참조

Segurança microarquitetônica do AWS Firecracker VMM: conclusão, agradecimentos e referências

Микроархитектурная безопасность AWS Firecracker VMM: заключение, благодарности и ссылки

AWS Firecracker VMM'nin Mikro Mimari Güvenliği: Sonuç, Teşekkür ve Referanslar

Bảo mật vi kiến trúc của AWS Firecracker VMM: Kết luận, Lời cảm ơn và Tài liệu tham khảo

AWS Firecracker VMM 的微架构安全性：结论、致谢和参考文献

Scene Graphs & WikiData in Meme Analysis: Advancing Hate Speech Detection

PIECHAIN Demo: Exploring a Practical Blockchain Interoperability Framework

পাইচেন ডেমো: একটি ব্যবহারিক ব্লকচেইন ইন্টারঅপারেবিলিটি ফ্রেমওয়ার্ক অন্বেষণ করা

PIECHAIN-Demo: Erkundung eines praktischen Blockchain-Interoperabilitätsrahmens

Demostración de PIECHAIN: Explorando un marco práctico de interoperabilidad de Blockchain

Démo PIECHAIN : Explorer un cadre pratique d'interopérabilité de la blockchain

PIECHAIN डेमो: एक व्यावहारिक ब्लॉकचेन इंटरऑपरेबिलिटी फ्रेमवर्क की खोज

PIECHAIN デモ: 実用的なブロックチェーン相互運用性フレームワークの探究

PIECHAIN 데모: 실용적인 블록체인 상호 운용성 프레임워크 탐색

Demonstração PIECHAIN: Explorando uma estrutura prática de interoperabilidade Blockchain

Демонстрация PIECHAIN: изучение практической структуры взаимодействия блокчейнов

PIECHAIN Demosu: Pratik Bir Blockchain Birlikte Çalışabilirlik Çerçevesini Keşfetmek

Bản trình diễn PIECHAIN: Khám phá Khung tương tác Blockchain thực tế

PIECHAIN 演示：探索实用的区块链互操作性框架

This paper is available on arxiv under CC 4.0 license. Authors: (1) Ayei E. Ibor, Trustworthy Digital Infrastructure for Identity Systems, The Alan Turing Institute, United Kingdom; (2) Mark Hooper, Trustworthy Digital Infrastructure for Identity Systems, The Alan Turing Institute, United Kingdom; (3) Carsten Maple, Trustworthy Digital Infrastructure for Identity Systems, The Alan Turing Institute, United Kingdom; (4) Gregory Epiphaniou, WMG, University of Warwick, United Kingdom. Table of Links Abstract & Introduction Background Review of Literature Methodology Discussion of Findings Conclusion and Future Work & References 6. Conclusion and Future Work Trustworthy interoperability is a key enabler for identity management and widens the dimensions of e-government in developing countries. This research provided insights into the challenges, opportunities, and requirements of interoperability and highlighted the limitations of current interoperability solutions such as the Estonian X-Road and the eIDAS of the European Union. We found that each existing interoperability solution has its benefits and drawbacks, although both are targeted at a common goal. To achieve seamless communication of identification data, we proposed an approach for scoping requirements by first identifying the key processes to identity management in an interoperability context. Furthermore, we addressed the limitations of the current solutions using an architecture that considers the flexibility of identity verification and validation through an interoperable layer that is based on four interacting layers of data representation, semantics, binding, and security and privacy. For future work, an analysis of country-specific use cases for achieving interoperability in the African identity ecosystem will be performed. References African Union, 2020. The Digital Transformation Strategy for Africa (2020-30), Available at https://openresearch-repository.anu.edu.au/bitstream/1885/278587/1/GhaEcon_24.pdf, Accessed 20 May 2023. Alamillo, I., Mouille, S., Rock, A., Soumelidis, N., Tabor, M., Gorniak, S., 2023. Digital identity standards: Analysis of standardisation requirements in support of cybersecurity policy, Available at file:///C:/Users/aIbor/Downloads/Digital_Identity_Standards%20(1).pdf, Accessed 30 July 2023. Aldosary, M. and Alqahtani, N., 2021. A Survey on Federated Identity Management Systems Limitation and Solutions. International Journal of Network Security & Its Applications (IJNSA) Vol, 13. ANSSI, 2023. The EIDAS Regulation, Available at https://www.ssi.gouv.fr/en/regulation/digital-confidence/the-eidas-regulation/, Accessed 09 April 2023. Atick, J., 2016. Digital identity: the essential guide. In ID4Africa Identity Forum (Vol. 2016, pp. 1-3). Backhouse, J. and Halperin, R., 2009. Approaching interoperability for identity management systems. In The Future of Identity in the Information Society (pp. 245-268). Berlin, Heidelberg: Springer Berlin Heidelberg. Bakhtina, M., Matulevičius, R., Awad, A. and Kivimäki, P., 2022. Rebooting Trust Management in X-Road, Public Report. Nordic Institute for Interoperability Solutions (NIIS). Bhattarai, R., Pappel, I., Vainsalu, H., Yahia, S.B. and Draheim, D., 2019. The impact of the single digital gateway regulation from the citizens’ perspective. Procedia Computer Science, 164, pp.159-167. Bandura, R. and Ramanujam, S.R., 2021. Developing inclusive digital payment systems. Center for Strategic and International Studies, 21. Benaddi, H., Laaz, N., Bouhlal, A. and El Kettani, E., 2023. Data storage architecture for egovernment interoperability: Morocco case. 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Trustworthy Interoperability and Identity Management Systems: What Comes Next

From One-Shot Signatures and Quantum Money to Direct Democracy and a Post-Capitalist World Quantum cryptography represents a frontier of technological innovation, with recent years witnessing groundbreaking advancements such as the introduction of one-shot signatures. This quantum cryptographic breakthrough holds immense promise for redefining security and trust in digital communications, particularly within societies aspiring toward post-capitalist ideals and direct democratic governance. The Evolution of One-Shot Signatures The concept of one-shot signatures emerged from quantum computing research, offering a novel approach to digital signature protocols. Traditional digital signatures, while a cornerstone of online security, suffer from the potential for reuse or exploitation. In contrast, one-shot signatures can only be used once, rendering them void for subsequent transactions. This unique characteristic, stemming from quantum mechanics principles, greatly enhances security for digital communications and transactions. The innovation around one-shot signatures is detailed in research by Amos, Georgiou, Kiayias, and Zhandry, presented at the Symposium on Theory of Computing (STOC) 2020. Their work, " " provides a foundational understanding of how quantum principles can be applied to create unforgeable digital signatures, a crucial advancement for securing digital transactions in any future societal framework. One-Shot Signatures and Applications to Hybrid Quantum/Classical Authentication, Quantum Computing: From Blockchain Adversary to Ally Historically, the ascent of quantum computing was viewed with apprehension within blockchain communities. The prevailing concern was that quantum computers' capabilities would eventually decrypt the cryptographic underpinnings of blockchain technology, exposing these networks to potential security breaches. This anxiety was not unfounded; blockchain encryption, reliant on classical computational complexity, appeared vulnerable to quantum algorithms designed to solve such problems in drastically reduced times. This narrative began to shift as research into quantum-resistant cryptographic algorithms gained momentum. Papers like " " by Bernstein and Lange, which discuss strategies for developing cryptography that can withstand quantum attacks, have been instrumental in reassessing the relationship between quantum computing and blockchain. Post-Quantum Cryptography Rather than viewing quantum computing as an existential threat, these works propose a paradigm where quantum advancements bolster blockchain security, offering solutions that classical computing cannot. The Revolutionary Potential of Quantum Money Quantum money, a concept predating blockchain, was first proposed by Stephen Wiesner in the early 1970s under the term " " Wiesner's idea utilized the no-cloning theorem of quantum mechanics — which states that it is impossible to create an identical copy of an arbitrary unknown quantum state, ensuring the uniqueness and security of quantum information — to create money that is physically impossible to counterfeit. Quantum Money. This principle was revolutionary, suggesting a form of currency with intrinsic security features enabled by the laws of physics rather than through cryptographic complexity alone. Post-Capitalist Critique of Quantum Money While the concept of quantum money offers intriguing possibilities for secure transactions, a post-capitalist critique raises fundamental questions about its implementation and societal impact. Quantum money, in its traditional conception, still operates within a framework of scarcity and accumulation, potentially replicating existing economic inequalities under a new guise. The critique argues that without addressing the underlying economic structures and power dynamics, quantum money could merely perpetuate the status quo, albeit with a more secure means of exchange. A more radical reimagining involves the concept of quantum tokens, as discussed previously. This approach envisions a system where remuneration is directly tied to the labor performed, factoring in intensity, conditions, and societal value. Such a model challenges the capitalist paradigm by prioritizing equitable distribution and recognizing all forms of labor. However, implementing this system requires careful consideration of value assessment, ensuring it truly reflects a shift towards egalitarian principles. Quantum Voting: Enabling Direct Democracy Quantum cryptography also offers potential innovations in governance through quantum voting. By leveraging the security properties of quantum information, it's possible to create a voting system that is both anonymous and impossible to tamper with. This technology could facilitate direct democratic processes, eliminating the need for intermediaries and making political representation more immediate and transparent. Looking Ahead: The Quantum Future The transition to a society that fully leverages quantum cryptographic technologies, including one-shot signatures, quantum money, and quantum voting, is still decades away. Yet, the imperative for post-capitalist thinkers and activists to engage with these technologies now is clear. As pro-capitalist entities begin to incorporate these advancements, the left must not be sidelined. Engaging critically with quantum technologies ensures they are used to foster a more equitable, democratic, and secure world. The journey toward a post-capitalist future, underpinned by quantum technological innovations, is fraught with challenges and opportunities. As research progresses, the left must remain vigilant, ensuring that these powerful tools are wielded in service of societal transformation, rather than reinforcing existing inequalities. The promise of quantum cryptography is not just in its technical prowess but in its potential to reimagine the foundations of economic and political systems for the better. Also published here

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