HAMPTON, Va. (WAVY) — “Call before you dig.” You know the reminder — state law requires that utility lines be professionally marked before breaking ground. But one small business owner said she waited two weeks for a locator to come out — and it’s bankrupting her business.

Business owner files wait-time complaint against Virginia Natural Gas

ATLANTA (AP) — Leaders of Georgia’s Fulton County testified Friday before a special state Senate committee that they had no legal power to control District Attorney Fani Willis’ spendin…

Fulton County officials say by law they don’t control Fani Willis’ spending in Trump case

The city of Norfolk is one of the 10 communities being awarded a grant to assist in tourism programs, Gov. Glenn Youngkin announced Friday.

Norfolk receives grant to assist in tourism and outdoor recreation | WAVY.com

JACKSON, Miss. (AP) — Mississippi’s Republican-led Legislature completed a last-ditch effort Thursday to revive a bill to regulate transgender people’s use of bathrooms, locker rooms and dormitorie…

Mississippi Republicans revive bill to regulate transgender bathroom use in schools – WAVY.com

SAN FRANCISCO (AP) — Comcast has blacked out 15 regional sports networks offered by Bally Sports, escalating a contract dispute with their distributor. The cutoff affects games played by a dozen Ma…

Comcast blacks out 15 regional sports networks in contract dispute with distributor – WAVY.com

OMAHA, Neb. (AP) — Everyone knows Warren Buffett ‘s successor won’t be able to match the legendary investor, but Berkshire Hathaway ‘s board remains confident Greg Abel is the rig…

Berkshire Hathaway board feels sure Greg Abel is the man to eventually replace Warren Buffett – WAVY.com

VIRGINIA BEACH, Va. (WAVY) — The folks at Virginia Beach company Drone Up are hoping to change the way you live for the better. “We’ll get you what you need, when you need it,” said Drone Up CEO John Walker. Drone Up was started in 2016 and has been growing ever since. Mayor Bobby Dyer […]

VB company demonstrates drone delivery | WAVY.com

JAKARTA, Indonesia (AP) — Indonesia’s top court began hearing appeals Wednesday against the presidential election results lodged by two losing candidates who allege widespread irregularities and fr…

Indonesia’s top court begins hearing election appeals of 2 losing candidates alleging fraud

Starbucks will be the first national coffee chain to accommodate reusable cups for customers' drive-thru and mobile orders starting January 3, 2024.

Starbucks allowing customers to use reusable cups for drive-thru, mobile orders | WAVY.com

TEL AVIV, Israel (AP) — In the wake of Hamas’ brutal Oct. 7 attack, Prime Minister Benjamin Netanyahu’s days in office seemed numbered. Despite his reputation as the ultimate political survivor, th…

After tumbling in polls, Netanyahu clings to power and aims to improve political standing during war – WAVY.com

Weavy

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The TechBeat: Backing Up Weaviate with MinIO S3 Buckets to Achieve Strategic Enhancement to Data Management (4/13/2024)

The TechBeat: Backing Up Weaviate with MinIO S3 Buckets to Achieve Strategic Enhancement to Data Management (4/11/2024)

Backing Up Weaviate with MinIO S3 Buckets to Achieve Strategic Enhancement to Data Management

ডাটা ম্যানেজমেন্টে কৌশলগত বর্ধন অর্জনের জন্য MinIO S3 বাকেটের সাহায্যে ওয়েভিয়েট ব্যাক আপ করা হচ্ছে

Sichern von Weaviate mit MinIO S3-Buckets zur strategischen Verbesserung des Datenmanagements

Realizar una copia de seguridad de Weaviate con MinIO S3 Buckets para lograr una mejora estratégica en la gestión de datos

Sauvegarde de Weaviate avec les buckets MinIO S3 pour obtenir une amélioration stratégique de la gestion des données

डेटा प्रबंधन में रणनीतिक वृद्धि हासिल करने के लिए मिनियो एस3 बकेट के साथ वेविएट का बैकअप लेना

MinIO S3 バケットを使用して Weaviate をバックアップし、データ管理の戦略的な強化を実現

데이터 관리의 전략적 향상을 위해 MinIO S3 버킷으로 Weaviate 백업

Fazendo backup do Weaviate com buckets MinIO S3 para obter aprimoramento estratégico no gerenciamento de dados

Резервное копирование Weaviate с помощью сегментов MinIO S3 для достижения стратегического улучшения управления данными

Veri Yönetiminde Stratejik İyileştirme Sağlamak için Weaviate'i MinIO S3 Kovalarıyla Yedekleme

Sao lưu Weaviate bằng nhóm MinIO S3 để đạt được cải tiến chiến lược trong quản lý dữ liệu

使用 MinIO S3 Buckets 备份 Weaviate，实现数据管理的战略增强

Scientific American, Volume XLIII., No. 25, December 18, 1880, by Various, is part of the HackerNoon Books Series. You can jump to any chapter in this book . GLASS SPINNING AND WEAVING. here GLASS SPINNING AND WEAVING Quite recently a Pittsburg glass firm has succeeded, to a notable degree, in producing glass threads of sufficient fineness and elasticity to permit of their being woven into fabrics of novel character and quality. Their success is such as to warrant the assumption that garments of pure glass, glistening and imperishable, are among the possibilities of the near future. The spinning of glass threads of extreme fineness is not a new process, but, as carried on at present by the firm in question—Messrs. Atterbury & Co.—possesses considerable interest. From a quality of glass similar to that from which table ware is made, rods of glass averaging half an inch in diameter are drawn to any desired length and of various colors. These rods are then so placed that the flame of two gas burners is blown against that end of the rod pointed toward the large "spinning" wheel. The latter is 81/2 feet in diameter, and turns at the rate of 300 revolutions per minute. The flames, having played upon the end of the glass cylinder until a melting heat is attained, a thread of glass is drawn from the rod and affixed to the periphery of the wheel, whose face is about 12 inches wide. Motion is then communicated, and the crystal thread is drawn from between the gas jets and wrapped upon the wheel at the rate of about 7,500 feet per minute. A higher speed results in a finer filament of glass, and vice versa. During its passage from the flame to the wheel, a distance of five or six feet, the thread has become cooled, and yet its elasticity is preserved to a notable degree. The next step in the process consists in the removal of the layers of threads from the wheel. This is easily accomplished, and after being cut to the desired lengths, the filaments are woven in a loom somewhat similar to that used in weaving silken goods. Until within the past few weeks only the woof of the fabric was of glass, but at present both warp and woof are in crystal. Samples of this cloth have been forwarded to New York and to Chicago, and the manufacturers claim to be able to duplicate in colors, texture, etc., any garments sent them. A tablecloth of glass recently completed shines with a satiny, opalescent luster by day, and under gaslight shows remarkable beauty. Imitation plumes, in opal, ruby, pale green, and other hues, are also constructed of these threads, and are wonderfully pretty. The chief obstacle yet to surmount seems to lie in the manipulation of these threads, which are so fine that a bunch containing 250 is not so thick as an average sized knitting needle, and which do not possess the tractability of threads of silk or cotton. [The foregoing information is furnished by a correspondent in Pittsburg. A sample of the goods mentioned, a tablecloth of glass, is now on exhibition in this city. The weaving of such heavy fabrics of glass for ornamental purposes and for curiosities is no new thing; nor, in our estimation, does comparative success in such experiments warrant the enthusiastic claims of the Pittsburg manufacturers touching the adaptability of glass for wearing apparel. Unless it is in their power to change the nature of glass absolutely and radically, it does not seem possible for them so to overcome the ultimate brittleness of the separate fibers as to make the fabric fit to be brought in contact with the skin. The woven stuff may be relatively tough and flexible; but unless the entire fabric can be made of one unbreakable fiber the touch of the free ends, be they never so fine, must be anything but pleasant or beneficial, if one can judge by the finest filaments of glass spun hitherto. Besides, in weaving and wearing the goods, a certain amount of fiber dust must be produced as in the case of all other textile material. When the softest of vegetable fibers are employed the air charged with their fragments is hurtful to the lungs; still more injurious must be the spiculæ of spun glass. However, although the manufacturers are likely to be disappointed in their expectation of finding in glass a cheap and available substitute for linen, cotton, and silk in dress goods, it is quite possible that a wide range of useful application may be found for their new fabric.] About HackerNoon Book Series: We bring you the most important technical, scientific, and insightful public domain books. This book is part of the public domain. Various (2007). Scientific American, Volume XLIII., No. 25, December 18, 1880. Urbana, Illinois: Project Gutenberg. Retrieved https://www.gutenberg.org/cache/epub/21081/pg21081-images.html This eBook is for the use of anyone anywhere at no cost and with almost no restrictions whatsoever. You may copy it, give it away or re-use it under the terms of the Project Gutenberg License included with this eBook or online at , located at . www.gutenberg.org https://www.gutenberg.org/policy/license.html

GLASS SPINNING AND WEAVING

From OpenAI to Closed AI: Custom Chips Are Closing The Doors—What’s Next? 

Ад OpenAI да закрытага AI: Карыстальніцкія мікрасхемы зачыняюць дзверы - што далей? 

De l'OpenAI a la IA tancada: els xips personalitzats estan tancant les portes: què passa? 

Von OpenAI zu Closed AI: Kundenspezifische Chips schließen die Türen – was kommt als Nächstes?

Από το OpenAI στο Closed AI: Τα προσαρμοσμένα τσιπ κλείνουν τις πόρτες—Τι ακολουθεί; 

De la IA abierta a la IA cerrada: los chips personalizados están cerrando las puertas. ¿Qué sigue?

Az OpenAI-tól a zárt mesterséges intelligenciaig: Az egyedi chipek bezárják az ajtókat – mi a következő lépés? 

Dari OpenAI ke AI Tertutup: Chip Kustom Menutup Pintu—Apa Selanjutnya?

OpenAI からクローズド AI へ: カスタム チップが扉を閉ざす — 次は何が起こるのか?

Kobanda na OpenAI tii na AI oyo ekangami: Ba puces personnalisées ezali kokanga ba portes —What’s Next? 

له OpenAI څخه تړل شوي AI ته: دودیز چپس دروازې بندوي — بیا څه دي؟ 

От открытого ИИ к закрытому ИИ: кастомные чипы закрывают двери — что дальше?

Від відкритого штучного інтелекту до закритого штучного інтелекту: спеціальні мікросхеми закривають двері — що далі? 

The Generative AI industry has exploded, thanks to no small part to the release of ChatGPT in the fall of 2022, which took the world by storm. There has been a lot of hand-wrangling on the importance of model safety and data security, with the possibility of further AI regulations. As per IBM, around 70% of their survey respondents say that innovation is more important than security, which contrasts with 82% of the respondents accepting that security in AI is essential to their business. Unsurprisingly, only 24% of the projects polled in the IBM survey have components meant to secure the initiative. Security is not an add-on to thoroughly flushed-out Generative AI infrastructure. It should be weaved in and through the entire infrastructure rather than slapped on top of it to pass regulations and compliance. The immense power of Generative AI brings with it vast responsibilities. This article aims to convince readers of the importance of security in AI and provide them with the knowledge and talking points to become security champions in their organizations. Objective The objective of GenAI security should be to secure the entire infrastructure from end to end. As security champions, we must secure data ingestion infrastructure, ensuring data legitimacy, data manipulation operations, model deployment, and user interactions. For the last year, people have been complaining about the degrading quality of answers provided by ChatGPT, whereas OpenAI has refuted such claims. While it is true that the quality of responses can deteriorate over time, it is entirely possible that an internally deployed model can be modified in an unauthorized manner by bad actors. Such responses can be indistinguishable from the typical quality degradation we expect. It goes without saying that customer data, which consists of their prompt history and responses, should be considered critical data, and we need to examine any risks that might seriously compromise users' trust. While the conversations are between a human and a machine, the personal nature of such discussions should be treated just like human-to-human conversations and secured as such. Risks There is no limit to the kind of risks one has to deal with when working on GenAI infrastructure. While we are looking into the typical security best practices from traditional security paradigms, there are AI-specific steps we need to take to ensure that we achieve a reasonable security posture. Data Poisoning: We have heard the old adage of garbage-in-garbage-out. If malicious actors manage to introduce malicious data into the corpus, the responses might not be what we expect. Imagine your company analyzes data and signals intelligence for your customers. If the data was poisoned by modification, deletion, or addition, then the results are going to be far from accurate. In fact, properly crafted training data can lead to wrong responses from the AI model. Model Manipulation: While this sounds far-fetched, the National Institute of Standards and Technology has outlined how different types of cyberattacks manipulate the behavior of AI systems, focusing on evasion and privacy attacks. Model manipulation is closely tied to data poisoning; in practice, it’s hard to differentiate one from the other. Prompt Injection Attacks: This attack vector is unique to Generation AI and is not in traditional cybersecurity practices. While a lot of research has gone into understanding the reasoning pathway of the models, for all practical purposes, they do remain a black box. Attackers can bypass safety controls by specially crafting input prompts, which lead to unauthorized responses. These responses can contain confidential information or reveal some inner workings in the worst case. These attacks work because they exploit the very nature of Generative AI models, which deal with understanding natural languages. Supply Chain Attacks: Generative AI is nascent and involves integrating various software components, sometimes with little regard to security, to beat the competitors in the field of innovation. Each third-party library or component introduces another point of attack. Even malicious or modified data can fit under the umbrella of supply chain attacks. Refer to Open Worldwide Application Security Project (OWASP) LLM05: Supply Chain Vulnerabilities for more information. Approaches There isn’t a single way to handle security in the Generative AI space. Any attempts at creating a formal process run afoul of the dreaded checklist-based security compliance processes. At its core, security is not about processes and technology but a mindset and the culture that promotes it. Fundamentally, to secure Generative AI infrastructure, one needs a secure-by-design architecture. This might include, but is not limited to, access control, the least privilege model, encryption at rest and transit, and threat/anomaly detection systems. The architecture keeps evolving based on new research and changing business needs. Changes to architecture can increase the attack surface. To avoid this, there should be some form of operational review and annual security overview. One needs to have a culture where people are proactive about reviewing the changes and bold enough to discuss the possible threats. Supply chain threats are more complex to prevent, but digitally signing all components and pieces and validation before deployment can be a good start. A little more involved process may be using Software Bill of Materials tracking, which is recommended by the Cybersecurity and Infrastructure Security Agency (CISA) Conclusion The job of a CISO is becoming increasingly complex and involved. Apart from the increased DDoS attacks as reported by Cloudflare, which is 20% year-over-year, the addition of Generative AI to the broader organization infrastructure adds more moving parts to an already complex setup. While moving ahead with innovation and sidelining security might look tempting at first, it is equivalent to playing with fire. One wrong move can result in disastrous results, whether lost customer trust, personal data leak, or government-imposed penalties. An individual must be someone other than a CISO to push for a culture shift. Often, executives rely on people reporting to them to give them advice, which in turn is asked down the reporting chain. If Engineers or program Managers can make themselves security champions, they have a high chance of shining and access to opportunities for bigger responsibilities and a career boost. The future of Generative AI hinges on our ability and willingness to secure it. Organizations that recognize this fact and act proactively will be best positioned to thrive and overcome dangers and regulatory hurdles. The Generative AI industry has exploded, thanks to no small part to the release of ChatGPT in the fall of 2022, which took the world by storm. There has been a lot of hand-wrangling on the importance of model safety and data security, with the possibility of further AI regulations . further AI regulations further AI regulations As per IBM, around 70% of their survey respondents say that innovation is more important than security, which contrasts with 82% of the respondents accepting that security in AI is essential to their business. Unsurprisingly, only 24% of the projects polled in the IBM survey have components meant to secure the initiative. Security is not an add-on to thoroughly flushed-out Generative AI infrastructure. It should be weaved in and through the entire infrastructure rather than slapped on top of it to pass regulations and compliance. The immense power of Generative AI brings with it vast responsibilities. This article aims to convince readers of the importance of security in AI and provide them with the knowledge and talking points to become security champions in their organizations. Objective The objective of GenAI security should be to secure the entire infrastructure from end to end. As security champions, we must secure data ingestion infrastructure, ensuring data legitimacy, data manipulation operations, model deployment, and user interactions. For the last year, people have been complaining about the degrading quality of answers provided by ChatGPT , whereas OpenAI has refuted such claims. While it is true that the quality of responses can deteriorate over time , it is entirely possible that an internally deployed model can be modified in an unauthorized manner by bad actors. Such responses can be indistinguishable from the typical quality degradation we expect. degrading quality of answers provided by ChatGPT degrading quality of answers provided by ChatGPT quality of responses can deteriorate over time quality of responses can deteriorate over time It goes without saying that customer data, which consists of their prompt history and responses, should be considered critical data, and we need to examine any risks that might seriously compromise users' trust. While the conversations are between a human and a machine, the personal nature of such discussions should be treated just like human-to-human conversations and secured as such. Risks There is no limit to the kind of risks one has to deal with when working on GenAI infrastructure. While we are looking into the typical security best practices from traditional security paradigms, there are AI-specific steps we need to take to ensure that we achieve a reasonable security posture. Data Poisoning : We have heard the old adage of garbage-in-garbage-out. If malicious actors manage to introduce malicious data into the corpus, the responses might not be what we expect. Imagine your company analyzes data and signals intelligence for your customers. If the data was poisoned by modification, deletion, or addition, then the results are going to be far from accurate. In fact, properly crafted training data can lead to wrong responses from the AI model. Data Poisoning Model Manipulation : While this sounds far-fetched, the National Institute of Standards and Technology has outlined how different types of cyberattacks manipulate the behavior of AI systems , focusing on evasion and privacy attacks. Model manipulation is closely tied to data poisoning; in practice, it’s hard to differentiate one from the other. Model Manipulation different types of cyberattacks manipulate the behavior of AI systems different types of cyberattacks manipulate the behavior of AI systems Prompt Injection Attacks : This attack vector is unique to Generation AI and is not in traditional cybersecurity practices. While a lot of research has gone into understanding the reasoning pathway of the models, for all practical purposes, they do remain a black box. Attackers can bypass safety controls by specially crafting input prompts , which lead to unauthorized responses. Prompt Injection Attacks specially crafting input prompts specially crafting input prompts These responses can contain confidential information or reveal some inner workings in the worst case. These attacks work because they exploit the very nature of Generative AI models, which deal with understanding natural languages. Supply Chain Attacks : Generative AI is nascent and involves integrating various software components, sometimes with little regard to security, to beat the competitors in the field of innovation. Each third-party library or component introduces another point of attack. Supply Chain Attacks Even malicious or modified data can fit under the umbrella of supply chain attacks. Refer to Open Worldwide Application Security Project (OWASP) LLM05: Supply Chain Vulnerabilities for more information. Open Worldwide Application Security Project (OWASP) LLM05: Supply Chain Vulnerabilities Open Worldwide Application Security Project (OWASP) LLM05: Supply Chain Vulnerabilities Approaches There isn’t a single way to handle security in the Generative AI space. Any attempts at creating a formal process run afoul of the dreaded checklist-based security compliance processes. At its core, security is not about processes and technology but a mindset and the culture that promotes it. Fundamentally, to secure Generative AI infrastructure, one needs a secure-by-design architecture. This might include, but is not limited to, access control, the least privilege model, encryption at rest and transit, and threat/anomaly detection systems. The architecture keeps evolving based on new research and changing business needs. Changes to architecture can increase the attack surface. To avoid this, there should be some form of operational review and annual security overview. One needs to have a culture where people are proactive about reviewing the changes and bold enough to discuss the possible threats. Supply chain threats are more complex to prevent, but digitally signing all components and pieces and validation before deployment can be a good start. A little more involved process may be using Software Bill of Materials tracking, which is recommended by the Cybersecurity and Infrastructure Security Agency (CISA) recommended by the Cybersecurity and Infrastructure Security Agency (CISA) recommended by the Cybersecurity and Infrastructure Security Agency (CISA) Conclusion The job of a CISO is becoming increasingly complex and involved. Apart from the increased DDoS attacks as reported by Cloudflare , which is 20% year-over-year, the addition of Generative AI to the broader organization infrastructure adds more moving parts to an already complex setup. While moving ahead with innovation and sidelining security might look tempting at first, it is equivalent to playing with fire. One wrong move can result in disastrous results, whether lost customer trust, personal data leak, or government-imposed penalties. reported by Cloudflare reported by Cloudflare An individual must be someone other than a CISO to push for a culture shift. Often, executives rely on people reporting to them to give them advice, which in turn is asked down the reporting chain. If Engineers or program Managers can make themselves security champions, they have a high chance of shining and access to opportunities for bigger responsibilities and a career boost. The future of Generative AI hinges on our ability and willingness to secure it. Organizations that recognize this fact and act proactively will be best positioned to thrive and overcome dangers and regulatory hurdles.

Security in Generative AI Infrastructure Is of Critical Importance

How I Grew My Instagram: Sharing My Journey as a Jewelry Designer

The Useless Skills You're Still Learning 

Why Web3 Projects Need Stories, Not Specs, to Win Over Users

How to Design User-Centric Web3 Applications (DApps): Tips and Tricks

ተጠቃሚን ያማከለ የዌብ3 አፕሊኬሽኖችን (DApps) እንዴት እንደሚንደፍ፡ ጠቃሚ ምክሮች እና ዘዴዎች

Как да проектираме ориентирани към потребителя Web3 приложения (DApps): съвети и трикове

কিভাবে ব্যবহারকারী-কেন্দ্রিক ওয়েব3 অ্যাপ্লিকেশন (DApps) ডিজাইন করবেন: টিপস এবং কৌশল

Jak navrhovat Web3 aplikace zaměřené na uživatele (DApps): Tipy a triky

Πώς να σχεδιάσετε εφαρμογές Web3 με επίκεντρο τον χρήστη (DApps): Συμβουλές και κόλπα

Cómo diseñar aplicaciones Web3 centradas en el usuario (DApps): consejos y trucos

ユーザー中心の Web3 アプリケーション (DApps) を設計する方法: ヒントとコツ

사용자 중심 Web3 애플리케이션(DApps)을 설계하는 방법: 팁과 요령

Как разрабатывать ориентированные на пользователя приложения Web3 (DApps): советы и рекомендации

Si të dizenjoni aplikacione Web3 me qendër nga përdoruesi (DApps): Këshilla dhe truke

Jinsi ya Kusanifu Programu za Wavuti 3 za Mtumiaji (DApps): Vidokezo na Mbinu

Kullanıcı Merkezli Web3 Uygulamaları (DApps) Nasıl Tasarlanır: İpuçları ve Püf Noktaları

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