Instrumental was founded by ex-Apple product design engineers Anna-Katrina Shedletsky and Samuel Weiss with a mission to eliminate $2T in electronic manufacturing waste. We have built the leading Manufacturing AI and Data Platform for brands and manufacturers developing and producing consumer and mission-critical electronics. The platform optimizes assembly, operations, and quality control processes to accelerate time-to-market, improve yields, eliminate rework, and save engineering time. We support the global engineering and operations of companies like Axon, Bose, Cisco, Meta, SolarEdge, and ChargePoint as they eliminate waste and deliver higher-quality products faster than ever before.

Instrumental

Telegram: Crypto Island's Bridge to the Mainland

টেলিগ্রাম: ক্রিপ্টো দ্বীপের মূল ভূখণ্ডের সেতু

Telegram: Die Brücke der Kryptoinsel zum Festland

Telegram: el puente de Crypto Island hacia el continente

Télégramme : le pont de Crypto Island vers le continent

टेलीग्राम: क्रिप्टो द्वीप का मुख्य भूमि से पुल

Telegram: クリプト島と本土を結ぶ橋

텔레그램: 크립토 아일랜드에서 본토로 연결되는 다리

Telegram: a ponte da Crypto Island para o continente

Telegram: мост Крипто-острова на материк

Telegram: Kripto Adası'nın anakaraya olan köprüsü

Telegram: Cầu nối đảo Crypto vào đất liền

Telegram：加密岛通往大陆的桥梁

The Crowded AI Spaces Still Have Room for One More Genius

জনাকীর্ণ এআই স্পেসগুলিতে এখনও আরও একটি প্রতিভা থাকার জায়গা রয়েছে

In den überfüllten KI-Räumen ist noch Platz für ein weiteres Genie

Los abarrotados espacios de IA todavía tienen espacio para un genio más

Les espaces IA bondés ont encore de la place pour un génie supplémentaire

भीड़-भाड़ वाले एआई स्पेस में अभी भी एक और प्रतिभा के लिए जगह है

混雑したAI空間にはまだもう一人の天才の余地がある

혼잡한 AI 공간에는 아직 천재가 한 명 더 들어갈 여지가 있습니다

Os lotados espaços de IA ainda têm espaço para mais um gênio

В переполненных пространствах ИИ все еще есть место для еще одного гения

Kalabalık Yapay Zeka Alanlarında Hala Bir Dahiye Daha Yer Var

Không gian AI đông đúc vẫn còn chỗ cho một thiên tài nữa

拥挤的人工智能领域仍有空间容纳更多天才

SEC v. Consensys Software Inc. Court Filing, retrieved on June 28, 2024, is part of HackerNoon’s Legal PDF Series. You can jump to any part in this filing here. This part is 23 of 26. FIRST CLAIM FOR RELIEF - Violation of Exchange Act Section 15(a) 329. The Commission re-alleges and incorporates by reference here the allegations in paragraphs 1 through 329. 330. By engaging in the acts and conduct described in this Complaint, Consensys, a person other than a natural person under the Exchange Act, is a broker and made use of the mails and the means and instrumentalities of interstate commerce to effect transactions in, or to induce or attempt to induce the purchase or sale of, securities for the account of others, without registering as a broker, and without having an exemption or exception from such registration. 331. By reason of the foregoing, Consensys violated, and, unless enjoined, will continue to violate Exchange Act Section 15(a) [15 U.S.C. § 78o(a)]. Continue Reading Here. About HackerNoon Legal PDF Series: We bring you the most important technical and insightful public domain court case filings.
This court case retrieved on June 28, 2024, storage.courtlistener.com is part of the public domain. The court-created documents are works of the federal government, and under copyright law, are automatically placed in the public domain and may be shared without legal restriction. SEC v. Consensys Software Inc. Court Filing, retrieved on June 28, 2024, is part of HackerNoon’s Legal PDF Series. You can jump to any part in this filing here. This part is 23 of 26. SEC v. Consensys Software Inc. Court Filing, retrieved on June 28, 2024, is part of HackerNoon’s Legal PDF Series . You can jump to any part in this filing here . This part is 23 of 26. HackerNoon’s Legal PDF Series here FIRST CLAIM FOR RELIEF - Violation of Exchange Act Section 15(a) 329. The Commission re-alleges and incorporates by reference here the allegations in paragraphs 1 through 329. 330. By engaging in the acts and conduct described in this Complaint, Consensys, a person other than a natural person under the Exchange Act, is a broker and made use of the mails and the means and instrumentalities of interstate commerce to effect transactions in, or to induce or attempt to induce the purchase or sale of, securities for the account of others, without registering as a broker, and without having an exemption or exception from such registration. 331. By reason of the foregoing, Consensys violated, and, unless enjoined, will continue to violate Exchange Act Section 15(a) [15 U.S.C. § 78o(a)]. Continue Reading Here. Continue Reading Here . Here About HackerNoon Legal PDF Series: We bring you the most important technical and insightful public domain court case filings. This court case retrieved on June 28, 2024, storage.courtlistener.com is part of the public domain. The court-created documents are works of the federal government, and under copyright law, are automatically placed in the public domain and may be shared without legal restriction. About HackerNoon Legal PDF Series: We bring you the most important technical and insightful public domain court case filings. This court case retrieved on June 28, 2024, storage.courtlistener.com is part of the public domain. The court-created documents are works of the federal government, and under copyright law, are automatically placed in the public domain and may be shared without legal restriction. storage.courtlistener.com

SEC Alleges Consensys Violated Exchange Act in Brokerage of Crypto Securities

SEC v. Consensys Software Inc. Court Filing, retrieved on June 28, 2024, is part of HackerNoon’s Legal PDF Series. You can jump to any part in this filing here. This part is 21 of 26. V. CONSENSYS WAS REQUIRED TO, BUT DID NOT, REGISTER AS A BROKER WITH RESPECT TO METAMASK SWAPS. 323. As fully set forth in the preceding paragraphs, Consensys, through MetaMask Swaps, used the means and instrumentalities of interstate commerce to engage in the business of effecting transactions in securities for the account of others by, for example, soliciting potential investors in crypto asset securities, holding itself out as a place to buy and sell crypto assets (including crypto asset securities), providing investment advice by highlighting the “best” prices or “best” value, and otherwise facilitating trading in crypto asset securities by creating customer wallets (i.e., “accounts”), routing customer orders, handling customer crypto asset securities through Consensys-operated smart contract addresses, facilitating order execution by submitting blockchain transactions to a Consensys node, and receiving transaction-based compensation for doing so. Consensys was herefore required to register with the SEC as a broker or operate pursuant to an exemption or exception but did not do so. Continue Reading Here. About HackerNoon Legal PDF Series: We bring you the most important technical and insightful public domain court case filings.
This court case retrieved on June 28, 2024, storage.courtlistener.com is part of the public domain. The court-created documents are works of the federal government, and under copyright law, are automatically placed in the public domain and may be shared without legal restriction. SEC v. Consensys Software Inc. Court Filing, retrieved on June 28, 2024, is part of HackerNoon’s Legal PDF Series. You can jump to any part in this filing here. This part is 21 of 26. SEC v. Consensys Software Inc. Court Filing, retrieved on June 28, 2024, is part of HackerNoon’s Legal PDF Series . You can jump to any part in this filing here . This part is 21 of 26. HackerNoon’s Legal PDF Series here V. CONSENSYS WAS REQUIRED TO, BUT DID NOT, REGISTER AS A BROKER WITH RESPECT TO METAMASK SWAPS. 323. As fully set forth in the preceding paragraphs, Consensys, through MetaMask Swaps, used the means and instrumentalities of interstate commerce to engage in the business of effecting transactions in securities for the account of others by, for example, soliciting potential investors in crypto asset securities, holding itself out as a place to buy and sell crypto assets (including crypto asset securities), providing investment advice by highlighting the “best” prices or “best” value, and otherwise facilitating trading in crypto asset securities by creating customer wallets (i.e., “accounts”), routing customer orders, handling customer crypto asset securities through Consensys-operated smart contract addresses, facilitating order execution by submitting blockchain transactions to a Consensys node, and receiving transaction-based compensation for doing so. Consensys was herefore required to register with the SEC as a broker or operate pursuant to an exemption or exception but did not do so. Continue Reading Here. Continue Reading Here . Here About HackerNoon Legal PDF Series: We bring you the most important technical and insightful public domain court case filings. This court case retrieved on June 28, 2024, storage.courtlistener.com is part of the public domain. The court-created documents are works of the federal government, and under copyright law, are automatically placed in the public domain and may be shared without legal restriction. About HackerNoon Legal PDF Series: We bring you the most important technical and insightful public domain court case filings. This court case retrieved on June 28, 2024, storage.courtlistener.com is part of the public domain. The court-created documents are works of the federal government, and under copyright law, are automatically placed in the public domain and may be shared without legal restriction. storage.courtlistener.com

Consensys Faces SEC Probe for Alleged Unlicensed Brokerage via MetaMask

SEC v. Consensys Software Inc. Court Filing, retrieved on June 28, 2024, is part of HackerNoon’s Legal PDF Series. You can jump to any part in this filing here. This part is 13 of 26. A. MATIC 142. “MATIC” is the native token of the Polygon blockchain. Polygon, originally called the Matic Network and rebranded as Polygon in 2021, is a blockchain platform created in 2017 in Mumbai, India by, among others, Jaynti Kanani, Sandeep Nailwal, and Anurag Arjun. Since its creation, Polygon’s founders have remained actively involved with Polygon through “Polygon Labs” (“Polygon”), an entity they also founded for “the development and growth of Polygon.” 143. According to the Polygon website, https://polygon.technology/, the Polygon network is an Ethereum scaling platform that enables developers to build scalable user-friendly dApps with low transaction fees, purportedly by hosting “sidechains” that run alongside the Ethereum blockchain, and allows users to process transactions and initiate the transfer of assets and technology development on Polygon’s supposedly less congested sidechain network. 144. Polygon issued a fixed supply of 10 billion MATIC tokens. MATIC holders can earn additional MATIC for staking their MATIC on the Polygon platform and becoming a validator, from delegating their MATIC to other validators in return for a portion of the fees collected from validating transactions, or from staking their MATIC with other third parties, such as crypto asset platforms that offer staking services. 145. According to the initial whitepaper for MATIC, “Matic Tokens [we]re expected to provide the economic incentives … on the Matic Network [now Polygon] … [W]ithout the Matic Token, there would be no incentive for users to expend resources to participate in activities or provide services for the benefit of the entire ecosystem on the Matic Network.” 146. In or around 2018, Polygon sold approximately 4 percent of the total supply of MATIC in two early rounds of sales raising $165,000 at a price of $0.00079 USD per 1 MATIC and $450,000 at a price of $0.00263 USD per 1 MATIC. In April 2019, Polygon sold another 19% of the total supply of MATIC to the public through a so-called “initial exchange offering” (or “IEO”— essentially, an initial offer and sale of a crypto asset security on a crypto trading platform) on the Binance.com crypto asset trading platform at a price of $0.00263 USD per 1 MATIC, raising an additional $5 million to fund development of the network. 147. From the time of its offering, MATIC was offered and sold as an investment contract and therefore a security. 148. The price of all MATIC tokens goes up or down together. 149. MATIC has been available for buying and selling through the brokerage services offered by MetaMask Swaps since at least July 2021. 150. The information Polygon publicly disseminated would lead a reasonable investor, including those who purchased MATIC since October 2020, to view MATIC as an investment. Specifically, MATIC holders would reasonably expect to profit from Polygon’s efforts to grow the Polygon protocol because this growth would in turn increase the demand for and the value of MATIC. 151. For example, Polygon stated publicly, including in the whitepaper, that it would pool investment proceeds through its private and public fundraising to develop and grow its business. 152. Following the IEO, moreover, Polygon engaged in additional MATIC sales, stating publicly that it was doing so in order to raise the funds needed to support the growth of its network. On February 7, 2022, Polygon reported on its blog that it raised about $450 million through a purportedly private sale of its native MATIC token in a funding round to several prominent venture capital firms. Polygon reported, “[w]ith this warchest, the core team can secure Polygon’s lead in paving the way for mass adoption of Web3 applications, a race that we believe will result in Ethereum prevailing over alternative blockchains.” 153. Polygon has also reported fundraising from other marquee and celebrity investors. 154. Polygon also stated that it would reserve roughly 67% of MATIC to support the Polygon ecosystem, the Foundation, and network operations. Another 20% of MATIC was further reserved to compensate the Polygon team members and advisors, aligning their fortunes with investors’ with respect to MATIC. 155. In addition, the Polygon blog provides frequent updates on network growth and developments at Polygon, including, prior to December 2022, weekly statistics on active wallets and transactions per day, as well as financial metrics such as revenue per day and total network revenue. 156. Polygon has also routinely announced when crypto asset trading platforms have made MATIC available for trading. 157. Polygon has explicitly encouraged MATIC purchasers to view MATIC as an investment in other ways. For example, in a February 5, 2021 tweet, 14 months after MATIC’s single biggest price drop, Nailwal compared the token to a prize fighter that came back from defeat to become a champion: 158. Also, on November 3, 2022, Nailwal stated on Twitter: “I will not rest till @0xPolygon gets its well-deserved ‘Top 3’ spot alongside BTC & ETH. No other project comes even close.” In a May 24, 2022 “Fireside Chat” with CNBC posted on YouTube, Bejelic described part of “what’s different about Polygon” as: “[w]e are as a team very, very committed, we have a very hands on approach with all the projects out there, we are working around the clock on adoption and that is why we are currently the most adopted scaling infrastructure platform.” Into 2023, the founders of Polygon continued to promote the platform through various social media. For example, on February 21, 2023, Nailwal tweeted, and Kanani retweeted, “Polygon has grown exponentially. To continue on this path of stupendous growth we have crystallized our strategy for the next 5 yrs to drive mass adoption of web3 by scaling Ethereum. Our treasury remains healthy with a balance of over $250 million and over 1.9 billion MATIC.” 159. Since January 2022, Polygon has also marketed that it “burns” MATIC tokens accumulated as fees, indicating that the total supply of MATIC would decrease. For example, in January 2022, Polygon emphatically announced a protocol upgrade that enabled burning in a blogpost titled, “Burn, MATIC, Burn!” As Polygon explained in another blog post on its website around the same time, “Polygon’s MATIC has a fixed supply of 10 billion, so any reduction in the number of available tokens will have a deflationary effect.” As of March 28, 2023, Polygon had burned approximately 9.6 million MATIC tokens. This marketed burning of MATIC as part of the Polygon’s network’s “deflationary effect” has led investors reasonably to view their purchase of MATIC as having the potential for profit to the extent there is a built-in mechanism to decrease the supply and therefore increase the price of MATIC. 160. In another white paper, Nailwal and others recently announced a revised Polygon protocol where a new token, POL, would succeed MATIC “as the native token of the Polygon ecosystem.” The white paper states that: “As the successor of MATIC, POL is envisioned to become an instrumental tool for coordination and growth of the Polygon ecosystem and the main driver of the vision of Polygon as the Value Layer for the Internet.” 161. The whitepaper lays out a model “to simulate important performance indicators of the POL-powered ecosystem.” The model estimates a $5 average POL price during the proposed 10-year period, a significant increase from the current price of MATIC. Continue Reading Here. About HackerNoon Legal PDF Series: We bring you the most important technical and insightful public domain court case filings.
This court case retrieved on June 28, 2024, storage.courtlistener.com is part of the public domain. The court-created documents are works of the federal government, and under copyright law, are automatically placed in the public domain and may be shared without legal restriction. SEC v. Consensys Software Inc. Court Filing, retrieved on June 28, 2024, is part of HackerNoon’s Legal PDF Series. You can jump to any part in this filing here. This part is 13 of 26. SEC v. Consensys Software Inc. Court Filing, retrieved on June 28, 2024, is part of HackerNoon’s Legal PDF Series . You can jump to any part in this filing here . This part is 13 of 26. HackerNoon’s Legal PDF Series here A. MATIC 142. “MATIC” is the native token of the Polygon blockchain. Polygon, originally called the Matic Network and rebranded as Polygon in 2021, is a blockchain platform created in 2017 in Mumbai, India by, among others, Jaynti Kanani, Sandeep Nailwal, and Anurag Arjun. Since its creation, Polygon’s founders have remained actively involved with Polygon through “Polygon Labs” (“Polygon”), an entity they also founded for “the development and growth of Polygon.” 143. According to the Polygon website, https://polygon.technology/, the Polygon network is an Ethereum scaling platform that enables developers to build scalable user-friendly dApps with low transaction fees, purportedly by hosting “sidechains” that run alongside the Ethereum blockchain, and allows users to process transactions and initiate the transfer of assets and technology development on Polygon’s supposedly less congested sidechain network. 144. Polygon issued a fixed supply of 10 billion MATIC tokens. MATIC holders can earn additional MATIC for staking their MATIC on the Polygon platform and becoming a validator, from delegating their MATIC to other validators in return for a portion of the fees collected from validating transactions, or from staking their MATIC with other third parties, such as crypto asset platforms that offer staking services. 145. According to the initial whitepaper for MATIC, “Matic Tokens [we]re expected to provide the economic incentives … on the Matic Network [now Polygon] … [W]ithout the Matic Token, there would be no incentive for users to expend resources to participate in activities or provide services for the benefit of the entire ecosystem on the Matic Network.” 146. In or around 2018, Polygon sold approximately 4 percent of the total supply of MATIC in two early rounds of sales raising $165,000 at a price of $0.00079 USD per 1 MATIC and $450,000 at a price of $0.00263 USD per 1 MATIC. In April 2019, Polygon sold another 19% of the total supply of MATIC to the public through a so-called “initial exchange offering” (or “IEO”— essentially, an initial offer and sale of a crypto asset security on a crypto trading platform) on the Binance.com crypto asset trading platform at a price of $0.00263 USD per 1 MATIC, raising an additional $5 million to fund development of the network. 147. From the time of its offering, MATIC was offered and sold as an investment contract and therefore a security. 148. The price of all MATIC tokens goes up or down together. 149. MATIC has been available for buying and selling through the brokerage services offered by MetaMask Swaps since at least July 2021. 150. The information Polygon publicly disseminated would lead a reasonable investor, including those who purchased MATIC since October 2020, to view MATIC as an investment. Specifically, MATIC holders would reasonably expect to profit from Polygon’s efforts to grow the Polygon protocol because this growth would in turn increase the demand for and the value of MATIC. 151. For example, Polygon stated publicly, including in the whitepaper, that it would pool investment proceeds through its private and public fundraising to develop and grow its business. 152. Following the IEO, moreover, Polygon engaged in additional MATIC sales, stating publicly that it was doing so in order to raise the funds needed to support the growth of its network. On February 7, 2022, Polygon reported on its blog that it raised about $450 million through a purportedly private sale of its native MATIC token in a funding round to several prominent venture capital firms. Polygon reported, “[w]ith this warchest, the core team can secure Polygon’s lead in paving the way for mass adoption of Web3 applications, a race that we believe will result in Ethereum prevailing over alternative blockchains.” 153. Polygon has also reported fundraising from other marquee and celebrity investors. 154. Polygon also stated that it would reserve roughly 67% of MATIC to support the Polygon ecosystem, the Foundation, and network operations. Another 20% of MATIC was further reserved to compensate the Polygon team members and advisors, aligning their fortunes with investors’ with respect to MATIC. 155. In addition, the Polygon blog provides frequent updates on network growth and developments at Polygon, including, prior to December 2022, weekly statistics on active wallets and transactions per day, as well as financial metrics such as revenue per day and total network revenue. 156. Polygon has also routinely announced when crypto asset trading platforms have made MATIC available for trading. 157. Polygon has explicitly encouraged MATIC purchasers to view MATIC as an investment in other ways. For example, in a February 5, 2021 tweet, 14 months after MATIC’s single biggest price drop, Nailwal compared the token to a prize fighter that came back from defeat to become a champion: 158. Also, on November 3, 2022, Nailwal stated on Twitter: “I will not rest till @0xPolygon gets its well-deserved ‘Top 3’ spot alongside BTC & ETH. No other project comes even close.” In a May 24, 2022 “Fireside Chat” with CNBC posted on YouTube, Bejelic described part of “what’s different about Polygon” as: “[w]e are as a team very, very committed, we have a very hands on approach with all the projects out there, we are working around the clock on adoption and that is why we are currently the most adopted scaling infrastructure platform.” Into 2023, the founders of Polygon continued to promote the platform through various social media. For example, on February 21, 2023, Nailwal tweeted, and Kanani retweeted, “Polygon has grown exponentially. To continue on this path of stupendous growth we have crystallized our strategy for the next 5 yrs to drive mass adoption of web3 by scaling Ethereum. Our treasury remains healthy with a balance of over $250 million and over 1.9 billion MATIC.” 159. Since January 2022, Polygon has also marketed that it “burns” MATIC tokens accumulated as fees, indicating that the total supply of MATIC would decrease. For example, in January 2022, Polygon emphatically announced a protocol upgrade that enabled burning in a blogpost titled, “Burn, MATIC, Burn!” As Polygon explained in another blog post on its website around the same time, “Polygon’s MATIC has a fixed supply of 10 billion, so any reduction in the number of available tokens will have a deflationary effect.” As of March 28, 2023, Polygon had burned approximately 9.6 million MATIC tokens. This marketed burning of MATIC as part of the Polygon’s network’s “deflationary effect” has led investors reasonably to view their purchase of MATIC as having the potential for profit to the extent there is a built-in mechanism to decrease the supply and therefore increase the price of MATIC. 160. In another white paper, Nailwal and others recently announced a revised Polygon protocol where a new token, POL, would succeed MATIC “as the native token of the Polygon ecosystem.” The white paper states that: “As the successor of MATIC, POL is envisioned to become an instrumental tool for coordination and growth of the Polygon ecosystem and the main driver of the vision of Polygon as the Value Layer for the Internet.” 161. The whitepaper lays out a model “to simulate important performance indicators of the POL-powered ecosystem.” The model estimates a $5 average POL price during the proposed 10-year period, a significant increase from the current price of MATIC. Continue Reading Here. Continue Reading Here . Here About HackerNoon Legal PDF Series: We bring you the most important technical and insightful public domain court case filings. This court case retrieved on June 28, 2024, storage.courtlistener.com is part of the public domain. The court-created documents are works of the federal government, and under copyright law, are automatically placed in the public domain and may be shared without legal restriction. About HackerNoon Legal PDF Series: We bring you the most important technical and insightful public domain court case filings. This court case retrieved on June 28, 2024, storage.courtlistener.com is part of the public domain. The court-created documents are works of the federal government, and under copyright law, are automatically placed in the public domain and may be shared without legal restriction. storage.courtlistener.com

Polygon's MATIC Token Under SEC Spotlight: What Investors Need to Know

SEC v. Consensys Software Inc. Court Filing, retrieved on June 28, 2024, is part of HackerNoon’s Legal PDF Series. You can jump to any part in this filing here. This part is 4 of 26. JURISDICTION AND VENUE 18. This Court has jurisdiction over this action pursuant to 28 U.S.C. § 1331, Sections 20(b), 20(d), and 22 of the Securities Act [15 U.S.C. §§ 77t(b), 77t(d), and 77v], and Sections 21(d), 21(e), and 27 of the Exchange Act [15 U.S.C. §§ 78u(d), 78u(e), and 78aa]. 19. Defendant, directly and indirectly, has made use of the means or instrumentalities of interstate commerce or of the mails in connection with the transactions, acts, practices, and courses of business alleged herein. 20. Venue lies in this District under Securities Act Section 22(a) [15 U.S.C. § 77v(a)] and Exchange Act Section 27 [15 U.S.C. § 78aa]. Defendants may be found in, are inhabitants of, or transact business in the Eastern District of New York, and certain of the acts, practices, transactions, and courses of business alleged in this Complaint occurred within this District. Prior to February 2024, Consensys was based in Brooklyn, New York, and still maintains offices in Brooklyn. Continue Reading Here. About HackerNoon Legal PDF Series: We bring you the most important technical and insightful public domain court case filings.
This court case retrieved on June 28, 2024, storage.courtlistener.com is part of the public domain. The court-created documents are works of the federal government, and under copyright law, are automatically placed in the public domain and may be shared without legal restriction. SEC v. Consensys Software Inc. Court Filing, retrieved on June 28, 2024, is part of HackerNoon’s Legal PDF Series. You can jump to any part in this filing here. This part is 4 of 26. SEC v. Consensys Software Inc. Court Filing, retrieved on June 28, 2024, is part of HackerNoon’s Legal PDF Series . You can jump to any part in this filing here . This part is 4 of 26. HackerNoon’s Legal PDF Series here JURISDICTION AND VENUE 18. This Court has jurisdiction over this action pursuant to 28 U.S.C. § 1331, Sections 20(b), 20(d), and 22 of the Securities Act [15 U.S.C. §§ 77t(b), 77t(d), and 77v], and Sections 21(d), 21(e), and 27 of the Exchange Act [15 U.S.C. §§ 78u(d), 78u(e), and 78aa]. 19. Defendant, directly and indirectly, has made use of the means or instrumentalities of interstate commerce or of the mails in connection with the transactions, acts, practices, and courses of business alleged herein. 20. Venue lies in this District under Securities Act Section 22(a) [15 U.S.C. § 77v(a)] and Exchange Act Section 27 [15 U.S.C. § 78aa]. Defendants may be found in, are inhabitants of, or transact business in the Eastern District of New York, and certain of the acts, practices, transactions, and courses of business alleged in this Complaint occurred within this District. Prior to February 2024, Consensys was based in Brooklyn, New York, and still maintains offices in Brooklyn. Continue Reading Here. Continue Reading Here . Here About HackerNoon Legal PDF Series: We bring you the most important technical and insightful public domain court case filings. This court case retrieved on June 28, 2024, storage.courtlistener.com is part of the public domain. The court-created documents are works of the federal government, and under copyright law, are automatically placed in the public domain and may be shared without legal restriction. About HackerNoon Legal PDF Series: We bring you the most important technical and insightful public domain court case filings. This court case retrieved on June 28, 2024, storage.courtlistener.com is part of the public domain. The court-created documents are works of the federal government, and under copyright law, are automatically placed in the public domain and may be shared without legal restriction. storage.courtlistener.com

Consensys Faces Federal Court in NY Over Securities Violations

Businesses increasingly recognize the potential of generative artificial intelligence (GenAI). However, many organizations find themselves trapped in a cycle of endless pilot projects, unable to fully realize the benefits of GenAI in production environments. The AI control platform Aporia is changing how enterprises adopt and scale GenAI solutions, pushing them to break free from pilot limbo and achieve live success. "At Aporia, our mission is to maximize the immense potential of GenAI and the real-world challenges that hinder its widespread adoption," says Liran Hason, Chief Executive Officer (CEO) of Aporia, who coined the term “GenAI Chasm,” referring to the pilot phase AI often gets caught in before being able to go live due to security and reliability issues. With its guardrails and comprehensive risk mitigation strategies, the company is opening new avenues for seamless GenAI deployment across industries. Aporia's Robust Guardrails for Seamless GenAI Adoption One of the primary challenges in GenAI deployment is the lack of adequate control and risk management. Aporia’s comprehensive suite of tools is meant to ensure safe, responsible, and compliant AI interactions. These guardrails seamlessly integrate with existing AI workflows, providing a powerful layer of protection against potential risks such as data leakage, hallucinations, and prompt injection attacks. "Aporia's guardrails are the cornerstone of our platform," explains Hason. "They empower businesses to adopt GenAI with confidence, secure in the knowledge that their applications are reliable, secure, and aligned with their core values and objectives.” Mitigating Hallucinations and Prompt Injection Risks Hallucinations and prompt injection attacks pose threats to the integrity and reliability of GenAI applications. Aporia addresses these challenges with a multi-faceted approach that combines advanced detection algorithms, real-time actions, and proactive mitigation strategies. "Hallucinations and prompt injections can erode trust in AI systems and lead to severe consequences," notes Hason. "Our comprehensive approach ensures that these risks are identified and mitigated before they can impact end-users or the business." With Aporia's robust safeguards, organizations can confidently deploy GenAI applications, knowing their systems are protected against these critical threats. Ensuring Compliance and Ethical AI Deployment with Aporia's Solutions GenAI is becoming more prevalent, and compliance with regulations and ethical standards is paramount. Aporia's solutions are designed to help businesses deal with this complex landscape easily and to cross the GenAI chasm with confidence. "Compliance and ethics are not mere afterthoughts for us. They are embedded in the very fabric of our platform," states Hason. "We firmly believe that the long-term success of GenAI hinges on its ability to operate within a framework of trust, transparency, and accountability from both the user and business perspective." Pioneering Research for Secure and Reliable GenAI Applications Aporia Labs, Aporia's dedicated research and development division, is advancing the platform’s security and reliability. Staffed by a team of world-class AI researchers, security experts, and data scientists, Aporia Labs conducts constant research to identify emerging threats and develop services. "The work we do at Aporia Labs is instrumental to the future of GenAI. It's shaping the very trajectory of the industry," says Hason. Aporia Labs makes way for secure and reliable GenAI applications through its pioneering research. How Aporia Streamlines the GenAI Development Lifecycle Aporia's AI control platform is designed to streamline the entire GenAI development lifecycle, from ideation to deployment and beyond. A unified environment for building, testing, and monitoring GenAI applications enables teams to deliver better results. Furthermore, the platform's intuitive interface and powerful automation capabilities make it easy for businesses to bring their GenAI visions to life without compromising quality or security. "We've witnessed firsthand the transformative impact of Aporia on the GenAI development process," shares Hason. With Aporia, organizations can streamline their GenAI development efforts, accelerating time-to-market and maximizing the return on their AI investments. The Key to Unlocking GenAI's Full Potential in Enterprise Settings For enterprises seeking to harness GenAI's full potential, Aporia's AI control platform is the key to success. With its comprehensive feature set, scalable architecture, and enterprise-grade security, the platform is able to meet large-scale AI deployments' unique needs and challenges. From customizable guardrails to advanced analytics and reporting, Aporia provides the tools and insights to drive GenAI adoption and return on investment (ROI) across the organization. "Enterprises face complex challenges when it comes to scaling GenAI, from ensuring security and governance to driving organization-wide adoption," notes Hason. "Aporia's platform is purpose-built to address these challenges head-on, enabling enterprises to unlock the full potential of GenAI and drive transformative business outcomes." Bridging the Gap: Aporia's Proven Strategies for Successful GenAI Pilot-to-Production Transitions Transitioning GenAI projects from pilot to production is a critical milestone many businesses struggle with. Aporia bridges this gap with proven strategies and best practices that have helped countless organizations successfully deal with this journey. Aporia remains a leading enabler for businesses to unlock the full potential of this advanced technology. With Aporia, businesses can confidently solve the challenges of GenAI deployment, harnessing its immense potential to drive growth and become a more competitive advantage in an AI-driven future. This piece was published as a part of HackerNoon’s Business Blogging Program. For more details, please click here. Businesses increasingly recognize the potential of generative artificial intelligence (GenAI). However, many organizations find themselves trapped in a cycle of endless pilot projects, unable to fully realize the benefits of GenAI in production environments. Businesses increasingly recognize the potential of generative artificial intelligence (GenAI). However, many organizations find themselves trapped in a cycle of endless pilot projects, unable to fully realize the benefits of GenAI in production environments. The AI control platform Aporia is changing how enterprises adopt and scale GenAI solutions, pushing them to break free from pilot limbo and achieve live success. Aporia Aporia " At Aporia, our mission is to maximize the immense potential of GenAI and the real-world challenges that hinder its widespread adoption, " says Liran Hason, Chief Executive Officer (CEO) of Aporia, who coined the term “GenAI Chasm,” referring to the pilot phase AI often gets caught in before being able to go live due to security and reliability issues. With its guardrails and comprehensive risk mitigation strategies, the company is opening new avenues for seamless GenAI deployment across industries. At Aporia, our mission is to maximize the immense potential of GenAI and the real-world challenges that hinder its widespread adoption, Aporia's Robust Guardrails for Seamless GenAI Adoption Aporia's Robust Guardrails for Seamless GenAI Adoption One of the primary challenges in GenAI deployment is the lack of adequate control and risk management. Aporia’s comprehensive suite of tools is meant to ensure safe, responsible, and compliant AI interactions. These guardrails seamlessly integrate with existing AI workflows, providing a powerful layer of protection against potential risks such as data leakage, hallucinations, and prompt injection attacks. "Aporia's guardrails are the cornerstone of our platform," explains Hason. " They empower businesses to adopt GenAI with confidence, secure in the knowledge that their applications are reliable, secure, and aligned with their core values and objectives.” "Aporia's guardrails are the cornerstone of our platform," They empower businesses to adopt GenAI with confidence, secure in the knowledge that their applications are reliable, secure, and aligned with their core values and objectives.” Mitigating Hallucinations and Prompt Injection Risks Mitigating Hallucinations and Prompt Injection Risks Hallucinations and prompt injection attacks pose threats to the integrity and reliability of GenAI applications. Aporia addresses these challenges with a multi-faceted approach that combines advanced detection algorithms, real-time actions, and proactive mitigation strategies. "Hallucinations and prompt injections can erode trust in AI systems and lead to severe consequences," notes Hason. " Our comprehensive approach ensures that these risks are identified and mitigated before they can impact end-users or the business." With Aporia's robust safeguards, organizations can confidently deploy GenAI applications, knowing their systems are protected against these critical threats. "Hallucinations and prompt injections can erode trust in AI systems and lead to severe consequences," Our comprehensive approach ensures that these risks are identified and mitigated before they can impact end-users or the business." Ensuring Compliance and Ethical AI Deployment with Aporia's Solutions Ensuring Compliance and Ethical AI Deployment with Aporia's Solutions GenAI is becoming more prevalent, and compliance with regulations and ethical standards is paramount. Aporia's solutions are designed to help businesses deal with this complex landscape easily and to cross the GenAI chasm with confidence. "Compliance and ethics are not mere afterthoughts for us. They are embedded in the very fabric of our platform," states Hason. " We firmly believe that the long-term success of GenAI hinges on its ability to operate within a framework of trust, transparency, and accountability from both the user and business perspective." "Compliance and ethics are not mere afterthoughts for us. They are embedded in the very fabric of our platform," We firmly believe that the long-term success of GenAI hinges on its ability to operate within a framework of trust, transparency, and accountability from both the user and business perspective." Pioneering Research for Secure and Reliable GenAI Applications Pioneering Research for Secure and Reliable GenAI Applications Aporia Labs, Aporia's dedicated research and development division, is advancing the platform’s security and reliability. Staffed by a team of world-class AI researchers, security experts, and data scientists, Aporia Labs conducts constant research to identify emerging threats and develop services. "The work we do at Aporia Labs is instrumental to the future of GenAI. It's shaping the very trajectory of the industry," says Hason. Aporia Labs makes way for secure and reliable GenAI applications through its pioneering research. "The work we do at Aporia Labs is instrumental to the future of GenAI. It's shaping the very trajectory of the industry," How Aporia Streamlines the GenAI Development Lifecycle How Aporia Streamlines the GenAI Development Lifecycle Aporia's AI control platform is designed to streamline the entire GenAI development lifecycle, from ideation to deployment and beyond. A unified environment for building, testing, and monitoring GenAI applications enables teams to deliver better results. Furthermore, the platform's intuitive interface and powerful automation capabilities make it easy for businesses to bring their GenAI visions to life without compromising quality or security. "We've witnessed firsthand the transformative impact of Aporia on the GenAI development process," shares Hason. With Aporia, organizations can streamline their GenAI development efforts, accelerating time-to-market and maximizing the return on their AI investments. "We've witnessed firsthand the transformative impact of Aporia on the GenAI development process," The Key to Unlocking GenAI's Full Potential in Enterprise Settings The Key to Unlocking GenAI's Full Potential in Enterprise Settings For enterprises seeking to harness GenAI's full potential, Aporia's AI control platform is the key to success. With its comprehensive feature set, scalable architecture, and enterprise-grade security, the platform is able to meet large-scale AI deployments' unique needs and challenges. From customizable guardrails to advanced analytics and reporting, Aporia provides the tools and insights to drive GenAI adoption and return on investment (ROI) across the organization. "Enterprises face complex challenges when it comes to scaling GenAI, from ensuring security and governance to driving organization-wide adoption," notes Hason. "Aporia's platform is purpose-built to address these challenges head-on, enabling enterprises to unlock the full potential of GenAI and drive transformative business outcomes." "Enterprises face complex challenges when it comes to scaling GenAI, from ensuring security and governance to driving organization-wide adoption," "Aporia's platform is purpose-built to address these challenges head-on, enabling enterprises to unlock the full potential of GenAI and drive transformative business outcomes." Bridging the Gap: Aporia's Proven Strategies for Successful GenAI Pilot-to-Production Transitions Bridging the Gap: Aporia's Proven Strategies for Successful GenAI Pilot-to-Production Transitions Transitioning GenAI projects from pilot to production is a critical milestone many businesses struggle with. Aporia bridges this gap with proven strategies and best practices that have helped countless organizations successfully deal with this journey. Aporia remains a leading enabler for businesses to unlock the full potential of this advanced technology. With Aporia, businesses can confidently solve the challenges of GenAI deployment, harnessing its immense potential to drive growth and become a more competitive advantage in an AI-driven future. This piece was published as a part of HackerNoon’s Business Blogging Program. For more details, please click here. This piece was published as a part of HackerNoon’s Business Blogging Program. For more details, please click here . here

How Aporia Enables GenAI Deployment From Pilot Limbo to Live Success

অ্যাপোরিয়া কীভাবে পাইলট লিম্বো থেকে লাইভ সাফল্যের জন্য GenAI স্থাপনাকে সক্ষম করে

Wie Aporia die GenAI-Bereitstellung von der Pilotphase bis zum Live-Erfolg ermöglicht

Cómo Aporia permite la implementación de GenAI desde el limbo piloto hasta el éxito en vivo

Comment Aporia permet le déploiement de GenAI des limbes pilotes au succès réel

एपोरिया कैसे जेनएआई की तैनाती को पायलट लिम्बो से लाइव सफ़लता तक सक्षम बनाता है

Aporia が GenAI の導入をパイロット段階から実際の成功まで可能にする方法

Aporia가 파일럿 림보(Pilot Limbo)에서 실제 성공까지 GenAI 배포를 활성화하는 방법

Como Aporia permite a implantação de GenAI do piloto Limbo ao sucesso ao vivo

Как Aporia обеспечивает развертывание GenAI от экспериментального неопределенности до реального успеха

Aporia, Pilot Araf'tan Canlı Başarıya Kadar GenAI Dağıtımını Nasıl Etkinleştiriyor?

Cách Aporia cho phép triển khai GenAI từ thí điểm Limbo đến thành công trực tiếp

Aporia 如何使 GenAI 部署从试点走向成功

Author is leading Developer Productivity GTM at Microsoft Western Europe. GitHub Copilot is a part of this business area. GitHub Copilot Chat is an incredibly powerful and useful feature that allows you to chat with or about your code. Even though it’s 100% natural language-friendly (i.e., you can send your messages without using any specific syntax), leveraging some special chat capabilities can unlock new AI-assisted development scenarios and significantly boost your productivity. These powerful features, which you can use by applying special syntax, include chat participants, slash commands, and context variables. Note that the described features are available in VS Code and might not be fully supported in other IDEs where GitHub Copilot Chat is available. Target Your Question or Request by Messaging One of the Available Chat Participants In GitHub Copilot Chat, you can reference one of the AI-powered “domain experts” using conventional chat syntax—by prepending @ to the participant name. The currently available chat participants are: @workspace: Knows everything about the code in your currently open workspace. This is the chat participant you will most likely communicate with frequently. @terminal: Knows all about the integrated terminal shell, its contents, and its buffer. @vscode: Knows about the VS Code editor, its commands, and features. Example: Let’s get information about the backend part of the project we’ve just been assigned to by asking the @workspace chat participant right after we open the project folder in VS Code. In this particular case, you don’t even need to have files open in your editor. Compare this with the response you get without tagging @workspace: The @workspace chat participant is instrumental for all solution-wide queries where you want all code to be considered for the chat response. However, this doesn't mean that all code will be used and sent as part of the prompt. The GitHub Copilot Chat extension in VS Code does its best to determine relevant files and parts of these files using local knowledge and intelligence first. You can check which files and code lines were used for the prompt by expanding the “Used references” line: Productivity hint: Use Ctrl-Enter (Cmd-Enter) instead of just Enter after typing your message, and the @workspace string will be inserted into your message automatically before sending. Be Precise in Setting the Context Using Chat Variables In many cases, considering the full solution as the context for your question or request (by using @workspace) is overkill. You might want to point to specific files or even parts of the files in your message. Chat variables can help! Use # to call one from this list: #file: Points to a specific file in your workspace. #codebase: All content of the open workspace. It’s similar to using @workspace and might be useful when you chat with another agent (like @terminal) but still want to reference the full solution. #editor: Source code in the editor’s viewport (visible part). #git: Current git repository: branch, remotes, path, etc. #selection: The currently selected code. #terminalLastCommand: Last run command in the editor’s terminal. #terminalSelection: Selection in the editor's terminal. Example: Let’s get help on improving method names in a specific file (and we want to ensure that the whole content of the file is taken into consideration). Productivity hint: Use the up and down keyboard arrows to pick the chat variable you need after typing #. In the case of #file, use keyboard navigation again to pick one of the suggested files. Call the Most Often Used Actions Quickly With Slash Commands Chatting with your code using natural language is fun, but having the option to call often-used actions using handy shortcuts is even better. Compare typing the full message “Explain how selected code works” versus typing “/”, then using keyboard arrows to pick /explain from the popup overlay. Another benefit of using the predefined syntax for commands is the confidence that GitHub Copilot understands our intent 100% correctly (natural language might have some ambiguity). There are a bunch of slash commands available. You can use them in conjunction with referencing the chat participant to provide the desired scope. Some of the commands are: /help: Help with available slash commands, chat participants, chat variables, and more. /doc: Generate documentation for the code. /explain: Explain how the code works (or get help with terminal commands if you prepend @terminal). /fix: Optimize and/or fix issues in the code. /tests: Create unit tests for the code. /new: Scaffold a new workspace. Example: Let’s get an explanation for one of the regular expressions in our code. Select the code line, and use the slash command “/explain. Productivity hint: Try GitHub Copilot Chat in inline mode instead of having the chat always open in the side pane. Press Ctrl-I (Cmd-I) and type your message in the small overlay dialog that appears right above the line where your cursor is in the code window. Summary Use chat participants, chat variables, and slash commands to maintain full control over the conversation context, ensure correct and consistent understanding of your intentions, and ultimately chat and code faster! Start your free GitHub Copilot trial here: https://aka.ms/try-github-copilot References https://github.blog/changelog/2024-01-30-code-faster-and-better-with-github-copilots-new-features-in-visual-studio/#slash-commands


https://github.blog/changelog/2023-11-30-github-copilot-november-30th-update/


https://code.visualstudio.com/docs/copilot/copilot-chat#_chat-participants


https://devblogs.microsoft.com/visualstudio/copilot-chat-slash-commands-and-context-variables/


https://code.visualstudio.com/updates/v1_85#_terminal-agent-and-command-suggestion-improvements


https://code.visualstudio.com/updates/v1_84#_chat-agents Author is leading Developer Productivity GTM at Microsoft Western Europe. GitHub Copilot is a part of this business area. Author is leading Developer Productivity GTM at Microsoft Western Europe. GitHub Copilot is a part of this business area. GitHub Copilot Chat is an incredibly powerful and useful feature that allows you to chat with or about your code. Even though it’s 100% natural language-friendly (i.e., you can send your messages without using any specific syntax), leveraging some special chat capabilities can unlock new AI-assisted development scenarios and significantly boost your productivity. These powerful features, which you can use by applying special syntax, include chat participants, slash commands, and context variables. Note that the described features are available in VS Code and might not be fully supported in other IDEs where GitHub Copilot Chat is available. Target Your Question or Request by Messaging One of the Available Chat Participants In GitHub Copilot Chat, you can reference one of the AI-powered “domain experts” using conventional chat syntax—by prepending @ to the participant name. The currently available chat participants are: @workspace: Knows everything about the code in your currently open workspace. This is the chat participant you will most likely communicate with frequently. @workspace : Knows everything about the code in your currently open workspace. This is the chat participant you will most likely communicate with frequently. @workspace @terminal: Knows all about the integrated terminal shell, its contents, and its buffer. @terminal : Knows all about the integrated terminal shell, its contents, and its buffer. @terminal @vscode: Knows about the VS Code editor, its commands, and features. @vscode : Knows about the VS Code editor, its commands, and features. @vscode Example: Let’s get information about the backend part of the project we’ve just been assigned to by asking the @workspace chat participant right after we open the project folder in VS Code. Example: Let’s get information about the backend part of the project we’ve just been assigned to by asking the @workspace chat participant right after we open the project folder in VS Code. Example: Let’s get information about the backend part of the project we’ve just been assigned to by asking the @workspace In this particular case, you don’t even need to have files open in your editor. Compare this with the response you get without tagging @workspace : @workspace The @workspace chat participant is instrumental for all solution-wide queries where you want all code to be considered for the chat response. However, this doesn't mean that all code will be used and sent as part of the prompt. The GitHub Copilot Chat extension in VS Code does its best to determine relevant files and parts of these files using local knowledge and intelligence first. You can check which files and code lines were used for the prompt by expanding the “Used references” line: @workspace Productivity hint: Use Ctrl-Enter (Cmd-Enter) instead of just Enter after typing your message, and the @workspace string will be inserted into your message automatically before sending. Productivity hint: Use Ctrl-Enter (Cmd-Enter) instead of just Enter after typing your message, and the @workspace string will be inserted into your message automatically before sending. Be Precise in Setting the Context Using Chat Variables In many cases, considering the full solution as the context for your question or request (by using @workspace ) is overkill. You might want to point to specific files or even parts of the files in your message. Chat variables can help! Use # to call one from this list: @workspace #file: Points to a specific file in your workspace. #file : Points to a specific file in your workspace. #file #codebase: All content of the open workspace. It’s similar to using @workspace and might be useful when you chat with another agent (like @terminal) but still want to reference the full solution. #codebase : All content of the open workspace. It’s similar to using @workspace and might be useful when you chat with another agent (like @terminal ) but still want to reference the full solution. #codebase @workspace @terminal #editor: Source code in the editor’s viewport (visible part). #editor : Source code in the editor’s viewport (visible part). #editor #git: Current git repository: branch, remotes, path, etc. #git : Current git repository: branch, remotes, path, etc. #git #selection: The currently selected code. #selection : The currently selected code. #selection #terminalLastCommand: Last run command in the editor’s terminal. #terminalLastCommand : Last run command in the editor’s terminal. #terminalLastCommand #terminalSelection: Selection in the editor's terminal. #terminalSelection : Selection in the editor's terminal. #terminalSelection Example: Let’s get help on improving method names in a specific file (and we want to ensure that the whole content of the file is taken into consideration). Example: Let’s get help on improving method names in a specific file (and we want to ensure that the whole content of the file is taken into consideration). Example: Let’s get help on improving method names in a specific file (and we want to ensure that the whole content of the file is taken into consideration). Productivity hint: Use the up and down keyboard arrows to pick the chat variable you need after typing #. In the case of #file , use keyboard navigation again to pick one of the suggested files. Productivity hint: Use the up and down keyboard arrows to pick the chat variable you need after typing #. In the case of #file , use keyboard navigation again to pick one of the suggested files. Call the Most Often Used Actions Quickly With Slash Commands Chatting with your code using natural language is fun, but having the option to call often-used actions using handy shortcuts is even better. Compare typing the full message “Explain how selected code works” versus typing “/”, then using keyboard arrows to pick /explain from the popup overlay. /explain Another benefit of using the predefined syntax for commands is the confidence that GitHub Copilot understands our intent 100% correctly (natural language might have some ambiguity). There are a bunch of slash commands available. You can use them in conjunction with referencing the chat participant to provide the desired scope. Some of the commands are: /help: Help with available slash commands, chat participants, chat variables, and more. /help : Help with available slash commands, chat participants, chat variables, and more. /help /doc: Generate documentation for the code. /doc : Generate documentation for the code. /doc /explain: Explain how the code works (or get help with terminal commands if you prepend @terminal). /explain : Explain how the code works (or get help with terminal commands if you prepend @terminal). /explain /fix: Optimize and/or fix issues in the code. /fix : Optimize and/or fix issues in the code. /fix /tests: Create unit tests for the code. /tests : Create unit tests for the code. /tests /new: Scaffold a new workspace. /new : Scaffold a new workspace. /new Example: Let’s get an explanation for one of the regular expressions in our code. Select the code line, and use the slash command “/explain. Example: Let’s get an explanation for one of the regular expressions in our code. Select the code line, and use the slash command “ /explain . Example: Let’s get an explanation for one of the regular expressions in our code. Select the code line, and use the slash command “ /explain Productivity hint: Try GitHub Copilot Chat in inline mode instead of having the chat always open in the side pane. Press Ctrl-I (Cmd-I) and type your message in the small overlay dialog that appears right above the line where your cursor is in the code window. Productivity hint: Try GitHub Copilot Chat in inline mode instead of having the chat always open in the side pane. Press Ctrl-I (Cmd-I) and type your message in the small overlay dialog that appears right above the line where your cursor is in the code window. Summary Use chat participants, chat variables, and slash commands to maintain full control over the conversation context, ensure correct and consistent understanding of your intentions, and ultimately chat and code faster! Start your free GitHub Copilot trial here: https://aka.ms/try-github-copilot https://aka.ms/try-github-copilot References https://github.blog/changelog/2024-01-30-code-faster-and-better-with-github-copilots-new-features-in-visual-studio/#slash-commands https://github.blog/changelog/2023-11-30-github-copilot-november-30th-update/ https://code.visualstudio.com/docs/copilot/copilot-chat#_chat-participants https://devblogs.microsoft.com/visualstudio/copilot-chat-slash-commands-and-context-variables/ https://code.visualstudio.com/updates/v1_85#_terminal-agent-and-command-suggestion-improvements https://code.visualstudio.com/updates/v1_84#_chat-agents https://github.blog/changelog/2024-01-30-code-faster-and-better-with-github-copilots-new-features-in-visual-studio/#slash-commands https://github.blog/changelog/2024-01-30-code-faster-and-better-with-github-copilots-new-features-in-visual-studio/#slash-commands https://github.blog/changelog/2024-01-30-code-faster-and-better-with-github-copilots-new-features-in-visual-studio/#slash-commands https://github.blog/changelog/2023-11-30-github-copilot-november-30th-update/ https://github.blog/changelog/2023-11-30-github-copilot-november-30th-update/ https://github.blog/changelog/2023-11-30-github-copilot-november-30th-update/ https://code.visualstudio.com/docs/copilot/copilot-chat#_chat-participants https://code.visualstudio.com/docs/copilot/copilot-chat#_chat-participants https://code.visualstudio.com/docs/copilot/copilot-chat#_chat-participants https://devblogs.microsoft.com/visualstudio/copilot-chat-slash-commands-and-context-variables/ https://devblogs.microsoft.com/visualstudio/copilot-chat-slash-commands-and-context-variables/ https://devblogs.microsoft.com/visualstudio/copilot-chat-slash-commands-and-context-variables/ https://code.visualstudio.com/updates/v1_85#_terminal-agent-and-command-suggestion-improvements https://code.visualstudio.com/updates/v1_85#_terminal-agent-and-command-suggestion-improvements https://code.visualstudio.com/updates/v1_85#_terminal-agent-and-command-suggestion-improvements https://code.visualstudio.com/updates/v1_84#_chat-agents https://code.visualstudio.com/updates/v1_84#_chat-agents https://code.visualstudio.com/updates/v1_84#_chat-agents

How to Leverage GitHub Copilot Chat Syntax: Chat Participants, Chat Variables, and Slash Commands

কিভাবে গিটহাব কপিলট চ্যাট সিনট্যাক্স ব্যবহার করবেন: চ্যাট অংশগ্রহণকারী, চ্যাট ভেরিয়েবল এবং স্ল্যাশ কমান্ড

So nutzen Sie die Chat-Syntax von GitHub Copilot: Chat-Teilnehmer, Chat-Variablen und Schrägstrichbefehle

Cómo aprovechar la sintaxis del chat de GitHub Copilot: participantes del chat, variables del chat y comandos de barra diagonal

Comment tirer parti de la syntaxe de discussion GitHub Copilot : participants au chat, variables de chat et commandes Slash

GitHub Copilot चैट सिंटैक्स का लाभ कैसे उठाएं: चैट प्रतिभागी, चैट वैरिएबल और स्लैश कमांड

GitHub Copilot チャット構文を活用する方法: チャット参加者、チャット変数、スラッシュコマンド

GitHub Copilot 채팅 구문을 활용하는 방법: 채팅 참가자, 채팅 변수 및 슬래시 명령

Como aproveitar a sintaxe de bate-papo do GitHub Copilot: participantes do bate-papo, variáveis de bate-papo e comandos de barra

Как использовать синтаксис чата GitHub Copilot: участники чата, переменные чата и команды слэша

GitHub Copilot Sohbet Sözdiziminden Nasıl Yararlanılır: Sohbet Katılımcıları, Sohbet Değişkenleri ve Eğik Çizgi Komutları

Cách tận dụng Cú pháp trò chuyện Copilot của GitHub: Người tham gia trò chuyện, Biến trò chuyện và Lệnh gạch chéo

如何利用 GitHub Copilot 聊天语法：聊天参与者、聊天变量和斜线命令

INSTRUMENTAL

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INSTRUMENTAL

instrumental.com

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