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To.day

today

Authors:
(1) Chengrun Yang, Google DeepMind and Equal contribution;
(2) Xuezhi Wang, Google DeepMind;
(3) Yifeng Lu, Google DeepMind;
(4) Hanxiao Liu, Google DeepMind;
(5) Quoc V. Le, Google DeepMind;
(6) Denny Zhou, Google DeepMind;
(7) Xinyun Chen, Google DeepMind and Equal contribution. Table of Links Abstract and 1. Introduction 2 Opro: Llm as the Optimizer and 2.1 Desirables of Optimization by Llms 2.2 Meta-Prompt Design 3 Motivating Example: Mathematical Optimization and 3.1 Linear Regression 3.2 Traveling Salesman Problem (TSP) 4 Application: Prompt Optimization and 4.1 Problem Setup 4.2 Meta-Prompt Design 5 Prompt Optimization Experiments and 5.1 Evaluation Setup 5.2 Main Results 5.3 Ablation Studies 5.4 Overfitting Analysis in Prompt Optimization and 5.5 Comparison with Evoprompt 6 Related Work 7 Conclusion, Acknowledgments and References A Some Failure Cases B Prompting Formats for Scorer Llm C Meta-Prompts and C.1 Meta-Prompt for Math Optimization C.2 Meta-Prompt for Prompt Optimization D Prompt Optimization Curves on the Remaining Bbh Tasks E Prompt Optimization on Bbh Tasks – Tabulated Accuracies and Found Instructions 6 RELATED WORK Prompt optimization. Prior works have developed soft prompt-tuning methods that optimize the prompt represented as task-specific continuous vectors (Lester et al., 2021; Li & Liang, 2021; Liu et al., 2021; Qin & Eisner, 2021), as well as performing discrete prompt optimization by gradient-guided search (Shin et al., 2020; Wen et al., 2023; Gao et al., 2020; Chen et al., 2023d) and reinforcement learning (Deng et al., 2022; Zhang et al., 2023). These approaches become inapplicable when there is only API access to the LLM. Other works designed edit-based approaches for gradient-free prompt optimization (Xu et al., 2022; Prasad et al., 2022), where the editing can be done with humandefined operations (e.g., swapping two phrases) (Prasad et al., 2022) or language models (e.g., back translation) (Xu et al., 2022). Some recent works investigate LLMs for prompt optimization (Zhou et al., 2022b; Pryzant et al., 2023; Xu et al., 2023). Specifically, APE (Zhou et al., 2022b) first uses the LLM to generate initial instructions. Afterwards, APE selects top instructions with the highest accuracies, then prompts the LLM with each individual instruction to generate a semantically similar variant of the initial instruction. APO (Pryzant et al., 2023) in each step instructs the LLM to produce text feedback on how to update an old instruction. Different from edit-based approaches, the optimizer LLM in our work directly generates new instructions at each optimization step, and the optimizer LLM is merely asked to improve the task accuracy without being required to imitate past instructions. Compared to Zhou et al. (2022b) and Pryzant et al. (2023), our optimization process incorporates the past generated instructions with their scores in the meta-prompt, enabling the optimizer LLM to discover common patterns of high-quality instructions. Prompting with natural language feedback. A recent line of work investigates approaches to improve the LLM performance by prompting with natural language feedback to revise the model output, which has shown effectiveness in reducing harmful LLM outputs (Bai et al., 2022; Ganguli et al., 2023), improving reasoning (Shinn et al., 2023; Madaan et al., 2023) and code generation performance (Chen et al., 2023e; Olausson et al., 2023; Shinn et al., 2023; Chen et al., 2023b), dialogue applications (Nair et al., 2023; Madaan et al., 2023; Yuan et al., 2023), and so on (Kim et al., 2023; Wang et al., 2023). Specifically, Yuan et al. (2023) develops a human-in-the-loop framework for deriving system-level feedback from a collection of instance-level feedback, which is then used for refining data. In our work, the optimizer LLM utilizes the optimization trajectory in the prompt, which implicitly requires the LLM to summarize the common characteristics among solutions with similar scores. We consider incorporating explicit natural language feedback on generated solutions for later optimization steps as future work. Tuning language models for optimization. Some previous works tune or prompt language models to behave as mutation and crossover operators in evolutionary algorithms. Meyerson et al. (2023) utilizes language models with few-shot exemplars to propose evolutionary cross-overs on tasks such as image and code generation. In Lehman et al. (2022), the large language model trained on code diff generation is used as the mutation operator, and they further design a fine-tuning method to improve performance in the Sodarace domain for robot simulation. EvoPrompting (Chen et al., 2023a) uses large language models to evolve neural network architectures, where they combine evolutionary search with soft prompt tuning. With respect to taking the trajectory as the input for optimization, OptFormer (Chen et al., 2022) trains a transformer model on large collections of hyperparameter optimization data. On the other hand, our work performs optimization solely by prompting without additional training. This paper is available on arxiv under CC0 1.0 DEED license. Authors: (1) Chengrun Yang, Google DeepMind and Equal contribution; (2) Xuezhi Wang, Google DeepMind; (3) Yifeng Lu, Google DeepMind; (4) Hanxiao Liu, Google DeepMind; (5) Quoc V. Le, Google DeepMind; (6) Denny Zhou, Google DeepMind; (7) Xinyun Chen, Google DeepMind and Equal contribution. Authors: Authors: (1) Chengrun Yang, Google DeepMind and Equal contribution; (2) Xuezhi Wang, Google DeepMind; (3) Yifeng Lu, Google DeepMind; (4) Hanxiao Liu, Google DeepMind; (5) Quoc V. Le, Google DeepMind; (6) Denny Zhou, Google DeepMind; (7) Xinyun Chen, Google DeepMind and Equal contribution. Table of Links Abstract and 1. Introduction Abstract and 1. Introduction 2 Opro: Llm as the Optimizer and 2.1 Desirables of Optimization by Llms 2 Opro: Llm as the Optimizer and 2.1 Desirables of Optimization by Llms 2.2 Meta-Prompt Design 2.2 Meta-Prompt Design 3 Motivating Example: Mathematical Optimization and 3.1 Linear Regression 3 Motivating Example: Mathematical Optimization and 3.1 Linear Regression 3.2 Traveling Salesman Problem (TSP) 3.2 Traveling Salesman Problem (TSP) 4 Application: Prompt Optimization and 4.1 Problem Setup 4 Application: Prompt Optimization and 4.1 Problem Setup 4.2 Meta-Prompt Design 4.2 Meta-Prompt Design 5 Prompt Optimization Experiments and 5.1 Evaluation Setup 5 Prompt Optimization Experiments and 5.1 Evaluation Setup 5.2 Main Results 5.2 Main Results 5.3 Ablation Studies 5.3 Ablation Studies 5.4 Overfitting Analysis in Prompt Optimization and 5.5 Comparison with Evoprompt 5.4 Overfitting Analysis in Prompt Optimization and 5.5 Comparison with Evoprompt 6 Related Work 6 Related Work 7 Conclusion, Acknowledgments and References 7 Conclusion, Acknowledgments and References A Some Failure Cases A Some Failure Cases B Prompting Formats for Scorer Llm B Prompting Formats for Scorer Llm C Meta-Prompts and C.1 Meta-Prompt for Math Optimization C Meta-Prompts and C.1 Meta-Prompt for Math Optimization C.2 Meta-Prompt for Prompt Optimization C.2 Meta-Prompt for Prompt Optimization D Prompt Optimization Curves on the Remaining Bbh Tasks D Prompt Optimization Curves on the Remaining Bbh Tasks E Prompt Optimization on Bbh Tasks – Tabulated Accuracies and Found Instructions E Prompt Optimization on Bbh Tasks – Tabulated Accuracies and Found Instructions 6 RELATED WORK Prompt optimization. Prior works have developed soft prompt-tuning methods that optimize the prompt represented as task-specific continuous vectors (Lester et al., 2021; Li & Liang, 2021; Liu et al., 2021; Qin & Eisner, 2021), as well as performing discrete prompt optimization by gradient-guided search (Shin et al., 2020; Wen et al., 2023; Gao et al., 2020; Chen et al., 2023d) and reinforcement learning (Deng et al., 2022; Zhang et al., 2023). These approaches become inapplicable when there is only API access to the LLM. Other works designed edit-based approaches for gradient-free prompt optimization (Xu et al., 2022; Prasad et al., 2022), where the editing can be done with humandefined operations (e.g., swapping two phrases) (Prasad et al., 2022) or language models (e.g., back translation) (Xu et al., 2022). Some recent works investigate LLMs for prompt optimization (Zhou et al., 2022b; Pryzant et al., 2023; Xu et al., 2023). Specifically, APE (Zhou et al., 2022b) first uses the LLM to generate initial instructions. Afterwards, APE selects top instructions with the highest accuracies, then prompts the LLM with each individual instruction to generate a semantically similar variant of the initial instruction. APO (Pryzant et al., 2023) in each step instructs the LLM to produce text feedback on how to update an old instruction. Different from edit-based approaches, the optimizer LLM in our work directly generates new instructions at each optimization step, and the optimizer LLM is merely asked to improve the task accuracy without being required to imitate past instructions. Compared to Zhou et al. (2022b) and Pryzant et al. (2023), our optimization process incorporates the past generated instructions with their scores in the meta-prompt, enabling the optimizer LLM to discover common patterns of high-quality instructions. Prompt optimization. Prompting with natural language feedback. A recent line of work investigates approaches to improve the LLM performance by prompting with natural language feedback to revise the model output, which has shown effectiveness in reducing harmful LLM outputs (Bai et al., 2022; Ganguli et al., 2023), improving reasoning (Shinn et al., 2023; Madaan et al., 2023) and code generation performance (Chen et al., 2023e; Olausson et al., 2023; Shinn et al., 2023; Chen et al., 2023b), dialogue applications (Nair et al., 2023; Madaan et al., 2023; Yuan et al., 2023), and so on (Kim et al., 2023; Wang et al., 2023). Specifically, Yuan et al. (2023) develops a human-in-the-loop framework for deriving system-level feedback from a collection of instance-level feedback, which is then used for refining data. In our work, the optimizer LLM utilizes the optimization trajectory in the prompt, which implicitly requires the LLM to summarize the common characteristics among solutions with similar scores. We consider incorporating explicit natural language feedback on generated solutions for later optimization steps as future work. Prompting with natural language feedback. Tuning language models for optimization. Some previous works tune or prompt language models to behave as mutation and crossover operators in evolutionary algorithms. Meyerson et al. (2023) utilizes language models with few-shot exemplars to propose evolutionary cross-overs on tasks such as image and code generation. In Lehman et al. (2022), the large language model trained on code diff generation is used as the mutation operator, and they further design a fine-tuning method to improve performance in the Sodarace domain for robot simulation. EvoPrompting (Chen et al., 2023a) uses large language models to evolve neural network architectures, where they combine evolutionary search with soft prompt tuning. With respect to taking the trajectory as the input for optimization, OptFormer (Chen et al., 2022) trains a transformer model on large collections of hyperparameter optimization data. On the other hand, our work performs optimization solely by prompting without additional training. Tuning language models for optimization. This paper is available on arxiv under CC0 1.0 DEED license. This paper is available on arxiv under CC0 1.0 DEED license. available on arxiv

Everything We Know About Prompt Optimization Today

Alles wat ons vandag weet oor vinnige optimalisering

Sve što danas znamo o brzoj optimizaciji

Vše, co dnes víme o rychlé optimalizaci

Todo lo que sabemos hoy sobre optimización rápida

プロンプト最適化について今日わかっていることすべて

Бүгүн биз тез оптималдаштыруу жөнүндө билебиз

Шуурхай оновчлолын талаар өнөөдөр бидний мэддэг бүх зүйл

Semua yang Kami Tahu Mengenai Pengoptimuman Segera Hari Ini

Allt vi vet om snabb optimering idag

Lahat ng Alam Namin Tungkol sa Mabilis na Pag-optimize Ngayon

Bugungi kunda tezkor optimallashtirish haqida biz bilgan hamma narsa

我们今天所知道的关于快速优化的一切

There’s something magical about vintage video games. They transport us back to simpler times when the thrill of a new game could keep us glued to the screen for hours. I remember saving up my money for what felt like an eternity to buy my first Sega. I was so jealous of my best friend who had one at his home and how he would practice to beat most of us in Street Fighter matches (he knew how to create fireballs via Yoga Flame). He would always initially win, and I felt like if I just got a little more time with his Sega, I would become a “champion” too. Finally, when I got my hands on my own Nintendo and later Sega, I was unstoppable. I became one of the highest-scoring players on all my friends' game boards. More importantly, it wasn’t just the thrill of winning; these games fueled my imagination. I later took to coding just to create some fun ones of my own. Here are my top vintage video games that are still worth playing today, not just for nostalgia, but because they are timeless classics that transport you to more light, fun, and creative times. 1. Super Mario Bros. (1985) The first time I played Super Mario Bros., I was at my cousin Benjamin’s house, and he had just gotten a Nintendo Entertainment. We sat cross-legged on the floor far too close to the TV, controllers in hand, staring in awe. The excitement of guiding Mario through the Mushroom Kingdom, dodging Goombas, and jumping on platforms was amazing. When Super Mario Bros. came out in 1985, it felt like a revolution. The level design was genius and the music was instantly iconic. Even today, Super Mario Bros. holds up because of its perfect blend of challenge and fun. The simplicity of the game design is its strength, and playing it now feels just as rewarding as it did back then. 2. Street Fighter II (1991) Street Fighter II was a game-changer and my all-time favorite (I think it was probably THE favorite game of all my friends as well). We would gather at the local arcade, pockets full of quarters, ready to duke it out (my choice was always Chun-Li because, with her kicks, I could beat almost any challenger). The competitive aspect of the game was intense and thrilling. I spent countless hours learning combos and later perfecting my Hadouken, trying to be the best. Today, Street Fighter II still shines because of its deep mechanics and balanced gameplay. The graphics and character animations were ahead of their time and still look great, and to this day, I appreciate the skill and the strategy involved. 3. The Legend of Zelda (1986) The Legend of Zelda was my first real taste of adventure gaming. I remember the thrill of unwrapping it on my birthday and rushing to plug it into the console. Released in 1986, it was a groundbreaking game that offered a sense of exploration and discovery like no other; I can still recall the excitement of finding hidden caves and mastering the dungeons. The non-linear gameplay and intricate puzzles were what made it so great. From this (adult) perspective, the game feels so great because the design encourages curiosity and problem-solving, which are timeless aspects of great gameplay. 4. Pac-Man (1980) Pac-Man was a staple at every birthday party (probably for all the kids across the US and even the world at this time). I remember standing on a step stool to reach the controls, as I was too small when it first came out. The game's iconic sound effects and colorful graphics were mesmerizing for us, and what’s amazing is how well Pac-Man has aged! The gameplay is easy to pick up but hard to master, making it addictive for even my own kids today. It’s a perfect example of how a straightforward concept can provide endless entertainment. 5. Tetris (1984) The first time I played Tetris was when my older brother had brought home a Game Boy, and we huddled together, taking turns to see who could last the longest. Released in 1984, its concept of fitting falling blocks into rows was instantly great, and even to this day, it is so widely imitated. The music, especially the Russian folk tune, became iconic and got stuck in our heads for days. What makes Tetris timeless is its perfect balance of simplicity but also its complexity. The game continually challenges you to beat your previous high score, making it great as the first gaming competition amongst friends. Today, Tetris is just as engaging, showing us that the simplest ideas are the best. So, dust off that old console or find an emulator, and relive the classics— if you are anything like me, you won't be disappointed! For me, these games are such a cherished part of my past and a reminder of why the world of gaming is so wonderfully immersive and timeless! There’s something magical about vintage video games. They transport us back to simpler times when the thrill of a new game could keep us glued to the screen for hours. I remember saving up my money for what felt like an eternity to buy my first Sega. I was so jealous of my best friend who had one at his home and how he would practice to beat most of us in Street Fighter matches (he knew how to create fireballs via Yoga Flame). He would always initially win, and I felt like if I just got a little more time with his Sega, I would become a “champion” too. Finally, when I got my hands on my own Nintendo and later Sega, I was unstoppable. I became one of the highest-scoring players on all my friends' game boards. More importantly, it wasn’t just the thrill of winning; these games fueled my imagination. I later took to coding just to create some fun ones of my own. Here are my top vintage video games that are still worth playing today, not just for nostalgia, but because they are timeless classics that transport you to more light, fun, and creative times. 1. Super Mario Bros. (1985) Super Mario Bros. (1985) The first time I played Super Mario Bros. , I was at my cousin Benjamin’s house, and he had just gotten a Nintendo Entertainment. We sat cross-legged on the floor far too close to the TV, controllers in hand, staring in awe. The excitement of guiding Mario through the Mushroom Kingdom, dodging Goombas, and jumping on platforms was amazing. When Super Mario Bros. came out in 1985, it felt like a revolution. Super Mario Bros. Super Mario Bros. The level design was genius and the music was instantly iconic. Even today, Super Mario Bros. holds up because of its perfect blend of challenge and fun. The simplicity of the game design is its strength, and playing it now feels just as rewarding as it did back then. Super Mario Bros. 2. Street Fighter II (1991) Street Fighter II (1991) Street Fighter II was a game-changer and my all-time favorite (I think it was probably THE favorite game of all my friends as well). We would gather at the local arcade, pockets full of quarters, ready to duke it out (my choice was always Chun-Li because, with her kicks, I could beat almost any challenger). The competitive aspect of the game was intense and thrilling. I spent countless hours learning combos and later perfecting my Hadouken, trying to be the best. Street Fighter II Today, Street Fighter II still shines because of its deep mechanics and balanced gameplay. The graphics and character animations were ahead of their time and still look great, and to this day, I appreciate the skill and the strategy involved. Street Fighter II 3. The Legend of Zelda (1986) The Legend of Zelda (1986) The Legend of Zelda was my first real taste of adventure gaming. I remember the thrill of unwrapping it on my birthday and rushing to plug it into the console. Released in 1986, it was a groundbreaking game that offered a sense of exploration and discovery like no other; I can still recall the excitement of finding hidden caves and mastering the dungeons. The Legend of Zelda The non-linear gameplay and intricate puzzles were what made it so great. From this (adult) perspective, the game feels so great because the design encourages curiosity and problem-solving, which are timeless aspects of great gameplay. 4. Pac-Man (1980) Pac-Man was a staple at every birthday party (probably for all the kids across the US and even the world at this time). I remember standing on a step stool to reach the controls, as I was too small when it first came out. The game's iconic sound effects and colorful graphics were mesmerizing for us, and what’s amazing is how well Pac-Man has aged! Pac-Man Pac-Man The gameplay is easy to pick up but hard to master, making it addictive for even my own kids today. It’s a perfect example of how a straightforward concept can provide endless entertainment. 5. Tetris (1984) Tetris (1984) The first time I played Tetris was when my older brother had brought home a Game Boy, and we huddled together, taking turns to see who could last the longest. Released in 1984, its concept of fitting falling blocks into rows was instantly great, and even to this day, it is so widely imitated. The music, especially the Russian folk tune, became iconic and got stuck in our heads for days. What makes Tetris timeless is its perfect balance of simplicity but also its complexity. The game continually challenges you to beat your previous high score, making it great as the first gaming competition amongst friends. Today, Tetris is just as engaging, showing us that the simplest ideas are the best. Tetris Tetris So, dust off that old console or find an emulator, and relive the classics— if you are anything like me, you won't be disappointed! For me, these games are such a cherished part of my past and a reminder of why the world of gaming is so wonderfully immersive and timeless!

Most Popular Vintage Video Games and Why They Are Still Worth Playing Today

**SINGAPORE, Singapore, August 5th, 2024/Chainwire/--**Hybrid cryptocurrency exchange GRVT (pronounced “gravity”), ZKsync’s first official Validium ZK Chain, launches its Open Beta Testnet today. After months of anticipation, the 2.5 million waitlisted testers can now experience GRVT’s cutting-edge features. Blending the strengths of both CEXs and DEXs, GRVT empowers users with self-custody of their assets and offers off-chain order matching combined with on-chain settlements at an impressive 600,000 transactions per second (TPS). This unique model ensures that transactions benefit from the speed of off-chain processes, while all asset settlements remain secure and verifiable on the blockchain. To celebrate the Open Beta Testnet launch, GRVT offers exclusive rewards to early participants: Be among the first 30,000 users to complete KYC verification and win from a pool of 2.4 million $ZK tokens and 600,000 raffle tickets.


Claim raffle tickets immediately upon verification.


To claim $ZK tokens, participate on Mainnet Day 1 (more details about Mainnet will be announced later). “GRVT aims to revolutionize financial markets by integrating blockchain technology and self-custody solutions into both TradFi and DeFi,” said Hong Yea, Co-Founder and CEO of GRVT. “We are thrilled to open our platform to the public. By applying blockchain settlement and trustless risk management to centralized order book infrastructure, GRVT is transforming trading and investment while upholding traditional security controls. I believe this approach, starting with crypto markets, can reshape the entire financial landscape.” GRVT’s development is backed by Matter Labs, the creator of ZKsync, along with support from prominent industry partners and investors, including Delphi Ventures, Matrix Partners, Hack VC, ABCDE Capital and so on. For more information and to join the GRVT community, users can visit grvt.io. Disclaimer: Cryptocurrencies carry high risks. This content is not a distribution of, or an offer or solicitation to provide, financial services or products, nor a representation as to their suitability or legality for you. GRVT is not a regulated entity and your funds are not subject to regulatory protection. Before making any decision based on this content, please seek financial and legal advice, and carefully review our [Risk Disclosure and Disclaimer] in full. Singapore users: GRVT is not licensed, approved, authorised, designated, recognised, registered or otherwise regulated under any legislation administered by the Monetary Authority of Singapore ("MAS"). As such, users will not have the benefit of any regulatory safeguards imposed by the MAS. About GRVT GRVT (pronounced “gravity”) is a hybrid derivatives exchange enabling off-chain order matching and on-chain settlements at 600,000 TPS. Founded in 2022 and backed by Matter Labs, GRVT is ZKsync’s first official Validium ZK Chain. Our mission is to democratize the financial market with secure, self-custodial solutions, providing a safe, efficient and simple trading environment for everyone. GRVT official website For media inquiries, contact: press@grvt.io Social and Community: X | LinkedIn | Telegram | Discord Contact Reed Li GRVT press@grvt.io This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here. **SINGAPORE, Singapore, August 5th, 2024/Chainwire/--**Hybrid cryptocurrency exchange GRVT (pronounced “gravity”), ZKsync’s first official Validium ZK Chain, launches its Open Beta Testnet today. After months of anticipation, the 2.5 million waitlisted testers can now experience GRVT’s cutting-edge features. Blending the strengths of both CEXs and DEXs, GRVT empowers users with self-custody of their assets and offers off-chain order matching combined with on-chain settlements at an impressive 600,000 transactions per second (TPS). This unique model ensures that transactions benefit from the speed of off-chain processes, while all asset settlements remain secure and verifiable on the blockchain. To celebrate the Open Beta Testnet launch, GRVT offers exclusive rewards to early participants: Be among the first 30,000 users to complete KYC verification and win from a pool of 2.4 million $ZK tokens and 600,000 raffle tickets. Claim raffle tickets immediately upon verification. To claim $ZK tokens, participate on Mainnet Day 1 (more details about Mainnet will be announced later). Be among the first 30,000 users to complete KYC verification and win from a pool of 2.4 million $ZK tokens and 600,000 raffle tickets. Be among the first 30,000 users to complete KYC verification and win from a pool of 2.4 million $ZK tokens and 600,000 raffle tickets. Claim raffle tickets immediately upon verification. Claim raffle tickets immediately upon verification. To claim $ZK tokens, participate on Mainnet Day 1 (more details about Mainnet will be announced later). To claim $ZK tokens, participate on Mainnet Day 1 (more details about Mainnet will be announced later). “GRVT aims to revolutionize financial markets by integrating blockchain technology and self-custody solutions into both TradFi and DeFi,” said Hong Yea, Co-Founder and CEO of GRVT. “We are thrilled to open our platform to the public. By applying blockchain settlement and trustless risk management to centralized order book infrastructure, GRVT is transforming trading and investment while upholding traditional security controls. I believe this approach, starting with crypto markets, can reshape the entire financial landscape.” “GRVT aims to revolutionize financial markets by integrating blockchain technology and self-custody solutions into both TradFi and DeFi,” said Hong Yea, Co-Founder and CEO of GRVT. “We are thrilled to open our platform to the public. By applying blockchain settlement and trustless risk management to centralized order book infrastructure, GRVT is transforming trading and investment while upholding traditional security controls. I believe this approach, starting with crypto markets, can reshape the entire financial landscape.” GRVT’s development is backed by Matter Labs, the creator of ZKsync, along with support from prominent industry partners and investors, including Delphi Ventures, Matrix Partners, Hack VC, ABCDE Capital and so on. For more information and to join the GRVT community, users can visit grvt.io . grvt.io grvt.io Disclaimer: Cryptocurrencies carry high risks. This content is not a distribution of, or an offer or solicitation to provide, financial services or products, nor a representation as to their suitability or legality for you. GRVT is not a regulated entity and your funds are not subject to regulatory protection. Before making any decision based on this content, please seek financial and legal advice, and carefully review our [Risk Disclosure and Disclaimer] in full. Singapore users: GRVT is not licensed, approved, authorised, designated, recognised, registered or otherwise regulated under any legislation administered by the Monetary Authority of Singapore ("MAS"). As such, users will not have the benefit of any regulatory safeguards imposed by the MAS. About GRVT GRVT (pronounced “gravity”) is a hybrid derivatives exchange enabling off-chain order matching and on-chain settlements at 600,000 TPS. Founded in 2022 and backed by Matter Labs, GRVT is ZKsync’s first official Validium ZK Chain. Our mission is to democratize the financial market with secure, self-custodial solutions, providing a safe, efficient and simple trading environment for everyone. GRVT GRVT GRVT official website GRVT official website For media inquiries, contact: press@grvt.io press@grvt.io press@grvt.io Social and Community: X | LinkedIn | Telegram | Discord X X LinkedIn LinkedIn Telegram Telegram Discord Discord Contact Reed Li GRVT press@grvt.io This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here. This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here . here here

ZKsync-Powered GRVT’s Highly Anticipated Open Beta Goes Live Today

ZKsync-চালিত GRVT-এর উচ্চ প্রত্যাশিত ওপেন বিটা আজ লাইভ হয়

Die mit Spannung erwartete offene Betaversion von GRVT auf ZKsync-Basis geht heute online

La muy esperada beta abierta de GRVT impulsada por ZKsync se lanza hoy

La bêta ouverte très attendue de GRVT propulsée par ZKsync est lancée aujourd'hui

ZKsync-संचालित GRVT का बहुप्रतीक्षित ओपन बीटा आज लाइव हो गया

ZKsync 搭載 GRVT の待望のオープンベータが本日公開

ZKsync 기반 GRVT의 매우 기대되는 오픈 베타가 오늘 출시됩니다

O altamente antecipado beta aberto do GRVT com tecnologia ZKsync vai ao ar hoje

Долгожданная открытая бета-версия GRVT на базе ZKsync выходит сегодня

ZKsync Destekli GRVT'nin Merakla Beklenen Açık Betası Bugün Yayına Başlıyor

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Trump v. United States Court Filing, retrieved on July 1, 2024, is part of HackerNoon’s Legal PDF Series. You can jump to any part in this filing here. This part is 17 of 21. VII Today’s decision to grant former Presidents immunity for their official acts is deeply wrong. As troubling as this criminal immunity doctrine is in theory, the majority’s application of the doctrine to the indictment in this case is perhaps even more troubling. In the hands of the majority, this new official-acts immunity operates as a one-way ratchet. First, the majority declares all of the conduct involving the Justice Department and the Vice President to be official conduct, see ante, at 19–24, yet it refuses to designate any course of conduct alleged in the indictment as private, despite concessions from Trump’s counsel.[6] Trump’s counsel conceded, for example, that the allegation that Trump “turned to a private attorney who was willing to spread knowingly false claims of election fraud to spearhead his challenges to the election results” “sounds private.” Tr. of Oral Arg. 29. He likewise conceded that the allegation that Trump “conspired with another private attorney who caused the filing in court of a verification signed by [Trump] that contained false allegations to support a challenge” “sounds private.” Ibid.; see also id., at 36–37 (Trump’s counsel explaining that it is not “disputed” that such conduct is “unofficial”). Again, when asked about allegations that “[t]hree private actors . . . helped implement a plan to submit fraudulent slates of presidential electors to obstruct the certification proceeding, and [Trump] and a co-conspirator attorney directed that effort,” Trump’s counsel conceded the alleged conduct was “private.” Id., at 29–30. Only the majority thinks that organizing fraudulent slates of electors might qualify as an official act of the President, see ante, at 24–28, or at least an act so “interrelated” with other allegedly official acts that it might warrant protection, ante, at 28. If the majority’s sweeping conception of “official acts” has any real limits, the majority is unwilling to reveal them in today’s decision. Second, the majority designates certain conduct immune while refusing to recognize anything as prosecutable. It shields large swaths of conduct involving the Justice Department with immunity, see ante, at 19–21; see also Part V, supra, but it does not give an inch in the other direction. The majority admits that the Vice President’s responsibility “‘presiding over the Senate’” is “‘not an “executive branch” function,’” and it further admits that the President “plays no direct constitutional or statutory role” in the counting of electoral votes. Ante, at 23–24. Yet the majority refuses to conclude that Trump lacks immunity for his alleged attempts to “enlist the Vice President to use his ceremonial role at the January 6 certification proceeding to fraudulently alter the election results.” App. 187, Indictment ¶10(d). Instead, it worries that a prosecution for this conduct might make it harder for the President to use the Vice President “to advance [his] agenda in Congress.” Ante, at 24. Such a prosecution, according to the majority, “may well hinder the President’s ability to perform his constitutional functions.” Ibid. Whether a prosecution for this conduct warrants immunity should have been an easy question, but the majority turns it into a debatable one. Remarkably, the majority goes further and declines to deny immunity even for the allegations that Trump organized fraudulent elector slates, pressured States to subvert the legitimate election results, and exploited violence at the Capitol to influence the certification proceedings. It is not conceivable that a prosecution for these alleged efforts to overturn a Presidential election, whether labeled official or unofficial under the majority’s test, would pose any “‘dangers of intrusion on the authority and functions of the Executive Branch,’” ante, at 14, and the majority could have said as much. Instead, it perseverates on a threshold question that should be immaterial. Looking beyond the fate of this particular prosecution, the long-term consequences of today’s decision are stark. The Court effectively creates a law-free zone around the President, upsetting the status quo that has existed since the Founding. This new official-acts immunity now “lies about like a loaded weapon” for any President that wishes to place his own interests, his own political survival, or his own financial gain, above the interests of the Nation. Korematsu v. United States, 323 U. S. 214, 246 (1944) (Jackson, J., dissenting). The President of the United States is the most powerful person in the country, and possibly the world. When he uses his official powers in any way, under the majority’s reasoning, he now will be insulated from criminal prosecution. Orders the Navy’s Seal Team 6 to assassinate a political rival? Immune. Organizes a military coup to hold onto power? Immune. Takes a bribe in exchange for a pardon? Immune. Immune, immune, immune. Let the President violate the law, let him exploit the trappings of his office for personal gain, let him use his official power for evil ends. Because if he knew that he may one day face liability for breaking the law, he might not be as bold and fearless as we would like him to be. That is the majority’s message today. Even if these nightmare scenarios never play out, and I pray they never do, the damage has been done. The relationship between the President and the people he serves has shifted irrevocably. In every use of official power, the President is now a king above the law. * * * The majority’s single-minded fixation on the President’s need for boldness and dispatch ignores the countervailing need for accountability and restraint. The Framers were not so single-minded. In the Federalist Papers, after “endeavor[ing] to show” that the Executive designed by the Constitution “combines . . . all the requisites to energy,” Alexander Hamilton asked a separate, equally important question: “Does it also combine the requisites to safety, in a republican sense, a due dependence on the people, a due responsibility?” The Federalist No. 77, p. 507 (J. Harvard Library ed. 2009). The answer then was yes, based in part upon the President’s vulnerability to “prosecution in the common course of law.” Ibid. The answer after today is no. Never in the history of our Republic has a President had reason to believe that he would be immune from criminal prosecution if he used the trappings of his office to violate the criminal law. Moving forward, however, all former Presidents will be cloaked in such immunity. If the occupant of that office misuses official power for personal gain, the criminal law that the rest of us must abide will not provide a backstop. With fear for our democracy, I dissent. 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 July 1, 2024, supremecourt.gov 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. [6] The majority protests that it is “adher[ing] to time-tested practices” by “deciding what is required to dispose of this case and remanding” to lower courts to sort out the details. Ante, at 41. Yet it implicitly acknowledges that it reaches far beyond what any lower court considered or any party briefed by designating certain conduct official in the first instance. See ibid. (noting “the lack of factual analysis in the lower courts, and the lack of briefing on how to categorize the conduct alleged”). In reaching out to shield some conduct as official while refusing to recognize any conduct as unofficial, the majority engages in judicial activism, not judicial restraint. Trump v. United States Court Filing, retrieved on July 1, 2024, is part of HackerNoon’s Legal PDF Series. You can jump to any part in this filing here. This part is 17 of 21. Trump v. United States Court Filing, retrieved on July 1, 2024, is part of HackerNoon’s Legal PDF Series . You can jump to any part in this filing here . This part is 17 of 21. HackerNoon’s Legal PDF Series here VII Today’s decision to grant former Presidents immunity for their official acts is deeply wrong. As troubling as this criminal immunity doctrine is in theory, the majority’s application of the doctrine to the indictment in this case is perhaps even more troubling. In the hands of the majority, this new official-acts immunity operates as a one-way ratchet. First, the majority declares all of the conduct involving the Justice Department and the Vice President to be official conduct, see ante, at 19–24, yet it refuses to designate any course of conduct alleged in the indictment as private, despite concessions from Trump’s counsel.[6] Trump’s counsel conceded, for example, that the allegation that Trump “turned to a private attorney who was willing to spread knowingly false claims of election fraud to spearhead his challenges to the election results” “sounds private.” Tr. of Oral Arg. 29. He likewise conceded that the allegation that Trump “conspired with another private attorney who caused the filing in court of a verification signed by [Trump] that contained false allegations to support a challenge” “sounds private.” Ibid.; see also id., at 36–37 (Trump’s counsel explaining that it is not “disputed” that such conduct is “unofficial”). Again, when asked about allegations that “[t]hree private actors . . . helped implement a plan to submit fraudulent slates of presidential electors to obstruct the certification proceeding, and [Trump] and a co-conspirator attorney directed that effort,” Trump’s counsel conceded the alleged conduct was “private.” Id., at 29–30. Only the majority thinks that organizing fraudulent slates of electors might qualify as an official act of the President, see ante, at 24–28, or at least an act so “interrelated” with other allegedly official acts that it might warrant protection, ante, at 28. If the majority’s sweeping conception of “official acts” has any real limits, the majority is unwilling to reveal them in today’s decision. Second, the majority designates certain conduct immune while refusing to recognize anything as prosecutable. It shields large swaths of conduct involving the Justice Department with immunity, see ante, at 19–21; see also Part V, supra, but it does not give an inch in the other direction. The majority admits that the Vice President’s responsibility “‘presiding over the Senate’” is “‘not an “executive branch” function,’” and it further admits that the President “plays no direct constitutional or statutory role” in the counting of electoral votes. Ante, at 23–24. Yet the majority refuses to conclude that Trump lacks immunity for his alleged attempts to “enlist the Vice President to use his ceremonial role at the January 6 certification proceeding to fraudulently alter the election results.” App. 187, Indictment ¶10(d). Instead, it worries that a prosecution for this conduct might make it harder for the President to use the Vice President “to advance [his] agenda in Congress.” Ante, at 24. Such a prosecution, according to the majority, “may well hinder the President’s ability to perform his constitutional functions.” Ibid. Whether a prosecution for this conduct warrants immunity should have been an easy question, but the majority turns it into a debatable one. Remarkably, the majority goes further and declines to deny immunity even for the allegations that Trump organized fraudulent elector slates, pressured States to subvert the legitimate election results, and exploited violence at the Capitol to influence the certification proceedings. It is not conceivable that a prosecution for these alleged efforts to overturn a Presidential election, whether labeled official or unofficial under the majority’s test, would pose any “‘dangers of intrusion on the authority and functions of the Executive Branch,’” ante, at 14, and the majority could have said as much. Instead, it perseverates on a threshold question that should be immaterial. Looking beyond the fate of this particular prosecution, the long-term consequences of today’s decision are stark. The Court effectively creates a law-free zone around the President, upsetting the status quo that has existed since the Founding. This new official-acts immunity now “lies about like a loaded weapon” for any President that wishes to place his own interests, his own political survival, or his own financial gain, above the interests of the Nation. Korematsu v. United States, 323 U. S. 214, 246 (1944) (Jackson, J., dissenting). The President of the United States is the most powerful person in the country, and possibly the world. When he uses his official powers in any way, under the majority’s reasoning, he now will be insulated from criminal prosecution. Orders the Navy’s Seal Team 6 to assassinate a political rival? Immune. Organizes a military coup to hold onto power? Immune. Takes a bribe in exchange for a pardon? Immune. Immune, immune, immune. Let the President violate the law, let him exploit the trappings of his office for personal gain, let him use his official power for evil ends. Because if he knew that he may one day face liability for breaking the law, he might not be as bold and fearless as we would like him to be. That is the majority’s message today. Even if these nightmare scenarios never play out, and I pray they never do, the damage has been done. The relationship between the President and the people he serves has shifted irrevocably. In every use of official power, the President is now a king above the law. * * * The majority’s single-minded fixation on the President’s need for boldness and dispatch ignores the countervailing need for accountability and restraint. The Framers were not so single-minded. In the Federalist Papers, after “endeavor[ing] to show” that the Executive designed by the Constitution “combines . . . all the requisites to energy,” Alexander Hamilton asked a separate, equally important question: “Does it also combine the requisites to safety, in a republican sense, a due dependence on the people, a due responsibility?” The Federalist No. 77, p. 507 (J. Harvard Library ed. 2009). The answer then was yes, based in part upon the President’s vulnerability to “prosecution in the common course of law.” Ibid. The answer after today is no. Never in the history of our Republic has a President had reason to believe that he would be immune from criminal prosecution if he used the trappings of his office to violate the criminal law. Moving forward, however, all former Presidents will be cloaked in such immunity. If the occupant of that office misuses official power for personal gain, the criminal law that the rest of us must abide will not provide a backstop. With fear for our democracy, I dissent. 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 July 1, 2024, supremecourt.gov 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 July 1, 2024, supremecourt.gov 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. supremecourt.gov [6] The majority protests that it is “adher[ing] to time-tested practices” by “deciding what is required to dispose of this case and remanding” to lower courts to sort out the details. Ante, at 41. Yet it implicitly acknowledges that it reaches far beyond what any lower court considered or any party briefed by designating certain conduct official in the first instance. See ibid. (noting “the lack of factual analysis in the lower courts, and the lack of briefing on how to categorize the conduct alleged”). In reaching out to shield some conduct as official while refusing to recognize any conduct as unofficial, the majority engages in judicial activism, not judicial restraint.

Justice Sotomayor on Trump v United States: Today's Decision... Is Deeply Wrong

Life in 2100 According to the Most Powerful AI Model Today

Why Self-Taught Skills Are the New MBA in Today's Economy

কেন স্ব-শিক্ষিত দক্ষতা আজকের অর্থনীতিতে নতুন এমবিএ

Warum autodidaktische Fähigkeiten in der heutigen Wirtschaft der neue MBA sind

Por qué las habilidades autodidactas son el nuevo MBA en la economía actual

Pourquoi les compétences autodidactes sont le nouveau MBA dans l'économie d'aujourd'hui

आज की अर्थव्यवस्था में स्व-शिक्षित कौशल क्यों नया एमबीए है?

今日の経済において独学のスキルが新しいMBAである理由

오늘날 경제에서 독학이 새로운 MBA인 이유

Por que as habilidades autodidatas são o novo MBA na economia atual

Почему навыки самообучения — это новый MBA в современной экономике

Neden Kendi Kendine Öğretilen Beceriler Günümüz Ekonomisinde Yeni MBA'dir?

Tại sao kỹ năng tự học là MBA mới trong nền kinh tế ngày nay

为什么自学技能是当今经济中的新 MBA

**GRUNDSHEIM, Germany, April 29th, 2024/Chainwire/--**Today marks an important date in the world of realistic simulation and virtual racing as Simugaze, the highly awaited cryptocurrency-powered ecosystem, officially launches. The SimuGaze ecosystem aims to transform the virtual gaming industry and realistic simulation by offering dynamic, immersive engagement to its users and investors and exciting rewards for racing enthusiasts worldwide. The SimuGaze ecosystem utilizes cutting-edge blockchain technology, ushering in a new era of gaming and Virtual space. In this era, gamers, whether professionals or casual, can engage in adrenaline-pumping racing events, challenge their co-players, and play multiplayer games. Driven by a passion for excellence and a commitment to pushing the boundaries and seeing what's possible beyond the limit, the SimuGaze team has spared no time and effort. They have successfully built an ecosystem that delivers unmatched excitement and utility. strategy rule. The SimuGaze has stunning graphics, realistic views, and a seamless gameplay experience, and it promises to transport players into a world where speed and strategy rule. SimuGaze is not only a virtual game but a thriving ecosystem powered by its native currency, SGAZE. Using blockchain technology, SimuGaze enables its investors to earn digital assets within the platform. Players can make custom skins for their vehicles, partake in various races, and collect rare digital collectibles.This platform offers players many opportunities to level up their speeding skills and financial portfolios. "We are thrilled and grateful to launch SimuGaze to the world," said the project's CEO. The team has dedicated countless hours to delivering unimaginable fun and entertainment to its users. In this virtual gaming world, players are not just participants but active stakeholders who have their voices heard through the platform's voting system. As SimuGaze goes live today, racing enthusiasts and crypto aficionados can look forward to an experience unlike any other. Whether a user is a seasoned gamer looking for their next challenge or a crypto enthusiast seeking innovative ways to engage with blockchain technology and diversify their portfolio, Simugaze invites the user to join the race and be part of gaming history. About Simugaze SimuGaze is a cryptocurrency-powered platform, the future of VR racing gaming, which uses cutting-edge blockchain technology with innovative blockchain technology. Using its native currency, SGAZE, it empowers investors and players to immerse in the thrilling experience while reshaping the future of the gaming industry. Blockchain technology enables players to earn and trade digital currency and assets within the platform, offering new avenues for economic empowerment and financial freedom. For more information, users can follow Simugaze on Twitter and join Simugaze's Telegram Contact Dennis Fuchs DennisFuchs111@gmail.com This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here. **GRUNDSHEIM, Germany, April 29th, 2024/Chainwire/--**Today marks an important date in the world of realistic simulation and virtual racing as Simugaze, the highly awaited cryptocurrency-powered ecosystem, officially launches. The SimuGaze ecosystem aims to transform the virtual gaming industry and realistic simulation by offering dynamic, immersive engagement to its users and investors and exciting rewards for racing enthusiasts worldwide. The SimuGaze ecosystem utilizes cutting-edge blockchain technology, ushering in a new era of gaming and Virtual space. In this era, gamers, whether professionals or casual, can engage in adrenaline-pumping racing events, challenge their co-players, and play multiplayer games. Driven by a passion for excellence and a commitment to pushing the boundaries and seeing what's possible beyond the limit, the SimuGaze team has spared no time and effort. They have successfully built an ecosystem that delivers unmatched excitement and utility. strategy rule. The SimuGaze has stunning graphics, realistic views, and a seamless gameplay experience, and it promises to transport players into a world where speed and strategy rule. SimuGaze is not only a virtual game but a thriving ecosystem powered by its native currency, SGAZE. Using blockchain technology, SimuGaze enables its investors to earn digital assets within the platform. Players can make custom skins for their vehicles, partake in various races, and collect rare digital collectibles.This platform offers players many opportunities to level up their speeding skills and financial portfolios. "We are thrilled and grateful to launch SimuGaze to the world," said the project's CEO. "We are thrilled and grateful to launch SimuGaze to the world," said the project's CEO. The team has dedicated countless hours to delivering unimaginable fun and entertainment to its users. In this virtual gaming world, players are not just participants but active stakeholders who have their voices heard through the platform's voting system. As SimuGaze goes live today, racing enthusiasts and crypto aficionados can look forward to an experience unlike any other. Whether a user is a seasoned gamer looking for their next challenge or a crypto enthusiast seeking innovative ways to engage with blockchain technology and diversify their portfolio, Simugaze invites the user to join the race and be part of gaming history. About Simugaze SimuGaze is a cryptocurrency-powered platform, the future of VR racing gaming, which uses cutting-edge blockchain technology with innovative blockchain technology. Using its native currency, SGAZE, it empowers investors and players to immerse in the thrilling experience while reshaping the future of the gaming industry. SimuGaze SimuGaze Blockchain technology enables players to earn and trade digital currency and assets within the platform, offering new avenues for economic empowerment and financial freedom. For more information, users can follow Simugaze on Twitter and join Simugaze's Telegram Twitter Twitter Telegram Telegram Contact Dennis Fuchs DennisFuchs111@gmail.com This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here. This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here. here. here.

The VR Project SimuGaze Presale Goes Live Today

The Noonification: We’ve Been Here Before: The Impacts of Today’s Age of AI (4/26/2024)

Accelerated employment. Wage gains. Faster investment, more information and notable gains in productivity. These were all hallmarks of the 1990s, a period that looms large in the memories of those who witnessed this time of innovation and skyrocketing long-term growth. New technologies, like computers and software, gave rise to a greater reliance and utilization of networking. The internet first flashed its true potential. Information was suddenly accessible and storing it became cheaper and cheaper. The combination of personal computing and the internet catalyzed massive changes to industry, trade, finance and services. The economic sluggishness of the 1970s and 1980s finally folded, as technology prospered, inflation fell and poverty gave way to job gains. History certainly harmonizes. In many ways, the 1990s are primed to rhyme with today’s gains in artificial intelligence. Like the entrepreneurs of the early-1990s, we’re standing at the outset of a period that will see massive growth, productivity gains and the rapid transformation of business, creativity and data utilization. Across industries and around the globe, the promises of AI are already apparent. What’s left to us, today, is to ensure that AI operates in collaboration with workers, complementing our abilities and allowing us to make the most of an exciting and singular period in our lives. When AI Booms, Businesses Benefit By the close of 2023, AI had been mentioned more than 30,000 times on earnings calls. Society seemed to embrace AI overnight. Machine learning, technology that was often used to automate routine processes, started giving way to generative AI, technology that outputs specialized knowledge work. Just as the internet democratized access to information, AI is democratizing the context and insights we obtain from data. That adds up to productivity enhancements and demand for new skills. Similarly to how familiarity with personal computers became an expectation for professionals in the 1990s, today’s employers and business owners are beginning to hire workers who know their way around AI. Early adopters are already pushing the boundaries of what’s possible — and acceptable — with AI-generated images, videos, briefs, reports and marketing material. Like any boom, the Age of AI needs an energy source. Data licensing, which provides firms with access to information, will be the in-demand raw material in the years to come. Entrepreneurs and executives are already aware of its potential: AI data licensing was valued at $203 million in Reddit’s recent IPO, for example. What Comes Next? The internet fundamentally changed our world in the 1990s. It changed the language we used, the way we interacted with one another and how we thought about the world. It changed the jobs we coveted and ways we studied. The same is happening today. AI is already leading to productivity gains, which in turn explains why the market is optimistic about stock prices and valuations. Inflation is coming down and output is on its way up. The prospects of high interest rates aren’t as intimidating today as they were two years ago, and the near-zero interest rates of March 2022 seem like ancient history. Cyclical sectors that benefit from a strong economy are outperforming defensive sectors and there’s an appetite for even the riskiest of corporate bonds. In the financial services sector, AI is already generating a positive impact. The disjointed client experiences of yesterday are giving way to smoother, more client-friendly portals, workflows and interactions. Most significantly, AI is enabling financial advisors to collect, organize and retain volumes of information that allow delivery of more targeted and relevant solutions. AI is also helping HR departments, back office personnel and technology vendors, leading to better client service and stronger adherence to rules and regulations, according to a recent report. AI isn’t all hype; it’s not something to be afraid of, either. Our AI Chapter Will be Long and Prosperous On a macro level, we should stand ready to capitalize on the collective benefits we’ll reap from our AI productivity boom. Remember the budget surpluses of the late-1990s? We, too, are poised at the edge of a period of growth. In the years ahead we’ll see lower core inflation, tracking at or below the Fed’s 2% target. We will also see improving corporate profits that will lead to higher equity valuations, enabling millions of investors to retire comfortably and creating a wealth effect that supports consumption, which accounts for 70% of economic activity. Perhaps most importantly, rising equity markets will generate capital gains tax revenue, meaning smaller deficits at both the federal and state level. This will support government spending without the need for tax increases, leading to widespread improvements including social security solvency along with critical investments in healthcare, defense, infrastructure and education. Capital market assumptions and portfolio construction are already changing in anticipation of this new reality. In part, AI is producing smarter investing, even as it brightens the overall economic picture in vivid detail. In the financial services sector, AI adds the most value when used as a collaborative tool within teams of experts. It’s not meant to replace us; rather it’s meant to enable, enliven and strengthen our decision making, the relationships we form and the world we are ambitiously building for tomorrow. We’re yet to see the full impact of AI across industries, but it’s already changing our lives for the better, in much the same way that the internet, mobile devices and mobile payments have in recent decades. Accelerated employment. Wage gains. Faster investment, more information and notable gains in productivity. These were all hallmarks of the 1990s, a period that looms large in the memories of those who witnessed this time of innovation and skyrocketing long-term growth. New technologies, like computers and software, gave rise to a greater reliance and utilization of networking. The internet first flashed its true potential. Information was suddenly accessible and storing it became cheaper and cheaper. The combination of personal computing and the internet catalyzed massive changes to industry, trade, finance and services. The economic sluggishness of the 1970s and 1980s finally folded, as technology prospered, inflation fell and poverty gave way to job gains. History certainly harmonizes. In many ways, the 1990s are primed to rhyme with today’s gains in artificial intelligence. Like the entrepreneurs of the early-1990s, we’re standing at the outset of a period that will see massive growth, productivity gains and the rapid transformation of business, creativity and data utilization. Across industries and around the globe, the promises of AI are already apparent. What’s left to us, today, is to ensure that AI operates in collaboration with workers, complementing our abilities and allowing us to make the most of an exciting and singular period in our lives. When AI Booms, Businesses Benefit When AI Booms, Businesses Benefit By the close of 2023, AI had been mentioned more than 30,000 times on earnings calls . Society seemed to embrace AI overnight. Machine learning, technology that was often used to automate routine processes, started giving way to generative AI, technology that outputs specialized knowledge work. Just as the internet democratized access to information, AI is democratizing the context and insights we obtain from data. 30,000 times on earnings calls on earnings calls access context and insights That adds up to productivity enhancements and demand for new skills. Similarly to how familiarity with personal computers became an expectation for professionals in the 1990s, today’s employers and business owners are beginning to hire workers who know their way around AI. Early adopters are already pushing the boundaries of what’s possible — and acceptable — with AI-generated images, videos, briefs, reports and marketing material. Like any boom, the Age of AI needs an energy source. Data licensing, which provides firms with access to information, will be the in-demand raw material in the years to come. Entrepreneurs and executives are already aware of its potential: AI data licensing was valued at $203 million in Reddit’s recent IPO, for example. What Comes Next? What Comes Next? The internet fundamentally changed our world in the 1990s. It changed the language we used, the way we interacted with one another and how we thought about the world. It changed the jobs we coveted and ways we studied. The same is happening today. AI is already leading to productivity gains, which in turn explains why the market is optimistic about stock prices and valuations. Inflation is coming down and output is on its way up. The prospects of high interest rates aren’t as intimidating today as they were two years ago, and the near-zero interest rates of March 2022 seem like ancient history. Cyclical sectors that benefit from a strong economy are outperforming defensive sectors and there’s an appetite for even the riskiest of corporate bonds. In the financial services sector, AI is already generating a positive impact. The disjointed client experiences of yesterday are giving way to smoother, more client-friendly portals, workflows and interactions. Most significantly, AI is enabling financial advisors to collect, organize and retain volumes of information that allow delivery of more targeted and relevant solutions. AI is also helping HR departments, back office personnel and technology vendors, leading to better client service and stronger adherence to rules and regulations, according to a recent report . AI isn’t all hype; it’s not something to be afraid of, either. a recent report a recent report Our AI Chapter Will be Long and Prosperous Our AI Chapter Will be Long and Prosperous On a macro level, we should stand ready to capitalize on the collective benefits we’ll reap from our AI productivity boom. Remember the budget surpluses of the late-1990s? We, too, are poised at the edge of a period of growth. In the years ahead we’ll see lower core inflation, tracking at or below the Fed’s 2% target. We will also see improving corporate profits that will lead to higher equity valuations, enabling millions of investors to retire comfortably and creating a wealth effect that supports consumption, which accounts for 70% of economic activity. Perhaps most importantly, rising equity markets will generate capital gains tax revenue, meaning smaller deficits at both the federal and state level. This will support government spending without the need for tax increases, leading to widespread improvements including social security solvency along with critical investments in healthcare, defense, infrastructure and education. Capital market assumptions and portfolio construction are already changing in anticipation of this new reality. In part, AI is producing smarter investing, even as it brightens the overall economic picture in vivid detail. In the financial services sector, AI adds the most value when used as a collaborative tool within teams of experts. It’s not meant to replace us; rather it’s meant to enable, enliven and strengthen our decision making, the relationships we form and the world we are ambitiously building for tomorrow. We’re yet to see the full impact of AI across industries, but it’s already changing our lives for the better, in much the same way that the internet, mobile devices and mobile payments have in recent decades.

We’ve Been Here Before: The Impacts of Today’s Age of AI

আমরা আগে এখানে এসেছি: আজকের এআই যুগের প্রভাব

Das haben wir schon einmal erlebt: Die Auswirkungen des heutigen Zeitalters der künstlichen Intelligenz

Ya hemos estado aquí antes: los impactos de la era actual de la IA

Nous sommes déjà venus ici : les impacts de l’ère actuelle de l’IA

हम पहले भी यहां आ चुके हैं: आज के एआई युग का प्रभाव

これまでにも同じようなことが起こっていた: 今日の AI 時代の影響

우리는 전에도 여기에 있었습니다: 오늘날 AI 시대의 영향

Já estivemos aqui antes: os impactos da era atual da IA

Мы были здесь раньше: влияние современной эпохи искусственного интеллекта

Daha Önce Buradaydık: Günümüzün Yapay Zeka Çağının Etkileri

Chúng tôi đã từng ở đây trước đây: Tác động của thời đại AI ngày nay

我们曾经经历过这样的事情：当今人工智能时代的影响

‘ai tools’ Image created by HackerNoon AI Image Generator Hey Hacker, Unless you’ve been living under a rock, you know that AI tools have been making some big waves, flooding the digital works with AI-generated content. Whether you’re an AI supporter or hater, you can’t deny it’s been helping us see the world from a different angle! Let’s cut to the chase: as OpenAI announces the arrival of GPT-4 and boasts about its ability to problem solve with greater accuracy, the HackerNoon community gets busy chatting about all things AI, such as programming tools, text processors, and AI applicationsin general. We're such nerds that we've even added a fancy new AI content detector to our editor🧐. As always, we’re excited to hear YOUR opinions on these topics. We know, writer’s block can catch even the best of us. So we put together some idea prompts to get you started on your next opinion piece: Will AI tools change the way educators evaluate student work? Do you think AI tools are ready to be used as educational resources? Share your thoughts here.


How do you think the big streamer services like YouTube and Netflix will be impacted by the new generative video tools? Write about it here.


AI-generated visual art often has a distinguishable appearance - will the art world designate a new classification to this type of art form? Tell us about it using this template.


Is Chat-GPT really gonna help you become a better programmer? Is AI even good at web development, or are people just delusional? Spill the tea here!


What new AI tools are you inspired by? Tell us about it here.
We can see the wheels turning already - click one of the links above and get writing!
Some Added Writing Tips to Make Your Stories Stand Out Like Skinny Jeans on a Millenial:

Check out the active writing contests and tag your story to win prizes 🥇
You can use AI tools, but disclose which sections were written this way 🦾

We KNOW you’re going to serve us some juicy gossip on these new technologies - can’t wait to spread it all over HackerNoon’s homepage!Happy writing,The HackerNoon Editorial Team ‘ai tools’ Image created by HackerNoon AI Image Generator ‘ai tools’ HackerNoon AI Image Generator Hey Hacker, Unless you’ve been living under a rock, you know that AI tools have been making some big waves, flooding the digital works with AI-generated content. Whether you’re an AI supporter or hater, you can’t deny it’s been helping us see the world from a different angle! Let’s cut to the chase: as OpenAI announces the arrival of GPT-4 and boasts about its ability to problem solve with greater accuracy, the HackerNoon community gets busy chatting about all things AI , such as programming tools , text processors , and AI applications in general. GPT-4 all things AI programming tools text processors AI applications We're such nerds that we've even added a fancy new AI content detector to our editor🧐. new AI content detector As always, we’re excited to hear YOUR opinions on these topics. We know, writer’s block can catch even the best of us. So we put together some idea prompts to get you started on your next opinion piece: As always, we’re excited to hear YOUR opinions on these topics. We know, writer’s block can catch even the best of us. So we put together some idea prompts to get you started on your next opinion piece: YOUR opinions Will AI tools change the way educators evaluate student work? Do you think AI tools are ready to be used as educational resources? Share your thoughts here. How do you think the big streamer services like YouTube and Netflix will be impacted by the new generative video tools? Write about it here. AI-generated visual art often has a distinguishable appearance - will the art world designate a new classification to this type of art form? Tell us about it using this template. Is Chat-GPT really gonna help you become a better programmer? Is AI even good at web development, or are people just delusional? Spill the tea here! What new AI tools are you inspired by? Tell us about it here.
We can see the wheels turning already - click one of the links above and get writing!
Some Added Writing Tips to Make Your Stories Stand Out Like Skinny Jeans on a Millenial:

Check out the active writing contests and tag your story to win prizes 🥇
You can use AI tools, but disclose which sections were written this way 🦾

We KNOW you’re going to serve us some juicy gossip on these new technologies - can’t wait to spread it all over HackerNoon’s homepage!Happy writing,The HackerNoon Editorial Team Will AI tools change the way educators evaluate student work? Do you think AI tools are ready to be used as educational resources? Share your thoughts here. Will AI tools change the way educators evaluate student work? Do you think AI tools are ready to be used as educational resources? Share your thoughts here . here How do you think the big streamer services like YouTube and Netflix will be impacted by the new generative video tools? Write about it here. How do you think the big streamer services like YouTube and Netflix will be impacted by the new generative video tools? Write about it here . here AI-generated visual art often has a distinguishable appearance - will the art world designate a new classification to this type of art form? Tell us about it using this template. AI-generated visual art often has a distinguishable appearance - will the art world designate a new classification to this type of art form? Tell us about it using this template . template Is Chat-GPT really gonna help you become a better programmer? Is AI even good at web development, or are people just delusional? Spill the tea here! Is Chat-GPT really gonna help you become a better programmer? Is AI even good at web development, or are people just delusional? Spill the tea here ! here What new AI tools are you inspired by? Tell us about it here. We can see the wheels turning already - click one of the links above and get writing! Some Added Writing Tips to Make Your Stories Stand Out Like Skinny Jeans on a Millenial: Check out the active writing contests and tag your story to win prizes 🥇
You can use AI tools, but disclose which sections were written this way 🦾 We KNOW you’re going to serve us some juicy gossip on these new technologies - can’t wait to spread it all over HackerNoon’s homepage! Happy writing, The HackerNoon Editorial Team What new AI tools are you inspired by? Tell us about it here . here We can see the wheels turning already - click one of the links above and get writing! Some Added Writing Tips to Make Your Stories Stand Out Like Skinny Jeans on a Millenial: Check out the active writing contests and tag your story to win prizes 🥇 You can use AI tools, but disclose which sections were written this way 🦾 Check out the active writing contests and tag your story to win prizes 🥇 writing contests You can use AI tools, but disclose which sections were written this way 🦾 We KNOW you’re going to serve us some juicy gossip on these new technologies - can’t wait to spread it all over HackerNoon’s homepage! Happy writing, The HackerNoon Editorial Team

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