Operoute

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Simplifying AI Development Are you tired of juggling multiple AI API keys across different AI platforms? What if I told you that you only need three API keys to access most of the AI capabilities you’ll ever need? Let me show you how to streamline your AI development process. The API Key Challenge Every developer’s journey into AI typically starts the same way: signing up for an OpenAI account. Getting that first AI API key. Building an initial prototype. You expand your horizons and experiment with different providers. New account, new api key, new billing information. After 2 months, you got an account on 10 different provider. Separate accounts, different billing systems, and various AI API keysmake organization a nightmare. Let’s end this! Here are 3 AI service providers, that give you the more models than Hugh Hefner for your AI API key. The Three Keys to Freedom 1. OpenRouter: One Key for All Language Models OpenRouter is your gateway to over 200 different language models.  Think of it as a universal aggregator for AI models. With just one API key, you get access to: Popular closed-source models (OpenAI, Google Gemini, Anthropic)
Open-source models (Llama, Qwen)
The latest models as they’re released OpenRouter charges you like most other LLM providers: per token. Top up the account with as little as 5$, which will bring you very far for  prototyping. Pro Tip: OpenRouter even allows you to pay in crypto if that’s your thing! 2. Replicate: Your Swiss Army Knife for AI Models Replicate takes a different approach by offering a platform where: Access a wide range of GenAI models (not only LLMs)


Use simple endpoints for inference


Deploy your own models seamlessly


Popular models hosted on Replicate include:

Image generation series “Flux” by German Black Forest Labs
The (imo best) image generation model ideogram-v2
Vision LLM llava-mistral While OpenRouter charges per token, Replicate charges per second of  GPU runtime. This is a bit tricky, but fair. Stronger GPUs cost more per second, but need less time running an AI model. Weaker GPUs are  cheaper, but need more time. 3. Hugging Face: The GitHub of Machine Learning The final piece of the puzzle is Hugging Face, which offers: Access to extensive datasets
Model weights
GitHub-style discussions
A community-driven approach to machine learning OpenRouter and Replicate focus on AI model inference. HuggingFace focuses on AI model development. So the first two platforms are for people that want to build on top of models. HuggingFace is more for Machine Learning devs that want to adapt  the actual models. Real-World Application Here’s a real scenario: Imagine discovering a new language model you want to test. Before you had to go through the hassle of creating new accounts and managing another AI API key. Now you can simply use your OpenRouter API key and start experimenting immediately. No new accounts, no waiting for approvals from your boss, just pure innovation 😇. Getting Started Ready to simplify your AI development? Here’s how: Visit openrouter.ai to get your first unified LLM API key
Head to replicate.com for your GenAI needs
Create an account on huggingface.co for access to the ML community Why This Matters By consolidating your AI development around these three key platforms, you can: Reduce administrative overhead
Speed up experimentation
Simplify billing and accounting
Stay agile in the fast-moving AI landscape Remember, in the world of AI development, simplicity is key. These three AI API keys give you the power to focus on what matters most: building amazing AI applications. Simplifying AI Development Are you tired of juggling multiple AI API keys across different AI platforms? What if I told you that you only need three API keys to access most of the AI capabilities you’ll ever need? Let me show you how to streamline your AI development process. three API keys The API Key Challenge Every developer’s journey into AI typically starts the same way: signing up for an OpenAI account. Getting that first AI API key. Building an initial prototype. You expand your horizons and experiment with different providers. New account, new api key, new billing information. After 2 months, you got an account on 10 different provider. Separate accounts, different billing systems, and various AI API keys make organization a nightmare . make organization a nightmare Let’s end this! Here are 3 AI service providers, that give you the more models than Hugh Hefner for your AI API key. The Three Keys to Freedom 1. OpenRouter: One Key for All Language Models OpenRouter is your gateway to over 200 different language models.  Think of it as a universal aggregator for AI models. With just one API key , you get access to: one API key Popular closed-source models (OpenAI, Google Gemini, Anthropic) Open-source models (Llama, Qwen) The latest models as they’re released Popular closed-source models (OpenAI, Google Gemini, Anthropic) Open-source models (Llama, Qwen) The latest models as they’re released OpenRouter charges you like most other LLM providers: per token. Top up the account with as little as 5$, which will bring you very far for  prototyping. Pro Tip : OpenRouter even allows you to pay in crypto if that’s your thing! Pro Tip 2. Replicate: Your Swiss Army Knife for AI Models Replicate takes a different approach by offering a platform where: Access a wide range of GenAI models (not only LLMs) Use simple endpoints for inference Deploy your own models seamlessly Popular models hosted on Replicate include:

Image generation series “Flux” by German Black Forest Labs
The (imo best) image generation model ideogram-v2
Vision LLM llava-mistral Access a wide range of GenAI models (not only LLMs) Access a wide range of GenAI models (not only LLMs) Use simple endpoints for inference Use simple endpoints for inference Deploy your own models seamlessly Deploy your own models seamlessly Popular models hosted on Replicate include: Image generation series “Flux” by German Black Forest Labs
The (imo best) image generation model ideogram-v2
Vision LLM llava-mistral Popular models hosted on Replicate include: Image generation series “Flux” by German Black Forest Labs The (imo best) image generation model ideogram-v2 Vision LLM llava-mistral Image generation series “ Flux” by German Black Forest Labs Flux” by German Black Forest Labs The (imo best) image generation model ideogram-v2 ideogram-v2 Vision LLM llava-mistral llava-mistral While OpenRouter charges per token, Replicate charges per second of  GPU runtime. This is a bit tricky, but fair. Stronger GPUs cost more per second, but need less time running an AI model. Weaker GPUs are  cheaper, but need more time. 3. Hugging Face: The GitHub of Machine Learning The final piece of the puzzle is Hugging Face, which offers: Access to extensive datasets Model weights GitHub-style discussions A community-driven approach to machine learning Access to extensive datasets Model weights GitHub-style discussions A community-driven approach to machine learning OpenRouter and Replicate focus on AI model inference . inference HuggingFace focuses on AI model development . development So the first two platforms are for people that want to build on top of models. HuggingFace is more for Machine Learning devs that want to adapt  the actual models. Real-World Application Here’s a real scenario: Imagine discovering a new language model you want to test. Before you had to go through the hassle of creating new accounts and managing another AI API key. Now you can simply use your OpenRouter API key and start experimenting immediately. No new accounts, no waiting for approvals from your boss, just pure innovation 😇. 😇. Getting Started Ready to simplify your AI development? Here’s how: Visit openrouter.ai to get your first unified LLM API key Head to replicate.com for your GenAI needs Create an account on huggingface.co for access to the ML community Visit openrouter.ai to get your first unified LLM API key openrouter.ai Head to replicate.com for your GenAI needs replicate.com Create an account on huggingface.co for access to the ML community huggingface.co Why This Matters By consolidating your AI development around these three key platforms, you can: Reduce administrative overhead Speed up experimentation Simplify billing and accounting Stay agile in the fast-moving AI landscape Reduce administrative overhead Reduce administrative overhead Speed up experimentation Speed up experimentation Simplify billing and accounting Simplify billing and accounting Stay agile in the fast-moving AI landscape Stay agile in the fast-moving AI landscape Remember, in the world of AI development , simplicity is key. in the world of AI development These three AI API keys give you the power to focus on what matters most: building amazing AI applications.

Three Sexy AI API Keys to Access More Models than Hugh Hefner

Hugh Hefnerdən daha çox modelə daxil olmaq üçün üç seksual AI API açarı

হিউ হেফনারের চেয়ে বেশি মডেল অ্যাক্সেস করার জন্য তিনটি সেক্সি AI API কী৷

Tre sexede AI API-nøgler for at få adgang til flere modeller end Hugh Hefner

Tres claves API de inteligencia artificial atractivas para acceder a más modelos que Hugh Hefner

Tres claves sexy da API de IA para acceder a máis modelos que Hugh Hefner

Twa Sexy AI API kle pou jwenn plis modèl pase Hugh Hefner

Tre chiavi API AI sexy per accedere a più modelli di Hugh Hefner

ヒュー・ヘフナーより多くのモデルにアクセスできる 3 つのセクシーな AI API キー

Trzy seksowne klucze API AI umożliwiające dostęp do większej liczby modeli niż Hugh Hefner

Hugh Hefner-den has köp modele girmek üçin üç sany seksi AI API açary

Ba khóa API AI hấp dẫn để truy cập nhiều người mẫu hơn Hugh Hefner

三个性感的 AI API 密钥可访问比休·海夫纳 (Hugh Hefner) 更多的模型

11 Best AI Chat Tools for Developers in 2024

RAND Suggests Metaverses Could Operate as Modern Societal States

RAND পরামর্শ দেয় মেটাভার্স আধুনিক সামাজিক রাষ্ট্র হিসাবে কাজ করতে পারে

RAND schlägt vor, Metaversen könnten als moderne Gesellschaftsstaaten funktionieren

RAND sugiere que los metaversos podrían funcionar como estados sociales modernos

RAND suggère que les métavers pourraient fonctionner comme des États sociétaux modernes

RAND का सुझाव है कि मेटावर्स आधुनिक सामाजिक राज्यों के रूप में काम कर सकते हैं

RANDはメタバースが現代の社会国家として機能する可能性を示唆

RAND는 메타버스가 현대 사회 국가로 작동할 수 있다고 제안합니다.

RAND sugere que metaversos poderiam operar como estados sociais modernos

RAND предполагает, что метавселенные могут функционировать как современные социальные состояния

RAND, Meta Veri Dizilerinin Modern Toplumsal Durumlar Olarak İşleyebileceğini Öneriyor

RAND đề xuất Metaverses có thể hoạt động như các quốc gia xã hội hiện đại

兰德公司认为元宇宙可以像现代社会国家一样运作

Nexo, a digital assets platform managing over $7 billion in assets, has launched an AI-powered news digest within its application, marking a strategic shift toward automated intelligence in wealth management. The platform, which has processed $320 billion in transactions since 2018, aims to enhance user decision-making through personalized news curation. The news feed analyzes vast amounts of cryptocurrency market data to deliver targeted updates based on users' specific portfolio holdings. This system integrates with Nexo's existing market data infrastructure, providing contextualized information alongside asset performance metrics in the platform's Markets and News section. From a technical perspective, the AI system filters and condenses cryptocurrency news into concise summaries, prioritizing time-sensitive information relevant to users' holdings. This automated approach represents an evolution in how digital asset platforms deliver market intelligence to retail investors. The implementation aligns with broader industry trends toward AI integration in financial services. As digital asset markets operate continuously, the ability to process and deliver real-time information becomes increasingly crucial for risk management and investment decisions. The platform's reach extends across more than 200 jurisdictions, where it provides services including crypto-backed loans, trading tools, and a crypto-linked debit card. This broad operational scope underscores the potential impact of AI-driven information delivery on global digital asset management practices. However, Nexo acknowledges the limitations of AI-generated content, including potential inaccuracies. The platform maintains a disclaimer regarding AI-generated responses, reflecting ongoing discussions about reliability and responsibility in automated financial information systems. This development occurs as digital asset platforms seek to differentiate their services through technological innovation. Nexo's approach suggests a growing recognition of AI's role in democratizing access to sophisticated market analysis tools previously available primarily to institutional investors. The integration of AI-powered news features represents an intersection of two significant trends in financial technology: the growing complexity of digital asset markets and the increasing capability of artificial intelligence to process and present financial information in accessible formats. Don’t forget to like and share the story! Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR Nexo , a digital assets platform managing over $7 billion in assets, has launched an AI-powered news digest within its application, marking a strategic shift toward automated intelligence in wealth management. The platform, which has processed $320 billion in transactions since 2018, aims to enhance user decision-making through personalized news curation. Nexo The news feed analyzes vast amounts of cryptocurrency market data to deliver targeted updates based on users' specific portfolio holdings. This system integrates with Nexo's existing market data infrastructure, providing contextualized information alongside asset performance metrics in the platform's Markets and News section. From a technical perspective, the AI system filters and condenses cryptocurrency news into concise summaries, prioritizing time-sensitive information relevant to users' holdings. This automated approach represents an evolution in how digital asset platforms deliver market intelligence to retail investors. The implementation aligns with broader industry trends toward AI integration in financial services. As digital asset markets operate continuously, the ability to process and deliver real-time information becomes increasingly crucial for risk management and investment decisions. The platform's reach extends across more than 200 jurisdictions, where it provides services including crypto-backed loans, trading tools, and a crypto-linked debit card. This broad operational scope underscores the potential impact of AI-driven information delivery on global digital asset management practices. However, Nexo acknowledges the limitations of AI-generated content, including potential inaccuracies. The platform maintains a disclaimer regarding AI-generated responses, reflecting ongoing discussions about reliability and responsibility in automated financial information systems. This development occurs as digital asset platforms seek to differentiate their services through technological innovation. Nexo's approach suggests a growing recognition of AI's role in democratizing access to sophisticated market analysis tools previously available primarily to institutional investors. The integration of AI-powered news features represents an intersection of two significant trends in financial technology: the growing complexity of digital asset markets and the increasing capability of artificial intelligence to process and present financial information in accessible formats. Don’t forget to like and share the story! Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program . HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR Vested Interest Disclosure: business blogging program business blogging program

Nexo Integrates AI-Powered News Feed to Transform Digital Asset Management

Nexo integrerer AI-drevet nyhedsfeed for at transformere Digital Asset Management

Το Nexo ενσωματώνει τις ειδήσεις με τεχνητή νοημοσύνη για να μεταμορφώσει τη διαχείριση ψηφιακών περιουσιακών στοιχείων

Nexo integra un servicio de noticias basado en inteligencia artificial para transformar la gestión de activos digitales

Nexo intègre un flux d'actualités alimenté par l'IA pour transformer la gestion des actifs numériques

Nexo integrira News Feed koji pokreće AI za transformaciju upravljanja digitalnom imovinom

Nexo integra il feed di notizie basato sull'intelligenza artificiale per trasformare la gestione delle risorse digitali

Nexo が AI を活用したニュースフィードを統合し、デジタル資産管理を変革

Nexo აერთიანებს AI-ზე მომუშავე სიახლეებს ციფრული აქტივების მართვის გარდაქმნისთვის

Nexo Esangisaka AI-Powered News Feed mpo na kobongola Gestion ya ba biens numériques

Nexo дижитал хөрөнгийн менежментийг өөрчлөхийн тулд хиймэл оюун ухаанаар ажилладаг мэдээний хангамжийг нэгтгэсэн

Nexo د ډیجیټل اثاثو مدیریت بدلولو لپاره د AI ځواک لرونکي نیوز فیډ مدغم کوي

Nexo ผสานรวมฟีดข่าวที่ขับเคลื่อนด้วย AI เพื่อเปลี่ยนแปลงการจัดการสินทรัพย์ดิจิทัล

At a time when decentralized finance seeks regulatory clarity, GRVT has launched a platform that bridges traditional compliance with blockchain innovation. The December 20, 2024 release of its Mainnet Alpha introduces a hybrid exchange that combines decentralized trading capabilities with centralized exchange features, achieving $15 million in transactions within its first hour of operation. This launch represents a shift in the DeFi landscape, where regulatory compliance and institutional participation converge with decentralized trading mechanisms. The trading activity comprised $8.7 million in Bitcoin transactions and $6.4 million in Ethereum trades. This volume emerged from a user base of 30,000 KYC-verified participants, representing a higher initial user count compared to industry counterparts at launch. The platform's institutional backing includes 55 clients and 17 market makers, who have committed to generate $4.2 billion in monthly trading volume. The current institutional trader roster includes QCP, Galaxy Trading Asia Limited, Ampersan, Arbelos, Amber Group, IMC, Flow Traders, Pulsar, and Selini. From a technical perspective, GRVT operates on a validium ZK Chain within the Elastic Network powered by ZKsync. This Layer 2 blockchain architecture enables Ethereum scaling while maintaining data privacy. The implementation delivers a processing capacity of 600,000 transactions per second through its hybrid model of off-chain order matching and on-chain settlements. The regulatory framework supporting GRVT includes a Class M Digital Asset Business License from the Bermuda Monetary Authority. This positions the platform as a regulated entity in the DEX space, though it operates independently from Singapore's Monetary Authority oversight. The platform introduces cross-chain functionality through Proxy Bridge, developed by XY Finance, enabling users to transfer assets between GRVT, CEX accounts, and crypto wallets. This implementation eliminates gas fees for cross-chain transactions from CEX to DEX. GRVT, established in 2022, enters the market as a hybrid derivatives platform. The launch represents a step toward creating a blockchain-based financial marketplace, focusing on institutional-grade infrastructure while maintaining accessibility for individual traders. For context, this development occurs during a period of increased regulatory scrutiny in the digital asset space, making GRVT's regulated status a notable factor in the evolving DeFi landscape. Users should note that cryptocurrency trading carries inherent risks, and GRVT's regulatory status varies by jurisdiction. Don’t forget to like and share the story! Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR At a time when decentralized finance seeks regulatory clarity, GRVT has launched a platform that bridges traditional compliance with blockchain innovation. The December 20, 2024 release of its Mainnet Alpha introduces a hybrid exchange that combines decentralized trading capabilities with centralized exchange features, achieving $15 million in transactions within its first hour of operation. GRVT This launch represents a shift in the DeFi landscape, where regulatory compliance and institutional participation converge with decentralized trading mechanisms. The trading activity comprised $8.7 million in Bitcoin transactions and $6.4 million in Ethereum trades. This volume emerged from a user base of 30,000 KYC-verified participants, representing a higher initial user count compared to industry counterparts at launch. The platform's institutional backing includes 55 clients and 17 market makers, who have committed to generate $4.2 billion in monthly trading volume. The current institutional trader roster includes QCP, Galaxy Trading Asia Limited, Ampersan, Arbelos, Amber Group, IMC, Flow Traders, Pulsar, and Selini. From a technical perspective, GRVT operates on a validium ZK Chain within the Elastic Network powered by ZKsync. This Layer 2 blockchain architecture enables Ethereum scaling while maintaining data privacy. The implementation delivers a processing capacity of 600,000 transactions per second through its hybrid model of off-chain order matching and on-chain settlements. The regulatory framework supporting GRVT includes a Class M Digital Asset Business License from the Bermuda Monetary Authority. This positions the platform as a regulated entity in the DEX space, though it operates independently from Singapore's Monetary Authority oversight. Class M Digital Asset Business License The platform introduces cross-chain functionality through Proxy Bridge, developed by XY Finance, enabling users to transfer assets between GRVT, CEX accounts, and crypto wallets. This implementation eliminates gas fees for cross-chain transactions from CEX to DEX. GRVT, established in 2022, enters the market as a hybrid derivatives platform. The launch represents a step toward creating a blockchain-based financial marketplace, focusing on institutional-grade infrastructure while maintaining accessibility for individual traders. For context, this development occurs during a period of increased regulatory scrutiny in the digital asset space, making GRVT's regulated status a notable factor in the evolving DeFi landscape. Users should note that cryptocurrency trading carries inherent risks, and GRVT's regulatory status varies by jurisdiction. Don’t forget to like and share the story! Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program . HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR Vested Interest Disclosure: business blogging program business blogging program

GRVT Launches First Regulated DEX, Records $15M Trading Volume in Initial Hour

Every AI Prediction That Came True in 2024—and the Ones That Didn't

Todas las predicciones de IA que se cumplieron en 2024 (y las que no)

Toutes les prédictions de l'IA qui se sont réalisées en 2024, et celles qui ne se sont pas réalisées

Todas as predicións da IA que se fixeron realidade en 2024 e as que non o fixeron

2024-ին իրականություն դարձած յուրաքանչյուր AI կանխատեսում, և նրանք, որոնք չեն իրականացել

כל תחזית AI שהתגשמה בשנת 2024 - ואלה שלא

2024 年に実現したすべての AI 予測と実現しなかった予測

ხელოვნური ინტელექტის ყველა პროგნოზი, რომელიც ახდა 2024 წელს და ის, რაც არ შესრულდა

រាល់ការទស្សន៍ទាយ AI ដែលបានក្លាយជាការពិតនៅឆ្នាំ 2024 ហើយអ្វីដែលមិនបានកើតឡើង

2024년에 실현된 모든 AI 예측과 실현되지 않은 예측

Wszystkie prognozy dotyczące sztucznej inteligencji, które spełniły się w 2024 r. — i te, które się nie spełniły

Todas as previsões de IA que se concretizaram em 2024 — e as que não se concretizaram

2024 දී සැබෑ වූ සෑම AI අනාවැකියක්ම - සහ නොකළ ඒවා

Building Automation That Works: Lessons from MVPs with LLMs by Aparimeya Taneja

Automatización de Edificios ukax irnaqañapawa: MVPs ukanakat yatichäwinak LLMs ukanakamp Aparimeya Taneja ukan qillqata

Automatizacija zgrada koja radi: lekcije MVP-a sa LLM-ima od Aparimeya Taneja

Automatización de edificios que funciona: lecciones de MVP con LLM por Aparimeya Taneja

אוטומציה של בניין שעובדת: שיעורים מ-MVPs עם LLMs מאת Aparimeya Taneja

効果的なビルディングオートメーション: LLM を取得した MVP からの教訓 (Aparimeya Taneja 著)

Fanamboarana automatique izay miasa: Lesona avy amin'ny MVP miaraka amin'ny LLM nataon'i Aparimeya Taneja

Kuvaka Automation Inoshanda: Zvidzidzo kubva kuMVPs neLLMs naAparimeya Taneja

வேலை செய்யும் பில்டிங் ஆட்டோமேஷன்: அபரிமேயா தனேஜாவின் LLMகளுடன் MVP களில் இருந்து பாடங்கள்

Автоматикунонии бино, ки кор мекунад: Дарсҳо аз MVPs бо LLMs аз ҷониби Апаримея Танежа

ዝሰርሕ ህንጻ ኣውቶማቲክ፡ ትምህርቲ ካብ MVPs ምስ LLMs ብኣፓሪሜያ ታነጃ

Işleýän gurluşyk awtomatizasiýasy: Aparimeya Tanejanyň LLM-leri bolan MVP-lerden sapaklar

Ku Aka Automation Leyi Tirhaka: Tidyondzo ku suka eka ti-MVP leti nga na ti-LLM hi Aparimeya Taneja

As Donald Trump prepares to take office, America’s artificial intelligence (AI) policy stands at a crucial turning point, sparking debates about the future of AI development and regulation. His victory as the 47th president has already earned congratulations from tech giants like Jeff Bezos and ignited discussions about potentially giving Elon Musk a significant role in shaping the country’s AI policies moving forward. Trump has vowed to reverse many of the AI executive orders put in place by the Biden administration, arguing that they "stifle AI innovation" and push "radical left-wing ideas" onto the development of the technology. Although it's unclear what the direct impact of this repeal will be, it signals a move toward deregulation. The rhetoric surrounding it is dividing opinions, turning AI policy into a partisan issue—although voters across party lines support balanced regulation. Industry experts, however, are concerned that cutting back regulation may jeopardize AI safety at a time when it’s needed most. “The U.S. must focus on a solid and efficient infrastructure that allows organizations evaluating AI systems and their deployment to publish credible and verifiable information about these systems, including their origins, training data, sensor data provenance, and any security incidents,” Dave Maher, CTO of Intertrust Technologies, told me. “These filters should enforce safeguards and test for violations of ethical principles, such as promoting or endorsing harmful behaviors like violence in an AI model’s outputs.” A New Direction: Rolling Back AI Regulation? Musk, who supported Trump throughout his campaign, has been appointed to lead the newly created Department of Government Efficiency (DOGE)—a role aimed at overhauling the nation’s regulatory framework. He’ll be working alongside entrepreneur and politician Vivek Ramaswamy in this ambitious effort. Meanwhile, Americans for Responsible Innovation (ARI), a nonprofit focused on promoting responsible AI development, has started a petition with a goal of 10,000 signatures, urging Trump to appoint Elon Musk as a special advisor on AI. The group argues that Musk’s deep technical expertise and outspoken commitment to AI safety make him the perfect person to lead the U.S. in this crucial tech race. “The U.S. should lead the world in advancing AI safely and securely. No one is better equipped to help the Trump Administration make America lead on AI than Elon Musk,” reads the petition page on ARI’s website. “With proper mechanisms in place to handle conflicts of interest, Musk would be an invaluable asset for helping the Trump administration navigate the development of this transformational technology. Help us tell President-Elect Trump to make Musk a Special Advisor to the President on AI.” Musk has long warned about AI’s existential risks and expressed concern over AI becoming too powerful too quickly. But critics aren’t convinced. Some remain skeptical about Musk’s role in shaping AI policy, pointing to his decision to distance himself from OpenAI, a company he helped create, as well as his outspoken opposition to AI regulations. “There’s no way for Elon Musk to be unbiased, just like there’s no such thing as a truly ‘unregulated market.’ The absence of regulation is, in itself, a form of regulation—one that gives big corporations free rein to push their own agendas,” Hamid Ekbia, Director of the Autonomous Systems Policy Institute (ASPI) and Professor at Syracuse University, told me. “When Musk talks about deregulating AI, what he’s after is the chance to outpace his competitors. That's why he and others tend to exaggerate the existential risks of AI.” China’s Growing AI Prowess Fuels U.S. Concerns The U.S. faces mounting competition from China, which has invested heavily in AI development intending to surpass America by 2030. The AI race has become a central issue in discussions on national security, with both Democrats and Republicans viewing AI technology as a crucial component in defense strategies. China’s lower labor costs and focus on model training give it an edge in the AI race. Trump’s administration will likely continue to tighten restrictions on Chinese access to advanced semiconductors, a strategy initiated during his first term and expanded under President Biden. Trump’s stance on AI has been erratic, often praising its potential while warning of its dangers. He said that the U.S. would require vast infrastructure upgrades for AI, particularly in energy and computing power, to ensure the U.S. maintains its lead over China. To secure America’s technological position, experts call for ambitious investments in AI infrastructure. A recent proposal from OpenAI suggests creating "National Transmission Highways" to modernize the power grid and meet AI’s immense energy demands, a plan that aligns with Trump’s vision of improving infrastructure. “AI can optimize energy distribution and usage through virtual power plants, which manage thousands of components involved in energy production, storage, and consumption,” added Maher. “However, this is only feasible with extensive automation and AI to support precise decision-making. AI safety and security will be crucial for such systems’ successful, large-scale deployment.” Future of AI Regulation: What’s at Stake? Despite widespread bipartisan support, the U.S. AI Safety Institute (AISI) —an organization created after Biden’s executive order to spearhead government efforts on AI safety—could face an uncertain future under President-elect Trump’s newly created DOGE. The department is expected to target federal programs for cuts, and AISI might be on the chopping block. However, tech leaders, lawmakers, and advocates are rallying for a more nuanced approach, arguing that safeguarding AI technology is critical to both national security and ethical progress. Moreover, AI companies like Leading OpenAI and Microsoft are vocal about the need for strong safeguards to maintain the U.S.’s position as a global leader in AI. “AI regulation has to start at the top,” Raj De Datta, CEO and co-founder of Bloomreach, shared with me. “A handful of companies dominate the AI market, and everyone else depends on their data centers or the models they produce. It’s vital that we start with these tech giants—ensuring they respect privacy, operate fairly, use diverse datasets, and uphold values we all agree on. That’s how we get the outcomes we want, the kind that benefit society.” But others, like Ekbia, caution that the current profit-driven approach of big tech companies is unlikely to prioritize the safety of their systems, let alone ethical or environmental concerns. He pointed to recent controversies at OpenAI as evidence that many tech companies put profit—their so-called "bottom line"—ahead of legal and ethical considerations. “How can we expect companies like Google, which has moved operations to tax havens like Ireland or the Cayman Islands, to act responsibly when it comes to developing AI?” he asks. The current situation underscores a key tension: balancing innovation with accountability. As Trump prepares to reshape U.S. AI policy, the industry faces a period of uncertainty. Whether his administration will accelerate or stifle innovation remains to be seen, but one thing is clear: the stakes for AI safety, security, and leadership are higher than ever before. As Donald Trump prepares to take office, America’s artificial intelligence (AI) policy stands at a crucial turning point, sparking debates about the future of AI development and regulation. His victory as the 47th president has already earned congratulations from tech giants like Jeff Bezos and ignited discussions about potentially giving Elon Musk a significant role in shaping the country’s AI policies moving forward. Trump has vowed to reverse many of the AI executive orders put in place by the Biden administration, arguing that they "stifle AI innovation" and push "radical left-wing ideas" onto the development of the technology. Although it's unclear what the direct impact of this repeal will be, it signals a move toward deregulation. As Donald Trump prepares to take office, America’s artificial intelligence (AI) policy stands at a crucial turning point, sparking debates about the future of AI development and regulation. His victory as the 47th president has already earned congratulations from tech giants like Jeff Bezos and ignited discussions about potentially giving Elon Musk a significant role in shaping the country’s AI policies moving forward. Trump has vowed to reverse many of the AI executive orders put in place by the Biden administration, arguing that they "stifle AI innovation" and push "radical left-wing ideas" onto the development of the technology. Although it's unclear what the direct impact of this repeal will be, it signals a move toward deregulation. AI executive orders The rhetoric surrounding it is dividing opinions, turning AI policy into a partisan issue—although voters across party lines support balanced regulation. Industry experts, however, are concerned that cutting back regulation may jeopardize AI safety at a time when it’s needed most. “The U.S. must focus on a solid and efficient infrastructure that allows organizations evaluating AI systems and their deployment to publish credible and verifiable information about these systems, including their origins, training data, sensor data provenance, and any security incidents,” Dave Maher , CTO of Intertrust Technologies, told me. “These filters should enforce safeguards and test for violations of ethical principles, such as promoting or endorsing harmful behaviors like violence in an AI model’s outputs.” Dave Maher Dave Maher A New Direction: Rolling Back AI Regulation? Musk, who supported Trump throughout his campaign, has been appointed to lead the newly created Department of Government Efficiency (DOGE) —a role aimed at overhauling the nation’s regulatory framework. He’ll be working alongside entrepreneur and politician Vivek Ramaswamy in this ambitious effort. Meanwhile, Americans for Responsible Innovation (ARI), a nonprofit focused on promoting responsible AI development, has started a petition with a goal of 10,000 signatures, urging Trump to appoint Elon Musk as a special advisor on AI. The group argues that Musk’s deep technical expertise and outspoken commitment to AI safety make him the perfect person to lead the U.S. in this crucial tech race. Department of Government Efficiency (DOGE) Department of Government Efficiency (DOGE) “The U.S. should lead the world in advancing AI safely and securely. No one is better equipped to help the Trump Administration make America lead on AI than Elon Musk,” reads the petition page on ARI’s website. “With proper mechanisms in place to handle conflicts of interest, Musk would be an invaluable asset for helping the Trump administration navigate the development of this transformational technology. Help us tell President-Elect Trump to make Musk a Special Advisor to the President on AI.” petition page petition page Musk has long warned about AI’s existential risks and expressed concern over AI becoming too powerful too quickly. But critics aren’t convinced. Some remain skeptical about Musk’s role in shaping AI policy, pointing to his decision to distance himself from OpenAI, a company he helped create, as well as his outspoken opposition to AI regulations. “There’s no way for Elon Musk to be unbiased, just like there’s no such thing as a truly ‘unregulated market.’ The absence of regulation is, in itself, a form of regulation—one that gives big corporations free rein to push their own agendas,” Hamid Ekbia , Director of the Autonomous Systems Policy Institute ( ASPI ) and Professor at Syracuse University, told me. “When Musk talks about deregulating AI, what he’s after is the chance to outpace his competitors. That's why he and others tend to exaggerate the existential risks of AI.” Hamid Ekbia Hamid Ekbia ASPI ASPI China’s Growing AI Prowess Fuels U.S. Concerns The U.S. faces mounting competition from China, which has invested heavily in AI development intending to surpass America by 2030. The AI race has become a central issue in discussions on national security, with both Democrats and Republicans viewing AI technology as a crucial component in defense strategies. China’s lower labor costs and focus on model training give it an edge in the AI race. Trump’s administration will likely continue to tighten restrictions on Chinese access to advanced semiconductors, a strategy initiated during his first term and expanded under President Biden. Trump’s stance on AI has been erratic, often praising its potential while warning of its dangers. He said that the U.S. would require vast infrastructure upgrades for AI, particularly in energy and computing power, to ensure the U.S. maintains its lead over China. To secure America’s technological position, experts call for ambitious investments in AI infrastructure. A recent proposal from OpenAI suggests creating "National Transmission Highways" to modernize the power grid and meet AI’s immense energy demands, a plan that aligns with Trump’s vision of improving infrastructure. “AI can optimize energy distribution and usage through virtual power plants, which manage thousands of components involved in energy production, storage, and consumption,” added Maher. “However, this is only feasible with extensive automation and AI to support precise decision-making. AI safety and security will be crucial for such systems’ successful, large-scale deployment.” Future of AI Regulation: What’s at Stake? Despite widespread bipartisan support, the U.S. AI Safety Institute (AISI) —an organization created after Biden’s executive order to spearhead government efforts on AI safety—could face an uncertain future under President-elect Trump’s newly created DOGE. The department is expected to target federal programs for cuts, and AISI might be on the chopping block. However, tech leaders, lawmakers, and advocates are rallying for a more nuanced approach, arguing that safeguarding AI technology is critical to both national security and ethical progress. Moreover, AI companies like Leading OpenAI and Microsoft are vocal about the need for strong safeguards to maintain the U.S.’s position as a global leader in AI. “AI regulation has to start at the top,” Raj De Datta, CEO and co-founder of Bloomreach, shared with me. “A handful of companies dominate the AI market, and everyone else depends on their data centers or the models they produce. It’s vital that we start with these tech giants—ensuring they respect privacy, operate fairly, use diverse datasets, and uphold values we all agree on. That’s how we get the outcomes we want, the kind that benefit society.” But others, like Ekbia, caution that the current profit-driven approach of big tech companies is unlikely to prioritize the safety of their systems, let alone ethical or environmental concerns. He pointed to recent controversies at OpenAI as evidence that many tech companies put profit—their so-called "bottom line"—ahead of legal and ethical considerations. “How can we expect companies like Google, which has moved operations to tax havens like Ireland or the Cayman Islands, to act responsibly when it comes to developing AI?” he asks. The current situation underscores a key tension: balancing innovation with accountability. As Trump prepares to reshape U.S. AI policy, the industry faces a period of uncertainty. Whether his administration will accelerate or stifle innovation remains to be seen, but one thing is clear: the stakes for AI safety, security, and leadership are higher than ever before.

Trump’s 2024 Victory Sparks AI Policy Debate: What’s Next for America’s Tech Future?

Trumpovo vítězství v roce 2024 podnítí politickou debatu o AI: Co bude dál pro americkou technologickou budoucnost?

La victoria de Trump en 2024 genera un debate sobre políticas de inteligencia artificial: ¿qué le espera al futuro tecnológico de Estados Unidos?

Trumpen 2024ko garaipenak AI politikaren eztabaida pizten du: zer da Amerikako etorkizun teknologikorako?

Viktwa 2024 Trump la te pwovoke deba sou politik AI: kisa kap vini pou avni teknoloji Amerik la?

La vittoria di Trump nel 2024 accende il dibattito sulla politica dell’intelligenza artificiale: quale sarà il futuro tecnologico degli Stati Uniti?

トランプ大統領の2024年勝利がAI政策論争を巻き起こす：アメリカのテクノロジーの未来はどうなるのか？

ტრამპის 2024 წლის გამარჯვებამ გამოიწვია AI პოლიტიკის დებატები: რა არის შემდეგი ამერიკის ტექნიკური მომავლისთვის?

Трамптың 2024 жылғы жеңісі AI саясатына қатысты пікірталас тудырды: Американың техникалық болашағын не күтіп тұр?

트럼프의 2024년 승리가 AI 정책 논쟁을 촉발: 미국의 기술 미래는 어떻게 될까?

ට්‍රම්ප්ගේ 2024 ජයග්‍රහණය AI ප්‍රතිපත්ති විවාදයට තුඩු දෙයි: ඇමරිකාවේ තාක්ෂණික අනාගතය සඳහා මීළඟට කුමක් ද?

Trump-nyň 2024-nji ýyldaky ýeňşi AI syýasaty barada jedel döredýär: Amerikanyň tehnologiýa geljegi üçin näme bolar?

Trump'ın 2024 Zaferi Yapay Zeka Politikası Tartışmasını Başlattı: Amerika'nın Teknoloji Geleceğinde Sırada Ne Var?

Programmable Bitcoin Is Here: A Turing-complete Bridgeless Bitcoin Execution Layer

Proqramlaşdırıla bilən Bitcoin Buradadır: Turing-tam Körpüsüz Bitkoin İcra Layeri

প্রোগ্রামেবল বিটকয়েন এখানে: একটি টুরিং-সম্পূর্ণ ব্রিজলেস বিটকয়েন এক্সিকিউশন লেয়ার

Το προγραμματιζόμενο Bitcoin είναι εδώ: Ένα επίπεδο εκτέλεσης Bitcoin πλήρες χωρίς γέφυρα Turing

El Bitcoin programable ya está aquí: una capa de ejecución de Bitcoin sin puentes y con tecnología Turing completa

ביטקוין ניתן לתכנות נמצא כאן: שכבת ביצוע ביטקוין ללא ברידג' של טיורינג

プログラム可能なビットコインが登場: チューリング完全なブリッジレスビットコイン実行レイヤー

Bitcoin Boleh Aturcara Ada Di Sini: Lapisan Pelaksanaan Bitcoin Tanpa Bridgeless Turing yang lengkap

Seeraar la Baran-garayn karo Waa Halkan: Lakabka Fulinta Seeraar ee Lakabka ah ee Turing-buuxsan

Programmerbar Bitcoin är här: Ett Turing-komplett Bridgeless Bitcoin Execution Layer

Bitcoin Inayoweza Kupangwa Ipo Hapa: Tabaka la Utekelezaji la Turing-kamili la Bridgeless Bitcoin

Википедиа барномарезишаванда дар ин ҷост: Қабати иҷрокунии биткоинҳои бепули Тюринг

Bitcoin leyi nga phurogiremiwaka Yi Laha: Leyara ya ku Endliwa ka Bitcoin leyi nga riki na Buloho leyi heleleke ya Turing

O.XYZ, the leading decentralized Super AI project, announces the launch of OSOL100, a first-of-its-kind AI index token designed to capture the cumulative value of Solana’s top 100 AI projects. This innovative token provides users with direct exposure to Solana’s AI infrastructure, agents, and meme tokens, all through one easily managed and fully transparent investment tool. OSOL100 simplifies investment strategies while enhancing portfolio diversification. It tracks and represents the performance of the top 100 AI-focused projects within Solana’s thriving ecosystem, offering accessibility to the most promising developments. Each OSOL100 token functions as a decentralized share of the fund, hosted on DAOS.fun, providing proportional exposure to its assets. Launched by O.XYZ, OSOL100, OSOLDOCS aligns with the company’s mission to create the world’s first Sovereign Super AI — an AI owned and governed by the community to benefit humanity. Powered by SuperMissO, the first AI CEO in development, OSOL100 embodies O.XYZ’s vision of an autonomous, community-led future. OBOT token holders gain exclusive access to OSOL100, enhancing the value and utility of their existing holdings. About O.XYZ O.XYZ aims to reshape artificial intelligence by developing systems independent of corporate control. It focuses on making AI technology accessible, transparent, and community-driven, ensuring superintelligence serves humanity's interests. O.XYZ's technical foundation centers on building an AI ecosystem designed to be shutdown-resistant and self-led. Their key initiatives include developing 'Sovereign Super intelligence,' creating decentralized infrastructure, and researching hyper-fast AI systems. The project operates under the O.Systems Foundation, led by Ahmad Shadid. Shadid, who previously founded IO.NET– a $3B Solana DePIN — brings his experience to O.XYZ's work on building an autonomous, community-led AI ecosystem. Contact VP Biz Dev Hassan Tariq O.XYZ hassan@o.xyz This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here O.XYZ, the leading decentralized Super AI project, announces the launch of OSOL100, a first-of-its-kind AI index token designed to capture the cumulative value of Solana’s top 100 AI projects. This innovative token provides users with direct exposure to Solana’s AI infrastructure, agents, and meme tokens, all through one easily managed and fully transparent investment tool. OSOL100 simplifies investment strategies while enhancing portfolio diversification. It tracks and represents the performance of the top 100 AI-focused projects within Solana’s thriving ecosystem, offering accessibility to the most promising developments. Each OSOL100 token functions as a decentralized share of the fund, hosted on DAOS.fun, providing proportional exposure to its assets. Launched by O.XYZ, OSOL100, OSOLDOCS aligns with the company’s mission to create the world’s first Sovereign Super AI — an AI owned and governed by the community to benefit humanity. OSOLDOCS OSOLDOCS Powered by SuperMissO, the first AI CEO in development, OSOL100 embodies O.XYZ’s vision of an autonomous, community-led future. OBOT token holders gain exclusive access to OSOL100, enhancing the value and utility of their existing holdings. About O.XYZ O.XYZ aims to reshape artificial intelligence by developing systems independent of corporate control. It focuses on making AI technology accessible, transparent, and community-driven, ensuring superintelligence serves humanity's interests. O.XYZ O.XYZ O.XYZ's technical foundation centers on building an AI ecosystem designed to be shutdown-resistant and self-led. Their key initiatives include developing 'Sovereign Super intelligence,' creating decentralized infrastructure, and researching hyper-fast AI systems. The project operates under the O.Systems Foundation, led by Ahmad Shadid. Shadid, who previously founded IO.NET– a $3B Solana DePIN — brings his experience to O.XYZ's work on building an autonomous, community-led AI ecosystem. Contact VP Biz Dev Hassan Tariq O.XYZ hassan@o.xyz 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

O.XYZ Launches OSOL100 AI Index – The S&P 100 Of Solana’s AI Ecosystem

O.XYZ OSOL100 AI ኢንዴክስን ይጀምራል - የS&P 100 የሶላና AI ምህዳር

O.XYZ lanza el índice de inteligencia artificial OSOL100: el S&P 100 del ecosistema de inteligencia artificial de Solana

O.XYZ lanza OSOL100 AI Index: o S&P 100 do ecosistema de IA de Solana

Az O.XYZ elindítja az OSOL100 AI Indexet – a Solana mesterséges intelligencia ökoszisztémájának S&P 100-át

O.XYZ משיקה את OSOL100 AI Index - S&P 100 של מערכת ה-AI של סולאנה

O.XYZ が OSOL100 AI インデックスを開始 – Solana の AI エコシステムの S&P 100

O.XYZ გამოუშვებს OSOL100 AI ინდექსს - სოლანას AI ეკოსისტემის S&P 100

O.XYZ ले OSOL100 AI इन्डेक्स सुरु गर्‍यो - सोलानाको AI इकोसिस्टमको S&P 100

O.XYZ د OSOL100 AI شاخص پیل کړ - د سولانا د AI اکوسیستم S&P 100

O.XYZ запускає OSOL100 AI Index – S&P 100 екосистеми AI Solana

O.XYZ نے OSOL100 AI انڈیکس کا آغاز کیا – سولانا کے AI ماحولیاتی نظام کا S&P 100

O.XYZ OSOL100 AI indeksini ishga tushirdi - Solana AI ekotizimining S&P 100

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