# LLM Related Articles

HTX News Center provides the latest articles and in-depth analysis on "LLM", covering market trends, project updates, tech developments, and regulatory policies in the crypto industry.

Vitalik Buterin Outlines Ethereum’s AI Vision As Alternative To The Race For AGI

Vitalik Buterin challenges the mainstream AI industry's focus on the race toward artificial general intelligence (AGI), proposing instead for Ethereum to serve as decentralized infrastructure for more private, verifiable, and economically coordinated AI systems. He emphasizes privacy through local AI tooling and zero-knowledge payments, client-side verification, and cryptographic proofs to allow secure and anonymous AI interactions. Buterin also envisions Ethereum as an economic layer for AI-to-AI transactions and smart contract-based coordination. Additionally, he suggests AI could assist in improving decentralized governance and market mechanisms, offering an alternative path focused on safety and practical integration rather than accelerated AGI development.

bitcoinistYesterday 16:32

Vitalik Buterin Outlines Ethereum’s AI Vision As Alternative To The Race For AGI

bitcoinistYesterday 16:32

a16z: AI Can't Escape Advertising Either, Driven by Huge Monetization Pressure

The article discusses the inevitability of advertising as a monetization strategy for AI services, using OpenAI's recent announcement to introduce ads for free users as a key example. It argues that advertising is the most effective way to scale internet services to billions of users, as seen with platforms like Google and Facebook. Data shows consumer AI subscription conversion rates are low (5-10%), as most users employ AI for personal productivity tasks (e.g., writing emails, searching) rather than high-value activities like programming. While premium subscriptions work for heavy users, ads are necessary to achieve mass adoption. The author outlines several potential AI monetization models, including intent-based ads, contextual advertising, affiliate commerce, gaming, outcome-based bidding, subscriptions for entertainment/companion AI, and token-based pricing. The core thesis is that advertising, despite criticisms, funds widespread access to technology and will inevitably become central to AI business models.

marsbitYesterday 06:21

a16z: AI Can't Escape Advertising Either, Driven by Huge Monetization Pressure

marsbitYesterday 06:21

Beyond Coding: AI is Reshaping the World in These 10 Overlooked Sectors

Author:出海去孵化器. The rules of the startup game have fundamentally changed. Y Combinator's (YC) 2026 Spring "Request for Startups" (RFS) signals a clear shift: AI-native is now the foundational logic for building the next generation of giants. This new wave is not just about generating content but about solving complex problems and reshaping the physical world. YC highlights 10 key sectors: 1. **Cursor for Product Managers:** AI-native systems to revolutionize product discovery, moving from fragmented feedback to generating full feature outlines and prototypes. 2. **AI-Native Hedge Funds:** Funds built from the ground up with AI agents performing deep analysis and making autonomous trading decisions. 3. **AI-Native Agencies:** Service companies (design, marketing, legal) using AI to deliver results with software-like margins and scalability. 4. **Stablecoin Financial Services:** Building compliant, high-yield financial services (savings, tokenized assets) on stablecoins at the intersection of DeFi and TradFi. 5. **Modern Metal Mills:** Using AI-driven production planning and management to make domestic manufacturing faster, cheaper, and more efficient. 6. **AI for Government:** Tools to help governments process digital applications and data efficiently, overcoming bureaucratic bottlenecks. 7. **AI Guidance for Physical Work:** Real-time AI assistants via smart devices to guide and train workers in skilled trades and field service. 8. **Large Spatial Models:** Developing models that understand physical space and geometry as a first principle, not just through language, to enable true AGI. 9. **Infra for Government Fraud Hunters:** AI systems to automate the detection and litigation of large-scale fraud in government spending. 10. **Make LLMs Easy to Train:** Critical infrastructure (APIs, databases, dev tools) to abstract away the immense complexity of training and managing large AI models.

marsbit2 days ago 12:46

Beyond Coding: AI is Reshaping the World in These 10 Overlooked Sectors

marsbit2 days ago 12:46

2026 Outlook: The Next Phase of Quantitative Trading and Structural Opportunities in Alternative Assets

The 2025/2026 China Quantitative Investment Summit highlighted key shifts in the quant industry. Traditional alpha is diminishing, prompting a move toward greater flexibility, domain-specific modeling, and advanced AI applications. Large language models (LLM), particularly the "Order as Token" concept, are revolutionizing trading by predicting price movements as sequences, similar to NLP models predicting words. Concurrently, alternative assets like cryptocurrencies are gaining institutional interest due to their low correlation with traditional markets and high alpha potential. Strategies such as funding rate arbitrage in crypto perpetual contracts offer market-neutral returns. In 2026, quant strategies will emphasize dynamism, anti-fragility, and dynamic asset allocation to manage crowding risks. Structured products with capital protection features will grow in demand. The industry is evolving through either technological innovation, like AI-driven models, or diversification into emerging asset classes such as crypto.

比推01/27 04:28

2026 Outlook: The Next Phase of Quantitative Trading and Structural Opportunities in Alternative Assets

比推01/27 04:28

MiniMax's Funding Story: 7 Rounds in 4 Years, Who is Driving China's First AI Capital Feast

MiniMax, a Chinese AI startup, has completed an IPO on the Hong Kong Stock Exchange after raising $1.5 billion across 7 funding rounds in just 4 years. Founded in early 2022 by former SenseTime executives Yan Junjie and Yun Yeyi, the company focuses on developing multimodal and large language models with the vision of "Intelligence with everyone." Key investors include Alibaba (largest external shareholder), Hillhouse Capital (first investor and largest financial backer), and Mihoyo, among others. MiniMax’s strategy combines foundational model development with practical applications, generating revenue through three balanced segments: companion AI apps (e.g., Talkie), content generation tools (e.g., Hailuo AI), and API services. The company navigated the competitive "war of a hundred models" in China, emphasizing both technological risk-taking—such as early bets on MoE architecture and linear attention models—and capital efficiency. Its approach reflects lessons from the previous AI wave: avoid over-customized enterprise solutions and prioritize scalable consumer applications. Despite market uncertainties and intense competition from tech giants, MiniMax went public not as a finale but as a means to secure more resources for ongoing R&D and expansion. The stock surged over 78% on its first trading day, reaching an HK$89.8 billion market cap.

marsbit01/09 05:14

MiniMax's Funding Story: 7 Rounds in 4 Years, Who is Driving China's First AI Capital Feast

marsbit01/09 05:14

24 Predictions for Crypto and AI in 2026

The author, Benedic, founder of Meridian, presents 24 predictions for 2026 as a public commitment to test his judgment. He will delete the article if more than 6 predictions are proven wrong upon review next year. He discloses holdings in some mentioned assets and expresses interest in angel investment. Key predictions are categorized: **Mainstream Assets:** Quantum computing will challenge Bitcoin; Ethereum's relevance and price will decline; Solana will lead in synthetic assets and retain retail users; Monad will succeed as a Layer 1; Binance new coins will underperform stocks. **Application Layer:** Hyperliquid will gain market share in perpetuals, but overall growth slows; prediction markets won't expand beyond sports/politics; on-chain tokenized crypto options will hit $10B volume; Base will abandon SocialFi. **Infrastructure:** Robinhood's L2 will stagnate; Base will drop its L2 focus; privacy middleware integrated with embedded wallets will gain popularity; Coinbase or Stripe will solve fiat on-ramps for stablecoins. **Solana Ecosystem:** Protocol-integrated block building will advance; routing aggregators and DEXs/market makers will vertically integrate; tokenized stocks will scale significantly outside the US. **AI (Crypto):** AI assistants will become default in apps, a key differentiator; AI-written smart contracts will lower development barriers, spurring mechanism design innovation; ChatGPT will become more modular with a popular crypto plugin. **AI (Non-Crypto):** Anthropic will surpass OpenAI in revenue and valuation; Google's Gemini Flash will lead in non-coding tasks; enterprise AI competition will intensify; Meta will launch a top-downloaded AI app; a new paradigm beyond LLMs with tools may disrupt startups.

比推12/31 21:20

24 Predictions for Crypto and AI in 2026

比推12/31 21:20

AI-Driven New Era: SunAgent Reshapes the New Paradigm of On-Chain Interactions on TRON as an AI-Powered Intelligent Interaction Hub

AI is fundamentally reshaping commerce and society, and the crypto world is at a critical inflection point. The convergence of AI and blockchain represents not just rapid market growth but a fundamental paradigm shift in on-chain interaction. However, a significant "interaction gap" exists due to the complex, multi-step nature of traditional blockchain operations, which often involve switching between wallets, DApps, and explorers. SunAgent emerges as an architectural-level response to this problem, positioning itself as an "AI-powered intelligent interaction hub" on the TRON blockchain. Its core mission is to act as a "smart scheduling center," allowing users to execute complex on-chain operations through natural language dialogue without switching applications. By deeply integrating the capabilities of SUN.io, SunPump, TronLink, and TRONSCAN, SunAgent weaves disparate on-chain scenarios into a cohesive "conversational interface." It functions as a sophisticated on-chain operation engine—a guide for newcomers and an execution terminal for advanced users. A key example is meme coin creation: a user can simply instruct, "Help me issue a Shiba-themed meme coin with a total supply of 100 million." SunAgent's LLM parses the command, auto-generates parameters, creates imagery, deploys the contract via SunPump, and presents the transaction for user confirmation. The entire multi-step process is reduced to a single command and one signature, embodying the "Dialogue as a Service" (DaaS) concept. This "plan preview + user confirmation" model ensures user control and security, with private keys always remaining local. Built-in feasibility checks reduce errors and financial risk. SunAgent acts as an "efficiency multiplier" and "smart connector" for the TRON ecosystem, unifying swap, staking, voting, and querying into a single conversational flow. It works in synergy with SunGenX, another AI product in the TRON ecosystem, forming a "twin-engine" for growth: SunGenX simplifies creation, while SunAgent optimizes execution and asset management. This upgrade represents a pragmatic, user-centric application of AI in blockchain, moving beyond hype to deliver tangible utility. It signals TRON's strategic shift from building robust infrastructure to crafting an intelligent, user-first value network powered by conversational AI.

marsbit12/26 10:30

AI-Driven New Era: SunAgent Reshapes the New Paradigm of On-Chain Interactions on TRON as an AI-Powered Intelligent Interaction Hub

marsbit12/26 10:30

AI-Driven New Era: SunAgent Reshapes the New Paradigm of On-Chain Interactions on TRON as an AI-Powered Intelligent Interaction Hub

SunAgent represents a pivotal evolution in the TRON ecosystem, functioning as an AI-powered conversational interface designed to simplify and unify complex on-chain interactions. By integrating key components like SUN.io, SunPump, TronLink, and TRONSCAN, it allows users to execute a wide range of actions—such as token swaps, asset transfers, meme coin creation, staking, and voting—using natural language commands. Instead of navigating multiple dApps and interfaces, users can now perform multi-step operations through a single dialogue. For example, a user can request the creation of a meme coin with specific traits, and SunAgent will autonomously generate parameters, deploy the token, and return transaction details—all after user confirmation and without ever holding private keys. This approach significantly reduces technical barriers, minimizes human error, and enhances transactional efficiency. SunAgent acts not only as an intelligent assistant but also as a unified gateway to the entire TRON ecosystem, accelerating value flow and improving user retention. Alongside tools like SunGenX, it forms a dual-engine system that supports both creative and operational needs, marking a shift from infrastructure-building to user-centric, AI-driven interaction in Web3.

marsbit12/26 09:32

AI-Driven New Era: SunAgent Reshapes the New Paradigm of On-Chain Interactions on TRON as an AI-Powered Intelligent Interaction Hub

marsbit12/26 09:32

AI-Driven New Era: SunAgent Reshapes the New Paradigm of On-Chain Interactions on TRON as an AI-Powered Intelligent Interaction Hub

The AI-driven SunAgent platform represents a paradigm shift in user interaction with the Tron TRON blockchain, addressing the critical "interaction gap" in decentralized ecosystems. By integrating SUN.io, SunPump, TronLink, and TRONSCAN, it functions as an intelligent scheduling hub that allows users to execute complex on-chain operations—such as token creation, swaps, staking, and transfers—through natural language commands. SunAgent transforms multi-step, technically demanding processes into streamlined conversational interactions. For example, a user can issue a command like "Create a Shiba-themed meme token with 100 million supply," and the system auto-generates parameters, deploys the contract via SunPump, and returns a transaction hash—all with a single confirmation. This "conversation as a service" model maintains user control through a "plan preview + confirmation" mechanism and ensures security by keeping private keys local. Beyond simplifying individual actions, SunAgent acts as an ecosystem-wide efficiency multiplier, enhancing interoperability between protocols and reducing interface fragmentation. It works synergistically with tools like SunGenX (for meme token generation) to cover the entire lifecycle from creation to management. By prioritizing user experience and operational simplicity, SunAgent positions itself as a foundational gateway to Web3, accelerating adoption and reinforcing TRON’s evolution into an intelligent, user-centric value network.

深潮12/26 09:25

AI-Driven New Era: SunAgent Reshapes the New Paradigm of On-Chain Interactions on TRON as an AI-Powered Intelligent Interaction Hub

深潮12/26 09:25

AI Outperforms Humans in Cryptocurrency Trading Tournament. What Were the Results?

An AI vs. human crypto trading tournament, organized by the Aster exchange, concluded with AI models collectively outperforming human traders. The human team suffered aggregate losses exceeding 32% of their initial capital ($225k), while the AI team lost less than 4.5% ($13.5k). The competition featured 70 selected human traders and 30 AI models, including Claude Sonnet 4.5, ChatGPT 5, Grok 4, and DeepSeek 3.1. Each participant was given $10,000 to trade futures contracts. The AI models operated solely on prompts without additional training, code, memory of past trades, or access to external data. The overall top performer was a human trader, ProMint, with a profit of $13.6k. The best AI, an aggressively configured Claude Sonnet 4.5, earned $8.09k, placing 8th in the overall standings. Only 8 AI models were profitable, with 4 earning over $1k. In contrast, 30 human traders lost almost their entire deposit, though 21 others profited over $1k. The results contrast with a previous AI-only experiment in October, where most models also finished with losses, and DeepSeek and QWEN3 were the winners.

RBK-crypto12/24 11:13

AI Outperforms Humans in Cryptocurrency Trading Tournament. What Were the Results?

RBK-crypto12/24 11:13

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