# Shift Related Articles

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

Italian Giant Makes Revolutionary Move: Sells Bitcoin and Solana, Buys This Altcoin Instead!

Italian banking giant Intesa Sanpaolo has executed a major portfolio shift, pivoting heavily from Bitcoin and Solana towards Ethereum. The bank substantially reduced its holdings in the BlackRock iShares Bitcoin Trust (IBIT) by 93.7%, leaving only 40,723 shares, and nearly closed its position in a Solana ETF, cutting it from 2,817 shares to just 7. Conversely, it nearly tripled its investment in Ethereum by increasing its stake in the iShares Staked Ethereum Trust from 116,200 shares to 349,600 shares. This move marks a significant rebalancing of the bank's cryptocurrency ETF portfolio, signaling a strong strategic preference for Ethereum over other major digital assets.

cryptonews.ru2 days ago 14:58

Italian Giant Makes Revolutionary Move: Sells Bitcoin and Solana, Buys This Altcoin Instead!

cryptonews.ru2 days ago 14:58

Italian Giant Takes Revolutionary Step: Sells Bitcoin and Solana, Buys This Altcoin Instead!

The Italian banking giant Intesa Sanpaolo has made a major strategic shift in its cryptocurrency investments. The bank has significantly reduced its holdings in Bitcoin and Solana Exchange-Traded Funds (ETFs) while dramatically increasing its exposure to Ethereum. Specifically, it reduced its stake in the BlackRock iShares Bitcoin Trust (IBIT) by 93.7%, cutting it down to 40,723 shares. It also nearly exited its position in a Solana ETF, reducing holdings from 2,817 shares to just 7. In contrast, Intesa Sanpaolo nearly tripled its investment in the iShares Staked Ethereum Trust, increasing its position from 116,200 shares to 349,600 shares. This move indicates a substantial reallocation of the bank's portfolio towards Ethereum-based crypto ETF products.

cryptonews.ru2 days ago 12:15

Italian Giant Takes Revolutionary Step: Sells Bitcoin and Solana, Buys This Altcoin Instead!

cryptonews.ru2 days ago 12:15

Jensen Huang: Prompts are Becoming Obsolete, Loops are the New Paradigm

Jensen Huang, alongside AI leaders like Peter Norvig, Boris Cherny, and Andrew Ng, is advocating for a shift from "prompt engineering" to "loop engineering" as the new paradigm for AI development. Instead of manually crafting individual prompts, the focus is now on designing autonomous loops—systems where AI agents execute tasks, self-validate results, and iterate until completion without constant human oversight. A loop is a management framework that enables agents to operate independently. Key implementations are seen in Claude Code (with features like /loop, /goal, and /schedule) and OpenAI Codex, which employ multiple agents working in parallel within isolated environments. A core principle is the separation of roles: one agent (or model) performs the task, while an independent agent (or a smaller, separate model) validates the output to ensure objectivity. The article outlines a practical roadmap for implementing loops, starting with a "four-condition test" to assess suitability, building a minimal viable loop, and emphasizing critical pitfalls to avoid, such as lacking hard stop conditions or allowing loops to handle tasks requiring human judgment. This evolution is framed as the fourth major shift in AI interaction: from Prompt Engineering (crafting instructions) to Context Engineering (providing background information), then to Harness Engineering (building tool-enabled environments), and finally to Loop Engineering (creating self-sustaining systems). This progression reflects a consistent trend of increasing abstraction, moving human involvement from direct instruction to system design and rule-setting. The concept has academic roots in frameworks like ReAct, which formalized the "reason-act-observe" cycle. While loop engineering promises greater automation, experts caution about managing token costs and warn against outsourcing understanding—AI can assist, but deep problem comprehension remains essential.

marsbit06/25 14:26

Jensen Huang: Prompts are Becoming Obsolete, Loops are the New Paradigm

marsbit06/25 14:26

Token Inefficient, Economy Tokenless

The article "Tokens Aren't Economical, Economics Aren't Tokenized" analyzes a pivotal shift in the AI industry from a technology-driven narrative to one dominated by capital efficiency. It highlights two concurrent trends: a severe capital shortage due to the exorbitant and recurring costs of compute (e.g., OpenAI's high burn rate) and a wave of corporate spin-offs where major tech companies are separating their AI units (like Kuaishou's Kling and Baidu's Kunlunxin). The core argument is that AI's "anti-internet" business model, where user growth increases costs rather than profits, has created a disconnect between high valuations and actual cash flow. Spin-offs address this by allowing AI assets to be valued independently. Within a parent company, they are seen as cost centers, but as standalone entities, they are priced based on their growth potential and scarcity in the primary market, leading to massive valuation premiums (e.g., Kling's estimated value tripling post-spin-off). The industry is at an inflection point, moving from "model worship" to "value realization." The competition is evolving from a pure compute (GPU) race to a broader focus on systemic efficiency and full-stack engineering (involving CPUs and orchestration) to achieve viable commercialization. The year 2026 is framed as a critical moment where the industry must definitively answer how to economically translate AI capability into tangible business value, reshaping the sector's future power structure.

marsbit06/05 11:13

Token Inefficient, Economy Tokenless

marsbit06/05 11:13

Bitcoin's Decline Marks the Transformation of Crypto

Title: The Decline of Bitcoin Marks the Transformation of Crypto While Bitcoin's price recently fell below $70,000, down approximately 45% from its peak, the broader crypto industry is not following it into decline. Instead, crypto is maturing and evolving beyond its dependence on Bitcoin's price movements. Two of Bitcoin's core functions are being usurped. First, AI has captured its role as the primary speculative asset. AI, with its tangible revenue, explosive demand, and massive capital inflows ($700-830 billion in 2024), is siphoning off the speculative "hot money" that once drove Bitcoin. It also contributes to a sustained high-interest-rate environment, further tightening liquidity for assets like Bitcoin. Second, dollar-pegged stablecoins like USDC and USDT have replaced Bitcoin as the crypto market's foundational currency and primary on/off-ramp. Most trading pairs and on-chain transactions are now settled in stablecoins, severing the historical link where all capital inflows had to pass through Bitcoin first. This decoupling allows projects to thrive based on their own fundamentals rather than Bitcoin's price. Examples include Hyperliquid, an on-chain derivatives exchange with annual revenues of $8-13 billion, and prediction market platform Polymarket, valued at $200 billion with $3.65 billion in annual fees. These projects are evaluated on traditional metrics like revenue and user growth. New opportunities are emerging, particularly around privacy. Privacy coins like Zcash (ZEC) are seeing surging demand, while infrastructure like NEAR enables private, cross-chain asset transfers without requiring users to hold a specific token—privacy becomes a universal service layer. In this new paradigm, stablecoins are the universal cash, various project tokens represent equity, and privacy-enabled cross-chain coordination layers (like NEAR) act as the critical infrastructure connecting a fragmented, multi-chain ecosystem. Bitcoin is now just one asset among many. The era where the entire crypto market moved in lockstep with Bitcoin is over. The industry's health should now be judged by project fundamentals—real revenue, active users, and tokenomics that capture value—and the development of the underlying infrastructure enabling a mature, dollar-denominated crypto economy.

foresightnews_api06/05 04:28

Bitcoin's Decline Marks the Transformation of Crypto

foresightnews_api06/05 04:28

Institutional Shift? Jane Street Turns Toward Ethereum After Reducing Bitcoin ETF Exposure

Institutional investors are increasingly shifting focus from Bitcoin to Ethereum, with Jane Street notably reducing its Bitcoin ETF exposure while increasing its stake in ETH. This reflects a broader trend of institutions viewing Ethereum not just as an altcoin but as a distinct macro asset, driven by its growing role in DeFi and tokenization. Concurrently, Ethereum's network recorded its highest realized profits in three weeks, with $74.58 million in profits despite a recent price dip, as earlier accumulators sold into the downturn. On-chain data shows increased transaction volume and distribution activity at around $2,241, suggesting cautious investor sentiment. Analysts advise monitoring for deeper realized losses as a potential bottoming signal before considering aggressive positions.

bitcoinist05/16 02:01

Institutional Shift? Jane Street Turns Toward Ethereum After Reducing Bitcoin ETF Exposure

bitcoinist05/16 02:01

From Wall Street to Silicon Valley, Anthropic Steals All the Spotlight from OpenAI

From Wall Street to Silicon Valley, Anthropic is seizing the spotlight from OpenAI. In just one year, the power dynamics in the AI have shifted significantly. Anthropic is now challenging OpenAI across multiple fronts: market share, secondary market valuation, venture capital sentiment, and public perception. At the recent HumanX AI conference, the consensus was clear—Anthropic is the new darling of Silicon Valley. Its annualized recurring revenue (ARR) has reportedly reached $300 billion, surpassing OpenAI's $250 billion. In the secondary market, Anthropic's valuation has overtaken OpenAI's, with strong investor preference for its shares. Anthropic dominates the enterprise sector, holding 42-54% of the code generation market and 40% of the enterprise agent market, compared to OpenAI's 21% and 27%, respectively. It also leads in new enterprise adoption and cost efficiency. While OpenAI retains a strong consumer user base with ChatGPT, it faces challenges inization and high operational expenses. A leaked internal memo from OpenAI identified Anthropic as its biggest threat, emphasizing its compute infrastructure advantage, but the very need for such a memo highlights its defensive position. Despite OpenAI's strong backing from Amazon and NVIDIA, the market is now valuing efficiency, cost-effectiveness, and precise market fit—areas where Anthropic currently leads. However, experts caution that the AI race is far from over and the landscape remains highly fluid.

marsbit04/13 01:07

From Wall Street to Silicon Valley, Anthropic Steals All the Spotlight from OpenAI

marsbit04/13 01:07

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