Author: CryptoPress
Robinhood introduced beta access to “Agentic Trading” and “Agentic Credit Cards,” enabling customers to connect third-party artificial intelligence agents directly to financial accounts.The technical architecture is built on the open-source Model Context Protocol (MCP) developed by Anthropic, bypassing standard app-scraping or unofficial API workarounds.The rollout includes strict security guardrails, restricted fund...
Mystery Entity Permanently Burns 107 Bitcoin Worth Over $8 Million From Decade-Old Wallets
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An unknown entity permanently destroyed 107 BTC, worth approximately $8.2 million, by routing the funds to a historic unspendable burn address.The funds originated from five separate wallets that had been entirely dormant since April 2014, when bitcoin was trading around $442.On-chain analysts have floating theories ranging from accidental exchange cold-storage errors to deliberate tax loss harvesting or a broken dead man’s switch.A...
Vatican Issues AI Encyclical Calling for Tech to Be ‘Disarmed’ Alongside Anthropic Co-Founder
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Pope Leo XIV issued “Magnifica Humanitas,” a landmark papal encyclical calling for artificial intelligence to be “disarmed” and strictly regulated to prevent technology from dominating human dignity.
Anthropic co-founder Christopher Olah spoke alongside the Pope at the Vatican, acknowledging that frontier AI labs face deep commercial and geopolitical pressures that conflict with public safety.
The encyclical...
Hyperliquid Enters Macro Prediction Markets With Validator-Driven CPI Contracts
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Hyperliquid expanded its HIP-4 framework by launching a U.S. Consumer Price Index prediction market, allowing users to trade on-chain contracts tied to the May 2026 inflation print. The protocol’s 24 native validators function as the oracle, eliminating reliance on external data networks like UMA by directly ingesting news feeds and voting on-chain to settle events. HIP-4 contracts feature zero leverage or liquidation risk, operating as fully...
Death to the 800-Word Blog Post
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The paradigm of traditional organic search—driven by word count, keyword frequency, and linear readability scores—is actively collapsing. As search behavior shifts toward Generative Engines (Perplexity, Google Gemini, OpenAI Search), content designed for human skimming fails to satisfy the algorithmic prerequisites of Retrieval-Augmented Generation (RAG) systems. This article outlines the transition from legacy editorial frameworks to...


