2026-06-05 Пятница

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Three Years Later: How Has AI Evolved from a 'Chat Tool'?

Three years ago, AI was primarily seen as a novel tool for chatting, image generation, and entertainment—products like ChatGPT, Midjourney, and Character.AI were used more for demonstration than daily reliance. The evolution occurred in two major phases. First, AI became embedded into established applications like CapCut, Canva, and Notion, transforming from a feature into core infrastructure. Platforms diverged: ChatGPT aimed to become a super-app entry point for consumer internet use, while Claude evolved into a professional operating system for knowledge work, creating sticky platform flywheels through integration into calendars, email, and workflows. The true breakthrough emerged recently as AI shifted from generating content to executing tasks autonomously. AI agents like OpenClaw now decompose goals, retrieve information, process data, and deliver results without human intervention. Simultaneously, "Vibe Coding" tools (e.g., Cursor, Replit) enable AI to build entire software products based on human-defined objectives. This progression toward autonomous action is naturally aligning AI with Web3. Blockchain offers machine-native interfaces, programmable assets, and 24/7 operational capability, allowing AI to execute and settle transactions trustlessly without human intermediaries. Together, AI and Web3 are forming the foundational stack for the next internet—where AI acts, and Web3 enables seamless, auditable machine-to-machine coordination and commerce.

marsbit03/20 03:00

Three Years Later: How Has AI Evolved from a 'Chat Tool'?

marsbit03/20 03:00

The Truth About Bitcoin Security: Beyond Hash Power, Law is the Bottom Line

The article "The Truth About Bitcoin Security: Beyond Hash Power, Law is the Bottom Line" by Craig Wright challenges the common narrative that Bitcoin operates outside legal frameworks. It argues that the standard economic model, which assumes anonymous miners and a lawless environment, is outdated and inaccurate for large-scale transactions. Bitcoin mining is now dominated by industrialized, identifiable entities—large, publicly-listed companies and regulated mining pools—not anonymous actors. For small transactions (e.g., under a few million dollars), pure protocol security (proof-of-work) suffices, as legal action is economically unfeasible. However, for large transactions, legal and organizational mechanisms become critical. A double-spend attack by an identifiable mining pool would trigger legal consequences, including criminal charges, asset seizures, and reputational damage, making such attacks economically irrational. The mining industry’s structure—reliant on specialized ASICs, long-term capital investments, and relationships with regulated entities—creates inherent disincentives for attacks. Mining pools would face capital destruction, contributor defection, and legal sanctions if they attempted fraud. Thus, Bitcoin’s security is not solely based on computational cost but also on legal accountability and economic deterrence. The conclusion is that Bitcoin’s security relies on a dual mechanism: protocol-level security for small transactions and legal-institutional security for large ones. Law and protocol are complementary, not opposing forces. The evolution of Bitcoin’s mining industry has naturally embedded it within legal frameworks, making it more secure and robust than purely "lawless" models suggest.

marsbit03/20 01:35

The Truth About Bitcoin Security: Beyond Hash Power, Law is the Bottom Line

marsbit03/20 01:35

Crypto Morning Brief: Prediction Market Kalshi Raises Over $1 Billion, Block Recalls Some Laid-Off Employees

Crypto & AI Daily Digest **Key Market Events:** - The Bank of Japan kept its benchmark interest rate unchanged at 0.75%, as expected. - US initial jobless claims for the week of March 14 came in at 205,000, lower than the forecast of 215,000. **Major Funding & M&A:** - Prediction market platform Kalshi raised over $1 billion in a new funding round, doubling its valuation to $22 billion. - OpenAI is acquiring startup Astral to expand its presence in the programming sector. - Animoca Brands announced a strategic investment in AVAX and a partnership with Ava Labs to develop the Avalanche ecosystem, focusing on Asia and the Middle East. **Corporate News:** - **Meta** experienced a significant AI Agent malfunction, leading to a two-hour leak of sensitive company and user data. - **Block** (formerly Square) has quietly recalled some of the employees it laid off in February, with CEO Jack Dorsey admitting the decision may have been a mistake. - **Crypto.com** is cutting approximately 12% of its workforce as part of a company-wide push to integrate enterprise-level AI tools. - **Gemini** has reduced its headcount by about 30% this year and reported an annual loss of approximately $585 million. **Token & Ecosystem Updates:** - The Perle Foundation unveiled the tokenomics for its PRL token, with 37.5% allocated to the community. - Perpetual DEX edgeX has launched a page for its EDGE token airdrop, with claims open until April 1st.

marsbit03/20 01:13

Crypto Morning Brief: Prediction Market Kalshi Raises Over $1 Billion, Block Recalls Some Laid-Off Employees

marsbit03/20 01:13

Why Truly Mature Traders Are Starting to Monitor Bitcoin Volatility

The article explains why sophisticated traders are increasingly focusing on Bitcoin volatility rather than just price direction. It argues that while price indicates where the market is, volatility reveals the density of risk and the path ahead. Many traders lose not because they misjudge direction, but because they misjudge volatility—entering or exiting at inopportune times due to unexpected swings. The text distinguishes between historical volatility (past price movements), implied volatility (market expectations derived from options pricing), and volatility indices like BVIX, EVIX, and Cboe’s BITVX, which make future volatility expectations visible and tradable. These instruments signal a maturation in crypto markets, shifting from purely trading price to also trading risk, uncertainty, and market expectations. A key insight is that low volatility does not mean low risk; it often masks growing fragility, as complacency leads to increased leverage and crowded strategies. When volatility is compressed, the risk of a sudden, extreme move (a "fat tail" event) rises. Conversely, high implied volatility may indicate overpriced fear, creating opportunities to sell volatility for seasoned traders. The article concludes that understanding volatility is essential for advanced trading—it helps with risk management, identifies mispriced expectations, and reveals market sentiment before price moves. As crypto develops better volatility infrastructure, traders who monitor indicators like BVIX or EVIX gain a deeper understanding of what the market is truly pricing: not just direction, but uncertainty itself.

marsbit03/20 00:30

Why Truly Mature Traders Are Starting to Monitor Bitcoin Volatility

marsbit03/20 00:30

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