2026-08-11 Terça

Notícias de cripto - Página 471

Mantenha-se a par do mercado de cripto. Notícias em tempo real, análises, preços, histórias em alta e análise de especialistas — tudo num só lugar.

Biology's Paradigm Shift: Zuckerberg's New Open-Source Model Completely Overturns Google's AlphaFold Throne

The AlphaFold era faces a major challenge. A new open-source AI model, ESMFold2, from Meta CEO Mark Zuckerberg's Biohub, has been released alongside a massive database of 11 billion predicted protein structures—surpassing the AlphaFold database by 8 billion entries. Published in Nature, the model is reported to outperform AlphaFold3 in key areas, particularly in predicting protein complexes. Crucially, it is fully open-source with no commercial restrictions. ESMFold2 takes a different technical approach, building on a protein language model trained on billions of sequences, including microbial data from diverse environments like soil and ocean—areas less covered by AlphaFold. The team validated its utility by designing and successfully synthesizing novel functional proteins in the lab. The decision to open-source everything is seen as a strategic move, similar to Meta's approach with its Llama models, aiming to build an ecosystem and accelerate global research. While scientists welcome the resource, some urge caution, noting the need for independent validation of predictions and questioning its performance on entirely novel protein folds. The development signals intensified competition in protein AI, rapidly evolving much like the large language model field, and represents a significant step forward in using AI to decode and engineer the machinery of life.

marsbit05/29 12:31

Biology's Paradigm Shift: Zuckerberg's New Open-Source Model Completely Overturns Google's AlphaFold Throne

marsbit05/29 12:31

VVV Skyrockets Over 1000% Year-to-Date, Is Base Ecosystem the Last Hope for Crypto AI?

VVV Surges Over 10x This Year: Is Base Ecosystem the Final Hope for Crypto AI? The AI wave continues, and within the crypto space, the Base ecosystem is emerging as a key hub for AI concepts. Beyond VVV's impressive 1076% yearly gain, other projects like Virtual and Clanker are making steady progress. Infrastructure for AI Agent payments, such as the x402 protocol, is developing, and platforms related to L1s, operating systems, wallets, and social networks for AI Agents are also appearing. Key projects highlighted include: - **VVV (Venice)**: The leading AI token on Base, it operates a dual-token model with compute token DIEM. Its price, supported by real revenue from the privacy-focused Venice AI platform, recently hit around $18 before settling near $16. - **VIRTUAL**: A top Base launchpad positioning itself as an AI Agent co-ownership layer. It supports token creation and monetization for autonomous AI Agents. - **Clanker**: An AI launchpad originating from Farcaster that allows token creation via social media posts. - **FAI (Freysa AI)**: An experiment in creating a "Sovereign AI Agent" that autonomously controls its crypto assets. - **ELSA**: An AI execution layer for DeFi, translating natural language into on-chain actions. - **WARD (Warden Protocol)**: A modular L1/OS for a decentralized "internet of agents." The summary also mentions the volatility of AI-themed meme coins on Base. While Base has become a notably active ecosystem for crypto AI, driven by AI Agent development and payment solutions, it remains uncertain whether it can fully realize the vision of an "on-chain AI world."

Odaily星球日报05/29 11:09

VVV Skyrockets Over 1000% Year-to-Date, Is Base Ecosystem the Last Hope for Crypto AI?

Odaily星球日报05/29 11:09

AI Is Not Replicating the Internet; It’s Replicating the Industrial Revolution

AI is not replicating the Internet; it is replicating the Industrial Revolution. The past two decades of the internet were built on monetizing user attention and ad space. In contrast, the current AI commercialization path reveals a clear structural shift: the focus is moving from serving consumers (C端) to replacing human labor costs for businesses (B端). While C端 AI applications like ChatGPT face stagnant subscription growth and low conversion rates (often below 5%), the B端 market is exploding. Anthropic's annualized revenue soared from $90 billion to $450 billion in early 2026, primarily driven by enterprise API and Agent deployments. The core logic is Return on Investment (ROI): companies spend on AI to save significantly more on salary costs. For instance, an AI coding agent can replace hundreds of junior programmers, offering a clear and compelling cost-benefit equation. The fundamental mismatch lies in the underlying business logic. C端 AI struggles due to low user switching costs, lack of network effects, and an inability to capture significant user time like entertainment apps. Conversely, B端 AI thrives because enterprises buy based on measurable ROI, integrate AI deeply into workflows (creating high switching costs), and are willing to pay a premium for stability and performance. AI is evolving from a digital tool into a digital labor force—directly executing tasks rather than just assisting humans. This transformation mirrors the Industrial Revolution, where machinery replaced physical labor. Today, AI is replacing structured cognitive labor. The total global wage bill represents a market vastly larger than internet advertising. Therefore, the true value of AI lies not in capturing traffic, but in capturing the economics of labor cost replacement. The internet monetized attention; AI monetizes wages.

marsbit05/29 10:24

AI Is Not Replicating the Internet; It’s Replicating the Industrial Revolution

marsbit05/29 10:24

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