2026-08-14 Sexta

Notícias de cripto - Página 598

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.

How to Automate Any Workflow with Claude Skills (Complete Tutorial)

This is a comprehensive guide to mastering Claude Skills, a feature for creating permanent, reusable instruction sets that automate specific workflows. Unlike simple saved prompts, Skills function like trained employees, delivering consistent, high-quality outputs by defining the entire task process, standards, error handling, and output format. The guide is structured in four phases: **Phase 1: Installation (5 minutes).** Skills are folders containing a `SKILL.md` file. The user is instructed to find a relevant Skill online, install it, test it on a real task, and compare its performance to one-off prompts. **Phase 2: Building Your First Custom Skill.** Start by rigorously defining the Skill's purpose, trigger phrases, and providing a concrete example of perfect output. The `SKILL.md` file has two parts: a YAML frontmatter with a specific name/description/triggers, and a detailed, step-by-step workflow written in natural language with examples and quality standards. **Phase 3: Testing & Optimization for Production.** Test the Skill in three scenarios: 1) a standard, common task; 2) edge cases with missing or conflicting data; and 3) a pressure test with maximum complexity. Any failure indicates a needed instruction. Implement a weekly optimization cycle to continuously refine the Skill based on real usage. **Phase 4: Building a Complete Skill Library.** The goal is to create a team of Skills for all repetitive tasks. Examples are given for industries like real estate, marketing, finance, consulting, and e-commerce. The user should list their tasks, prioritize them, and build one new Skill per week, maintaining a master document to track their library. The conclusion emphasizes the compounding time savings: ten Skills saving 30 minutes each per week reclaims over 260 hours (6.5 work weeks) per year, fundamentally transforming one's work system.

marsbit05/12 09:45

How to Automate Any Workflow with Claude Skills (Complete Tutorial)

marsbit05/12 09:45

Dialogue with Vitalik, Xiao Feng, Aya Miyaguchi, and Joseph Chalom: From the 'Subtraction Principle' to the Agent Economy

Conversation with Vitalik Buterin, Xiao Feng, Aya Miyaguchi, and Joseph Chalom: Highlights from the Ethereum Application Summit on key future directions. Vitalik Buterin discussed the concept of "Full Stack Open Source Security," extending security from the protocol to hardware layers like wallets and chips. He predicted AI will simplify blockchain interaction, enabling natural language commands for complex operations. He emphasized that Ethereum's future focus should be on security, decentralization, and trustless infrastructure—the areas where it holds its core competitive edge. The fusion of AI, Fully Homomorphic Encryption (FHE), and blockchain is seen as crucial for real-world applications requiring privacy, such as healthcare. Xiao Feng underscored the importance of simplifying technology for mass adoption. He drew parallels to the evolution from command lines to GUIs and apps, suggesting that AI-driven natural language interfaces will be key to bringing more users into Web3. He stressed that while performance is important, Ethereum must continue to uphold its foundational principles of decentralization and user sovereignty. Aya Miyaguchi, Chair of the Ethereum Foundation, explained the evolving role of the Foundation through the "Principle of Subtraction." As the ecosystem matures, the EF is stepping back from areas where the community can take the lead, acting as one of many "gardeners" rather than a central driver. She highlighted that real applications are built on Ethereum's core values: censorship resistance, open source, security, and privacy. The concept of "Local-first" initiatives, like the Ethereum Applications Guild (EAG), was also emphasized for leveraging regional strengths to create global impact. Joseph Chalom, CEO of SharpLink, positioned Ethereum as the future infrastructure for global capital markets, differentiating it from Bitcoin through its "productivity" via staking yields. He envisioned the rise of an "Agent Economy" by 2027, where AI agents, powered by Web3 wallets, will autonomously manage financial tasks like yield optimization and RWA investments. The summit concluded that with core infrastructure maturing, the application layer is now the key driver for Ethereum's next phase of growth and real-world adoption.

marsbit05/12 09:43

Dialogue with Vitalik, Xiao Feng, Aya Miyaguchi, and Joseph Chalom: From the 'Subtraction Principle' to the Agent Economy

marsbit05/12 09:43

Cerebras IPO: A $48.8 Billion Valuation—Is the 'Nvidia Challenger' a Bubble or a New King?

Cerebras Systems, positioning itself as an NVIDIA challenger, is going public with a $48.8 billion valuation despite several underlying paradoxes revealed in its S-1 filing. While 2025 revenue grew 76% to $510M and GAAP net income was $237.8M, this profitability relies heavily on a one-time, non-cash accounting gain. Adjusting for this, the company's non-GAAP net loss actually widened to $75.7M. Furthermore, customer concentration remains extreme: 86% of 2025 revenue came from two Abu Dhabi-based entities, MBZUAI (62%) and G42 (24%). Its landmark deal with OpenAI, valued at over $20 billion, creates a complex, nested relationship where OpenAI is simultaneously a major customer, lender, warrant holder, and strategic partner with exclusivity clauses. Cerebras's technical edge in latency-sensitive AI inference is real, with its wafer-scale chip outperforming competitors in benchmarks. However, this advantage is confined to a specific niche, not the broader AI training market dominated by NVIDIA's CUDA ecosystem. With a 95x price-to-sales ratio, the valuation demands flawless execution of the OpenAI contract and massive future revenue growth. Key long-term risks include intense competition from giants like NVIDIA and AMD, a dual-class share structure granting insiders near-total voting control, and ongoing geopolitical uncertainties regarding export controls. The IPO is a pivotal capital markets event for AI infrastructure. As an investment, it represents a high-risk, high-reward bet on the "inference-first" narrative and Cerebras's ability to dominate its specialized segment, underpinned by a valuation that highlights the current fervor in the sector.

marsbit05/12 09:05

Cerebras IPO: A $48.8 Billion Valuation—Is the 'Nvidia Challenger' a Bubble or a New King?

marsbit05/12 09:05

What Happens to Ethereum Developer Tools After the Grants Run Out?

On February 27th, the Ethereum Foundation (EF) announced Project Odin, a structured sustainability support program designed for a select group of strategic, previously grant-funded teams. Unlike a standard grant, Odin offers a long-term advisory mechanism focused on helping these teams establish credible, sustainable paths within a two-year framework, thereby reducing long-term dependence on single funding sources. The program addresses a critical post-grant challenge: how essential public goods, especially major developer tools, can achieve financial sustainability beyond initial funding. While grants from EF and programs like Gitcoin or RetroPGF remain vital for startups and research, they often fall short for mature, widely-used infrastructure. Tools like compilers, languages, and network stacks are deeply embedded but struggle with monetization, trapped between being too foundational to lose and too public to generate natural revenue. Project Odin provides teams with a dedicated Strategic Advisor to guide them through a three-phase process: 1) analyzing current funding and realistic options, 2) validating potential paths with stakeholders, and 3) executing plans, which may include crafting support contracts, service agreements, or other recurring revenue models. The first pilot participant is Vyper, a critical smart contract language for the EVM, highlighting the need for sustainable models for core infrastructure. The initiative reframes the public goods conversation from "who should be funded" to "how do already-proven teams avoid perpetual funding crises?" It encourages ecosystem participants—protocols and projects that depend on these tools—to view sustainable support not just as charity, but as essential risk management for their own operational supply chains.

marsbit05/12 08:35

What Happens to Ethereum Developer Tools After the Grants Run Out?

marsbit05/12 08:35

MARA Reports Q1 Revenue Below Expectations, Net Loss of $1.3 Billion, Stock Plunges After Hours

Bitcoin mining firm MARA Holdings reported disappointing Q1 2024 results, causing its stock to erase all daily gains and fall 3.44% in after-hours trading. Revenue dropped 18% year-over-year to $174.6 million, missing Wall Street estimates of $192.7 million. The company posted a net loss of $1.3 billion, a significant increase from a $533.4 million loss a year ago, primarily driven by unrealized losses on its holdings of 38,689 Bitcoin, which depreciated in value during the quarter. MARA also sold over 15,100 BTC in late March to repurchase debt at a discount. The broader mining environment remains challenging due to a 35% decline in Bitcoin's price from its all-time high and a nearly 30% increase in mining difficulty over the past year. MARA's market cap ranking among U.S. miners has slipped to seventh. Critically, the company announced a strategic pivot away from Bitcoin mining expansion. It stated it has no plans to purchase new mining equipment and is fully transitioning toward AI data centers. Its strategy involves retrofitting existing mining sites for AI and high-performance computing (HPC) and leveraging its recent $1.5 billion acquisition of Long Ridge Energy & Power, a gas-fired power plant and data center. This infrastructure could eventually support 600 MW of AI compute capacity, allowing MARA to redeploy up to 90% of its non-custodial mining power for AI and IT workloads.

marsbit05/12 08:35

MARA Reports Q1 Revenue Below Expectations, Net Loss of $1.3 Billion, Stock Plunges After Hours

marsbit05/12 08:35

The AI Investment Landscape Is Being Reshaped: Beyond the 'Magnificent Seven', What Opportunities Lie in the Semiconductor Supply Chain?

AI Investment Map is Reshaping: Opportunities Beyond the 'Magnificent Seven' Since ChatGPT ignited the AI wave, investment initially focused on the "Magnificent Seven" tech giants dominating cloud infrastructure. However, the rise of DeepSeek and debates on AI capital expenditure effectiveness are shifting this dynamic. Investors now recognize opportunities deeper in the supply chain—the companies providing the essential "picks and shovels." Early concerns about an AI investment "arms race" and potential low returns were partly alleviated by strong Q1 earnings from cloud providers, validating robust compute demand. This has highlighted a more certain investment thesis: regardless of which AI applications ultimately win, massive capital expenditure will first fuel demand for semiconductors and related components. This "pick-and-shovel" logic has driven semiconductor ETFs to record highs. Key beneficiaries include: * **Memory Chipmakers (e.g., SK Hynix, Samsung, Micron)**: High Bandwidth Memory (HBM) is a critical bottleneck for AI training. * **Photonics Companies**: Crucial for high-speed data transfer within AI data centers. * **The Broader "AI-11" Semiconductor Ecosystem**: This encompasses foundries & lithography (TSMC, ASML), logic & custom chips (AMD, Broadcom, Intel, Marvell), and enterprise storage (SanDisk, Western Digital). Every dollar of AI infrastructure spending flows through this chain. While the "Magnificent Seven" remain dominant in market size, their earnings growth premium over the rest of the S&P 500 ("S&P 493") is narrowing. Market attention and marginal investment are shifting towards the expanding semiconductor supply chain. The investment narrative is evolving from "betting on the ultimate AI winner" to "investing in the certainty of the infrastructure build-out." Understanding this shift from the demand side to the supply side is key to identifying future AI investment opportunities.

marsbit05/12 08:06

The AI Investment Landscape Is Being Reshaped: Beyond the 'Magnificent Seven', What Opportunities Lie in the Semiconductor Supply Chain?

marsbit05/12 08:06

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