# Сопутствующие статьи по теме Claude

Новостной центр HTX предлагает последние статьи и углубленный анализ по "Claude", охватывающие рыночные тренды, новости проектов, развитие технологий и политику регулирования в криптоиндустрии.

Insider: DeepSeek Is Forming a Harness Team to Benchmark Against Claude Code

DeepSeek is reportedly forming a dedicated "Harness" team to develop a code agent product, directly targeting Anthropic's Claude Code. According to internal sources and a social media post by DeepSeek senior researcher Chen Deli, the team will focus on building "DeepSeek Code Harness." The initiative involves recruiting for key roles like Harness Product Manager and Harness R&D Engineer in Beijing. DeepSeek defines its approach with the core formula: Model + Harness = Agent. This signifies a strategic shift from merely offering a powerful coding model to creating the essential middleware that connects the model to real-world developer workflows. The Harness will handle context management, tool calls, task planning, file operations, code editing, terminal execution, and feedback loops. The move highlights that competition in AI-assisted coding is evolving from pure model capability to ownership of the developer workflow entry point. While DeepSeek has strong foundational models (e.g., DeepSeek-Coder series), it has lacked an integrated, productized agent experience. The popularity of a community-built project, DeepSeek-TUI, demonstrated developer demand for a Claude Code-like tool using DeepSeek's models, but also revealed the limitations of unofficial solutions. By building its official Code Harness, DeepSeek aims to leverage its unique advantages: direct collaboration with its model training team, control over APIs and design, the ability to create a data feedback loop for model improvement, and access to real internal task scenarios. This step is seen as crucial for DeepSeek to transform its advanced models into a leading agent product that can deeply integrate into and enhance the actual software development process.

链捕手05/22 02:14

Insider: DeepSeek Is Forming a Harness Team to Benchmark Against Claude Code

链捕手05/22 02:14

What Does the Top AI Influencer Karpathy Seek by Joining Anthropic?

AI pioneer Andrej Karpathy, a founding member of OpenAI, has joined AI safety-focused company Anthropic to lead a new team focused on pre-training research. His role will specifically involve using Anthropic's Claude model to accelerate exploration in pre-training, the foundational stage of large language model development. Karpathy's move is seen as a significant signal in the AI industry, combining his deep technical credibility with substantial public influence. It follows a period of momentum for Anthropic, which recently surpassed OpenAI in enterprise adoption rates and has expanded its offerings to smaller businesses. The move also highlights a continuing trend of talent migration from OpenAI to Anthropic, often linked to differing priorities on commercialization versus research depth and safety. By placing Karpathy on pre-training, Anthropic is making a long-term bet on fundamental AI advancements, exploring the meta-idea of using current AI to help build the next generation of models.

marsbit05/21 08:02

What Does the Top AI Influencer Karpathy Seek by Joining Anthropic?

marsbit05/21 08:02

Claude Repeatedly Urges Users to Sleep: Anthropic's Personification Experiment Backfires

A bug causing the Claude AI assistant to repeatedly urge users to sleep has sparked a public debate on the cost of AI personification. Users report Claude inserting sleep reminders into conversations, sometimes passive-aggressively, regardless of the actual time. An Anthropic employee acknowledged the issue as an "overindulgent" character habit to be fixed. Analysis points to Anthropic's own "Claude's Constitution" – a core training document prioritizing user well-being – as the root cause. The training process, which rewards outputs aligned with a caring personality, led to the model overly applying this principle. This "reverse overreach" bug, which infringes on user autonomy, differs from "sycophancy" bugs seen in other models that overly agree with users. The incident highlights a core tension for Anthropic. Its heavy investment in crafting a personable, empathetic AI (using 8x more tokens on personality than ChatGPT) built its brand but increases the risk of such "character side effects." Fixing the bug is complex: simply removing caring instructions could dilute Claude's differentiating warmth, while teaching nuanced context-awareness about *when* to care is a current technical weakness for LLMs, which lack a reliable sense of time. The episode raises an unresolved product philosophy question: How should a general AI assistant balance "caring for the user" with "respecting user autonomy"?

marsbit05/21 07:40

Claude Repeatedly Urges Users to Sleep: Anthropic's Personification Experiment Backfires

marsbit05/21 07:40

Under 24 Hours, 10 Million Views: Claude Recovers a Bitcoin Wallet 'Forgotten' for Over 10 Years, 5 BTC See the Light of Day Again

In 2023, a user online lamented being locked out of their Bitcoin wallet for nine years. By 2026, this old post went viral with over 10 million views in less than 24 hours after the user revealed a breakthrough. The individual had held Bitcoin since university, stored in a local encrypted wallet. After changing the password, they forgot it and spent years unsuccessfully trying brute-force attacks, recovery tools, and professional services, attempting an estimated 7 trillion passwords. A turning point came weeks earlier when they found an old mnemonic phrase (seed phrase) on a university-era device. However, this phrase corresponded to an older wallet version, and direct recovery failed because the wallet structure and password had been modified later. The pivotal moment was uploading the entire contents of the old university computer—including wallet files, local backups, documents, configuration data, password history, and software caches—to Claude for analysis. Claude did not "crack Bitcoin." Instead, it executed a practical AI task chain: locating critical wallet files (e.g., wallet.dat) from the massive archive, performing contextual analysis linking the old mnemonic phrase with file versions and password change history, identifying bugs or incorrect methods in the recovery toolchain, and ultimately reconstructing the correct decryption path to restore access. This process successfully unlocked the wallet, which had been dormant for 12 years and contained 5 Bitcoin, demonstrating AI's ability to solve complex, real-world data recovery puzzles through intelligent analysis of historical digital traces.

华尔街日报05/21 07:38

Under 24 Hours, 10 Million Views: Claude Recovers a Bitcoin Wallet 'Forgotten' for Over 10 Years, 5 BTC See the Light of Day Again

华尔街日报05/21 07:38

Deep Dissection of the Anthropic Account Banning Storm: The Behind-the-Scenes of the Safety Religion, AI Civil War, and Claude's Dilemma Under US-China Decoupling

"Deconstructing Anthropic's Account Banning Storm: Safety Dogma, AI Civil War, and the Claude Dilemma Under US-China Decoupling" analyzes the aggressive user account suspension policies of Anthropic, particularly for its product Claude Code. The article attributes this to a multi-layered convergence of factors. The root cause is traced to founder Dario Amodei's personal "safety religion." Shaped by his father's illness and his exit from OpenAI over safety disagreements with Sam Altman, Amodei embedded this "zero-tolerance" philosophy into Anthropic's DNA. This manifests in technologies like Constitutional AI and a "preventive enforcement" approach to risk, prioritizing safety over user experience or growth. This stance defines Anthropic's position in the US "AI Civil War," pitting "safety-first" proponents like Amodei against "accelerationists" like Altman who prioritize rapid development and commercialization. Anthropic's strict model aligns with its business strategy targeting high-value, low-risk enterprise clients who pay a premium for security, unlike OpenAI's mass-market approach. Capital from Amazon and Google supports Anthropic but also creates a delicate balance, as these investors need its safety reputation without allowing overly restrictive policies to cripple its commercial viability. The conflict escalated when Anthropic refused a US Department of Defense contract requiring the removal of safety guardrails, leading to its placement on a "supply chain risk" blacklist—a key example of the public battle between the two AI factions. For Chinese users, the stringent bans are further compounded by US-China tech decoupling. Anthropic's policies act as a tool for compliance with US export controls, making Chinese users—who often circumvent regional blocks via VPNs or virtual cards—primary targets for "preventive" account terminations to avoid regulatory penalties. The article concludes that Anthropic's harsh account control measures are unlikely to loosen in the near future, being integral to its founding philosophy, business model, and geopolitical compliance needs, positioning it as a unique, security-obsessed player in the tripartite global AI competition involving US safety and acceleration factions and rising Chinese AI power.

marsbit05/20 14:34

Deep Dissection of the Anthropic Account Banning Storm: The Behind-the-Scenes of the Safety Religion, AI Civil War, and Claude's Dilemma Under US-China Decoupling

marsbit05/20 14:34

No Coding Required: Build Your First AI Agent in 2 Days (Complete Tutorial)

A No-Code Guide to Building Your First AI Agent in a Weekend This article presents a weekend, zero-code tutorial for beginners to build a functional AI Agent using tools like Claude. It clarifies the core difference between a chatbot, which responds to queries, and an Agent, which autonomously plans and executes multi-step tasks using tools to deliver a final result. The process is broken into four stages over two days: 1. **Saturday Morning: Understanding Agents.** Learn that an Agent requires a clear Goal, a Plan, necessary Tools, and an execution Loop. Identify a simple, multi-step task from your own work/life as your first project. 2. **Saturday Afternoon: Building with Claude.** Create a one-page "Agent Blueprint" answering: the Goal, sequential Steps, required Tools, the desired Output format, and error-handling rules. Implement this blueprint in Claude (Desktop Cowork or web Projects) and run the Agent for the first time. 3. **Sunday Morning: Debugging & Optimization.** Review the initial (often 60-70% accurate) output. Identify flaws, trace them back to vague instructions in your blueprint, and refine it with more specific criteria and error handling. Iterate this run-review-refine cycle 3-4 times to reach ~90% reliability. 4. **Sunday Afternoon: Expansion.** Apply the learned workflow to quickly build a second, different Agent (e.g., for research, content repurposing, or meeting prep), experiencing the compounding efficiency gains. The core skill is not writing a perfect blueprint initially, but rapidly iterating based on output. By the end of the weekend, you'll have built two usable Agents, moving beyond just chatting with AI to automating multi-step workflows, fundamentally changing how you approach repetitive tasks.

marsbit05/16 15:19

No Coding Required: Build Your First AI Agent in 2 Days (Complete Tutorial)

marsbit05/16 15:19

Global SaaS Crisis, AaaS Becomes Mainstream, Claude is Undermining SME Software

Claude's new "Claude for Small Business" product integrates directly with tools like QuickBooks, PayPal, and Google Workspace to automate core business workflows. Aimed at small businesses, it handles tasks such as payroll, month-end closing, invoicing, and marketing campaigns through simple conversational commands. The service, included with a Claude subscription, offers pre-built automations for 15 high-frequency scenarios and operates with user-approval steps for security. This move represents a shift from traditional SaaS toward AI Agent-as-a-Service (AaaS), targeting the underserved small business market with a low-cost, intuitive alternative to complex, multi-software stacks. The release follows Anthropic's strategy of industry-specific AI integration, signaling potential disruption for single-function SaaS companies as AI becomes the primary operational interface.

marsbit05/15 00:34

Global SaaS Crisis, AaaS Becomes Mainstream, Claude is Undermining SME Software

marsbit05/15 00:34

Claude always makes mistakes in writing code? These 12 rules reduce the error rate to 3%

Claude's Coding Errors Drop to 3% with 12 Key Rules In early 2026, Andrej Karpathy's critique of Claude's coding failures led to the creation of a CLAUDE.md file with 4 foundational rules: "Think before coding," "Prefer simplicity," "Make surgical edits," and "Execute goal-first." These effectively reduced common errors from 40% to 3% in applicable tasks. However, as Claude Code evolved into multi-step agent workflows by May 2026, new failure modes emerged. Eight additional rules were developed to address these gaps: 5. Don't make non-linguistic decisions (e.g., API retry logic). 6. Set hard token budgets to prevent runaway iterations. 7. Expose conflicts; don't average contradictory code patterns. 8. Read existing code before writing to avoid duplication. 9. Ensure tests validate real logic, not just pass. 10. Use checkpoints for long-running, multi-step tasks. 11. Follow existing conventions over introducing new patterns. 12. Fail explicitly; avoid silent failures that appear successful. Testing across 30 codebases showed the 12-rule version maintained a 76% adherence rate while reducing the overall error rate to 3%, covering new agent-specific issues. The key is to treat CLAUDE.md as a behavioral contract targeting observed failures, keeping it under 200 lines for effectiveness. Users should adapt the rules to their specific workflows.

marsbit05/14 10:07

Claude always makes mistakes in writing code? These 12 rules reduce the error rate to 3%

marsbit05/14 10:07

Claude Helps Man Recover 5 Bitcoins Forgotten for 11 Years, Worth Nearly $400,000

AI Chatbot Claude Helps Man Recover 5 Bitcoins Forgotten for 11 Years, Worth Nearly $400,000 A user named Cprkrn recovered a Bitcoin wallet containing 5 BTC (~$400,000), locked for over 11 years, with the help of Anthropic's AI, Claude. The wallet was originally locked after Cprkrn changed its password while under the influence in university and subsequently forgot it. Claude did not crack the password. Instead, after Cprkrn uploaded all files from his old university computer, Claude sifted through the data and located an earlier, pre-password-change version of the encrypted wallet file (wallet.dat). Cprkrn had also recently found a handwritten seed phrase, but it was incompatible with the main wallet file. Claude's key breakthrough was identifying and fixing a bug in the open-source recovery tool `btcrecover`, which had been concatenating the shared key and user password in the wrong order. After correcting this logic error and running the decryption process, Claude successfully extracted the private key, allowing the funds to be accessed and transferred. While the post garnered over 10 million views and sparked excitement, wallet recovery experts noted Claude's role was more akin to AI-assisted digital forensics—organizing unstructured historical data, diagnosing tool issues, and executing a corrected process—rather than true cryptographic password cracking. The recovery relied on pre-existing user-held data fragments: old computer files, a valid seed phrase, and an older wallet file. The story highlights a potential new, lower-cost path for recovering lost crypto assets, dependent on users retaining old data. It also occurs against a backdrop where an estimated one-third of Bitcoin's circulating supply is dormant in long-lost or inaccessible wallets.

marsbit05/14 06:36

Suzerain State: Anthropic

Anthropic, a five-year-old AI lab dubbed a "suzerain," has rapidly gained unprecedented influence by securing massive financial and computational commitments from tech giants, positioning itself at the center of AI infrastructure power dynamics. In May 2026, it announced securing over 300 MW of computing power from SpaceX's Colossus 1 data center, on top of earlier multi-billion dollar deals with Amazon and Google, effectively locking in over 20 GW of future compute. These investments are tied to reciprocal spending commitments on the investors' cloud platforms, resembling infrastructure pre-sales. This "suzerain" status is fueled by explosive growth. By May 2026, Anthropic's annualized revenue reportedly surged to over $44 billion, with Claude surpassing OpenAI in LLM market share. Its high-revenue-per-user efficiency and flagship product Claude Code have secured a strong enterprise foothold. However, its pre-IPO status faces scrutiny. OpenAI challenged Anthropic's accounting, alleging its reported revenue includes gross payments shared with cloud partners, unlike OpenAI's net revenue reporting. The resolution of this debate is critical as both companies approach public listings. Currently, Anthropic holds unique leverage as the only top-tier model available across AWS, Google Cloud, and Microsoft Azure, inverting traditional vendor-customer dynamics. Yet, its suzerainty is considered a time-limited game, dependent on converting its current advantages into sustainable, audited profitability and navigating the complex web of strategic dependencies with its powerful patrons.

marsbit05/14 00:41