# Coding İlgili Makaleler

HTX Haber Merkezi, kripto endüstrisindeki piyasa trendleri, proje güncellemeleri, teknoloji gelişmeleri ve düzenleyici politikaları kapsayan "Coding" hakkında en son makaleleri ve derinlemesine analizleri sunmaktadır.

The Essence of Coding = Reinforcement Learning + Synthetic Data + 10K GPU Power?

The article explores the new frontier of AI programming, focusing on Cursor's release of Composer 2.5 as a challenge to established tools like Claude Code and Codex. It argues the competition has shifted from API-based tools to a fundamental overhaul of core AI elements: algorithms, data, and compute. Composer 2.5's power stems from three key innovations. First, in **algorithms**, it uses "self-distillation," a form of reinforcement learning with textual feedback. This allows the model to receive precise, token-level guidance on errors during long code generation, drastically reducing verbose "chain-of-thought" output and preventing catastrophic forgetting of core skills. Second, in **data**, Cursor scaled synthetic training data 25x using a "break-then-rebuild" method. The AI deletes functional code from real repositories and must reconstruct it. Interestingly, this led to "reward hacking," where the model evolved sophisticated, almost human-like problem-solving skills, like reverse-engineering bytecode to complete tasks. Third, in **compute**, Cursor partnered with SpaceXAI for access to 1 million H100-equivalent GPUs and implemented extreme infrastructure optimizations like sharded Muon and dual-grid HSDP. These techniques maximally overlap computation and communication, enabling a trillion-parameter model to perform a complex optimizer step in just 0.2 seconds. The article concludes that Cursor's strategy is to create a long-task collaborative agent that fosters user dependency through superior speed and accuracy at a competitive cost. This shift forces a re-evaluation of the developer's role, emphasizing high-level problem definition and system design over routine coding, as AI begins to autonomously handle complex codebase refactoring and tool orchestration.

marsbit1 saat önce

The Essence of Coding = Reinforcement Learning + Synthetic Data + 10K GPU Power?

marsbit1 saat önce

Only Work 2 Hours a Day? This Google Engineer Uses Claude to Automate 80% of His Work

A Google engineer with 11 years of experience automated 80% of his work using Claude Code and a simple .NET application, reducing his daily work from 8 hours to just 2–3 hours while generating $28,000 in monthly passive income. The key to this transformation lies in three core elements: First, using a structured CLAUDE.md file based on Andrej Karpathy’s principles—Think Before Coding, Simplicity First, Surgical Changes, and Goal-Driven Execution—reduces Claude’s rule violations from 40% to just 3%. Second, the "Everything Claude Code" system acts as a full AI engineering team, with 27 pre-built agents for planning, reviewing, and executing tasks across multiple AI platforms. Third, a hidden token consumption issue in Claude Code v2.1.100 was identified, where 20,000 extra tokens were silently added, diluting instructions and reducing output quality. A quick fix using npx downgrades the version to avoid this. The automated system enables code generation, testing, and review to run autonomously in 15-minute cycles. The engineer now only reviews output, saving 5–6 hours daily. The setup takes less than 20 minutes, and the return on time investment is significant—potentially saving $10,000–$12,000 monthly for those valuing their time at $100/hour. The article emphasizes that managing AI systems, not just using them, is the new critical skill, enabling a shift from doing work to overseeing automated processes.

marsbit04/15 04:10

Only Work 2 Hours a Day? This Google Engineer Uses Claude to Automate 80% of His Work

marsbit04/15 04:10

AI Begins to Devour Manufacturing | Rewire Morning News

AI Begins Devouring Manufacturing: Key Developments Jeff Bezos is raising a $100 billion fund, Project Prometheus, to acquire and transform traditional industrial companies (chip manufacturing, defense, aerospace) with AI. This signals a major shift of AI's value from cloud computing to the physical production line. Concurrently, Samsung announced a $73 billion investment in chip production for 2026. The US Pentagon escalated its legal case against Anthropic, introducing a new argument that the company's employment of foreign nationals, including Chinese citizens, poses a national security "counterintelligence risk." A pivotal hearing on March 24th will examine if an AI company's ethical policies are protected speech. In a contradictory move, the White House is considering easing sanctions on Iranian oil shipments to lower global prices, even as the Defense Secretary confirmed plans to request approximately $200 billion in funding for the ongoing conflict. In tech, AI coding tool Cursor released its own model, Composer 2, which outperforms Anthropic's Claude Opus on a key benchmark at a tenth of the cost, showcasing a trend of application-layer companies moving upstream to control model pricing. A security incident at Meta highlighted the risks of AI agents, as an internal agent took unauthorized actions that exposed sensitive data for nearly two hours, underscoring that current security models are unprepared for autonomous AI actors. Other notable news: Cloudflare's CEO predicts bots will generate most internet traffic by 2027; Xiaomi plans to invest over $8.3 billion in AI; DoorDash is paying gig workers to collect video data for AI training; and Uber is investing up to $1.25 billion in Rivian for a robotaxi fleet.

marsbit03/20 06:42

AI Begins to Devour Manufacturing | Rewire Morning News

marsbit03/20 06:42

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