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한국어(KO) iqraa (@sasha_7zee) 과학 실험 데이터를 인터넷 규모 학습 데이터의 미개척 영역으로 지목한다. 텍스트·이미지 데이터 경쟁이 포화된 상황에서, 실제 벤치 실험 결과가 학습 신호가 되면 모델 자체보다 실험실과 독점적 실험 데이터 파이프라인이 핵심 경쟁우위가 될 수 있다는 관점

AI development trends: Scientific data and English as programming language

By PulseAugur Editorial · [2 sources] ·

Two separate Mastodon posts highlight emerging trends in AI development. One post points to scientific experimental data as a new frontier for large-scale AI training, suggesting that exclusive experimental data pipelines could become a key competitive advantage. The other post emphasizes Andrej Karpathy's view that English is becoming the premier programming language in the AI coding era, where natural language prompts drive AI-generated code, opening new opportunities for AI startups. AI

IMPACT Emerging trends suggest a shift towards specialized scientific data for AI training and the increasing importance of natural language, particularly English, in AI-driven software development.

RANK_REASON The cluster consists of two separate social media posts discussing AI trends, rather than a primary source announcement or a significant industry event.

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

AI development trends: Scientific data and English as programming language

COVERAGE [2]

  1. Mastodon — fosstodon.org TIER_1 한국어(KO) · [email protected] ·

    iqraa (@sasha_7zee) identifies scientific experiment data as an untapped area for internet-scale learning data. In a situation where text and image data competition is saturated, the perspective is that if actual bench experiment results become a learning signal, laboratories and exclusive experiment data pipelines can become the core competitive advantage rather than the models themselves.

    iqraa (@sasha_7zee) 과학 실험 데이터를 인터넷 규모 학습 데이터의 미개척 영역으로 지목한다. 텍스트·이미지 데이터 경쟁이 포화된 상황에서, 실제 벤치 실험 결과가 학습 신호가 되면 모델 자체보다 실험실과 독점적 실험 데이터 파이프라인이 핵심 경쟁우위가 될 수 있다는 관점이다. https:// x.com/sasha_7zee/status/208208 2688492802138 # ai # scientificai # trainingdata # datamoat

  2. Mastodon — fosstodon.org TIER_1 한국어(KO) · [email protected] ·

    Introducing Andrej Karpathy's Y Combinator AI Startup School lecture, emphasizing his argument that English will become the hottest programming language in the era of AI coding. The development method where requirements are expressed in natural language and AI handles implementation.

    Poly (@poly0015iew) Andrej Karpathy의 Y Combinator AI Startup School 강연을 소개하며, AI 코딩 시대에는 영어가 가장 뜨거운 프로그래밍 언어가 된다는 그의 논지를 강조했다. 자연어로 요구사항을 표현하고 AI가 구현을 맡는 개발 방식의 확산과, 이에 따른 AI 스타트업 기회에 관한 내용이다. https:// x.com/poly0015iew/status/20818 43933382848746 # ai # coding # llm # vibecoding…

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