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#1
The man who coined the term 'vibe coding' says code written by AI can still be 'awkward' and 'gross'
#1 out of 2
technology11m ago

The man who coined the term 'vibe coding' says code written by AI can still be 'awkward' and 'gross'

  • Andrej Karpathy says AI-written code can be 'bloaty' and 'brittle,' needing human supervision.
  • Karpathy introduced 'vibe coding' as AI-assisted development where builders touch code minimally.
  • Security concerns have risen as AI-generated code can risk exposing data, with Lovable reporting issues.
  • Vibe coding disrupted hiring and boosted the value of tools for developers, influencing startup valuations.
  • Despite popularity, developers caution against overreliance on AI due to untested code risks.
  • Karpathy says humans will still guide high-level development decisions while AI handles the 'under the hood' work.
  • Karpathy noted no fundamental barrier to clean AI code; training focus has been scarce.
  • The Sequoia talk highlighted the broader tech response to vibe coding and its impact on startups.
  • Vibe coding has been named the 2025 word of the year by Collins Dictionary, signaling its cultural reach.
  • The article emphasizes ongoing debates about AI's role in software development and the need for guardrails.
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#2
Standard Intelligence: Training General Intelligence in Pixel Space
#2 out of 2

Standard Intelligence: Training General Intelligence in Pixel Space

  • Standard Intelligence pursues general computer agents through raw video pre-training on computer use.
  • The team built an 11-million-hour computer action dataset, the largest in the industry.
  • A video encoder is about 50 times more token-efficient, enabling two hours of 30 FPS video in a 1-million-token window.
  • The team operates a 30-petabyte storage cluster in San Francisco costing under $500K.
  • FDM-1 is the first foundation model trained on computer-use video at scale.
  • Founders Galen Mead and Devansh Pandey started out as teenagers and left college to pursue AI safety with urgency.
  • The company positions itself as an unconventional approach in the AGI race, focusing on video rather than text.
  • Series A funding for Standard Intelligence is led by investors including Spark Capital's Miko and Yasmin.
  • The team envisions general models capable of editing tools and software states after brief fine-tuning.
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