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Fact check: Post Title: Nvidia can now create Genomes from scratch Original Reddit link: https://www.reddit.com/r/singularity/comments/1ith6sg/nvidia_can_now_create_genomes_from_scratch/?rdt=43719

Checked on February 20, 2025

1. Summary of the results

The claim about Nvidia creating genomes from scratch is partially accurate but requires important context. Nvidia has developed Evo 2, an AI foundation model that can design genomic sequences as long as those of simple bacteria [1]. The model is trained on an extensive dataset of 8.85 trillion nucleotides from both eukaryotic and prokaryotic genomes [2]. However, it's crucial to note that in practice, only small stretches of DNA have been successfully constructed in reality [3].

2. Missing context/alternative viewpoints

Several important contextual elements are missing from the original statement:

  • The technology in question is specifically called "Evo 2" and is primarily focused on understanding and analyzing genetic code across life domains [4]
  • The model's capabilities extend beyond just creation - it can predict protein functions and analyze genomic sequences [4]
  • While full genome creation is becoming theoretically feasible, there's a significant gap between AI-designed sequences and actual physical DNA synthesis [3]

3. Potential misinformation/bias in the original statement

The original statement potentially misleads by:

  • Oversimplifying a complex technological achievement - while Evo 2 can design genomic sequences, this is different from physically creating genomes
  • Omitting ethical considerations that surround DNA synthesis technology [3]
  • Not distinguishing between computational design and physical creation - while the AI can design sequences, actual DNA synthesis is still limited to small stretches [3]

This development benefits several stakeholders:

  • Nvidia benefits from public perception of their AI capabilities
  • Biotechnology companies could leverage this technology for research and development
  • Research institutions gain new tools for genetic research and analysis
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