← Back to feed

Should We Edit the Human Genome?

L1 · CuriousOpinion & AnalysisLessWrong AI· 10/14/2026

Explores societal and ethical dimensions of AI-adjacent biotech that will affect everyone

AI Summary

Examines the ethical implications of using CRISPR/Cas9 for human genetic enhancement, questioning whether we should pursue genome editing.

Excerpt

Crossposted from my substack. Procreative Beneficence and Genetic Enhancement 1. Introduction Imagine a world where everyone is healthy, intelligent, long living and happy. Intuitively this seems wonderful albeit unrealistic. However, recent scientific developments in genetic engineering, namely CRISPR/Cas bring the question into public discourse, how the genetic enhancement of humans should be evaluated morally. In 2001, when preimplantation genetic diagnosis (PGD) and in vitro fertilisation (

Read Original
0 upvotes · 0 downvotes · 1 min read

Related Articles

L1 · CuriousOpinion & AnalysisMIT Technology Review AI
Open models have real benefits. Do they outweigh the risks?

MIT Technology Review examines the open vs. closed AI model debate, highlighting benefits of democratization versus risks identified in Anthropic's recent security report on GLM-5.3.

L3 · BuilderOpinion & AnalysisLessWrong AI
Roko Mijic talks AI Risk on The Peter McCormack Show

Roko Mijic discusses AI safety risks including RL alignment problems, sandbox escapes, and proposes splitting frontier labs into separate commercial and research entities.

L2 · PractitionerOpinion & Analysis@emollick.bsky.social
Ethan Mollick (@emollick.bsky.social): Using Gemini 4 makes you realize how many other models must be distilling Claude/GPT (or using a similar training pipeline). It feels quite different than other models.

Ethan Mollick observes that Gemini 4 feels distinct from other AI models, suggesting many competitors are potentially distilling Claude or GPT training methods.

L1 · CuriousOpinion & AnalysisTechCrunch AI
Cerebras CEO pushes back on AI doomsday warnings

Cerebras CEO Andrew Feldman criticizes AI doomsday warnings, arguing industry leaders should emphasize AI's potential benefits like curing cancer rather than focusing on existential risks.

L2 · PractitionerOpinion & AnalysisHacker News
The gap in shared understanding of LLM capability is widening

Andrej Karpathy argues the LLM capability gap is widening dramatically, with only 0.2% of people experiencing frontier models' transformative impact on complex projects.