Co-founder argues human oversight makes approach safer than autonomous AI self-improvement
1 Nov 2 6:13 PM · 5d ago · 2 articles · 3 posts · 2 sources · development 1 of 1
Michael Elabd positions Trajectory's continual learning as distinct from recursive self-improvement (RSI) because humans remain involved in the training process, reducing risks of unintended or dangerous outcomes from autonomous AI capability improvement.
“But what the economy values is someone who worked on the job for 30 years”
Ronak Malde, Trajectory co-founder · rss ↗Ronak Malde Trajectory co-founderMichael Elabd Trajectory co-founderArjun Karanam Trajectory co-founderSequoia Lead investor
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What was reported 1 claim about this development
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first by TechCrunch, 5d ago
What people said 3 voices · verbatim
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Trajectory raised a $45M Series A led by Sequoia and opened its continual learning platform 🔁 AI models keep improving from real product feedback. #AI #LLM #Startups
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Trajectory raises $45M at a $300M valuation to help nontechnical experts train AI models. Its platform uses feedback to improve open-source models for specialized tasks, with humans guiding the process. Source:
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提案書に入れた赤字も、AI改善の材料に。$45 millionを調達したTrajectoryは、現場の評価をモデルの再学習につなぎます。 僕ならまず「なぜ直したか」を残しますが、皆さんは修正理由まで記録していますか?
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