Hamel Husain
Person on 4 sites
Machine learning engineer and independent AI consultant; writes about LLM evaluation and tooling at hamel.dev.
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3 facts on wiqqi (opens wiqqi.app)
Who people, organisations and podcasts are, and how they connect, with sources.
Updated 2026-10-31 -
3 channels on ppll (opens ppll.app)
Where public figures publish, and what they are on record saying.
Updated 2026-11-01 -
7 beliefs on korrents (opens korrents.com)
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Evaluation and error analysis will remain necessary practices even if AI models become near-perfect. (opens korrents.com)
“Even with perfect models, you still need to verify they're solving the right problem. The need for systematic error analysis, domain-specific testing, and monitoring will still be important.”
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People cannot fully specify what they want from an AI system without first observing how it behaves. (opens korrents.com)
“Additionally, a LLM cannot read your mind, and research shows that people need to observe the LLM's behavior in order to properly externalize their requirements.”
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An artifact that is hard for its builder to verify is usually also hard for its users to verify. (opens korrents.com)
“Artifacts that are hard for you to verify are often hard for users too.”
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Evaluation and error analysis will remain necessary practices even if AI models become near-perfect. (opens korrents.com)
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11 recommendations on rcmnd (opens rcmnd.app)
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Amp (opens rcmnd.app)
“My daily drivers now include Amp, Cursor, and Claude Code. I still enjoy notebooks, but only for data analysis, machine learning, or other exploratory workflows where the iterative, visual nature of notebooks shines.”
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Cursor (opens rcmnd.app)
“My daily drivers now include Amp, Cursor, and Claude Code. I still enjoy notebooks, but only for data analysis, machine learning, or other exploratory workflows where the iterative, visual nature of notebooks shines.”
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Claude Code (opens rcmnd.app)
“My daily drivers now include Amp, Cursor, and Claude Code. I still enjoy notebooks, but only for data analysis, machine learning, or other exploratory workflows where the iterative, visual nature of notebooks shines.”
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Amp (opens rcmnd.app)