I have often made same argument; agree with @ylecun that excessive focus on LLMs may delay HLAI/AGI
RESEARCH
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Chain-of-Thought Prompting Enhances Language Model Reliability
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Fascinating work combining chain-of-thought prompting and tool use to improve the reliability of language models.
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Anton and Jeff advance AI models for better human interaction
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Attribution —> economics Great work from Anton & Jeff. Feels like an important step towards models that work better for humans.
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No Course Recordings Available Yet, Stanford MLSys Guest Lectures Planned
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There are no recordings yet. Will keep eye on it in case they release them. (For new iteration of the course, there are guest lectures being hosted in collaboration with Stanford MLSys, https://
mlsys.stanford.edu) -
Generative Models: How They Copy Expressions and Compete with Authors
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The PDF you linked is fascinating! Only written three years ago but feels very dated already… With generative models you could argue the purpose is Expressive. The generative models copy the expressions and compete with the original author.
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Learning from Data and Generating: Self-Consistent Engineering Principles
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You're lost in limbo with these arguments. It's just learning from data and generating from what's learned. It's backed by self-consistent engineering principles.
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Consistency and Measurability in Research Override Concerns
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It doesn't matter if it's delusion or hallucination. It works as long as it's shown to be consistent with the theory, and in this case it's measurable. Non-profit research is allowed worldwide even if the data is copyrighted.
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Research Paper Recognition: From Marginal Interest to Lasting Impact
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I remember getting bad scores on that paper. Feels good to re-read the reviews now: "Marginally interesting. May or may not be cited."
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Three Data Science Career Lessons I Wish I’d Known
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3 Things I Wish I Knew When I Started Data Science: Looking back and realizing how I was wrong about the data science career. https://
kdnuggets.com/2023/01/3-thin
gs-wish-knew-started-data-science.html?utm_source=dlvr.it&utm_medium=twitter&utm_campaign=3-things-i-wish-i-knew-when-i-started-data-science
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LLMs Are English-to-English Machine Translation Systems
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Lost on most people: every time you used http://
translate.google.com for past 20 years, an LLM was used. The main difference now: we’re translating English prompts to chat-inspired predictions also in English. LLMs are basically English-to-English machine translation