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“We’re not doing 30 bets a year”: Vijay Pande on betting small after running $4 billion at a16z

techcrunchindustryAI

1 day ago▲ 44

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techmeme

Unlike internet's one-dimensional, flat-fee growth, AI grows across two exponentials, user penetration and tokens per user, allowing AI labs' economics to work (Fin/@fi56622380)

industry

2 days ago▲ 24

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arxiv

SymboLLM-FE: LLM-Accelerated Symbolic Regression for Automated Feature Engineering on Tabular Data

arxivcs.LGpublisher:arxiv

2 days ago▲ 43

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hackernews

AI Engineer Notebooks – free, framework-free RAG/agents/evals on Colab

hackernews

3 days ago▲ 22

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py-evoFE: Automated Evolutionary Feature Engineering for Tabular ML in Python (Genetic Algorithms + Scikit-Learn + Polars) [P]

redditmachine-learningMachineLearning

3 days ago▲ 10

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hackernews

Engineered yeast for converting plastic and biomass compounds into food

hackernews

3 days ago▲ 30

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&#8220;We&#8217;re not doing 30 bets a year&#8221;: Vijay Pande on betting small after running $4 billion at a16z

Unlike internet&apos;s one-dimensional, flat-fee growth, AI grows across two exponentials, user penetration and tokens per user, allowing AI labs&apos; economics to work (Fin/@fi56622380)

SymboLLM-FE: LLM-Accelerated Symbolic Regression for Automated Feature Engineering on Tabular Data

AI Engineer Notebooks – free, framework-free RAG/agents/evals on Colab

py-evoFE: Automated Evolutionary Feature Engineering for Tabular ML in Python (Genetic Algorithms + Scikit-Learn + Polars) [P]

Engineered yeast for converting plastic and biomass compounds into food

“We’re not doing 30 bets a year”: Vijay Pande on betting small after running $4 billion at a16z

Unlike internet's one-dimensional, flat-fee growth, AI grows across two exponentials, user penetration and tokens per user, allowing AI labs' economics to work (Fin/@fi56622380)