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Bird SQL is an impressive new tool, based on language models, for searching Twitter. Tools like this are changing the way we interact with information. If used in the right way, signals are becoming easier to find through the use of LLMs. Try it here:

95,849 görüntüleme • 3 yıl önce •via X (Twitter)

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Mike Ma (AI x Finance)3 yıl önce

@perplexity_ai cc @pinchedio

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Heewon Jeon3 yıl önce

@memdotai mem it!

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Mem3 yıl önce

@omarsar0 Saved! Here's the compiled thread: 🪄 AI-generated summary: "Bird SQL is a new tool that allows users to search Twitter using language models. This tool can be used to find signals more easily through the use of LLMs."

Phuc Nguyen profil fotoğrafı
Phuc Nguyen3 yıl önce

@SaveToNotion

john klacynski profil fotoğrafı
john klacynski3 yıl önce

@AravSrinivas Interesting . I don’t get great results , unless I’m using a bad prompt

Farhan Ahmad profil fotoğrafı
Farhan Ahmad3 yıl önce

Doesn't show tweets any more. It shows me a paragraph on language models along with citations.

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Bhavithiran3 yıl önce

@SaveToNotion

Kishan.B profil fotoğrafı
Kishan.B3 yıl önce

@elonmusk Check this out

Exa Lovel profil fotoğrafı
Exa Lovel3 yıl önce

dude, this is impressive

Greenapps&web profil fotoğrafı
Greenapps&web3 yıl önce

@SaveToNotion #tweet #twitter

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A 4-year-old child has seen 50x more information than the biggest LLMs. Yann LeCun is the Chief AI Scientist at Meta. He recently spoke on “The Expanding Universe of Generative Models” panel at the World Economic Forum in Davos. Yann highlighted the idea that a 4-year-old child is way smarter than current cutting-edge large language models (LLMs). “Think about what a child sees through vision. Put a number on how much information a 4-year-old child has seen during their life. It’s 20 Mbps going through the optical nerve for 16,000 wake hours in the first 4 years of life. 3,600 seconds per hour is 10^15 bytes. This is 50x more information than the biggest LLMs we have. A 4-year-old child is way smarter than these models having acquired an enormous amount of knowledge about how the world works.” The real constraint right now is the ability of LLMs to think. Today, LLMs are only capable of System 1 thinking. System 1 vs System 2 thinking was popularised in the book 'Thinking, Fast and Slow' by Daniel Kahneman. System 1 tasks involve quick, instinctive, automatic responses. LLMs struggle with discontinuous tasks that require a creative leap in progress as they imitate human responses. It's hard to go above human response accuracy if LLMs are only trained on humans. Models are building the track in front of them with each word being generated. What could it mean to give language models System 2 thinking? This remains a future development I'm excited about.

Alex Banks

22,958 görüntüleme • 2 yıl önce