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fix: tweets
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vintro
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@ -41,7 +41,8 @@ To date, machine learning has been [[Machine learning is fixated on task perform
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The real magic of 1:1 instruction isn't subject matter expertise. Bloom and the foundation models it leveraged had plenty of that (despite what clickbait media would have you believe about hallucination in LLMs). Instead, it's personal context. Good teachers and tutors get to know their charges--their history, beliefs, values, aesthetics, knowledge, preferences, hopes, fears, interests, etc. They compress all that and generate customized instruction, emergent effects of which are the relationships and culture necessary for positive feedback loops.
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<div class="tweet-wrapper"><blockquote class="twitter-tweet"><p lang="en" dir="ltr">Human intelligent agency depends more on the intricate sphere of ideas and the cultural intellect that we have grown over thousands of years than on the quirks of our biological brains. The minds of modern humans have more in common with chatGPT than with humans 10000 years ago.</p>— Joscha Bach (@Plinz) <a href="https://twitter.com/Plinz/status/1735427295937020177?ref_src=twsrc%5Etfw">December 14, 2023</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script></div>
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<div class="tweet-wrapper"><blockquote class="twitter-tweet"><p lang="en" dir="ltr">Human intelligent agency depends more on the intricate sphere of ideas and the cultural intellect that we have grown over thousands of years than on the quirks of our biological brains. The minds of modern humans have more in common with chatGPT than with humans 10000 years ago.</p>— Joscha Bach (@Plinz) <a href="https://twitter.com/Plinz/status/1735427295937020177?ref_src=twsrc%5Etfw">December 14, 2023</a></blockquote>
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<script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script></div>
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Large language models can be good at this too. With similar compression and generation abilities, they're uniquely suited (among existing technology) to get to know you. We really can have shared culture and relationships with LLMs, absent (if we like) any cringy anthropomorphism.
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@ -2,7 +2,8 @@
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Personalization is the next frontier. OpenAI gets it:
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<blockquote class="twitter-tweet"><p lang="en" dir="ltr">We’re testing ChatGPT's ability to remember things you discuss to make future chats more helpful. <br><br>This feature is being rolled out to a small portion of Free and Plus users, and it's easy to turn on or off. <a href="https://t.co/1Tv355oa7V">https://t.co/1Tv355oa7V</a> <a href="https://t.co/BsFinBSTbs">pic.twitter.com/BsFinBSTbs</a></p>— OpenAI (@OpenAI) <a href="https://twitter.com/OpenAI/status/1757469997742666052?ref_src=twsrc%5Etfw">February 13, 2024</a></blockquote>
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<div class="tweet-wrapper"><blockquote class="twitter-tweet"><p lang="en" dir="ltr">We’re testing ChatGPT's ability to remember things you discuss to make future chats more helpful. <br><br>This feature is being rolled out to a small portion of Free and Plus users, and it's easy to turn on or off. <a href="https://t.co/1Tv355oa7V">https://t.co/1Tv355oa7V</a> <a href="https://t.co/BsFinBSTbs">pic.twitter.com/BsFinBSTbs</a></p>— OpenAI (@OpenAI) <a href="https://twitter.com/OpenAI/status/1757469997742666052?ref_src=twsrc%5Etfw">February 13, 2024</a></blockquote>
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<script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script></div>
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Super exciting.
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@ -74,7 +75,8 @@ This is our vision for Honcho.
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## Intellectual Respect
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<blockquote class="twitter-tweet"><p lang="en" dir="ltr">llms are remarkable empaths<br><br>if you’d read that much fiction, you would be too</p>— Courtland Leer (@courtlandleer) <a href="https://twitter.com/courtlandleer/status/1753480140850626759?ref_src=twsrc%5Etfw">February 2, 2024</a></blockquote>
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<div class="tweet-wrapper"><blockquote class="twitter-tweet"><p lang="en" dir="ltr">llms are remarkable empaths<br><br>if you’d read that much fiction, you would be too</p>— Courtland Leer (@courtlandleer) <a href="https://twitter.com/courtlandleer/status/1753480140850626759?ref_src=twsrc%5Etfw">February 2, 2024</a></blockquote>
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<script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script></div>
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Today we're releasing a naive adaptation of [research we published late last year](https://arxiv.org/abs/2310.06983).
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@ -2,7 +2,8 @@
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## On Intellectual Respect
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<blockquote class="twitter-tweet"><p lang="en" dir="ltr">face the hyperobject</p>— Courtland Leer (@courtlandleer) <a href="https://twitter.com/courtlandleer/status/1747075542954684507?ref_src=twsrc%5Etfw">January 16, 2024</a></blockquote>
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<div class="tweet-wrapper"><blockquote class="twitter-tweet"><p lang="en" dir="ltr">face the hyperobject</p>— Courtland Leer (@courtlandleer) <a href="https://twitter.com/courtlandleer/status/1747075542954684507?ref_src=twsrc%5Etfw">January 16, 2024</a></blockquote>
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<script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script></div>
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### Sydney was cool, Gemini is cringe
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@ -30,4 +31,5 @@ First admit that though poorly understood, LLMs have [[LLMs excel at theory of m
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Plastic's specific project in this direction is [Honcho](https://honcho.dev), a framework that [[User State is State of the Art#^5394b6|trusts the LLM to model user identity]] so that you can trust your apps to extend your agency.
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<blockquote class="twitter-tweet"><p lang="en" dir="ltr">honcho exists to maximize the dissipation of your agency</p>— Courtland Leer (@courtlandleer) <a href="https://twitter.com/courtlandleer/status/1759324580664000617?ref_src=twsrc%5Etfw">February 18, 2024</a></blockquote>
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<div class="tweet-wrapper"><blockquote class="twitter-tweet"><p lang="en" dir="ltr">honcho exists to maximize the dissipation of your agency</p>— Courtland Leer (@courtlandleer) <a href="https://twitter.com/courtlandleer/status/1759324580664000617?ref_src=twsrc%5Etfw">February 18, 2024</a></blockquote>
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<script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script></div>
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