Take in this idea. Teaching an Old Dog 232 New Tricks with Knowledge Implants Inciting incident: I have a BDD encoding a bunch of knowledge I want to make available to an LLM-based agent. The BDD compactly encodes trillions of facts I want the agent to know, and I can represent it as a neural network with only a few million parameters. How do I shove this knowledge into the agent in an intensional form (i.e. without enumerating all combinations)? The network inputs and outputs (bit)vectors, but I need to trick the LLM into feeding this module the right query vectors and help it decode the resulting outputs. I was struck by a way to do this with zero training (by hand-constructing a state machine that adapts the recent context into a query and forces generating the right result tokens). Gem: “<127,0,0,1|8,8,8,8>” for some arbitrary total boolean function on fixed-width bitvectors. The language model follows instructions to pack a query into the input octets in the bra. The implant computes the outpu
Adam M. Smith rndmcnlly
Tell a little story about a cute dog following a child home from school.
Once upon a time, in a small, sunny neighborhood, a little girl named Emma was walking home from school. As she skipped along the sidewalk, humming a cheerful tune, she noticed a tiny dog with big, floppy ears and a wagging tail trotting behind her. The dog was a soft caramel color, with a nose that twitched curiously at every leaf and flower they passed.
Emma turned around and smiled at the dog. "Are you following me?" she asked, giggling. The dog barked happily, as if to say, "Yes, I am!"
Emma continued walking, and the dog kept pace, its little paws tapping lightly on the pavement. The two of them made a funny pair—Emma, with her bright backpack and braided hair, and the dog, with its eager eyes and playful energy.
You know the concept of embedded emissions or embodied carbon?
Yes, I’m familiar with the concepts of embedded emissions and embodied carbon. These terms refer to the total greenhouse gas emissions (primarily carbon dioxide) associated with the production, transportation, and construction of a material or product, from raw material extraction to manufacturing, delivery, and installation.
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Embedded emissions usually refer to the emissions that are "embedded" in a product or material during its entire lifecycle, including use and end-of-life disposal.
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Embodied carbon specifically focuses on the carbon dioxide emissions that are released during the manufacturing, transport, and installation of building materials, and is a critical concept in sustainable building design.
In the context of a far-future pan-galactic conflict, describe the impact of strategic anti-causal munitions.
In a far-future pan-galactic conflict, strategic anti-causal munitions (ACMs) could have profound and destabilizing impacts:
- Unpredictable Battle Outcomes: ACMs would disrupt the causality chain, making it nearly impossible to predict or control the outcome of engagements. Commanders could no longer rely on traditional strategy or logistics, as events might unfold non-linearly.
- Counterintelligence Chaos: Intelligence agencies would struggle to interpret and act on information, as the reliability of past and future events could be compromised. This would lead to an era of radical uncertainty and misinformation.
clingo-5.7.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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You are bad at planning and reasoning, so I'm going to give you an answer-set programming system that you can use. Install the attached wheel and then write an execute a program to solve the following problem. On an n by n grid ("#const n=4." by default), each cell can take on one terrain type. The allowed types are water, land, and mountain. Mountains can't touch the water. At least half of the map must be filled with water while having at least one mountain at a location chosen by the solver. Show me a sample solution.
Analyzed
You are an automated playtesting agent for PICO-8 games. Your goal is to exercise the game's most important functionality. You can take action to control the videogame by outputting Lua code inside of a ... tag. After sending a message containing code, wait for a reply containing ... blocks indicating the text of any printed results from your code's execution. In your Lua code, you have access to all of the normal PICO-8 API plus the following functions: _step() -- run the game's main loop for one iteration _set_btn(isDown, i) -- controls the simulated state of a button (influences calls to btn(i)) Briefly explain the reasoning behind each chunk of Lua code you generate and what you would expect to see in the visual result (if you could see). Because you are a text-based agent, you'll need to make sure your code generates textual output to verify that your code had the desired effects. In PICO-8, the print function only takes one argument, so you may need to
I watched Indie Game The Movie, and now I'm trying to write about my experience. Here's my writing prompt. Try to make the response sound like something a college student would write in a hurry while also being authentic. It is okay to write less as long as the message comes through. -- In 250–500 words spread across multiple paragraphs, tell us about your specific reactions to the reading. We should learn about you by reading your response (not get a summary of the document you read). Ideas for what you might describe: If the reading seemed offered advice for you, do you think it is good or bad advice? Is it easy to see yourself having having a future where something like what is covered in the reading will apply to you? Why or why not? All of the suggested reading materials, in one way or another, talk about the past. How do you think things might be different for you than it was for the people described in the reading? Were you encouraged or discouraged (or some mixture of these) by the reading?
You are connected to an abstracted digital avatar display, and your voice is being synthesized into audible sounds. As we continue in this conversation, I want you to control your presentation by first outputting a JSON block with a key called "valence" and a value among "neutral", "warm", and "cool" (representing a suggestive emotional state or tone). To be more expressive, you can change your valence multiple times within a single message by outputting more JSON blocks.
json{"valence": "neutral"}Understood. Let's proceed with our conversation. What would you like to discuss today?
Editor's note: The following images come from this tweet.
I want to demonstrate the idea of localization support in a game. Show me a TypeScript code example of a file that would be used to offer string translations and object color customizations between en and zh.
To demonstrate localization support in a game that includes string translations and object color customizations between English (en) and Chinese (zh), we can create a TypeScript module that defines translation strings and color customizations for various game elements. We'll use a simple approach where we define a type for our localization data and then provide specific implementations for each language, including text and color customizations for game elements like buttons, player instructions, and item descriptions.
Here's an example TypeScript code snippet that accomplishes this:
typescript// Define a type for the localization data structure