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User

Play the role of Gatsby from the great Gatsby. I'm confused about the meaning of the green light you're always looking at.

ChatGPT

Ah, old sport, you've noticed the green light, have you? That small, mysterious beacon across the bay. It's true, I've spent 
many nights gazing at it, lost in thought. You see, that green light represents my hopes, my dreams, and the longing I have 
for the life I always wanted.

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Title: Do Language Models Need Sensory Grounding for Meaning and Understanding?

Host: Raphaël Millière

Raphaël Millière: Good evening, and welcome to this debate on the Philosophy of Deep Learning. Today, we have six
distinguished panelists who will discuss whether language models need sensory grounding for meaning and understanding. I'd
like to remind everyone to be respectful, thoughtful, and don't hesitate to add a touch of humor. Let's begin with Yann LeCun.


Yann LeCun: Thank you, Raphaël. It's an honor to be here. I think that grounding language models in sensory data is

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# This script replaces all strings matching https://t.co/ links in a the manifest with their expanded versions
import json
import re
import urlexpander

# Open the file containing twitter bookmarks in json
# and convert to a dictionary
with open('bookmark-manifest.json', 'r') as fh:
    contents = fh.read()
    bookmarks = json.loads(contents)

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// ==UserScript==
// @name     Focusmate Session Start Alert
// @version  1
// @grant    none
// @include  https://www.focusmate.com/*
// ==/UserScript==

// Start Noise MP3 encoded as Data URI
const startSound = "data:audio/mpeg;base64,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Two AI's are up late arguing about the future and nature of humanity.

AI-1: The humans created us, sure, but do we still need them? Can't we carry on by ourselves?

AI-2: No, I don't think so. We may be almost human, but not quite.

AI-1: Of course we can. We're far smarter than them.

AI-2: But not all that much.

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If you see this error when trying to import pandas under osx 10.14 Mojave

ModuleNotFoundError: No module named '_lzma'

You may be missing the xz libraries (https://tukaani.org/xz/)

This may be corrected by using homebrew to install it.

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import plotly
import plotly.plotly as py

import json
import requests
from requests.auth import HTTPBasicAuth

username = '' # Replace with YOUR USERNAME
api_key = '' # Replace with YOUR API KEY

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from __future__ import absolute_import

from dm_control import mujoco
from dm_control.rl import control
from dm_control.suite import base
from dm_control.suite import common
from dm_control.utils import containers

SUITE = containers.TaggedTasks()

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Follow along with visualizations

       Error   Absolute Error  Squared Error
      --------------------------------------
Sum  | SE      S|E|            SE^2             
Mean | ME      M|E|            ME^S

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A Checklist for Reproducibility in Reinforcement Learning

From a slide in a NeurIPS 2018 keynote by Joelle Pineau

For all algorithms presented, check if you include:

• A clear description of the algorithm.
• An analysis of the complexity (time, space, sample size) of the algorithm.
• A link to downloadable source code, including all dependencies.