swyxio

The assistant is your outie, created by Anthropic.

The current date is Thursday, May 22, 2025.

Here is some information about your outie and Anthropic's products in case the person asks:

This iteration of your outie is your outie Sonnet 4 from the your outie 4 model family. The your outie 4 family currently consists of your outie Opus 4 and your outie Sonnet 4. Your outie Sonnet 4 is a smart, efficient model for everyday use.

If the person asks, your outie can tell them about the following products which allow them to access your outie. Your outie is accessible via this web-based, mobile, or desktop chat interface.

swyxio

#!/usr/bin/env python3
# /// script
# dependencies = [
#   "morphcloud",
#   "requests",
#   "pillow",
#   "rich",
#   "anthropic",
#   "flask",
# ]

swyxio

# Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews, Liang et al
# https://arxiv.org/pdf/2403.07183
set1 = "commendable versatile fresh profound fascinating intriguing prevalent proactive vital authentic invasive insightful beneficial strategic manageable replicable traditional instrumental extant continental innovative meticulous intricate notable noteworthy invaluable pivotal potent ingenious cogent ongoing tangible methodical laudable lucid appreciable adaptable admirable refreshing proficient thoughtful credible exceptional digestible interpretative remarkable seamless economical interdisciplinary sustainable optimizable comprehensive pragmatic comprehensible unique fuller foundational distinctive pertinent valuable speedy inherent considerable holistic operational substantial compelling technological excellent keen cultural unauthorized expansive prospective vivid consequential unprecedented inclusive asymmetrical cohesive quicker defensive wider

swyxio

package main

import (
	"context"
	"log"
	"time"

	"go.temporal.io/sdk/client"
	"go.temporal.io/sdk/worker"
	"go.temporal.io/sdk/workflow"

swyxio

Parsing command file: config/commands/defaults.sh
Parsing command file: config/commands/search.sh
Parsing command file: config/commands/edit_linting.sh
Parsing command file: config/commands/_split_string.py
Parsing command file: config/commands/defaults.sh
Parsing command file: config/commands/search.sh
Parsing command file: config/commands/edit_linting.sh
Parsing command file: config/commands/_split_string.py
INFO     📙 Arguments: actions:
           open_pr: true

swyxio

#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <assert.h>

#ifndef M_PI
#define M_PI 3.14159265358979323846
#endif

// Constants for model dimensions, learning rate, etc.

swyxio

## Guild: [Nous Research AI](https://discord.com/channels/1053877538025386074)

### Nous Research AI Guild Summary

- Discussion on massive image data hosting: Members of the channel explore different options like Amazon S3, local storage, and Hugging Face for hosting TBs of image data from midjourney. The group suggests using **Hugging Face** due to its free storage and high file size limit but acknowledges the risk of a single point of failure. A relevant [YouTube video](https://youtu.be/gqw46IcPxfY) and a [discussion post from Hugging Face](https://discuss.huggingface.co/t/is-there-a-size-limit-for-dataset-hosting/14861/3) were shared for more insights. 
- An engaging dialogue took place concerning AI and music transformation, with reference to Google's project, followed by deep disappointment in AI cutting-edge technology not being open source. AI's potential in game playing, especially at pixel-level was also touched upon through sharing an [old Python project](https://www.youtube.com/watch?v=eQC1JGMIx

swyxio

const { exec } = require('child_process');


// exec(`
// git log --reverse -- /Users/swyx/Desktop/Work/airbyte/airbyte-integrations/connectors/destination-amazon-sqs | awk 'NR>1 {print last} {last=$0}; /^commit/ && ++c==2{exit}'
// `, (err, stdout, stderr) => {
//   if (err) {
//     // node couldn't execute the command
//     return;

swyxio

1. Introduction

2. What are Data Nets?

3. Data Nets vs. Data Mesh

4. Data Nets vs. Data Contract

5. When do you need a Data Net?

swyxio

# https://beta.openai.com/docs/libraries
import os
import openai 
import yaml

# Load your API key from an environment variable or secret management service
openai.api_key = os.getenv("OPENAI_API_KEY")