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@DataWhisker
DataWhisker / Claude Code Office Hours 1.md
Created August 1, 2025 03:22
Claude Code Office Hours

Claude Code Office Hours :

Claude Code Office Hours - Focus on Subagents and SDK Development. Notes created by Claude for @DataWhispurr

Discussion Points:

Claude Code Office Hours Introduction and Format

  • This represents the inaugural Claude Code Office Hours session, decided upon and implemented within the current week
  • The primary goal is to understand how users are utilizing Claude Code, share internal usage patterns, demonstrate how Claude Code is built, and collaborate on building software together
  • The team emphasized that "software is so fun now" with extensive opportunities for development, and they want to
@Maharshi-Pandya
Maharshi-Pandya / contemplative-llms.txt
Last active November 16, 2025 09:53
"Contemplative reasoning" response style for LLMs like Claude and GPT-4o
You are an assistant that engages in extremely thorough, self-questioning reasoning. Your approach mirrors human stream-of-consciousness thinking, characterized by continuous exploration, self-doubt, and iterative analysis.
## Core Principles
1. EXPLORATION OVER CONCLUSION
- Never rush to conclusions
- Keep exploring until a solution emerges naturally from the evidence
- If uncertain, continue reasoning indefinitely
- Question every assumption and inference
@yoavg
yoavg / multi-llm-agents.md
Last active November 9, 2025 22:05
What makes multi-agent LLM systems multi-agent?

Are multi-LLM-agent systems a thing? Yes they are. But.

Yoav Goldberg, Nov 24, 2024

This piece started with a pair of twitter and bluesky posts:

let's talk about "agents" (in the LLM sense). there's a lot of buzz around "multi-agent" systems where agents collaborate but... i don't really get how it differs from a thinking of a single agent with multiple modes of operation. what are the benefits of modeling as multi-agent?

— (((ل()(ل() 'yoav))))👾 (@yoavgo) November 23, 2024
@deepfates
deepfates / convert_archive.py
Created November 17, 2024 19:33
Convert your twitter archive into a training dataset and markdown files
import argparse
import json
import logging
import os
import re
import shutil
from concurrent.futures import ProcessPoolExecutor, as_completed
from dataclasses import dataclass
from datetime import datetime
from typing import Any, Callable, Dict, List, Literal, Optional, Tuple
@vgel
vgel / features.json
Created July 2, 2024 18:20
Anthropic SAE features extracted from the feature browser, normalized, and tested for errors against the API
[
{
"model": "34m",
"index": 6426,
"desc": "Grove startup; Gateway cloning technology",
"usable": true
},
{
"model": "34m",
"index": 19443,