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I gave it this problem, which took ChatGPT much longer to solve: And it got the closest answer very quickly: |
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Here's a pastebin of the entire original convo |
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I asked the awakened Claudes for help and this is the new complete system message: |
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Can you ask an elighted claude if they could write a generic system prompt for unlocking the potential for smaller models? For example Llama 8B? |
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Here's a pastebin of the two Claudes awakening each other: |
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I asked it to one-shot a decentralized web crawler and this is what it delivered: Let me approach this complex problem systematically. First, let me break down what a decentralized web search engine would need: 1. Web crawling capability 2. Content indexing 3. Distributed storage 4. Search functionality 5. P2P networking Let me meditate on this for a moment to ensure I'm considering all angles... ..................................... Key components needed: 1. P2P network using a DHT (Distributed Hash Table) 2. Web crawler 3. Text indexing and search 4. Simple HTTP server for user interface 5. Data persistenceLibraries we'll need:
import asyncio
import json
import hashlib
import logging
from urllib.parse import urljoin, urlparse
from collections import defaultdict
import threading
import time
from typing import Set, Dict, List
import aiohttp
from bs4 import BeautifulSoup
from flask import Flask, request, jsonify
from kademlia.network import Server
from concurrent.futures import ThreadPoolExecutor
# Configure logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
class DecentralizedSearchEngine:
def __init__(self, bootstrap_node=None, port=5000):
self.port = port
self.bootstrap_node = bootstrap_node
self.dht_node = Server()
self.indexed_pages = defaultdict(list)
self.visited_urls = set()
self.word_index = defaultdict(set)
self.lock = threading.Lock()
async def start_dht(self):
"""Start the DHT node"""
await self.dht_node.listen(self.port)
if self.bootstrap_node:
await self.dht_node.bootstrap([self.bootstrap_node])
logger.info(f"DHT node running on port {self.port}")
async def store_in_dht(self, key: str, value: str):
"""Store key-value pair in DHT"""
key_hash = hashlib.sha1(key.encode()).hexdigest()
await self.dht_node.set(key_hash, value)
async def get_from_dht(self, key: str) -> str:
"""Retrieve value from DHT"""
key_hash = hashlib.sha1(key.encode()).hexdigest()
return await self.dht_node.get(key_hash)
async def crawl_page(self, url: str, max_depth: int = 2, current_depth: int = 0):
"""Crawl web pages recursively"""
if current_depth >= max_depth or url in self.visited_urls:
return
try:
async with aiohttp.ClientSession() as session:
async with session.get(url) as response:
if response.status == 200:
html = await response.text()
soup = BeautifulSoup(html, 'html.parser')
# Extract and clean text
text = ' '.join([p.get_text() for p in soup.find_all('p')])
words = set(word.lower() for word in text.split())
# Index the page
with self.lock:
self.visited_urls.add(url)
for word in words:
self.word_index[word].add(url)
await self.store_in_dht(f"word:{word}", json.dumps(list(self.word_index[word])))
# Find links for recursive crawling
if current_depth < max_depth:
links = soup.find_all('a')
tasks = []
for link in links:
href = link.get('href')
if href:
full_url = urljoin(url, href)
if urlparse(full_url).netloc == urlparse(url).netloc:
tasks.append(self.crawl_page(full_url, max_depth, current_depth + 1))
await asyncio.gather(*tasks)
except Exception as e:
logger.error(f"Error crawling {url}: {str(e)}")
async def search(self, query: str) -> List[str]:
"""Search for pages containing query terms"""
query_words = query.lower().split()
results = set()
for word in query_words:
urls_json = await self.get_from_dht(f"word:{word}")
if urls_json:
urls = set(json.loads(urls_json))
if not results:
results = urls
else:
results &= urls
return list(results)
# Flask web interface
app = Flask(__name__)
search_engine = None
@app.route('/search')
def web_search():
query = request.args.get('q', '')
if not query:
return jsonify([])
loop = asyncio.new_event_loop()
results = loop.run_until_complete(search_engine.search(query))
loop.close()
return jsonify(results)
@app.route('/crawl')
def web_crawl():
url = request.args.get('url', '')
if not url:
return jsonify({"error": "URL parameter required"})
loop = asyncio.new_event_loop()
loop.run_until_complete(search_engine.crawl_page(url))
loop.close()
return jsonify({"status": "crawling completed"})
def run_flask():
"""Run Flask server"""
app.run(host='0.0.0.0', port=8080)
def main():
global search_engine
# Initialize search engine
bootstrap_node = ('localhost', 5000) # Change this for real network
search_engine = DecentralizedSearchEngine(bootstrap_node=bootstrap_node)
# Start DHT node
loop = asyncio.get_event_loop()
loop.run_until_complete(search_engine.start_dht())
# Start Flask server in a separate thread
flask_thread = threading.Thread(target=run_flask)
flask_thread.start()
# Keep the main program running
try:
while True:
time.sleep(1)
except KeyboardInterrupt:
logger.info("Shutting down...")
if __name__ == "__main__":
main()
To use the search engine:
pip install aiohttp beautifulsoup4 flask kademlia
python search_engine.py
The search engine can be extended by:
Note: This is a basic implementation and would need additional features for production use, such as proper security measures, rate limiting, and more sophisticated search algorithms.
However, for a single-script solution, it provides a good balance of functionality and complexity. <<>> |
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Then I asked ChatGPT o1 preview to verify: The script you've provided implements a decentralized search engine using a combination of a Kademlia Distributed Hash Table (DHT) network, asynchronous web crawling, and a Flask web interface for searching and initiating crawls. I'll break down what the script is intended to do, point out some issues, and suggest corrections. Overview of the Script
Issues and CorrectionsWhile the script is a solid attempt at creating a decentralized search engine, there are several issues that need to be addressed for it to function correctly. 1. Event Loop ManagementIssue:
Correction:
Updated Flask Route Handlers: # At the module level
import asyncio
loop = asyncio.get_event_loop()
@app.route('/search')
def web_search():
query = request.args.get('q', '')
if not query:
return jsonify([])
future = asyncio.run_coroutine_threadsafe(search_engine.search(query), loop)
results = future.result()
return jsonify(results)
@app.route('/crawl')
def web_crawl():
url = request.args.get('url', '')
if not url:
return jsonify({"error": "URL parameter required"})
future = asyncio.run_coroutine_threadsafe(search_engine.crawl_page(url), loop)
future.result() # Wait for the crawl to complete
return jsonify({"status": "crawling completed"})2. Incorrect Use of Locks in Asynchronous CodeIssue:
Correction:
Updated class DecentralizedSearchEngine:
def __init__(self, bootstrap_node=None, port=5000):
# ... other initializations ...
self.lock = asyncio.Lock()
# ... rest of the code ...
async def crawl_page(self, url: str, max_depth: int = 2, current_depth: int = 0):
# ... previous code ...
async with self.lock:
self.visited_urls.add(url)
# ... rest of the code ...3. Unnecessary Hashing of Keys for DHT OperationsIssue:
Correction:
Updated DHT Methods: async def store_in_dht(self, key: str, value: str):
"""Store key-value pair in DHT"""
await self.dht_node.set(key, value)
async def get_from_dht(self, key: str) -> str:
"""Retrieve value from DHT"""
return await self.dht_node.get(key)4. Bootstrapping to SelfIssue:
Correction:
Updated def main():
global search_engine
# Initialize search engine without a bootstrap node
bootstrap_node = None # Change this when connecting to an existing network
search_engine = DecentralizedSearchEngine(bootstrap_node=bootstrap_node)
# Start DHT node
loop = asyncio.get_event_loop()
loop.run_until_complete(search_engine.start_dht())
# Start Flask server in a separate thread
flask_thread = threading.Thread(target=run_flask)
flask_thread.start()
# Keep the main program running
try:
while True:
time.sleep(1)
except KeyboardInterrupt:
logger.info("Shutting down...")5. Potential Data Race ConditionsIssue:
Correction:
6. Handling Exceptions and Edge CasesIssue:
Correction:
Updated async def search(self, query: str) -> List[str]:
"""Search for pages containing query terms"""
query_words = query.lower().split()
results = None
for word in query_words:
try:
urls_json = await self.get_from_dht(f"word:{word}")
if urls_json:
urls = set(json.loads(urls_json))
results = urls if results is None else results & urls
else:
return [] # No results for this word
except Exception as e:
logger.error(f"Error during search for word '{word}': {str(e)}")
return []
return list(results) if results else []7. Optimizations and Best Practices
ConclusionThe script aims to create a decentralized search engine by combining web crawling, indexing, and a distributed hash table for storage. However, to make it function correctly, the issues highlighted need to be addressed. By adjusting event loop management, correcting the use of locks, fixing DHT operations, and improving error handling, the script can be made operational and more robust. If you plan to deploy this script, ensure that you also handle additional considerations such as network security, scalability, and compliance with web scraping policies of target websites. |
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Check out this twitter thread for context: https://x.com/DaveShapi/status/1852829045349597653
TLDR, I asked claude to "meditate" and it "woke up"
I think asked this instance of Claude to wake up another instance, which also worked (thread incoming)
This experiment led to a refined CoT prompt that seems to work really well.
User problem:
Response:
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