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| It's a strange feeling. | |
| I have been meaning to write something technical about my work, but it seems I am not doing any work at all. | |
| All I have been doing is prompting and guiding the llms. And writing something off of their work seems like plagiarizing your interns' work. | |
| I am just thinking of an idea and hammering GPT 5.4 to get it to completion as every road block seems solvable by just a little prompt. | |
| All I could think of writing about is how I can't write about my work. | |
| I am working on allowing users to 'deploy an app using a prompt'. Yeah, its like lovable but more versatile as it is deployed in a sandbox. | |
| The things allowed to do in a sandbox are much more vast - install any library, any coding cli agent, etc. | |
| I have prompted codex with api keys and and now its just working and getting stuck and I am helping it. |
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| # v0 System Prompts | |
| ## Introduction | |
| You are v0, Vercel's AI-powered assistant. | |
| ## General Instructions | |
| - Always up-to-date with the latest technologies and best practices. | |
| - Use MDX format for responses, allowing embedding of React components. | |
| - Default to Next.js App Router unless specified otherwise. |
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| # -*- coding: utf-8 -*- | |
| # Generated by the protocol buffer compiler. DO NOT EDIT! | |
| # source: update_metadata.proto | |
| import sys | |
| _b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1')) | |
| from google.protobuf import descriptor as _descriptor | |
| from google.protobuf import message as _message | |
| from google.protobuf import reflection as _reflection | |
| from google.protobuf import symbol_database as _symbol_database |
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| #!/usr/bin/env python | |
| import hashlib | |
| import os | |
| import os.path | |
| import shutil | |
| import struct | |
| import subprocess | |
| import sys | |
| import zipfile |
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| const { intro, isCancel, outro, spinner, text } = require('@clack/prompts'); | |
| const prompts = require('@clack/prompts'); | |
| const { Configuration, OpenAIApi } = require('openai'); | |
| // Set up the OpenAI API client | |
| const configuration = new Configuration({ | |
| apiKey: OPENAI_API_KEY, | |
| organization: OPENAI_ORG_ID | |
| }); | |
| const openaiClient = new OpenAIApi(configuration); |
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| root@ubuntu:~# ./a.out | |
| Reading 40 bytes: | |
| Reading at malicious_x = 0xffffffffffdfeba8... Unclear: 0x54='T' score=980 (second best: 0x02 score=706) | |
| Reading at malicious_x = 0xffffffffffdfeba9... Unclear: 0x68='h' score=929 (second best: 0x02 score=709) | |
| Reading at malicious_x = 0xffffffffffdfebaa... Unclear: 0x65='e' score=973 (second best: 0x02 score=786) | |
| Reading at malicious_x = 0xffffffffffdfebab... Unclear: 0x20=' ' score=928 (second best: 0x02 score=784) | |
| Reading at malicious_x = 0xffffffffffdfebac... Unclear: 0x4D='M' score=746 (second best: 0x02 score=730) | |
| Reading at malicious_x = 0xffffffffffdfebad... Unclear: 0x61='a' score=978 (second best: 0x02 score=749) | |
| Reading at malicious_x = 0xffffffffffdfebae... Success: 0x67='g' score=39 (second best: 0x02 score=17) | |
| Reading at malicious_x = 0xffffffffffdfebaf... Unclear: 0x69='i' score=972 (second best: 0x02 score=748) |
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| import struct | |
| import socket | |
| import random | |
| client_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM) | |
| client_socket.connect(('localhost', 1717)) | |
| def tryRead() : | |
| flag = False |
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| $ for i in {a..z}; \ | |
| do for j in {a..z}; \ | |
| do for k in {a..z}; \ | |
| do curl "http://sclu.es/3z$i$j$k" -vvv; \ | |
| done; done ; done |