Build and launch apps to your team, using Codex: https://t.co/eyR0uDDbsq
— Greg Brockman (@gdb) 3 juin 2026
Build and launch apps to your team, using Codex:
PROMPT ENGINEERING
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Build and launch apps to your team using Codex
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Co-creating a story with a text generator simulacrum
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Remember that you are not talking to "the AI", but you are using a powerful text generator to co-create a story about the interaction between a user and the simulacrum of an Artificial Intelligence.
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Codex Mobile excels with super long-running prompts
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Codex Mobile is amazing with super long-running prompts
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Tokens as insane leverage: Codex on one machine example
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And this is just Codex, on one machine. Doesn’t even include my other machine, Claude, and Agent-S tokens. Tokens, when used correctly, are insane leverage.
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Annotations enable AI collaboration by selecting context for Codex queries
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Annotations will be a new way to collaborate with AI: users can select any context from the docs and ask Codex any questions.
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Drop video into Codex to recreate animations in MagicPath
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You can drop a video into Codex, tell it "recreate these animations in MagicPath" and it'll just do it pic.twitter.com/OYGG0etrfO
— Pietro Schirano (@skirano) 2 juin 2026You can drop a video into Codex, tell it "recreate these animations in MagicPath" and it'll just do it
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AI Engineering Toolkit: 100+ Libraries for LLMs, RAG, AI Agents
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AI Engineering Toolkit! I have curated a list of 100+ libraries and frameworks for training, fine-tuning, building, evaluating and deploying LLMs, RAG, and AI Agents. Categories of LLM Libraries include: • Vector Databases – Store and retrieve embeddings efficiently.
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AI writing similarity obvious when many respond to same prompt
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Another thing about AI writing is that while a single instance of AI writing on a topic may be fine, any situation where lots of people use AI to respond to a particular prompt (comments sections, homework, admissions essays) the similarities among responses is tediously obvious.
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Learn AI Engineering: 435 Lessons, 320h, Python, Rust, MCP, Free
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Learn AI engineering from scratch with this repository: → 435 lessons
→ 320 hours of content
→ Python, TypeScript, Rust…
→ Prompts, skills, agents, and MCP servers Practical exercises in each lesson
100% open source
Free Link below
