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Forwarded from DoomPosting
OpenAI releases o3 and o4-mini

Highlights,

(1) Reinforcement learning training — a DECADE after DeepMind thoroughly showed that the RL approach is the way to go, and AFTER OpenAI getting thoroughly wrecked by DeepSeek who heavily used the RL approach — OpenAI FINALLY gets off of their retarded wordcel asses, and starts to shift in the rotator direction, finally making much heavier use of RL training. OpenAI also pretends to be surprised in further confirming the ~unbounded RL training scaling laws that DeepMind thoroughly confirmed a decade ago.

(2) Real thinking with images — OpenAI FINALLY making images more of a first-class medium, “For the first time, these models can integrate images directly into their chain of thought. They don’t just see an image—they think with it.”

(3) Codex CLI — apparently a new AI agent, through which their latest models were trained to be good at using the terminal - huge for giving the AI real agency, instead of constantly needing help from humans for mundane things

(4) Agentic tool use — OpenAI FINALLY gives their top models full access to all their internal “tools”, and heavily trains the models with RL to best use the tools. Big question hear is WHY THE F&$& did they wait years before finally giving their top models full tool access. OpenAI had been weirdly restricting their top models to different arbitrary subsets of the tools up to now.

^^ OpenAI has finally done the few things critical needed to enable powerful agentic AIs

New huge AI wave finally inbound?

OpenAI Announcement

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Forwarded from DoomPosting
OpenAI Releases Codex

Codex CLI is built for developers who already live in the terminal and want ChatGPT‑level reasoning plus the power to actually run code, manipulate files, and iterate – all under version control. In short, it’s chat‑driven development that understands and executes your repo.

• Zero setup — bring your OpenAI API key and it just works!

• Full auto-approval, while safe + secure by running network-disabled and directory-sandboxed

• Multimodal — pass in screenshots or diagrams to implement features

• Fully open-source

Usage examples:

Interactive REPL:
codex

Initial prompt for interactive REPL:
codex "fix lint errors”

Non‑interactive "quiet mode”:
codex -q --json "explain utils.ts”

OpenAI Codex

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