4 ms·
> GPT‑5.3-Codex was co-designed for, trained with, and served on NVIDIA GB200 NVL72 systems. We are grateful to NVIDIA for their partnership. This is hilarious
by kingstnap 9mo ago
> GPT‑5.3-Codex was co-designed for, trained with, and served on NVIDIA GB200 NVL72 systems. We are grateful to NVIDIA for their partnership.
This is hilarious lol
- uh_uh 9mo agoHow so?
- Philpax 9mo agoThey're on shaky ground right now https://arstechnica.com/information-technology/2026/02/five-months-later-nvidias-100-billion-openai-investment-plan-has-fizzled-out/ https://arstechnica.com/information-technology/2026/02/five-...
- kingstnap 9mo agoIts kind of a suck up that more or less confirms the beef stories that were floating around this past week. In case you missed it. For example: Nvidia's $100 billion OpenAI deal has seemingly vanished - Ars Technica https://arstechnica.com/information-technology/2026/02/five-months-later-nvidias-100-billion-openai-investment-plan-has-fizzled-out/ https://arstechnica.com/information-technology/2026/02/five-... Specifically this paragraph is what I find hilarious. > According to the report, the issue became apparent in OpenAI’s Codex, an AI code-generation tool. OpenAI staff reportedly attributed some of Codex’s performance limitations to Nvidia’s GPU-based hardware.
- esafak 9mo ago> OpenAI staff reportedly attributed some of Codex’s performance limitations to Nvidia’s GPU-based hardware. They should design their own hardware, then. Somehow the other companies seem to be able to produce fast-enough models.
- sumedh 9mo ago> They should design their own hardware They made a deal with Cerebras for fast inference.
- dajonker 9mo agoThere was never a $100 billion deal. Only a letter of intent which doesn't mean anything contractually.