OpenAI News & Discussions

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[firestar464]

The one thing we need to know is how well current models perform in physical robots, as that's the final piece of the puzzle imo. I expect them to be AGI-quality, though I could also be wrong.

[zzz]

The one thing we need to know is how well current models perform in physical robots, as that's the final piece of the puzzle imo. I expect them to be AGI-quality, though I could also be wrong.

Physical humanoids robots, that's the true testing water.

[weatheriscool]

[firestar464]

[weatheriscool]

[weatheriscool]

[Cyber_Rebel]

People need to see and realize the good case examples AI is lending towards more often:

[weatheriscool]

https://www.linkedin.com/posts/peter-go ... 75552-kzWh

[firestar464]

People need to see and realize the good case examples AI is lending towards more often:

but but no!!1! ai slopp!!!!1! ai steals!!!1! we need to kill ai artist!!1! now give me likes and attention!!!1!

[firestar464]

[weatheriscool]

[Cyber_Rebel]

Introducing gpt-oss
gpt-oss-120b and gpt-oss-20b push the frontier of open-weight reasoning models

gpt-oss playground: https://www.gpt-oss.com/

Introduction
We’re releasing gpt-oss-120b and gpt-oss-20b—two state-of-the-art open-weight language models that deliver strong real-world performance at low cost. Available under the flexible Apache 2.0 license, these models outperform similarly sized open models on reasoning tasks, demonstrate strong tool use capabilities, and are optimized for efficient deployment on consumer hardware. They were trained using a mix of reinforcement learning and techniques informed by OpenAI’s most advanced internal models, including o3 and other frontier systems.

The gpt-oss-120b model achieves near-parity with OpenAI o4-mini on core reasoning benchmarks, while running efficiently on a single 80 GB GPU. The gpt-oss-20b model delivers similar results to OpenAI o3‑mini on common benchmarks and can run on edge devices with just 16 GB of memory, making it ideal for on-device use cases, local inference, or rapid iteration without costly infrastructure. Both models also perform strongly on tool use, few-shot function calling, CoT reasoning (as seen in results on the Tau-Bench agentic evaluation suite) and HealthBench (even outperforming proprietary models like OpenAI o1 and GPT‑4o).

[weatheriscool]

[wjfox]

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[weatheriscool]

[wjfox]

Embarrassing. The flagship product of the world's leading AI company, and the first graph they showed in that livestream was formatted incorrectly.

[wjfox]