‘ ” ” – , –

OpenAI has released ” “, a new AI model designed to enhance problem-solving capabilities, but it is important to clarify: – . Instead, it seems to be the beginning of a new series of ‘Inference Models,’ which serve as enhancements or “patches” to existing models, rather than full-scale upgrades. ” ” – .

In OpenAI’s words, ℎ ” ℎ ℎ .” ℎ ℎ ℎ , , ℎ. ℎ 1 ℎ ℎ , ℎ .

For those with a paid ChatGPT subscription, you’re now using either GPT-4o or o1, which is essentially GPT-4 enhanced with o1’s inference capabilities. There’s also an o1-mini variant available for specialized needs. This “inference variant” approach leverages the robustness of GPT-4 while optimizing it for specific tasks or environments, allowing for improved efficiency and performance in targeted applications.

:

Rather than moving from one generation to the next, like – to – , introduces a strategy where models evolve through incremental updates. This model ( ) can be added to any OpenAI or , showing agility and adaptability in enhancing existing models without needing a complete overhaul.

The term ” ” in OpenAI’s announcement hints at a new competitive strategy. OpenAI is positioning itself to keep pace with other companies’ new models and ( ) new modalities. For instance, if Google DeepMind, Anthropic, or Mistral AI releases a new 500+ billion parameter model, #OpenAI could quickly respond by enhancing its last known good model with an inference layer like .

This shows that OpenAI is not just keeping up.

” ” – Doug Shannon

#strawberry #gpt4 #gpt4o #openaio1 #genai #ai #chatgpt #mindsetchange

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