Sam Altman says the o3-mini will be worse than the o1 pro 👀
0 replies14 likes
Vishal Dubey
Hey I am on Medial • 2m
I am making a tech app and I not good in coding so basically I am taking help of the ai for making. but chat gpt o1 or o3 model sucks because it has a bugs and also the code does not have the latest version and deepseek is avg so according to you gu
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Chamarti Sreekar
Passionate about Pos... • 22d
Think of models like hires.
Gemini Pro 1.5 is your generalist.
Claude 3.5 is your software developer.
GPT o3 is your PhD intern.
Don’t mix up the job descriptions.
🗣 OpenAI Introduces GPT-O3 — the Most Powerful Neural Network in History
The new AI model has already demonstrated fantastic results:
• 💡 Solves 87% of math problems, outperforming GPT-O1 by 3x
• 🏆 Achieved a 2727 rating on Codeforces, surp
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Jainil Prajapati
Turning dreams into ... • 1m
🚨 2025 AI RACE IS WILD! 🚨
Round about Q1 is DONE, and look at the SOTA lineup:
- GPT-4.5
- Claude 3.7 Sonnet
- Grok 3
- Gemini 2.5 Pro
- Qwen 2.5
- Llama 4
- GPT-4.1
- OpenAI O3-Mini
- DeepSeek R1
AND... O3 & O4-Mini dropping THIS WEEK
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Siddharth Chopra
Tech | AI | Business • 5m
What a crazy week in AI 🤯
Open ai dropped O1 and O1 pro model.. at the same time google silently dropped it’s new model to API which is better than O1 preview as per benchmark.
I’m not a gemini fan but google is really working hard on this. What d
OpenAI's 12-Day Series has finally ended, and on the last day, they announced the O3 and O3 Mini models, which have smashed all benchmarks!
1. O3 scored 2727 Coding Elo on Codeforces, ranking it equivalent to the 175th best coder globally.
2. On Ha
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Swastik Biswas
CTO @OctranTechnolog... • 2m
OpenAI has recently released their latest reasoning model, "o1-pro", in their developer APIs. It is estimated to be the most expensive AI model yet.
OpenAI is charging $150 per million tokens (~750,000 words) fed into the model and $600 per million
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Ayush Maurya
AI Pioneer • 5m
after the launch announcements of O3 by Open AI, What will choose from these two ?
Difference between previous llms(gpt4o/claude 3.5 sonnet/meta llama) and recent thinking/reasoning llms(o1/o3)
Think of older LLMs (like early GPT models) as GPS navigation systems that could only predict the next turn. They were like saying "Base