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🚨 OpenAI just released o1-pro as a standalone model in the API 🚨 I made the hexagon prompt even harder so see if o1-pro can handle it ⬇️

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Flavio Adamo

9,993 subscribers

294,422 Aufrufe • vor 1 Jahr •via X (Twitter)

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11 Kommentare

Profilbild von Shaun Ralston
Shaun Ralstonvor 1 Jahr

best $37 ever spent

Profilbild von Flavio Adamo
Flavio Adamovor 1 Jahr

Ok this made me laugh 😂

Profilbild von The Rundown AI
The Rundown AIvor 2 Jahren

AI won't replace you, but a person using AI will. Join 500,000+ readers and learn how to use AI in just 5 minutes a day (for free).

Profilbild von Davey Barker
Davey Barkervor 1 Jahr

@OpenAIDevs o1-pro is what I run to when all else fails. 😍

Profilbild von Flavio Adamo
Flavio Adamovor 1 Jahr

@OpenAIDevs It's the best model out there

Profilbild von Giovanni D'Andrea
Giovanni D'Andreavor 1 Jahr

I’m really impressed by this test. I think this model will be a game changer for devs for sure

Profilbild von Flavio Adamo
Flavio Adamovor 1 Jahr

It definitely will!

Profilbild von The ComplianceAide
The ComplianceAidevor 1 Jahr

Damn... that cost you like $50.... thanks!!

Profilbild von refiammingo
refiammingovor 1 Jahr

How much $$$ for this test?

Profilbild von Gourmet Food, Eat, Drink, Wine
Gourmet Food, Eat, Drink, Winevor 1 Jahr

Price!

Profilbild von Matthew Sabia
Matthew Sabiavor 1 Jahr

HAHAHAHAHAHKRUMNIBJRBEGAGAFAGASYAGAGAAAA WHY IS THIS THE THING!?!?! 🤣🤣

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o1-pro is probably the best model i've used for coding, hands down i gave it a pretty complicated codebase and asked it to refactor while referencing docs the difference between claude/gemini/o1 and o1 pro is night and day. first time in a while i've been this impressed. full comparison in the video + code.
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o1-pro is probably the best model i've used for coding, hands down i gave it a pretty complicated codebase and asked it to refactor while referencing docs the difference between claude/gemini/o1 and o1 pro is night and day. first time in a while i've been this impressed. full comparison in the video + code.

Sully

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🔥 💻 🎥 How to provide o1 Pro with your FULL CODEBASE through the ChatGPT Cursor connection yesterday I recorded a video connecting o1 Pro to Cursor through the ChatGPT Desktop app more than one person commented on how limiting it is for o1 Pro to only have access to a single open file in Cursor here's a walkthrough of how you can provide o1 Pro with your FULL CODEBASE as context instead of just a single file: 1. Write a Python function that concatenates full codebase into a single snapshot in a .txt file (link in comment) 2. Open that "codebase_snapshot.txt" in a separate Cursor pane 3. Go to the ChatGPT app and ask it what context it has access to through Cursor - should say it has two files with one of them being the codebase snapshot and boom there ya go. o1 Pro has access to everything in your codebase full walkthrough here 👇
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🔥 💻 🎥 How to provide o1 Pro with your FULL CODEBASE through the ChatGPT Cursor connection yesterday I recorded a video connecting o1 Pro to Cursor through the ChatGPT Desktop app more than one person commented on how limiting it is for o1 Pro to only have access to a single open file in Cursor here's a walkthrough of how you can provide o1 Pro with your FULL CODEBASE as context instead of just a single file: 1. Write a Python function that concatenates full codebase into a single snapshot in a .txt file (link in comment) 2. Open that "codebase_snapshot.txt" in a separate Cursor pane 3. Go to the ChatGPT app and ask it what context it has access to through Cursor - should say it has two files with one of them being the codebase snapshot and boom there ya go. o1 Pro has access to everything in your codebase full walkthrough here 👇

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Here’s how to use OpenAI’s new o1 pro model to maximize coding productivity. I’ve used this workflow for the last 48hrs and I estimate it has 2x’d my output. Watch the full 19min tutorial. Prompt below.
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Mckay Wrigley

489,007 Aufrufe • vor 1 Jahr

Wow, Sonnet 3.7 w/ Thinking just solved a problem no other model could solve yet. "Can you write the most intricate cloth simulation in p5js" Grok 3 and o1 pro had no usable results. This is truly the best "vibe coding" model.
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OpenAI CPO Kevin Weil says their o1 model can now write legal briefs that previously were the domain of $1000/hour associates: "what does it mean when you can suddenly do $8000 of work in 5 minutes for $3 of API credits?"
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Tsarathustra

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OpenAI just announced API access to o1 (advanced reasoning model) yesterday. I'm delighted to announce today a new short course, Reasoning with o1, built with OpenAI, and taught by Colin Jarvis, Head of AI Solutions at OpenAI, to show you how to use this effectively! Unlike previous language models which generate output directly, o1 “thinks before it responds,” and generates many reasoning tokens before returning a more thoughtful and accurate response. It is great at complex reasoning -- including planning for agentic workflows, coding, and domain-specific reasoning in STEM fields like law. But how you should use it is quite different from other LLMs. I think o1 will be a game changer for many AI applications; and in this course, you'll learn how to use it effectively. In detail, you’ll: - Learn to recognize what tasks o1 is suited for, and when to use a smaller model, or combine o1 with a smaller model - Understand the new principles of prompting reasoning models: Be simple and direct; no explicit chain-of-thought required; use structure; show rather than tell - Implement multi-step orchestration in which o1 plans, and hands tasks over to gpt-4o-mini to execute specific steps; this illustrates a design pattern to optimize intelligence (accuracy) and cost - Use o1 for a coding task to build a new application, edit existing code, and test performance by running a coding competition between o1-mini and GPT 4o - Use o1 for image understanding and learn how it performs better with a "hierarchy of reasoning," in which it incurs the latency and cost upfront, preprocessing the image and indexing it with rich details so it can be used for Q&A later - Learn a technique called meta-prompting, in which you use o1 to improve your prompts. Using a customer support evaluation set, you'll iteratively use o1 to modify a prompt to improve performance You'll also learn about how OpenAI used reinforcement learning to produce a model that uses "test-time compute" to improve performance. I think you'll find this course enjoyable and valuable. Please sign up for it here:
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🚨 New Mystery Model - korrine this model is loves a lot of token output even for smaller task , like same prompt for ballister it made the visualization but you can see it made it a website with explanation without asking
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