Reasoning with o1

Build a tool or application using OpenAI’s o1 new model to automate complex problem-solving.

  • πŸ•’ 7 days to be among the first to experiment and build with OpenAI o1

  • πŸ’‘ Build innovative applications utilizing o1's advanced features

  • 🀝 Compete solo or collaborate with teammates

  • πŸš€ Dive into a 1-week virtual coding marathon, connecting with industry leaders

  • πŸ† A chance to join the Lablab NEXT acceleration program and fast-track your innovation
Reasoning with o1 event thumbnail

About OpenAI o1 & o1-mini

OpenAI o1-Preview is a developmental checkpoint in the ongoing training of the OpenAI o1 model, highlighting its potential but not yet representing the final release. This model is tailored for deep reasoning, helping solve complex problems in fields like science, math, and advanced coding.

OpenAI o1-preview:

β€’ Focus: Deep multi-step reasoning across complex tasks.


β€’ Strengths: Excels in science, mathematics, and coding challenges. It’s particularly good at step-by-step thinking, handling intricate tasks like advanced scientific modeling or solving difficult mathematical problems.


β€’ Use Case: Ideal for scientific research, advanced coding solutions, and mathematical competitions requiring high precision.

OpenAI o1-mini

β€’ Focus: Optimized for fast and cost-effective reasoning.


β€’ Strengths: While slightly reduced in scope, o1-mini retains core reasoning capabilities and excels in coding tasks requiring efficiency.


β€’ Use Case: Ideal for developers focusing on agile, cost-efficient solutions in coding, without sacrificing reasoning capabilities.

The o1 series marks a new chapter in AI-driven innovation, tailored to meet the demands of intricate challenges in various industries.

Hackathon Challenge

Participants are tasked with developing an AI-driven tool. Using OpenAI o1 or o1-mini that automates decision-making or problem-solving in real-world contexts. The key is to create innovative, AI-powered solutions for complex issues, using the deep reasoning capabilities of the o1 models.

β€’ Automate Problem Solving: Use OpenAI o1’s ability to break down multi-step problems and provide logical, reasoned solutions.

β€’ Develop Practical Applications: Focus on building tools that can make a meaningful impact in one of the suggested areas, but feel free to explore other fields where OpenAI o1's reasoning can solve complex real-world problems.

Key Requirements:

β€’ Use OpenAI o1’s reasoning power: Ensure your tool takes full advantage of the multi-step, deep reasoning capabilities.

β€’ Real-World Impact: The solution should address a practical problem that could be scaled or implemented in real-world settings.

Access OpenAI o1 with AI/ML API!

Hey builders! πŸš€


Exciting news for the approved participants who created or joined a team for the hackathon! Thanks to our partner AI/ML API you have a chance to get exclusive FREE access to OpenAI's o1 models. 

We’re giving away 1000 keys with $20 in AI/ML API credits, for the free subscription week with an access to o1-preview and o1-mini models to supercharge your AI projects! Access them by using a promo code that will be provided to approved participants via email. 

With over 100 models from OpenAI o1 & o1-mini, LLama, Qwen and Flux, the AI/ML API covers all your needs, from image generation to computer vision with just one API. βœ¨


Here’s how you can get started:

β€’ Read our article How to Access OpenAI's o1 Models and Who Can Use Them.


β€’ Access free subscription week by registering on AI/ML API website, choosing the Startup plan and entering the promo code. Access will be available for one week from the Hackathon start.

β€’ We recommend that participants monitor their token usage, as the o1-preview model is significantly more expensive than other language models. To manage costs more efficiently, we suggest using o1-mini model for prototyping.

β€’ For the technical support, visit AI/ML API Discord.   



⚠️ Important Notes:

β€’ Credits are provided by AI/ML API and are subject to their delivery.


β€’ Lablab is not responsible or liable if AI/ML API  does not provide the credits.

β€’ Please note that the AI/ML API is a subscription-based service. If you do not plan to continue using it after the hackathon, please remember to cancel your subscription to avoid any charges.



🎁 Don't miss out on this incredible opportunity. Gather your team and sign up now! β³βœ¨


Suggested Focus Areas

πŸ”¬ Scientific Research
 Automate experiments, build predictive models, or accelerate scientific workflows using AI-driven reasoning.
🩺 Healthcare
 Design tools for diagnostics, patient care, or medical decision-making to enhance healthcare outcomes.
πŸ’» Advanced Coding
Develop AI-powered assistants that can help solve complex coding tasks, automate workflows, or even suggest improvements to code logic.

NEXT AI Startup ideas

lablab NEXT is a dynamic, 6-week accelerator program designed to fast-track startup prototypes and MVPs (Minimum Viable Products) into the market. Participants receive intensive, hands-on guidance from industry experts, ensuring they have the tools, knowledge, and support necessary for success.


For our top performers from the lablab.ai community, it is an excellent opportunity to bring their innovative ideas to life and make a real impact in the competitive business world. 🌎


πŸ’‘ 
AI Startup ideas: 
Too many duplicate submissions are crowding already saturated areas. This document contains 200 unique ideas, each capable of becoming a successful AI companyβ€”and surprisingly, few of our hackers have explored them πŸš€

β€’ Use ideas from this document to inspire your hackathon project. Build an AI-powered tool that could form the basis for a startup, leveraging the power of OpenAI o1.


Prizes



πŸ† A fast-track to your interview for the lablab NEXT acceleration program.πŸ†





Please be aware that participation in lablab.ai hackathons is voluntary and subject to the specific rules and conditions outlined for each event. While we strive to provide a fair and rewarding experience for all participants, we cannot guarantee entry or success in securing prizes. All prizes and opportunities are subject to availability and participants must meet the established criteria to qualify. lablab.ai is not responsible nor held liable for any commitments or offers - including programs, giveaways, or prizes - made by third-party sponsors or partners of the hackathon. The availability and delivery of third-party prizes or benefits are solely at the discretion of the respective sponsors and are not guaranteed by lablab.ai. We reserve the right to make amendments, modifications, or cancellations to any part of the hackathon (including full cancellation of the event itself), including prizes and terms of participation, at our sole discretion. Whenever possible, we will endeavor to notify participants of significant changes within a reasonable timeframe. All submissions by participants must be original work, open source, and compliant with the MIT License unless specified otherwise. By participating, you agree to these terms, the overall event terms, and the lablab.ai general terms and are encouraged to review all event-related information carefully. Prize Distribution: lablab.ai and its partners reserve the right to distribute all prizes within a 90-day period following the end date of the hackathon. This period allows for the proper processing and verification needed to award prizes appropriately.

What to submit?

πŸ“‹ Basic Information

β€’ Project Title

β€’ Short Description

β€’ Long Description

β€’ Technology & Category Tags

πŸ“Έ Cover Image and Presentation

β€’ Cover Image

β€’ Video Presentation

β€’ Slide Presentation

πŸ’» App Hosting & Code Repository

β€’ Public GitHub Repository

β€’ Demo Application Platform

β€’ Application URL

For further details and guidance, please visit Submission Guidelines


Judging Criteria
Application of Technology
How effectively the chosen model(s) are integrated into the solution.
Presentation
The clarity and effectiveness of the project presentation.
Business Value
The potential impact and practical value of the solution.
Originality
Uniqueness and creativity in addressing the challenge.

Hackathon Details

Join lablab.ai hackathon and innovate using the latest models in the market. Discover all the relevant details below.

πŸ—“οΈ Where and when

The start date of the hackathon is mentioned according to the date specified on the hackathon page, cover and schedule. The hackathon will take place on the lablab.ai platform and lablab.ai Discord server.

πŸ¦ΈπŸΌβ€β™‚οΈ Who can join?

Everyone is welcome to participate, regardless of previous AI or coding experience! We encourage anyone with a passion for AI or an interest in exploring how it can be used in their field to join.

πŸ˜… What about teams?

If you don't have a team, don't worry! You can connect with other participants from all over the world on our dashboard or Discord server. We also recommend checking out our Discord server to find teammates and bounce around ideas. You can join the server here.

πŸ› οΈ How to participate

The hackathon will take place online on lablab.ai platform and lablab.ai Discord Server. Please register for both in order to participate. To participate click the "Enroll" button at the bottom of the page and read our Hackathon Guidelines and Getting Started Guide.

🧠 Get prepared / Use Lablab.ai to Learn About AI

To get ready for the hackathon, visit our AI Tech pages and read up on all the available technologies. You can also check out our tutorials page for more information on how to use them. Get a head start on your project by using the resources on lablab.ai!

Speakers

Pawel Czech
Pawel Czech
Co-Founder
New Native
Sergey Nuzhnyy
Sergey Nuzhnyy
Head of Developer Relations
AI/ML API
Emmanuel Iriarte
Emmanuel Iriarte
AI Architect
New Native
Jonathan Rundberg
Jonathan Rundberg
AI Automation Lead
New Native
Pawel Czech
Pawel Czech
Co-Founder
New Native
Sergey Nuzhnyy
Sergey Nuzhnyy
Head of Developer Relations
AI/ML API
Emmanuel Iriarte
Emmanuel Iriarte
AI Architect
New Native
Jonathan Rundberg
Jonathan Rundberg
AI Automation Lead
New Native
Alex Matthews
Alex Matthews
CEO
Remade
Rehan Sheikh
Rehan Sheikh
CTO
Remade
Blendi Bylygbashi
Blendi Bylygbashi
Co-Founder
Remade
Christos Antonopoulos
Christos Antonopoulos
Co-Founder
New Native
Pawel Czech
Pawel Czech
Co-Founder
New Native
Sergey Nuzhnyy
Sergey Nuzhnyy
Head of Developer Relations
AI/ML API
Emmanuel Iriarte
Emmanuel Iriarte
AI Architect
New Native
Jonathan Rundberg
Jonathan Rundberg
AI Automation Lead
New Native

Event Schedule

  • To be announced
Approved

0