Art of Problem Solving

Art of Problem Solving

Advanced math education for motivated students

About Art of Problem Solving

Simplify's Rating
Why Art of Problem Solving is rated
B
Rated B on Competitive Edge
Rated A on Growth Potential
Rated C on Rating Differentiation

Industries

Education

Company Size

501-1,000

Company Stage

N/A

Total Funding

N/A

Headquarters

San Diego, California

Founded

2003

Overview

Art of Problem Solving (AoPS) specializes in advanced math education for middle and high school students, offering online classes, textbooks, and math games that cover topics from prealgebra to calculus. The company targets motivated students and their parents who seek challenging content and problem-solving skills, setting AoPS apart from other educational resources. Revenue is generated through direct sales of courses and materials, as well as subscription services. The goal of AoPS is to prepare students for competitive exams and foster a strong foundation for future careers in STEM fields.

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Simplify's Take

What believers are saying

  • Growing interest in AI-driven tools could lead to partnerships with models like Gemini 2.0.
  • Gamification trends in education can enhance AoPS's math games, increasing student engagement.
  • Global STEM initiatives drive demand for advanced math education, aligning with AoPS's offerings.

What critics are saying

  • Free AI models like Google's Gemini 2.0 may attract AoPS's target audience.
  • Increased competition in online education could challenge AoPS's market position.
  • Dependence on niche market limits AoPS's growth potential beyond advanced math students.

What makes Art of Problem Solving unique

  • AoPS specializes in advanced math education for grades 5-12, unlike standard curricula.
  • The company offers Olympiad-level courses, setting it apart from typical math programs.
  • AoPS provides both math and computer science classes, broadening its educational scope.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

401(k) Company Match

Paid Vacation

Relocation Assistance

Flexible Work Hours

Hybrid Work Options

Performance Bonus

Company News

VentureBeat
Jan 22nd, 2025
Google Releases Free Gemini 2.0 Flash Thinking Model, Pressuring Openai’S Premium Strategy

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn MoreGoogle has quietly released a major update to its popular artificial intelligence model, Gemini, which now explains its reasoning process, sets new performance records in mathematical and scientific tasks, and offers a free alternative to OpenAI’s premium services.The new Gemini 2.0 Flash Thinking model, released Tuesday in the Google AI Studio under the experimental designation “Exp-01-21,” has achieved a 73.3% score on the American Invitational Mathematics Examination (AIME) and 74.2% on the GPQA Diamond science benchmark. These results show clear improvements over earlier AI models and demonstrate Google’s increasing strength in advanced reasoning.“We’ve been pioneering these types of planning systems for over a decade, starting with programs like AlphaGo, and it is exciting to see the powerful combination of these ideas with the most capable foundation models,” wrote Demis Hassabis, CEO of Google DeepMind, in a post on X.com (formerly Twitter).Our latest update to our Gemini 2.0 Flash Thinking model (available here: https://t.co/Rr9DvqbUdO) scores 73.3% on AIME (math) & 74.2% on GPQA Diamond (science) benchmarks. Thanks for all your feedback, this represents super fast progress from our first release just this past… pic.twitter.com/cM1gNwBoTO — Demis Hassabis (@demishassabis) January 21, 2025Gemini 2.0 Flash Thinking breaks records with million-token processingThe model’s most striking feature is its ability to process up to one million tokens of text — five times more than OpenAI’s o1 Pro model — while maintaining faster response times. This expanded context window allows the model to analyze multiple research papers or extensive datasets simultaneously, a capability that could transform how researchers and analysts work with large volumes of information.“As a first experiment, I took various religious and philosophical texts and asked Gemini 2.0 Flash Thinking to weave them together, extracting novel and unique insights,” Dan Mac, an AI researcher who tested the model, said in a post on X.com. “It processed 970,000 tokens in total

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