Google's new AI crushes everything. True intelligence is here!

Introduction

Imagine an AI capable of discovering cures for rare cancers, designing intricate scientific experiments, and tackling complex math and physics problems that continue to stump humanity. This AI could lead to groundbreaking advancements in materials science, medicine, and our understanding of the universe. Recently, Google has made significant strides in this area.

In a blog post titled "AI Achieves Silver Medal Standard Solving International Mathematical Olympiad Problems," Demis Hassabis, head of Google Deep Mind, shared some thrilling developments. While Google has historically lagged behind competitors like OpenAI and Anthropic in language models, it is now on the verge of unveiling something radically different—an AI that combines the best of both natural language processing and logical reasoning.

The Current AI Landscape

Google's flagship model, Gemini, has been ranked behind models like GPT-4 and Claude 3.5 on the language model intelligence ranking leaderboard. Despite having access to vast amounts of user data from its search engine, Android, and numerous other platforms, Google's prior models didn't deliver the expected level of performance. But now, things are changing.

Hassabis announced a potent fusion of technology from previous successful projects: Alpha Proof and Alpha Geometry 2. These emergent systems have significantly improved Gemini's capabilities, leading to its recent acknowledgment as the top AI model, Gemini 1.5 Pro.

Breakthroughs with Alpha Proof and Alpha Geometry 2

Alpha Proof and Alpha Geometry 2 are foundational technologies enabling Google to tackle complex math challenges. Each has achieved impressive feats, scoring 28 out of 42 points at this year’s International Mathematical Olympiad (IMO), coming just one point shy of a gold medal. The International Math Olympiad is an elite competition featuring the world's brightest high school students tackling Olympiad-level math problems that require profound analytical and problem-solving skills.

Among their accomplishments, Alpha Proof recently solved the competition's hardest problem, previously tackled by only five human contestants. Similarly, Alpha Geometry 2 completed an intricate geometry problem in just 19 seconds—a testament to its blazing speed and analytical capability.

How These Systems Work

Alpha Proof

Alpha Proof combines Google’s Gemini natural language model with Alpha Zero, an AI adept at strategic games like chess and Go, employing self-play for reinforcement learning. When presented with a math problem, the model uses its language understanding capabilities to translate the question into a formal mathematical language. Alpha Zero then proposes multiple possible solutions, rigorously testing each until it identifies the correct answer.

Alpha Geometry 2

Similarly, Alpha Geometry 2 utilizes a hybrid neurosymbolic system that incorporates both natural language processing and advanced logical reasoning. It interprets complex geometry problems and generates numerous potential solutions, verifying them through the challenge of a symbolic engine designed for deep reasoning. This comprehensive approach enables the AI to solve geometrical issues that exceed the capabilities of most humans.

The Implications of These Developments

The implications of Google's innovations extend far beyond competitive math solving. By integrating Alpha Proof and Alpha Geometry into the Gemini model, Google aims to create an AI that possesses the ability to think deeply and reason logically. This AI could wrangle complex scientific inquiries, providing insights not just based on existing knowledge but also through innovative experimentation and exploration.

Looking Ahead

As technology progresses, we could one day have access to an AI that transforms scientific research. Instead of merely providing immediate answers, it might take the time needed for deep analysis, producing results refined through countless iterations. This level of thinking would be invaluable for solving pressing societal challenges, ranging from healthcare to fundamental scientific questions.

In conclusion, if Google successfully merges these capabilities, the potential for breakthroughs in multiple fields becomes staggering. This new AI will not only outperform human capabilities in particular domains but also begin to replicate the creative and logical problem-solving processes that underpin human innovation.

Keywords

• Google
• AI
• Gemini
• Alpha Proof
• Alpha Geometry
• International Mathematical Olympiad
• Reinforcement Learning
• Scientific Discovery
• True Intelligence

FAQ

Q1: What is Gemini?
A1: Gemini is Google's advanced large language model, recently enhanced with capabilities from Alpha Proof and Alpha Geometry to solve complex problems.

Q2: What is Alpha Proof?
A2: Alpha Proof is an AI system that combines natural language processing with reinforcement learning techniques to solve challenging mathematical problems.

Q3: What is Alpha Geometry 2?
A3: Alpha Geometry 2 is another AI system designed to tackle complex geometry problems, leveraging both natural language understanding and logical reasoning.

Q4: What are the implications of these advancements?
A4: These advancements could lead to significant breakthroughs in scientific research, enabling AI to perform deep analysis and rational problem-solving in fields like medicine and materials science.

Q5: How did Google's AI perform at the International Mathematical Olympiad?
A5: Google's AI scored 28 out of 42 points at the Olympiad, earning a silver medal status and solving some of the most complex math challenges presented at the competition.