🚀 Google's AI Breakthrough in Math

Welcome, AI enthusiasts

Researchers at Google DeepMind have trained a new type of AI system capable of solving complex math problems from this year’s International Mathematical Olympiad. After months of speculation about its search ambitions, OpenAI has revealed SearchGPT, a "prototype" search engine that directly challenges Google. Meanwhile, Mistral launches 'Large 2', the second open-source AI model this week that’s on par with GPT-4o. Let’s dive in!

In today’s insights:

• Google DeepMind’s new AI systems can now solve complex math problems

• OpenAI announces SearchGPT in challenge to Google's search dominance

• Mistral’s ‘Large 2’ Next-Gen AI Model

Read time: 3 minutes

🗞️ LATEST DEVELOPMENTS

GOOGLE
🚀 Google DeepMind’s new AI systems can now solve complex math problems

Evolving AI: Google DeepMind's new AI systems solve complex math problems with advanced reasoning.

Key Points:

• Google DeepMind's AlphaProof and AlphaGeometry 2 successfully solved four out of six problems from the International Mathematical Olympiad (IMO).

• This achievement marks the first time any AI system has reached a medal-level performance in the IMO, winning a silver medal equivalent.

• The systems use reinforcement learning and advanced data translation to tackle complex algebra, number theory, and geometry problems.

Details:

Google DeepMind has developed two AI systems, AlphaProof and AlphaGeometry 2, capable of solving advanced math problems requiring deep logical reasoning. These systems achieved a silver medal equivalent at the International Mathematical Olympiad by solving four out of six complex problems. AlphaProof, using reinforcement learning, translates informal math problems into formal statements, while AlphaGeometry 2 focuses on geometry challenges. This marks a significant milestone, as no AI has previously performed at this level in such a prestigious competition. The AI's ability to handle diverse math problems, especially in algebra and number theory, showcases a substantial advancement in the field.

Why It Matters:

DeepMind sees the development of AI systems with advanced mathematical capabilities as having the potential to open up new areas of science and technology, and plans to release more technical details about AlphaProof in the future, while also exploring approaches to natural language reasoning based on the Gemini model. This breakthrough highlights how AI can drive innovation and help solve complex global challenges through interdisciplinary research.

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OPENAI
🔍 OpenAI announces SearchGPT in challenge to Google's search dominance

Evolving AI: OpenAI introduces SearchGPT, an AI-driven search engine offering quick, accurate answers with cited sources, aiming to revolutionize online information retrieval.

Key Points:

• AI-powered search engine providing real-time answers with explicit source links.

• Initially available to select users for feedback, with plans for broader integration.

• Partners like The Atlantic are included, ensuring content quality and reliability.

• SearchGPT may shift how users engage with web content, emphasizing direct answers over clicks.

Details:

It's official — OpenAI is coming for Google's search. OpenAI said it's testing SearchGPT, a temporary prototype of new AI search features that give you fast and timely answers with clear and relevant sources. The examples shown appear to result in more concise answers than a traditional Google, with summarized answers and links included at the bottom. It also shows more limited results, unlike Google, which has pages of related links.

The company said it's launching the tool to a small group of users for feedback and plans to integrate some version of the experience into ChatGPT. You can try to reserve a spot in line by clicking "join the waitlist" on the site.

Why It Matters:

OpenAI’s ‘SearchGPT’ is a direct challenge to Google’s search engine and Perplexity AI, currently the most-used AI search engine. Perplexity AI has already been gaining ground on Google but hasn’t become mainstream yet. OpenAI’s entry into the market will pressure Google to make some moves as well, in an industry they’ve dominated for so long.

MISTRAL
🤖 Mistral’s ‘Large 2’ Next-Gen AI Model

Evolving AI: Mistral’s Large 2 marks a leap in AI capabilities, enhancing code, reasoning, and multilingual support.

Key Points:

• Mistral Large 2 excels in code generation, mathematics, and multilingual processing, supporting 80+ coding languages.

• Offers superior performance and cost efficiency, achieving 84.0% accuracy on MMLU.

• Improved precision in following instructions and conducting lengthy, multi-turn conversations.

Details:

Mistral Large 2, with a 128k context window and 123 billion parameters, supports dozens of languages and over 80 coding languages. It achieves top-tier accuracy on benchmarks, rivaling models like GPT-4o. Enhanced reasoning and cautious response generation minimize errors. It's designed for efficient, concise outputs, ideal for business use, and is available under various licenses. Access it on la Plateforme, with broader availability via major cloud providers like Google Cloud Platform.

Why It Matters:

In the past two days, two GPT-4 level open-source AI models have been released: Mistral's Large 2 and Meta’s Llama 3.1. Mistral’s AI advancements position it as a key player for developers and businesses looking for high-quality, multilingual, and cost-efficient solutions. With versatile fine-tuning and deployment options, its applicability spans various industries. Is open-source the future of AI.

🔍 AI in Research

Nvidia is presenting over 20 papers featuring innovations in rendering, simulation, and generative AI. These advancements include new synthetic data generators and inverse rendering tools that significantly improve image quality and open up fresh possibilities for creating detailed 3D worlds, both real and imagined.

You can read the full blog with all the video’s here.

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