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- AI Cracks Math Humans Couldn’t -The Discovery Is Shocking
AI Cracks Math Humans Couldn’t -The Discovery Is Shocking
A Breakthrough in Mathematical Reasoning Reveals the Power—and Potential Risks—of Superintelligent AI

Welcome, AI Creators!
The race to build AI that makes real scientific breakthroughs just hit a turning point. DeepMind’s AlphaEvolve has uncovered mathematical solutions that have puzzled researchers since the 1960s — a true milestone in AI-driven discovery.
Today’s Highlights
AI Cracks Math Humans Couldn’t — The Discovery Is Shocking
Anthropic gears up to release new Sonnet & Opus models
OpenAI unveils its Safety Evaluations dashboard
4 new AI tools
4 fresh job openings you should know about
Researchers and AI enthusiasts have been amazed as a cutting-edge AI system recently solved complex mathematical problems that have stumped humans for decades. This breakthrough is poised to open new avenues in scientific research and problem-solving.
Google's AI just made math discoveries NO human has!
—Solved optimal packing of 11 and 12 hexagons in hexagons.
—Reduced 4x4 matrix multiplication from 49 operations to 48 (first advance in 56 years!)
and many more.AlphaEvolve is the AlphaGo 'move 37' moment for math. Insane.
— Deedy (@deedydas)
3:14 AM • May 15, 2025
Key Points:
AI tackles and solves long-standing math challenges
Potential to accelerate scientific and technological discovery
Demonstrates the growing power of AI in complex reasoning
🔍 Details
The AI uses advanced algorithms and machine learning techniques to analyze and solve math problems that were previously unsolved by human mathematicians. This discovery not only highlights AI’s growing capabilities in abstract thinking but also sets the stage for further innovations in both academia and industry.
💥 Why It Matters
By solving problems once considered too difficult, this AI breakthrough signals a new era where machines assist humans in pushing the boundaries of knowledge. It shows how AI can complement human intellect and tackle challenges beyond conventional methods.
Anthropic, a leading AI research company, is preparing to launch its latest language models, Sonnet and Opus, promising to enhance natural language understanding and generation capabilities.
Anthropic's upcoming Claude models, Sonnet and Opus, will enhance reasoning by seamlessly switching between thinking and tool use for problem-solving. Discover more: theinformation.com/articles/anthr…
#AIResearch
— The Information (@theinformation)
11:00 PM • May 14, 2025
Key Points:
Next-generation AI language models launching soon
Improved contextual understanding and creativity
Applications spanning chatbots, content creation, and more
🔍 Details
Sonnet and Opus represent Anthropic’s continued efforts to build safer, more reliable, and versatile AI models. These models will support a wide range of tasks, from conversational AI to complex content generation, designed with an emphasis on ethical AI deployment.
💥 Why It Matters
With these models, Anthropic is set to challenge the AI landscape, pushing innovation while focusing on safety and user trust. Their release could reshape how AI is integrated into everyday applications, offering smarter and more helpful tools.
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OpenAI has launched a new Safety Evaluations dashboard designed to provide transparency and insights into the performance and risks of AI models.
Key Points:
Real-time monitoring of AI model safety metrics
Increased transparency for developers and users
Helps identify and mitigate risks proactively
🔍 Details
The Safety Evaluations dashboard tracks various safety indicators across OpenAI’s models, allowing stakeholders to monitor issues such as bias, fairness, and reliability. It is part of OpenAI’s commitment to responsible AI development.
💥 Why It Matters
This tool empowers developers and organizations to better understand and address potential risks, fostering safer AI deployment. It’s a critical step toward building trust and accountability in AI technologies.
Latest tool Update
🔌 Gemini Advanced - Connect Google’s advanced assistant to GitHub repos
🤖 GPT 4.1 - OpenAI’s advanced coding model, now available in ChatGPT
🤳 TikTok AI Alive - Turn static images into dynamic videos for TikTok Stories
🐰 CodeRabbit - AI code reviews directly in Cursor, Windsurf, and VSCode
🔥🚀 Want to explore the latest AI tools & updates?
👉 Visit Now:https://nextfutureai.com/ai-tool-categories/
AI Job Opportunities
🧵 Figure AI - Softgoods Developer
🛠️ Shield AI - Prototype Technician
💸 Palantir Technologies - Financial Analyst
📊 Databricks - Product Designer
🧪 Writer - AI Researcher
⚙️ OpenAI - Software Engineer, Inference
Quick Tutorial
How to Create a Presentation With AI | How to Use Gamma AI for Presentations | Gamma AI Tutorial
This video demonstrates how to use Gamma AI, a platform that helps users quickly create professional presentations. It covers generating presentations from text or prompts, customizing themes and layouts, and exporting the final product.
Key Points
Gamma AI: Presentation creation.
Input: Text, prompts, files.
Customize: Cards, language, theme.
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📰 Everything else in AI today
OpenAI released a new GitHub connector for its Deep Research feature, allowing the tool to leverage and answer questions about codebases.
Tencent launched HunyuanCustom, a new open-source AI system that generates customized video from text, images, audio, and video inputs with consistent subjects.
Google introduced “implicit caching,” allowing its Gemini 2.5 models to automatically detect and reuse cached content from API requests for up to 75% cost savings.
Microsoft president Brad Smith revealed that the company’s employees are banned from using DeepSeek models, citing propaganda and data security concerns.
Chinese tech giant Baidu filed a patent for a system that uses AI to translate data from animal sounds, behavior, and emotional states into human language.
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