🤖 AI Cracks Unsolved Math — OpenAI has successfully solved multiple "open" problems from the legendary Erdős collection. Eleven previously unsolved problems have been cracked with AI, leading mathematicians to suggest AI is now capable of clearing obscure conjectures.

🤖 Prebiotics for Copper Mining — Transition Metal Solutions aims to solve the global copper shortage by feeding prebiotics to mining microbes. Rather than engineering new bacteria, they use additives to supercharge colonies, claiming a 30% boost in copper extraction yields.

🤖 IBM Launches Sovereign AI Core — IBM's new Sovereign Core platform allows governments and enterprises to deploy AI while keeping strict control over data sovereignty. The system ensures encryption keys remain within local jurisdictions and generates continuous audit trails.

🤖 Hottest Solid Ever Recorded — Scientists have superheated a gold crystal to 19,000 Kelvin without it melting. Using the world's longest X-ray laser as a thermometer, the team proved that solids can survive beyond the theoretical limits if heated fast enough.

📌 Agentic AI Fails to Launch — 73% of companies are missing their AI goals due to a lack of trust. Despite high adoption, only 11% of projects reached production last year, with most agents restricted to siloed chatbot roles rather than autonomous systems that drive actual growth.

📌 McKinsey Tests AI Recruiters — McKinsey has deployed an AI chatbot to screen graduate applicants, aiming to streamline the assessment of tens of thousands of candidates. The firm insists human recruiters retain final decision-making power to guard against algorithmic bias.

📌 Murati's Co-Founders Return to OpenAI — Thinking Machines Lab has lost co-founders Barret Zoph and Luke Metz back to OpenAI. The departures come despite a recent $2B raise, with the split reportedly being acrimonious. Chintala has been named the new CTO.

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Artificial intelligence is no longer a futuristic promise in education — it’s already reshaping classrooms, curricula, and student experiences around the world. In early 2026 alone, major universities and educational bodies have announced new initiatives to integrate AI into teaching, learning, and research. For example, Purdue University and Google Public Sector are partnering to scale AI across campus learning and research programs, accelerating how AI tools are used in classrooms and labs. At the same time, national education organizations like India’s NCERT are launching dedicated AI learning programmes to help students and teachers engage with AI in subjects like mathematics.

This rapid adoption reflects broader trends: AI tools are increasingly used for personalized learning, administrative automation, and student support. Reports tracking AI in education highlight a surge in practical applications — from intelligent tutoring and adaptive learning platforms to automated grading systems and tailored feedback that adjusts to each learner’s pace. Educators and policymakers often frame these developments as ways to enhance access and inclusion, noting that multilingual AI and real-time support can help students in diverse linguistic and socio-economic settings understand complex topics more effectively.

However, excitement is tempered by ongoing concerns about implementation, equity, and unintended consequences. Surveys show that while teacher training on AI is growing — with a significant increase in educators receiving professional development — many still lack deep expertise or confidence in using AI tools in instruction. At the same time, students and critics point to challenges like academic integrity, over-reliance on AI for homework or assessments, privacy risks, and the digital divide between well-resourced schools and underfunded districts. These debates are already influencing how schools adopt or restrict AI, with some educators advocating for clearer policies and stronger digital literacy alongside technological integration.

In this evolving landscape, the conversation around AI and education is no longer just about what technology can do but about how we want it to shape learning. Educators and institutions increasingly emphasize responsible, ethical implementation — blending AI’s technical strengths with human mentorship, equity goals, and critical thinking development. As AI becomes embedded into curricula and educational policy, the aim is not to replace teachers but to empower learners and educators with tools that expand curiosity, adaptability, and opportunity for all. Viewed through this lens, the last few months mark not just technological adoption but a broader moment of reflection on what education should look like in an AI-augmented future.

134°F

is the hottest air temperature ever officially recorded on Earth (56.7°C), measured at Furnace Creek Ranch in Death Valley, California, on July 10, 1913.

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