The Tiny Recursive Model proves "less is more," allowing a simple two-layer network to master complex logic puzzles that stump even the largest AIs.
The AI industry faces a paradox, promising transformational advances while investors risk substantial losses due to limitations of current technologies and potential quantum breakthroughs.
Vibe-coding platforms are dishing out code faster than ever before. But software engineering is more than just prompting LLMs.
Claude Sonnet 4.5 takes reshuffles the AI coding leaderboard with token efficiency, long-horizon task performance
Ben Dickson
Claude Sonnet 4.5 offers incremental improvements, impressive long-term coding capabilities, and key token efficiencies to reclaim its enterprise market leadership.
A technique proven in computer vision is now being applied to language models, aiming for a deeper level of understanding and superior task performance.
Is LLM in-context learning real learning? A Microsoft study says yes, but it’s not what you think
Ben Dickson
In-context learning is learning, but it's a brittle, superficial process that relies more on patterns than true understanding.
xAI's latest model achieves top-tier performance on par with competitors like Gemini 2.5 Pro while slashing costs by 98%, signaling a new era for developers.
Marble takes in a single image and creates a full 3D world (but there are some catches)
New DeepMind research reveals a fundamental limit in vector embeddings for RAG applications
Ben Dickson
A new Google DeepMind study reveals a fundamental bottleneck in single-vector embeddings, explaining why even the most advanced RAG systems can fail unexpectedly.
From vibe coding to agentic AI, the cloud faces unprecedented strain and must transform to handle modern workloads at scale.





























