Arena, an AI evaluation platform born at UC Berkeley, reached a $100M annual revenue run rate eight months after launching its product, as demand surges for benchmarks that measure real-world AI utili…
Shrijith Venkatramana, building git-lrc, explains how scaling laws discovered by OpenAI, Google, DeepMind, and Anthropic made large language models like ChatGPT, Claude, and Gemini possible. The 2020 …
A developer traces the 70-year history of AI from symbolic systems to modern transformer-based models, highlighting key milestones like the 1956 Dartmouth Workshop, expert systems, the first AI winter…
A developer argues that the current AI revolution is fundamentally different from past waves of enthusiasm, citing the convergence of large-scale labeled data, GPU computing, and deep network architec…
At the ninth MLSys conference in Seattle, researchers and industry leaders focused overwhelmingly on improving the efficiency of training and deploying large language models, with specialized hardware…
The next frontier for medical AI is building "world models" that can predict how a biological state changes in response to an intervention, moving beyond current systems focused on classification or q…
"branch specialization" as a large-scale structural phenomenon in neural networks, where layers split into branches and neurons self-organize into functional units similar to biological brain regions.…