LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.

Chinese AI models are rapidly closing the gap with U.S. frontier systems. This analysis examines what their growing ...

MotherDuck is launching Flights, an agent-native data pipeline that enables users to choose the MCP server and AI agent of their choice to build and deploy data pipelines in minutes using a flexible, ...

Chinese tech company Meituan officially unveiled LongCat-2.0 on June 30, confirming the open-license, 1.6-trillion-parameter mixture-of-experts AI model is the same system that sp ...

Abstract: The pervasive distribution of data across clients with privacy concerns and heterogeneous performance in edge networks presents a significant opportunity to enhance AI model performance.

Open-source agentic coding model Ornith-1.0, released today under the MIT license, uses a self-improving reinforcement ...

Un-0 is an image-generation model built on Kuramoto dynamics: it generates an image by integrating the phase dynamics of a population of coupled oscillators — no diffusion schedule, no adversary, no ...

B, a 3-billion-parameter AI model, is challenging OpenAI, Google and DeepSeek on math and coding benchmarks while reigniting the debate over AI scaling, benchmark gaming and small-model reasoning.

The government is to apologise to victims of historical forced adoptions in England, Education Secretary Bridget Phillipson has said, following years of campaigning from mothers and adoptees. An ...

We present HunyuanVideo, a novel open-source video foundation model that exhibits performance in video generation that is comparable to, if not superior to, leading closed-source models. In order to ...

Training a foundation LLM from scratch costs millions and requires internet-scale data — which is why most enterprises don't bother. Sapient thinks it has a cheaper path. To overcome this brute-force ...

Abstract: Sequential recommendation is a critical but challenging task in capturing users’ potential preferences due to inherent biases in the data. Existing debiasing recommendation methods aim to ...