Flint is Recursive’s mixture-of-experts language model for coding agents, with 39.8 billion total parameters and approximately 2.5 billion active per token. It is designed to investigate codebases, fix bugs, implement features, and write tests.
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Spark-X2.6-4B retains exactly the same architecture as Spark-X2.5-4B, achieving its capability gains through improved post-training. It delivers substantial improvements in coding, agent, long-context, multilingual, reasoning, etc. These advances enable more capable and…
As streaming video generation advances, enabling real-time interaction with generated video is becoming increasingly important. We introduce StreamEval, a unified benchmark for interactive streaming video generation spanning five tasks: avatar dialogue, avatar performance,…
Uncensored release · Native FP8 (e4m3) + FP4 experts · 40-layer MoE · 1M context · Vision + video · Reasoning tiers · Tools
Kromoss is a full fine-tune of MOSS-Image-Base at 1024 px. It uses the same architecture, inference pipeline, text encoder (Qwen3.5-9B) and VAE (FLUX.2 small decoder) as MOSS-Image-SFT, and this repo has the same layout, so it is a drop-in replacement. The fine-tune mainly…
AI agent payments are taking off, and that's good news for Solana.
Read moreThe MP Semiconductor Summit 2026 concluded its high-profile deliberations in Indore on Saturday, highlighting Madhya Pradesh's rapid strides towards establishing a robust semiconductor, photonics and quantum manufacturing ecosystem.
Read moreKimi pricing explained. The app is free to start, paid plans run $19 to $199 a month, and the flagship Kimi K3.1 Pro API costs $2 / $10 per million tokens.
Read moreThree small models tested the limits of my old Celeron and my patience
Read moreChina state-aligned hackers spied on thousands of companies after breaching ConnectWise, the IT management and remote access provider, according to
Read moreYour iPhone is getting some new features with the latest iOS.
Read moreOrganized labor in Ohio is throwing its weight behind a bill that would put new guardrails on how state agencies use artificial intelligence, especially when it comes to jobs and taxpayer-funded benefits.
Read moreLong-horizon, semi-verifiable agentic tasks often rely on rubric-based evaluation, but the evidence needed to assess these tasks can be spread across the environment state and the execution trace. A judge may overlook this evidence or accept unsupported claims, including an…
Edge-cloud collaboration combines the lower inference overhead and greater data locality of edge-side execution with the stronger capabilities of cloud-hosted models. However, as LLM agents increasingly operate in long-horizon scenarios, cloud participation becomes interleaved…
Knowledge distillation (KD) frameworks place teacher and student on the same GPUs, so per-GPU memory limits the teachers that fit. DisaggKD separates them across nodes: teacher replicas stream hidden states to the student, a KD loss over row windows and vocabulary shards equals…