Moonshot AI seeks a $30 billion valuation for Kimi
Moonshot AI is already discussing another round that could lift its valuation from $20 billion to $30 billion, with Kimi turning open-source model performance into a financing story.
146 verified stories covering Open Source, product updates and industry developments. Page 2 of 2
Moonshot AI is already discussing another round that could lift its valuation from $20 billion to $30 billion, with Kimi turning open-source model performance into a financing story.
Reve 2 and Ideogram 4 make layout the next image battleground. The story explains the announcement, the strategic context and the practical risks for the people or companies affected.
Ideogram opens its 9.3B flagship image model. The story explains the announcement, the strategic context and the practical risks for the people or companies affected.
Nvidia has released Cosmos 3, an open-source AI model designed to help robots and autonomous vehicles understand and predict physical world interactions.
MiniMax released the open-weight M3 model with 1M-token context, advanced coding ability, and native multimodality, claiming it is the first to combine all three.
Nvidia unveiled Nemotron 3 Ultra, a 550-billion-parameter open-source model, but it scored 48 on the Artificial Analysis intelligence index, behind Kimi K2.6's 54.
NVIDIA's Nemotron-Labs-Diffusion introduces a tri-mode decoding approach that boosts throughput up to 6× over Qwen3-8B while maintaining accuracy.
Cohere has released its flagship Command A+ model under Apache 2.0, a 218B-parameter MoE architecture that runs on as few as two H100 GPUs, targeting sovereign AI and enterprise deployments.
Hermes Agent topped OpenRouter's daily activity chart with 224 billion tokens, ending OpenClaw's long run at No. 1 and pointing to a shift in open-source agent adoption.
Moonshot AI has raised $2 billion at a $20 billion-plus valuation, putting Kimi at the center of China’s race for open-source large models and a possible Hong Kong listing.
DeepInfra's Series B signals that independent inference infrastructure for open models and agent workloads is becoming its own layer.
Mistral has opened a public preview of Workflows, a Temporal-based orchestration layer for running enterprise AI processes with approvals, retries and customer-controlled data.
CVE-2026-25874 lets anyone who can reach a Hugging Face LeRobot PolicyServer execute code through unsafe pickle deserialization.
Xiaomi open-sources 1.02T-parameter MiMo V2.5 Pro. The story explains the announcement, the strategic context and the practical risks for the people or companies affected.
DeepSeek released its V4 series on April 24, featuring a 1.6-trillion-parameter Pro model, but markets showed little reaction compared to last year's shock. Analysts say the surprise factor has faded as China's open-source AI output becomes routine.
DeepSeek slashed the price of its V4-Pro model by 75% and cut cache-hit pricing across its entire API to one-tenth, just 72 hours after the preview release, intensifying the AI price war.
Alibaba's Qwen3.6-27B, a 27-billion-parameter open-source model, outperforms its 397-billion-parameter predecessor on agentic coding benchmarks, driven by a new Thinking Preservation feature.
DeepSeek released V4-Pro and V4-Flash under MIT license, achieving top competitive programming scores while pricing output at $3.48/M — a fraction of GPT-5.5 and Claude Opus 4.7.
Qwen3.6-27B, a dense 27B-parameter model, outperforms the 397B MoE Qwen3.5 on coding benchmarks, thanks to architectural stability and a new Thinking Preservation mechanism. It runs on consumer hardware like a single RTX 4090.
Moonshot AI released the full production-grade Kimi K2.6 model, which scored 54.0 on HLE-Full, surpassing closed-source models Claude Opus 4.6 and GPT-5.4. The 1-trillion-parameter MoE model activates only 32B parameters per inference and supports up to 300 parallel sub-agents.
Alibaba released Qwen3.6-Max-Preview, its most powerful model yet, but kept the weights closed. It scored first in six benchmarks and second overall, signaling a strategic shift from open-source flagship to proprietary monetization.
Alibaba's Qwen team has released Qwen3.6-35B-A3B under Apache 2.0, a 35B-parameter MoE model that activates only 3B per token, scoring 73.4% on SWE-bench Verified and outperforming Google's Gemma 4-31B by 21 points.
MiniMax's M2.7 model used an agent framework to automatically run over 100 training iterations without human intervention, boosting internal benchmarks by 30%. The 230B-parameter sparse MoE model activates only 10B per inference and is now open-source.
NVIDIA has released the Nemotron 3 series, including model weights, a 3 trillion token pre-training dataset, reinforcement learning pipelines, and evaluation tools, all under open licenses.
Z.ai (formerly Zhipu AI) released GLM-5.1, a 754B-parameter open-source MoE model that scored 58.4% on SWE-Bench Pro, surpassing GPT-5.4 and Claude Opus 4.6. The model was trained entirely on Huawei Ascend 910B chips with MindSpore, using zero NVIDIA hardware.
NVIDIA has released Ising, the first open-source family of quantum AI models under Apache 2.0. The 35B-parameter Ising Calibration slashes QPU recalibration from days to hours, while Ising Decoding delivers faster and more accurate quantum error correction.
Moonshot AI has rolled out the K2.6 code preview to all Kimi Code subscribers, offering deeper reasoning chains, improved multi-step agent planning, and more reliable tool calls at a fraction of the cost of competing models.
Arcee AI, a 26-person startup, spent $20 million and 33 days training Trinity-Large-Thinking, a 40-billion-parameter open-source reasoning model that tops agent benchmarks and rivals proprietary models.
DeepSeek quietly released V3.2 with a sparse attention mechanism called DSA, cutting computational complexity from O(L²) to O(Lk) and slashing API prices to $0.28/M input and $0.42/M output, while maintaining comparable benchmark performance.
Mistral released Voxtral TTS, its first voice model, on March 26. The 4B-parameter open-weight model is rated by human evaluators as more natural than ElevenLabs Flash v2.5 and on par with ElevenLabs v3. API pricing is $0.016 per thousand characters, and the model can run on your own server.
Mistral released Small 4, a single MoE model that merges three previous standalone models into one deployment, supporting text reasoning, image understanding, code generation, function calling, and JSON output with a 256K context window.
Cursor's new Composer 2 model is built on Moonshot AI's open-source Kimi K2.5, a fact the company initially omitted from its launch materials. The revelation has sparked debate about transparency in AI development.
Google DeepMind released Gemma 4 on April 2, switching to the Apache 2.0 license and ranking third on the Arena AI open-source leaderboard with the 31B model.
Meta is developing two new flagship AI models, Avocado and Mango, but unlike the fully open Llama series, these will only be partially open-sourced, with key capabilities like cybersecurity code generation withheld.
Two years after the debate over whether open source can catch up with closed source, the answer is clear: open source has matched or even exceeded closed source in most routine tasks.
Hugging Face's 2026 spring open-source ecosystem report reveals that Chinese model downloads account for 41% of the total, overtaking the US for the first time, while platform users, models, and datasets have nearly doubled year-over-year.
The EU's AI Act, phased in from 2025, has largely taken effect by 2026, with open-source exemptions softening the blow for developers while shifting compliance burdens to deployers in high-risk scenarios.
The open-source AI agent framework OpenClaw has surged from a niche project to the top of GitHub Trending in under two weeks, driven by MCP protocol adoption and strong developer feedback.
DeepSeek V4 and Qwen 3.5/3.6 are reshaping the AI market with massive context windows, native multimodality, and aggressive pricing, pushing open-source models from a 1% to a 15% global share in one year.
DeepSeek V4 and Qwen 3.5 (also labeled Qwen 3.6-Plus) are two Chinese open-source AI models competing on cost and capability, challenging expensive closed-source giants with trillion-parameter scale, massive context windows, and rock-bottom API pricing.
Anthropic's MCP protocol, initially met with skepticism, has become the de facto standard for AI tool integration after OpenAI, Google, and Microsoft all adopted it within a year.
Meta released Llama 4 on April 5, 2025, introducing the first MoE architecture in the Llama series with two models: Scout (17B active parameters, 10M token context) and Maverick (17B active, 128 experts, 1M token context), both natively multimodal via early fusion.
Alibaba has released the full Qwen3 model series under the Apache 2.0 license, covering eight sizes from 0.6B to 235B parameters, all free for commercial use.
Moonshot AI open-sourced the trillion-parameter Kimi K2 MoE model, activating only 32B parameters per token, with strong coding and agent performance.
DeepSeek released the R1 reasoning model as open source in January 2026, achieving scores comparable to OpenAI's o1 on math, code, and logic benchmarks while its distilled 32B variant outperformed o1-mini on several tests.
DeepSeek V3 uses a Mixture-of-Experts architecture with 671B total parameters but only 37B activated per token, achieving top-tier open-source benchmark scores while costing just $5.5 million to train.