Tag: llm
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MiniMax M2.7: The First AI Model That Helps Train Itself
MiniMax has released M2.7, the first frontier AI model designed to participate in its own training loop. Announced on March 18, 2026, M2.7 introduces what MiniMax calls “self-evolution” — the model autonomously analyzes its own failure trajectories, modifies its scaffold code, and runs evaluations across 100+ iterative rounds, achieving a 30% performance improvement on internal […]
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Unsloth Studio: Open-Source No-Code UI for Local LLM Training and Inference
On March 17, 2026, Unsloth AI launched Unsloth Studio — an open-source, no-code web interface that lets users train, run, and export large language models from a single local dashboard. The beta release positions Unsloth Studio as the first tool to unify fine-tuning, inference, and deployment in one local application, promising 2x faster training with […]
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Mistral Small 4: Four Models Unified in One Open-Source MoE
On March 16, 2026, Mistral AI released Mistral Small 4 — a 119-billion-parameter Mixture-of-Experts model that unifies instruction following, reasoning, multimodal understanding, and agentic coding into a single deployment. With only 6 billion active parameters per token (8B including embedding layers), it delivers frontier-class performance at a fraction of the cost and latency of larger […]
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Junyang Lin Steps Down as Qwen Tech Lead in Abrupt Departure
Key points On March 3, 2026, Junyang Lin, the tech lead and public face of Alibaba’s Qwen open-source AI project, announced his departure in a brief post on X reading “me stepping down. bye my beloved qwen.” The exit came just 24 hours after the Qwen team shipped the Qwen 3.5 small model series, and […]
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Qwen 3.5 Small Models: 9B Parameters That Beat 120B
Key points On March 2, 2026, Alibaba’s Qwen team completed the Qwen 3.5 family with four small dense models of 0.8B, 2B, 4B, and 9B parameters for on-device and edge deployment. All four models are open-weight under Apache 2.0 and available on Hugging Face and ModelScope. Qwen3.5-9B outperforms models 3-13 times its size across language, […]
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Inception Launches Mercury 2: Diffusion-Powered Reasoning at 1,000 Tokens per Second
Key points On February 24, 2026, Inception launched Mercury 2, which the company calls the first reasoning-capable diffusion large language model and the fastest reasoning LLM available today. Inception reports that Mercury 2 reaches 1,009 tokens per second on NVIDIA Blackwell GPUs with 1.7 seconds of end-to-end latency, over five times faster than leading speed-optimized […]
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Anthropic Drops Flagship Safety Pledge Amid Competitive and Government Pressure
Key points Anthropic has dropped the central commitment of its Responsible Scaling Policy, the pledge to halt model training if adequate safety measures could not be guaranteed in advance. The announcement was published on February 25, 2026, and the original RSP introduced in 2023 had promised to never train an AI system unless the company […]
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Qwen 3.5 Medium Series: Frontier AI That Fits on Your GPU
Key points On February 24, 2026, Alibaba’s Qwen team expanded the Qwen 3.5 family with three Apache 2.0 open-weight models — Qwen3.5-27B, Qwen3.5-35B-A3B, and Qwen3.5-122B-A10B — available on Hugging Face. Qwen3.5-27B is a dense model with all 27 billion parameters active at inference, optimized for coding and instruction-following, and uses a 3:1 hybrid ratio of […]
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Anthropic Exposes Industrial-Scale Distillation Attacks by DeepSeek, Moonshot, and MiniMax
Key points Anthropic has revealed that DeepSeek, Moonshot AI and MiniMax ran industrial-scale “distillation attacks” on its Claude models, generating over 16 million exchanges through roughly 24,000 fraudulent accounts. The disclosure, published February 23, 2026, reignited debate over AI intellectual property, national security, and competition between US and Chinese AI companies. By Anthropic’s account, DeepSeek […]
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Google Releases Gemini 3.1 Pro with 2× Reasoning Performance
Key points Google DeepMind released Gemini 3.1 Pro on February 19, 2026, describing it as its most capable model to date and the first in the Gemini family to receive a “.1” mid-cycle update rather than the usual “.5” increment. Gemini 3.1 Pro scores 77.1% on ARC-AGI-2, which the article says is more than double […]