IQuest-Coder-V1 Tops Benchmarks as Upstage Defends *Solar-Open-100B* with Training Transparency
AI Research & Breakthroughs
DeepMind Achieves Human-Like Data Efficiency in Self-Learning Agents
DeepMind’s AI agents now demonstrate human-level data efficiency in self-learning, marking a major leap in autonomous AI development, as shared by the company’s Director of Research.
DeepSeek Introduces mHC: A Novel AI Architecture Approach
DeepSeek’s new paper, "mHC: Manifold-Constrained Hyper-Connections", proposes an advanced method for AI model architecture or training, potentially improving efficiency or performance.
New Models & Releases
IQuestLab Releases IQuest-Coder-V1 (40B): Leading Coding LLM
IQuestLab’s new 40B-parameter coding model, IQuest-Coder-V1, tops benchmarks like SWE-Bench Verified (81.4%), BigCodeBench (49.9%), and LiveCodeBench v6 (81.1%), setting a new standard for AI-assisted programming.
Upstage Defends Solar-Open-100B with Public Validation & Training Logs
Upstage refutes claims that Solar-Open-100B is a fine-tuned GLM-Air-4.5, announcing plans to release intermediate checkpoints and training logs to prove its original development.
Fine-Tuned Llama3.3-8B Hybrid Model Combines Claude 4.5 Opus Reasoning
A new Llama3.3-8B-Instruct-Thinking-Claude-4.5-Opus-High-Reasoning model merges Llama 3.3’s base with Claude 4.5 Opus’s reasoning dataset via Unsloth fine-tuning. GGUF quantizations and an uncensored "Heretic" variant are in development.
Hardware & Optimization
Feather Enables FP8 on Non-Native GPUs with 3x Speedup
Feather, a new software-based FP8 solution, uses bitwise operations and Triton kernels to simulate FP8 on GPUs lacking hardware support (e.g., RTX 30/20 series), delivering 3x faster memory-bound ops (GEMV, FlashAttention).
Industry Trends & Predictions
OpenAI’s Greg Brockman Forecasts 2026: Enterprise Agents & Scientific AI
Greg Brockman predicts 2026 will prioritize enterprise AI agents (business automation) and scientific acceleration (materials, biology, compute), overshadowing consumer-focused AI gains.