LLMs & Models
Large language models: GPT, Claude, Gemini, Mistral and open weights.
28 published articles
Coding Agents
Cognition's new coding agent scores near frontier results for pocket change
Cognition's SWE-1.7 coding model narrows the gap to frontier systems at a fraction of the cost, scoring 42.3% on FrontierCode and running at 1,000 tok/s. The model was trained on an improved reinforcement learning pipeline using Kimi K2.7 as the base.
2026-07-09
Software development
The hidden tax on vibe-coded projects that shows up when you least expect it
An in-depth analysis of the promise and peril of vibe coding: why AI-generated code accelerates prototyping but introduces security risks, performance limits, and technical debt that demand careful human oversight.
2026-07-09
Open-source AI
China's MiniMax just open-sourced a 1M-token model that outruns GPT-5.5 on real coding tasks
MiniMax M3 is the first Chinese open-source model to combine native multimodality, 1M-token context, and advanced agentic coding. Its structured approach to scale, including a new attention architecture called MSA, challenges the assumption that open models must trail behind proprietary systems.
2026-07-09
Semi-autoregressive speculative decoding hits production
DeepSeek's DSpark just fixed the two things that held back faster AI inference
A new speculative decoding framework from DeepSeek tackles the two bottlenecks that have limited parallel drafters: suffix decay and wasteful verification. DSpark achieves 60–85% faster generation speeds in production by coupling a semi-autoregressive architecture with a confidence-scheduled scheduler that prunes low-value tokens before the target model verifies them.
2026-07-08
AI Model Release
MiniMax launches M2.7 model with strong software engineering and office productivity skills
MiniMax's M2.7 model delivers strong results in software engineering benchmarks and professional office tasks, with a 97% skill adherence rate on complex instructions and an ELO score of 1495 on GDPval-AA.
2026-07-08
Model Evaluation
Ai2's olmo-eval gives LLM developers a microscope for every checkpoint
Ai2's olmo-eval brings per-question diffs and modular benchmarks to active LLM development, helping researchers tell real progress from statistical noise.
2026-07-06
AI Research
Your AI agent passed the test by accident. Now there's a rubric for that.
SkillCoach is a self-evolving rubric framework that evaluates and improves agentic skill-use by analyzing skill selection, following, composition, and reflection processes, providing better supervision than outcome-only metrics.
2026-07-06
AI Research
The verification horizon: why verifying coding agents is now harder than building them
A classical intuition holds that verifying a solution is easier than producing one. For today's coding agents, that intuition has inverted: generating complex solutions is now easy. The hard part is reliably verifying them.
2026-07-05
Deep Learning
M3D and Real-Guidance Bring Dataset Distillation to High-Resolution Realms
Dataset distillation has long been stuck on low-res benchmarks, but a new approach called M3D changes that. By combining multi-scale matching, a data manifold prior, and a Real-guidance strategy, it scales to ImageNet-1K at 128×128 resolution, achieving 68.5% top-1 accuracy with just one image per class and cutting memory usage by ten times.
2026-07-05
AI Research & Development
Ma Jiaqi taught MiniMax engineers a hard lesson about forgotten tokens
MiniMax's internal investigation into why its M2 model couldn't output the name 'Ma Jiaqi' revealed a structural mismatch between pre-training vocabulary and post-training data distribution. The root cause: low-frequency tokens' lm_head vectors drift during SFT, losing generation ability while retaining understanding. A full-vocabulary coverage fix resolved the issue and also mitigated language mixing in Japanese.
2026-07-04
Artificial Intelligence
MiniMax's new M2.5 coding model tops the benchmark at 5% of the price
MiniMax's M2.5 model tops the Multi-SWE-Bench coding benchmark, beats mainstream models on workspace tasks, and costs a tenth to a twentieth of competitors. Open-source weights are on HuggingFace.
2026-07-04
Artificial Intelligence
Microsoft's Phi-4 Model Redefines Efficiency in Breakthrough Research
Microsoft's Phi-4 model achieves state-of-the-art efficiency, matching larger models in reasoning tasks with significantly fewer parameters. Published on May 15, 2025, the research paper reexamines assumptions about scaling laws in AI.
2026-07-03