5/ Qwen 3.6 27B—Dense open-source topping coding benches (SWE-bench 77.2%). Beats bigger Qwen3.5. https://
buff.ly/2BOOgmd Hugging Face: https://
buff.ly/nbNHe4z
LLMS
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Qwen 3.6 27B Tops Coding Benchmarks SWE-bench 77.2%
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Kimi K2.6: Open-Weight MoE Coding Model with 262K Context
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4/ Kimi K2.6 (Moonshot AI, Apr 20)—1T MoE (32B active), multimodal, 262K ctx. Open-weight coding beast. https://
buff.ly/mdaq82z Run on Workers AI: https://
buff.ly/NJiUVSc -
Weekly AI Recap: GPT-5.5, DeepSeek V4, Mimo v2.5 launches
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AI tools launched the past week. 11 reasons your workflow just got faster. GPT-5.5 for reasoning, DeepSeek V4 for agents, Mimo v2.5 free—this is your no-fluff Weekly AI Recap from @futurepedia_io
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DeepSeek V4 Preview: 1.6T Parameters Open Model Released
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1/ DeepSeek V4 Preview just dropped—1.6T params (49B active) with 1M context, crushing agentic coding & reasoning. Rivals top closed models. https://
buff.ly/jpc8oFA Try API: https://
buff.ly/5VT2nuE -
GPT 5.5 Released: Advanced Coding and Multi-Step Reasoning Capabilities
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2/ GPT 5.5 released Apr 23! Flagship LLM boosts complex coding, multi-step reasoning & agentic ops. Efficiency king w/ fewer tokens. https://
buff.ly/cIEFAww Access via ChatGPT Plus/Pro: https://
buff.ly/adpIihD -
Hybrid Strategy: Proprietary and Open Models Together
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The second misconception I keep seeing: Too many teams think they have to choose between open models and proprietary models. They do not. The smarter path is hybrid. → proprietary models for scale and broad capability
→ open models for flexibility and control
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Forrester Wave Data Fabric Platform Report: Agentic AI Redefines Intelligence
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The Forrester Wave Data Fabric Platform Report! Agentic AI And Advanced Data Intelligence Are Redefining Data Fabric. #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang
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LLM Datasets Update: New Collections and Thinking Features
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Big update to llm-datasets, my curated list of datasets and tools for post-training LLMs. > Added many new datasets
> New "thinking" column
> Refreshed recommended tools. Thanks to everyone who told me they used it for their research at ICLR, you motivated this update! -
YouTube Studio integrates Gemini AI for channel data analysis
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Cette feature de @YouTube Studio est tout bonnement incroyable et beaucoup d'entreprises devrait s'en inspirer. Je pense qu’on ne se rend pas compte. YouTube nous permet maintenant de poser des questions à un assistant Gemini connecté à toutes les données de notre chaîne
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Personal Model Evaluation: Testing AI Releases for Workflows
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Best way to evaluate models against each other, and test if new model releases are better for personalized use cases and workflows. You don’t have to be a developer to be using personal evals and benchmarks.