The great thing is that the names are so baffling that the most important models OpenAI released were names davinci-002, GPT-3.5, GPT-4, o1-preview, o3, GPT-5 Pro, and you would never know the ways they are connected (my listing was chronological)
AI
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Using Knowledge Graphs for Clinical Proteomics Data Analysis
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A Knowledge Graph to Interpret Clinical Proteomics Data! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #HealthTech #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode
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Recommended Machine Learning Textbooks for Data Scientists
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Best Machine Learning Textbooks That #DataScientists Should Read! #BigData #Analytics #DataScience #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
geni.us/iMerit -
Free Hands-On Quantum Machine Learning Course Released
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We’re Releasing a Free, Hands-On Quantum #MachineLearning Course! #BigData #Analytics #DataScience #AI #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Quantum–M-L -
Math for Deep Learning Resource
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Math for Deep Learning. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Books #Coding #100DaysofCode https://
geni.us/Math-for-D-L -
Glean Platform Integrates AI Agents for Unified Enterprise Search
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Glean Prompt Library! @glean Glean’s platform seamlessly integrates with a wide array of enterprise systems such as email, intranet, cloud storage, and database by providing a powerful, unified search interface with AI Agents that effortlessly retrieves information from all
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Custom CUDA Kernels for TwELL Format on H100 GPUs Released
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If you want to look under the hood at the actual custom CUDA kernels and see exactly how we implemented the TwELL format for H100 GPUs, we’ve released the reference code. GitHub: https://
github.com/SakanaAI/spars
er-faster-llms
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Blog: https://
pub.sakana.ai/sparser-faster
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New AI-Driven Workflow for HTML Generation
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Anthropic's Thariq's article on HTML from yesterday blew up, with 1.5M reads. It looks like it's talking about formatting aesthetics, but actually he's describing an entirely new workflow. Picking out a few of the points with the most technical depth. First, HTML isn't a
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Sakana AI Accelerates Sparse LLMs with NVIDIA
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Sakana AIは、@NVIDIAとの共同研究で、スパースなTransformer言語モデルの推論・学習を高速化する新しいGPUカーネルとデータ形式を開発しました。
— Sakana AI (@SakanaAILabs) 9 mai 2026
ブログ：https://t.co/fMARMRFsJJ
LLMのコストの大部分を占めるフィードフォワード層では、実は各トークンに対して大半の活性がほぼゼロで無駄な計算に… https://t.co/nTMg0QgdSrSakana AI has developed new GPU kernels and data formats that accelerate inference and training of sparse Transformer language models through joint research with @NVIDIA
. Blog: https://
pub.sakana.ai/sparser-faster
-llms/
… In the feedforward layers, which account for the majority of LLM costs, most -
Claude Mythos Preview snapshot outperforms next best model by 2x
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An early Claude Mythos Preview snapshot we provided METR has a time horizon of more than 2x the next best model on their 80% success rate benchmark