Thanks! I'd recommend @rasbt
's Build a Large Language Model (From Scratch)
LLMS
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Maxime Labonne recommends Rasbt’s Build a Large Language Model
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Consulting for migrating off Claude Code to on-premise LLMs
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If you’re business / enterprise is trying to migrate off Claude Code / OpenAI and want to host your LLMs on-premise I do consulting for that kind of stuff btw Bonus: you’ll be setup with a path forward to training models on your tasks / workflows and save so much $$$ long term
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New Gemma 4 12B available on Huggingface under Apache 2.0 license
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GOOGLE : A new Gemma 4 12B is now available on Huggingface under Apache 2.0 license! > Built with the same multimodal functionality as Gemma 4 E2B and E4B (text, audio, image, and video inputs), it brings native audio and vision understanding directly to local environments
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Microsoft’s SkillOpt: Text-Space Optimization for Frozen Agent
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SkillOpt: Microsoft's Announces Text-Space Optimization for Frozen Agent! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux
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Splash Music Generates Music with AWS Trainium & SageMaker HyperPod
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Splash Music Transforms Music Generation using AWS Trainium and Amazon SageMaker HyperPod! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless
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Claude Code: Agent control planes, not just workflow generation
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On the surface, it's Claude Code generating workflows on its own, but digging deeper, it's the control plane of agent products that's changing. In the past, we crammed complex tasks into a long context, expecting the model to remember the goal, break down steps, and judge
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Primer on post-training reasoning data synthesis
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Nice primer on post-training reasoning data. (bookmark it) This is one of the first primers to pull the scattered post-training reasoning-data literature into one place, synthesizing over 150 public studies and system reports that previously lived across dataset papers, RL
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Optimizing for ChatGPT and Perplexity search on top of Google
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Optimizing for ChatGPT and Perplexity search on top of Google is the move nobody’s thinking about yet. Good to see a tool already doing this out of the box.
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OpenAI’s Sam Altman: token usage scaled 1 million times in 6 years
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OpenAI's @sama on scaling challenges: 6 years ago the top tokenmaxxer in the world was using 100k toks/mo, now that's the world median and top tokenmaxxer is > 100B toks/mo.
— Latent.Space (@latentspacepod) 3 juin 2026
That's a 1,000,000x in 6 years.
We think there's another 1,000,000x and global average usage of 100B… https://t.co/wMhihMvaEv pic.twitter.com/S5cvw3RcXfOpenAI's @sama on scaling challenges: 6 years ago the top tokenmaxxer in the world was using 100k toks/mo, now that's the world median and top tokenmaxxer is > 100B toks/mo. That's a 1,000,000x in 6 years. We think there's another 1,000,000x and global average usage of 100B
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Vibe coding enables AI site, but change is inevitable
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I couldn't have built https://
alignednews.com/ai without vibe coding. It might be gone in 24 months. Change is constant. But vibe coding is real and is just at the beginning.