A framework for technical writing in the age of LLMs https://
buff.ly/ToYl7uD
#AI #MachineLearning #DeepLearning #LLMs #DataScience
LLMS
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Technical Writing Framework for Large Language Models Era
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Improving Self-Evolving LLM Agents Learning Capabilities
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On building more powerful self-evolving agents. LLM agents struggle to learn from experience after deployment. Fine-tuning is expensive and causes catastrophic forgetting. RAG retrieves based on semantic similarity alone, often pulling noise instead of what actually works.
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Google’s Auto Browse for Gemini
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Google is working on a new tool for Gemini called "Auto Browse". Auto Browse will Chrome into a proper agentic browser, where Gemini will serve as a control interface. This addition is a continuation of agentic functionalities announced in September.
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Edge AI Models in Future Wearable Devices
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It really sets up the future move to glasses: https://t.co/C6ccrs8RpD
— Robert Scoble (@Scobleizer) 13 janvier 2026
Apple will have small models running on your phone or glasses that will answer many common questions, and control your device, and if things get more complex then it'll go to Google.
But your conclusion is…It really sets up the future move to glasses: https://
x.com/Scobleizer/sta
tus/2010760834428125386?s=20
… Apple will have small models running on your phone or glasses that will answer many common questions, and control your device, and if things get more complex then it'll go to Google. But your conclusion is -
Supervised Reinforcement Learning: Expert Trajectories to Step-wise Reasoning
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Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning https://
buff.ly/ipDmsK6
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
OpenAI crosses 30k followers on Hugging Face with gpt-oss
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OpenAI just crossed 30,000 followers on @huggingface with very strong adoption for gpt-oss as noted by @natolambert @interconnectsai In my opinion, they have the potential to become the number one organization in open-source, excited to see what they do in 2026!
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Cerebras Software Optimizations Enable 20x Faster LLM Inference
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Everyone talks about our hardware @Cerebras. Few notice the software.
— Cerebras (@cerebras) 12 janvier 2026
Ryan Loney breaks down the hidden optimizations powering 20× faster LLM inference than GPUs, speculative decoding, token reuse, and why we’re just getting started.
Watch the full story here pic.twitter.com/JFZz7Y5SubEveryone talks about our hardware @Cerebras
. Few notice the software. Ryan Loney breaks down the hidden optimizations powering 20× faster LLM inference than GPUs, speculative decoding, token reuse, and why we’re just getting started. Watch the full story here -
User Prefers Claude Over ChatGPT Subscription
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Oh no! Take my ChatGPT subscription but don't touch Claude
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Rebranding Apple Foundation Model naming concerns and alternatives
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Yeah, agreed. I think it's common (like Composer). I was more thinking of the term "Foundation" in "Apple Foundation Model" when the foundation really is Gemini.
I would probably call it sth like Apple Atlas or so (but I am not a marketing person :D) -
Apple Foundation Models Based on Google Gemini: Naming Questions
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> Apple Foundation Models will be based on Google's Gemini models and cloud technology. This is the right move! But will they still be called Apple Foundation Models if they are Gemini fine-tunes?