The best NotebookLM alternative isn’t the one you think. Read more ›
Discover our AI Control Roadmap: a defense-in-depth system to securely manage advanced, potentially misaligned AI agents. Read more ›
I expected hype. I found competence. Read more ›
A self-governing Personal Knowledge Management (PKM) framework for Obsidian, featuring automated agent workflows for research, synthesis, and task extraction. - ibrahimkobeissy/ai-second-brain-temp... Read more ›
Most developers treat the temperature parameter like a volume knob: turn it up for creative writing, turn it down for factual summaries. This mental model is wrong in ways that matter in production. Temperature doesn’t add randomness on top of the model’s output. It transforms the probability distribution that the model samples from, and that transformation is nonlinear, meaning small changes at the extremes have outsized effects. Understanding what’s actually happening explains a lot of othe... Read more ›
A step-by-step path through the skills that turn a machine learning practitioner into someone who ships large language model applications. Read more ›
Learn how modern AI evolved from simple language models to Transformers, reasoning models, and ChatGPT through practical examples and diagrams. Read more ›
How we built a production RAG system over 5,600 academic papers using free Google Colab, Qdrant free-tier, and no abstraction frameworks. Read more ›
John Jumper, a key member of the team at Google DeepMind for nearly a decade, is decamping for Anthropic. Read more ›
All Signal. No Noise. Read more ›
Lettera is a native, refined Markdown editor that works with single files or an entire folder as your workspace. Read more ›
Five free Obsidian plugins that turn text notes into visual thinking tools. Read more ›
Automate your financial planning with AI Read more ›
Gemini has become far better in visual search Read more ›
The Software Freedom Conservancy provides a non-profit home and services to Free, Libre and Open Source Software (FLOSS) projects. Read more ›
This work presents the design, implementation, and evaluation of a system for generating personalized reading content using Large Language Models (LLMs) combined with Retrieval-Augmented Generation (RAG). The proposed architecture consists of four modules: Input, RAG, Generation, and Judging and enables users to specify both a question and a target reading content complexity. RAG is employed to retrieve relevant information from the Internet, en... Read more ›
Most to-do apps have a frictionless add button and a graveyard of old items. That’s not a coincidence. The design of these tools reflects an implicit assumption: that the bottleneck in your productivity is forgetting tasks, not choosing which ones to actually do. That assumption is wrong for most knowledge workers, and the mismatch between tool design and actual bottleneck is why your list keeps growing while your sense of accomplishment stays flat. 1. Adding a task feels like doing it There’... Read more ›
We go into what is driving agentic AI server CPU demand on both sides, running the AI agents, but also the legacy workloads The post appeared first on <a href=" Read more ›
Retrieval system over the arXiv corpus. Contribute to Ethereal-Agents/arxiv-scholar development by creating an account on GitHub. Read more ›
Learn about the upsides and downsides of Claude Fable 5 The post appeared first on . Read more ›