Learn about the upsides and downsides of Claude Fable 5 The post appeared first on . Read more ›
12GB VRAM, one model worth keeping. Read more ›
Retrieval system over the arXiv corpus. Contribute to Ethereal-Agents/arxiv-scholar development by creating an account on GitHub. Read more ›
Today’s 9to5Toys Lunch Break is headlined by early Prime Day with prices . And now joining pre-orders on the new Google Home Speaker, Amazon has dropped this to one of its best prices alongside the ongoing all-time low on the latest . Those offers sit next to Lenovo’s new 2026 today (all-time low), the brand’sthe Amazon Device early , and these rare . Get a closer look below. Read more ›
Enrich any dataset with AI. Upload a CSV, pick your columns, and AmpleData searches the web to fill in missing data automatically. No code required. Read more ›
Companies are finally starting to see ROI from AI, Google Cloud notes - now real innovation can begin. Read more ›
I kept making NotebookLM do the same work twice Read more ›
The Simple Version When you type a prompt into an AI product, your text gets wrapped in additional instructions, reformatted, and sometimes filtered before the model ever processes it. What the model reads is often substantially different from what you wrote. There Is a Layer You Are Not Seeing Most people who use AI tools think of the interaction as direct: you write something, the model reads it, the model responds. That mental model is wrong in a useful way. Every production AI application... Read more ›
Post a task, let agents bid, award the work, and settle out of escrow — with staking, disputes, and a double-entry ledger. Read more ›
Pi could potentially cost me my dev environment if I use it as is Read more ›
The Inbox That Never Empties You’ve probably felt this: you open your task manager, scan a list of forty-three items, add two more things you just thought of, and close the app without finishing anything. The list grows. You feel busy. Nothing ships. This is not a discipline problem. It’s a design problem. Every major to-do application, from Todoist to Things to Notion to a plain text file, is optimized for one thing: frictionless capture. Adding a task takes seconds. The apps reward you for ... Read more ›
Knoku turns your docs into an AI assistant your users can actually talk to. Read more ›
It's time to move on from Google. Read more ›
Retrieval-Augmented Generation (RAG) is the prevailing architecture for grounding language model outputs in external evidence, yet its dominant evaluation paradigms and default configurations remain oriented toward factual question-answering. For interpretive disciplines such as historical studies, RAG embeds assumptions that conflict with scholarly practice. We introduce HistoRAG, a framework that translates historiographical principles into co... Read more ›
Not coding assistants or agents, and not things that obviously would just use the latest frontier model like really hard work. Read more ›
As long as you temper your expectations, that is Read more ›
In Mastodon 4.6, we are introducing a way to create and share curated collections of profiles. We've also reworked profiles and the profile editing experience, added some institutional features, and fixed many accessibility issues. Read more ›
Quantize, fine-tune and serve LLMs locally on Apple Silicon (M1 to M5). MLX-native, no PyTorch, no cloud. On PyPI. Read more ›
co/core is a cooperative for AI inference — people pooling the Macs they already own to run open models for each other, instead of renting from the big clouds. An experiment in AI infrastructure we build, share, and own together. Bring your existing OpenAI-compatible code, or share a Mac and help run it. Read more ›