macro-inc /macro
Macro is a unified workspace for teams: email, chat, docs, tasks, agents, calls, and CRM — @-linked together with shared AI memory.
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AI Roundup (Wed Aug 12): OpenAI Frees Luna, LTX Ships Open World Models, Gemini Hits 1B Users
OpenAI has added its GPT‑5.6 model, Luna, to the free ChatGPT tier, providing unlimited text access. LTX released an open‑weights world‑model suitable for developers. Meanwhile, Google’s Gemini quietly surpassed one bill…
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Gemini becomes Google's fastest-growing product ever as it hits 1B users
But will Gemini's surge survive slowing model releases?
→ View original sourceStealing Reasoning Traces from Proprietary LLM APIs
This research exposes the vulnerability of proprietary LLM APIs by demonstrating how reasoning traces can be extracted from API responses, revealing internal model logic and decision-making processes. The study highlight…
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VibeLifeBench: Can Your Life Agent Be Proactive and Persistent in a Living World?
Here's a thinking process: 1. **Analyze the Request:** - Role: Technical news summarizer - Input: A news title, source, URL, author, date, and description/content - Output: Brief HTML summary with specific format - Const…
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Reference-Free Post-Training of Open Large Language Models for Multilingual Machine Translation
Here's a thinking process: 1. **Analyze User Request:** - Role: Technical news summarizer - Task: Condense provided news into brief HTML summary - Input: Title, source, URL, author, date, description - Output format: HTM…
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DistilVDR: A Compact End-to-End Visual Document Retriever via Dual-Student Distillation
DistilVDR is a compact 524M parameter end-to-end visual document retrieval system designed to reduce the indexing and serving costs of multi-billion-parameter models. It utilizes a dual-student distillation approach from…
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Cultivar: A Contrastive and Locale-Oriented Translation Benchmark for Investigating Contamination and Localisation Robustness
Researchers introduce Cultivar, a contrastive and locale-oriented translation benchmark derived from a localized subset of FLORES, designed to address contamination and localization challenges in multilingual translation…
→ View original sourceApple Silicon and macOS VMs: 11–16× Faster LLM Inference with Llama.cpp
Here's a thinking process: 1. **Analyze the Request:** - Role: Technical news summarizer - Task: Condense provided news into brief HTML summary - Input: Title, source, URL, author, date, description/content - Output form…
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Why Your AI Needs a “Brain Upgrade”: A Beginner’s Guide to RAG
Have you ever asked an AI a question about a recent event, only for it to give you an answer from three years ago? Or worse, has it ever…Continue reading on Medium »
→ View original sourceOnline Token Counter—Count LLM Tokens Easily
An online token counter lets users quickly measure the number of tokens in prompts and text. It provides real‑time AI token usage data and enables comparison of estimated costs across GPT models. Read original
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Information Theory in AI — Entropy, KL Divergence & Why Cross-Entropy Is the Default Loss
This technical guide explores the application of information theory in artificial intelligence, focusing on entropy and KL divergence. It specifically examines the mathematical reasoning behind why cross-entropy serves a…
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