…The following papers were recommended by the Semantic Scholar API Towards Long-horizon Agentic Multimodal Search (2026) Mind DeepResearch Technical Report (2026) OASES: Outcome-Aligned Search-Evaluation Co-Training for Agentic Search…
Apple ran a test on the App Store to see if AI could improve search result rankings Marcus Mendes | Mar 6 2026 - 3:36 pm PT | Mar 6 2026 - 3:36 pm…
…blogs about touring guides and training suggestions when searching for information about cycling routes. Another change adds suggestions for related topics to the end of AI responses to encourage users to explore…
…AI-generated summary Multimodal deep search requires an agent to solve open-world problems by chaining search, tool use, and visual reasoning over evolving textual and visual context. Two bottlenecks limit current…
TruchiEmu v0.8.5 released Open Source macOS emulation frontend Been working on this for a while while boring at work, taking advantage of free AI. Here's what's new: XPC CoreUI separation: Now the emulator runs on a sepa…
I hope folks are very skeptical of what seems like 90% of the posts in /r/selfhosted. They are bot posts. They read like someone is just starting out on their selfhosting journey or they're asking for the best way to do …
Claw-Coder is an AI agent that runs locally on your laptop and has access to powerful tools instead of configuring claude or codex to use a local model just use claw-coder. Why was claw-coder created? Answer: To solve th…
Claw-Coder is an AI agent that runs locally on your laptop and has access to powerful tools instead of configuring claude or codex to use a local model just use claw-coder.Why was claw-coder created? Answer: To solve the…
Paperless-ngx is undoubtedly one of the most important and useful containers in my self-hosted stack. I have a modest collection of documents, ranging from receipts, to pay-stubs, certificates, notices, IDs, etc. While i…
…Zeyu Huang , , , , , , Abstract Context optimization methods enhanced with active information seeking via search and browser tools achieve superior performance across diverse domains while maintaining data efficiency and robustness. AI-generated summary Most…
…AI-generated summary Large language models (LLMs) for code completion and generation are increasingly used in software development, yet they may reproduce training examples verbatim and without authorship attribution, raising legal and…
…COROS says future updates could eventually allow AI-generated training plans and automated workout scheduling. From Google to Apple to Garmin, most fitness tracking brands are trying to wedge AI into their…
…ServiceNow trains its Apriel model family on open datasets, including Nemotron for cost-efficient multimodal performance. Cadence and IBM are piloting NVIDIA Nemotron RAG models to improve search and reasoning across complex…
I asked for a dashboard that tracks nearby New York subway trains. With help from its new Canvas tool, the AI Mode in Google Search built it in seconds.
…Motivated by the "search, select, update" principle underlying GDS, we propose Dynamic Latent Routing (DLR), a language-model post-training method that jointly learns discrete latent codes , routing policies , and model parameters…