LIVE PULSE
5.0 Anthropic CEO Amodei calls for slower AI development and shared safety rules — 11 src2.7 Agility Robotics unveils Digit 5 humanoid for warehouses and factories — 2 src2.5 Apple ships rebuilt Siri with Google Gemini, but not in the EU — 2 src2.2 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions — 2 src1.7 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns — 5 src1.4 OpenAI contractors review real ChatGPT conversations to rate responses, report says — 2 src1.3 Anthropic data retention policy prompts firms to limit Claude use for sensitive work — 1 src1.3 Study traces LLM hallucinations to competing latent associations — 1 src1.3 Arabic-Russian Parallel Corpus and LLM Benchmark for Scientific Text — 1 src1.3 Study Analyzes Self-Reported Limitations in NLP Research — 1 src5.0 Anthropic CEO Amodei calls for slower AI development and shared safety rules — 11 src2.7 Agility Robotics unveils Digit 5 humanoid for warehouses and factories — 2 src2.5 Apple ships rebuilt Siri with Google Gemini, but not in the EU — 2 src2.2 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions — 2 src1.7 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns — 5 src1.4 OpenAI contractors review real ChatGPT conversations to rate responses, report says — 2 src1.3 Anthropic data retention policy prompts firms to limit Claude use for sensitive work — 1 src1.3 Study traces LLM hallucinations to competing latent associations — 1 src1.3 Arabic-Russian Parallel Corpus and LLM Benchmark for Scientific Text — 1 src1.3 Study Analyzes Self-Reported Limitations in NLP Research — 1 src
HEATPULSEAI MAGAZINES
FLIP · FOLLOW · SAVE
Log inSign up

llm-routing

topic3 events
papersTODAY 04:00 UTC

Carbon-Aware Routing for Function Calling in Edge-Cloud LLM Systems

A new arXiv preprint proposes a routing approach that decides whether function-calling LLM requests should be handled at the edge or sent to cloud models, with the aim of reducing energy consumption and carbon emissions. The work targets agentic systems where inference is currently concentrated in large cloud-hosted models. It argues that latency, compute placement, and grid carbon intensity can be balanced when choosing where an inference runs.

llm-routing/edge-computing/sustainability/function-calling
papersTODAY 04:00 UTC

Paper Proposes LLM Routing to Optimize Text-to-SQL Generation

A new arXiv preprint describes a method that routes text-to-SQL requests between different large language models rather than relying on a single model. The approach aims to keep accuracy on complex database queries while cutting the latency and cost that come from always using the most capable model. The authors frame the work as a way to balance performance against efficiency in natural-language database access.

text-to-sql/llm-routing/arxiv/efficiency
papersSEP 12 04:00 UTC

SWRouter: Window Routing Method Targets Multi-Turn LLM Conversations

A new arXiv paper proposes SWRouter, a routing approach that uses similarity-contractive windowing to pick the best large language model for each turn of a multi-turn conversation. The authors note that current routers work well for single queries but do not carry over directly to extended dialogue, where context accumulates. The method aims to address that gap by adapting routing decisions to the conversational window.

llm-routing/multi-turn/research/arxiv