TLDRocket
Sign in
Latest The AI graveyard: a running list of projects and startups that didn’t... — TechCrunch Block’s new voice model sounds eerily human — TechCrunch Forced to pick, Grok’s AI model chooses Republicans. OpenAI’s picks De... — TechCrunch Pennsylvania will require labels on AI-generated ads — The Verge AWS says its AI security agent fixes 89% of bugs — but there’s a catch — The New Stack Building an agentic software factory? Start with the sensor. — The New Stack Here are the top AI agents that can live in your text messages — TechCrunch Why Kubernetes autoscalers keep fighting each other (and why the solut... — The New Stack

The AI intelligence platform

Every AI story that matters — and the intelligence behind it.

TLDRocket reads all relevant sources, removes duplicate coverage, and publishes a short neutral summary of every story, linking back to the original. Free, no spam, unsubscribe anytime.

Add to Slack

Every story also updates live profiles event timelines weekly rankings the AI Market Index

Friday, 5 June 2026

Launch HN: General Instinct (YC P26) – Frontier models on edge devices

Hacker News 4 months ago 30

General Instinct, a YC-backed startup, released InstinctRazor, a tool for compressing large language models to run on edge devices with limited compute. They compressed Qwen3.5-122B from 245 GB to 48 GB while matching or exceeding the performance of smaller models like Gemma-4-26B on benchmarks. The technique enables frontier models to run on robotics and edge hardware with 7.6–8 GB peak VRAM usage, addressing the gap between datacenter-optimized models and resource-constrained physical systems.

Unlocking dependable responses with Gemini Enterprise Agent Platform’s Agentic RAG

Google Research 4 months ago 16

Google introduced Agentic RAG, a multi-agent retrieval-augmented generation system within the Gemini Enterprise Agent Platform that breaks down complex queries across multiple data sources through specialized agents for planning, routing, and context validation. The system achieved 90.1% accuracy on FramesQA's 824 multi-hop questions across 4 different data corpora, compared to lower accuracy from standard RAG approaches, while maintaining comparable latency. The key innovation is a Sufficient Context Agent that detects missing information and triggers iterative searches until enough grounded context exists to answer complex queries completely.

The daily briefing

Every AI story that matters, in your inbox by 8am.

TLDRocket reads all relevant sources, removes duplicate coverage, and summarises the day in two minutes. Follow companies and topics for alerts, or get the briefing in Slack. Free, no spam, unsubscribe anytime.