TLDRocket
Sign in
Latest 20% of Americans are already using AI for financial advice — another 7... — Fortune Auto mode is now the default in Claude Code for Pro, Max, and Team pla... — Simon Willison’s Weblog AI labs shouldn't be allowed to grade their own homework — Fortune AI is changing work faster than the data can keep up — Fortune Planned Amazon data center could become the biggest climate polluter i... — TechCrunch Meet Shepherd: An Open-Source Python Substrate That Lets Meta-Agents F... — MarkTechPost OpenAI acquires presentation startup NextSlide — TechCrunch Pokee AI Releases Pokee-Isaac 28B: A 10M-Token Context Agentic Model B... — MarkTechPost

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

Tuesday, 7 January 2025

Agents

Chip Huyen 1 year ago 11

Intelligent agents built on foundation models can perceive environments and act through tools to accomplish multi-step tasks like website creation, data gathering, and trip planning. Agent accuracy decreases with task complexity, dropping from 95% per step to 60% over 10 steps and 0.6% over 100 steps, requiring more powerful models. Agent success depends on tool access and planning capability, with tools providing knowledge augmentation, capability extension, and environmental action.

Read the full story
Agentic AI Agent Frameworks Agent Evaluation

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.