Or just the endless times a model fails either due to random errors or too sensitive NSFW filters Then I fallback to secondary models and try again So users almost never see failures, that's what people pay for
AGENTS
-
DataAIWorldTour launches global events on data and AI agents
By
–
#DataAIWorldTour is just getting started! Don’t miss this opportunity to discover the latest in data apps and AI agents. London – October 16 Toronto – October 29 Munich – November 4 Amsterdam – November 6 NYC – November 13 Find a city near you:
-
GPT-4 Agents Outperformed Without Weight Adjustments
By
–
The fact that it beats GPT-4 agents without touching weights… That’s a turning point.
-
RenTech Algorithms Dominance in AI-Driven Investment Markets
By
–
It must feel so good to be a RenTech algorithm right now.
-

Ken Goldberg Excited About Google DeepMind Robotics Technology
By
–
Looking fwd to playing w this @GoogleDeepMind https://
developers.googleblog.com/en/building-th
e-next-generation-of-physical-agents-with-gemini-robotics-er-15/
… -

Apps SDK Impact: ChatGPT App Store Opportunity for Founders
By
–
i think everyone dogging on Agent Builder is missing the real impact of Apps SDK. ChatGPT finally getting serious about having an App Store is enormous if you're the right kind of founder. listen to the latest @thesamparr pod if you dont believe me. i am very hard pressed to
-
Multi-Agent Systems in Enterprise Tool Use Architecture
By
–
Dive into the full breakdown, experiments, and architecture in our latest blog https://
snorkel.ai/blog/multi-age
nts-in-the-context-of-enterprise-tool-use/
…
#AI #AIAgents #MultiAgentSystems #EnterpriseAI #MachineLearning -

Smaller Models Gain Accuracy Through Multi-Agent Coordination Setup
By
–
In the switch to the multi-agent setup: Smaller models regained lost accuracy when configured as coordinated agents Long-context reasoning improved
-

Multi-Agent Systems Cut Enterprise AI Costs
By
–
What happens when simply using the best AI model starts to break the bank? We explored how multi-agent systems — multiple AI agents collaborating across tools — could benefit enterprise AI. Details
-

GPT-5 Outperforms Mini and Nano in Multi-Agent Tool Tasks
By
–
Our team tested single- vs multi-agent setups using GPT-5, GPT-5-mini, and GPT-5-nano, using 10K+ tools across 30 domains. In the single-agent setup, GPT-5-mini and GPT-5-nano performance degrades with longer context and more reasoning, while GPT-5 remains remarkably consistent.