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This article pulls together every verifiable number and detail from Anthropic's announcement, the platform documentation, the system card, and independent coverage, so you have one place to check the facts.
Daytona cofounder Ivan Burazin wants agents that can finish the job within the authority they have been given. His interview offers a starting point for examining how agents use your software. The post What changes when AI agents use your software appeared first on Arize AI.
Using GPT-5.6, Ringg powers multilingual agents across voice, chat, WhatsApp, and web for 90% less cost vs. GPT-4.1.
To understand how it all works end to end, we met with engineers on the GPT Voice team, Zahan Malkani and Justin Uberti (who created WebRTC).
Nemotron 3.5 Lightning is NVIDIA's open-weight 30B mixture-of-experts model with about 3B active parameters per token, built for the high-volume execution calls in an agent run.
We have an unusual relationship with today’s guest: for years since coauthoring the InstructGPT paper, Diogo Almeida had been saying that API-available frontier models have been going down the wrong path, everything from the alignment to refusals to reliability perspectives, that we have dropped…
When you ship an AI agent, the key question is whether it can execute a chain of work across dozens of sequential tool calls against a live environment, and...
The debate between agentic AI vs generative AI centers on the shift from content creation to autonomous execution. Generative AI creates text, images, and software code based on specific prompts. In contrast, agentic AI pursues goals independently by...
This is the third post in a four-part series about post-training. If you missed them, read part 1 and part 2. The final post, on implementing your own pipeline, will be coming October 7.
A practical guide to choosing a niche, packaging services, pricing projects, winning clients, and operating AI automations safely after launch.
Using GPT-5.6, V7 turns scattered company files into context agents can use to complete complex, source-linked work.
A practical, vendor-neutral guide to the API contract behind controllable agent runs, including lifecycle state, events, approvals, cancellation, observability, and auditability.
When comparing Chinese AI vs ChatGPT, your decision comes down to cost versus security. If you need low API pricing, open weights, and fast coding assistance, Chinese AI models like DeepSeek lead the way. However, if your team...
A comparison of the three current realtime speech-to-speech models on the axes that decide a phone deployment: interaction quality, documented telephony support, and pricing basis.
Your AI pilot works beautifully in a controlled demo. It reads a few sample support tickets, drafts replies, updates a test record, and gives the team a convincing glimpse of what could happen next.
Agentic Voice AI turns your phone bot into an autonomous worker — booking appointments, updating CRM, triggering follow-ups. How to make the leap
goose is replacing its classic agent loop with a re-entrant state machine where the conversation is the state and each behavior is an Operation.
DeepSeek V4 is a family of models, and only some of them accept images. This guide maps every V4 slug on our catalog to its input modalities, shows how to send an image to the two that read images, and shows how to put a vision model in front of the text-only ones.
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