GLM 5.2 vs Sonnet 4.6 vs MiniMax M3: Benchmarks Tested
Verified benchmarks, licences and first-party prices for GLM 5.2, Sonnet 4.6 and MiniMax M3, updated for GLM 5.3, Sonnet 5 and Opus 5.5.
BetterClaw Blog30 min read
tool calling
245 stories
MCP Tools: The Complete Guide to the Primitive and the Ecosystem
MCP tools explained both ways: the protocol primitive (name, description, input schema, tools/call) and the ecosystem of servers you connect.
Coworker AI Blog23 min read
How to run Kimi K3 on Runpod's Public Endpoint
The Kimi K3 weights are out, and Runpod has a Public Endpoint where you can start using them right away with Runpod's security, privacy, and compliance.
RunPod7 min read
EP227: Top 9 Places to Use Jev
Jev is TypeSafe AI’s first System One Model. It is 100x faster and cheaper than frontier LLMs.
ByteByteGo — System Design and Tech5 min read
How we built UI Code Mode into Arize Phoenix
We replaced the 58 tools PXI used to drive the Phoenix UI with two tools and a JavaScript sandbox that runs in your browser tab. Here's why, how it works, and what it cost. The post How we built UI Code Mode into Arize Phoenix appeared first on Arize AI.
Arize AI22 min read
Tool Calling vs. Code Execution for AI Agents: Choosing the Right Action Primitive
Theory is easier to trust once it's running against a real API, so both examples in this article use the same tool — a get_weather function backed by
Machine Learning Mastery14 min read
How to Build a Voice Agent on Fully Local Open-Source Models
The build side of running voice AI locally: what fits on one 24GB card, which runtime to use per stage, and what the latency actually looks like on a phone call.
Dograh Blog10 min read
9 Essential Claude Skills for AI Engineers Building Production Agents + 1 Bonus Skill
Nine Claude Skills we run in production, plus one bonus, with the install command for each and what it saves you. Updated September 2026.
Maximem Synap Blog11 min read
Real-time LLM guardrails with Jev: comparing latency and cost
Compare Jev and GPT-5.4 nano for real-time LLM guardrails, with demo results on latency, cost, and checks on agent inputs, replies, and tool calls. The post Real-time LLM guardrails with Jev: comparing latency and cost appeared first on Arize AI.
Arize AI11 min read
Everything Claude Opus 5.5 Actually Ships With
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.
KDnuggets10 min read
What changes when AI agents use your software
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.
Arize AI8 min read
Ringg’s AI agents resolve up to 65% of customer calls with OpenAI
Using GPT-5.6, Ringg powers multilingual agents across voice, chat, WhatsApp, and web for 90% less cost vs. GPT-4.1.
OpenAI News6 min read
How OpenAI Built GPT-Live
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).
ByteByteGo — System Design and Tech14 min read
What Is Nemotron 3.5 Lightning
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.
OpenRouter Blog11 min read
Jev: System One models for Prod, not God — with Diogo Almeida, CEO, TypeSafe AI
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…
Latent Space150 min read
How to Evaluate AI Agents From Tool Calls to Task Completion
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...
NVIDIA Developer Blog9 min read
Agentic AI vs Generative AI: From Prompt-Response to Autonomous Execution Architectures
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...
ClickRank Blog21 min read
The Post-training Process OpenAI Used for ChatGPT
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.
O'Reilly Radar - AI/ML18 min read
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