How to Run Kolibri-1 Locally: Aleph Alpha's German-English MoE Model
Kolibri-1 is Aleph Alpha's 78B MoE model with 3.46B active params. Here's what hardware you need and how to serve it with vLLM.
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Kolibri-1 is Aleph Alpha's 78B MoE model with 3.46B active params. Here's what hardware you need and how to serve it with vLLM.
An end-to-end guide to deterministic checks, retrieval metrics, human review, LLM judges, and regression testing, with practical examples from a local multi-agent RAG application.
Most code that calls a model has one line that looks harmless. model: "claude-sonnet-5" Changing it feels like a config change. But that string is part of an API contract. And this month, the contracts changed. On September 17, Google released Antigravity Agent 09-2026.
When teams start connecting APIs to AI agents, three terms arrive together and get used interchangeably: function calling, ChatGPT plugins, and the Model Context Protocol (MCP).
AI News for 10/1/2026-10/2/2026. We checked 12 subreddits, 544 Twitters and no further Discords. AINews’ website lets you search all past issues. As a reminder, AINews is now a section of Latent Space. You can opt in/out of email frequencies!
Prime Inference pricing, model costs, API setup, and production caveats based on Prime Intellect's launch details and current rate listings.
I wired TypeSafe’s Jev into a real Claude Code workflow for a week. Here is what the “200x faster, 400x cheaper” headline leaves out.
TL;DR: Treat recorded speech moderation as a batch pipeline: transcribe the complete recording, moderate the text, then let the code-review agent return structured findings. Do not call that real-time moderation.
The failure mode I couldn't stop thinking about Every time I use [a model / an agent] for [multi-step reasoning / code generation / tool use], I notice the same thing: [describe the failure in one or two sentences, e.g. "it confidently skips a step and the final answer looks right but isn't"].
We catch up with RLM first author Alex Zhang, MIT PhD, on Jev, PhD masxing, and the future of harnesses.
OpenAI, Anthropic, and Google each use a different request and response shape for the same tool. Agent frameworks handle that difference in different places.
Observability has long been a staple of enterprise operations, giving companies a way to understand what their applications and infrastructure The post “No human wants to look at billions of traces”: Dynatrace bought Arize because agents need a new kind of observability appeared first on The New…
Create your FREE account: https://fandf.co/46pq5QJ This is the very third episode of Building an AI Agent Zero to Hero using Gemini Enterprise Agent Platform, In this video you will learn how to make our k8s investigation agent production ready using agents-cli and tool calling/function calling.
Staying up to date on the latest AI models is like trying to keep my house vacuumed in the height of my dog's shedding season (a losing battle). New AI models drop practically every week, and it's not exactly obvious which ones deserve a spot in your workflows.
Agentic AI systems increasingly rely on cloud-hosted large language models for planning, tool use, and iterative execution, raising concerns about API cost and data exposure.
Large language models (LLMs) are what most people think of when they think of AI. They're what you're interacting with in ChatGPT and Claude, they write the code generated by Claude Code and Codex, and they power other AI features like Google's AI answers and Apple Intelligence.
The free models that actually work with OpenClaw, tested: Gemini Flash, Qwen on Groq, local Ollama models, OpenRouter free tier and what to skip.
Our DevDay coverage - the first pod on the DevDay lineup - dives in with the leaders of OpenAI’s CUA team and API platform.
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