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Introduction - AC2

▲ 78 points • 13 comments • by Bluestein • 2mo ago • HN discussion ↗

Pangram verdict · v3.3

We believe that this entire text is AI.

91 %

AI likelihood · overall

AI
0% human-written 100% AI-generated
SEGMENTS · HUMAN 0 of 1
SEGMENTS · AI 1 of 1
WORD COUNT 138
PEAK AI % 91% · §1
Analyzed
Sep 8
backend: pangram/v3.3
Segments scanned
1 windows
avg 138 words each
Distribution
0 / 100%
human / AI fraction
Verdict
AI
Pangram v3.3

Article text · 138 words · 1 segments analyzed

Human AI-generated
§1 AI · 91%

Getting startedEnd-to-end infrastructure for training and inferencing open weight models.Applied Compute Agent Cloud (AC2) is a researcher cockpit for end-to-end model development, inference and continual learning.Onboard with your coding agent The fastest way to get started is to let your coding agent set AC2 up for you. Paste this prompt into Claude Code, Cursor, Codex, or any coding agent: The agent installs the CLI, logs you in, wires up the AC2 MCP server, and walks you through your first project. Prefer to run the steps yourself? Follow the Quickstart.Packages ac2.sdk — platform client for datasets, workloads, sessions, traces, and secrets. ac2.runtime — agent framework for agents, environments, orchestrators, tasks, graders, and episodes. ac2.tracing — OpenTelemetry-based observability SDK. Add @traced to any function to capture timing, inputs, outputs, and nested spans. Exports to ClickHouse and Langfuse. Choose a workflow