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User runs multiple AI models simultaneously, faces coding task failure

A user shared their experience running multiple AI models, including Qwen3.6 and Llama 3.3, simultaneously using Ollama on their system. Despite successfully utilizing their RAM, the user noted that the setup still struggled with a specific coding task, failing to generate a requested Python script for gamma-ray spectra analysis and incorrectly claiming its presence. AI

RANK_REASON This is a personal anecdote about running AI models, not a significant industry event or release.

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

User runs multiple AI models simultaneously, faces coding task failure

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Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Meme
This is a personal anecdote about running AI models, not a significant industry event or release.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
infra, product
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AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
105 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    Well, I found how to use all my (unified) RAM, at last. Yes that's ollama running two models (Qwen3.6 (21GB) and llama3.3 (42GB)), pi-dev and opencode. And gues

    Well, I found how to use all my (unified) RAM, at last. Yes that's ollama running two models (Qwen3.6 (21GB) and llama3.3 (42GB)), pi-dev and opencode. And guess what? It still can't vibe-code and write a simple python script to analyze gamma-ray spectra to the current directory,…