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AI models tested on complex benchmark; DeepSeek 4 Pro servers melt

By PulseAugur Editorial · [1 sources] ·

A user is attempting to benchmark the DeepSeek 4 Pro model, but its servers are experiencing high load. The benchmark involves a complex reverse-engineering task to create a tool for building Apollo GraphQL hashes. So far, no open-weight models have successfully completed the benchmark, while proprietary models like Anthropic's Opus 4.7 and OpenAI's GPT 5.5 have demonstrated success. AI

IMPACT Provides comparative performance data for proprietary models on a complex reverse-engineering task.

RANK_REASON User is running a benchmark on a model and comparing results, which falls under research.

Read on Mastodon — fosstodon.org →

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

AI models tested on complex benchmark; DeepSeek 4 Pro servers melt

How we ranked this

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Research
User is running a benchmark on a model and comparing results, which falls under research.
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
model release, paper
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
162 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 — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Current status: attempting to run my scraping/reverse-engineering benchmark prompt against DeepSeek 4 Pro via Ollama, but their servers are melting, as one migh

    Current status: attempting to run my scraping/reverse-engineering benchmark prompt against DeepSeek 4 Pro via Ollama, but their servers are melting, as one might expect. So I'm having to nudge it along. So far no open-weights model (including Kimi K2.6) has completed the benchmar…

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