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# Import AI 469: Science AI; RSI simulator; and Zuck’s technological pessimism

**[Import AI ](https://daily.dev/sources/jackclark)** · 12 min read · 0 upvotes · 0 comments

## Summary

This newsletter roundup covers four AI research items: DiG-bench, a new 70-game benchmark testing whether AI systems can infer hidden rules through exploration, where Opus 5 and Fable 5 led but still struggled at the hardest tiers compared to humans; an RSI (recursive self-improvement) simulator game from Paradigm Research that lets players experience the tradeoffs of running an AI lab; a paper from startup Inherent describing Faraday, a 27B post-trained model that supervises frontier models like Codex to replicate missing results from published ML and AI-for-science papers, beating base Opus and GPT-5.5 on a majority of tasks; and a critical read of Mark Zuckerberg's essay 'The Future is for Everyone,' arguing it fails to address whether superintelligent systems capable of invention would actually serve individual empowerment as he assumes.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://jack-clark.net/2026/08/17/import-ai-469-science-ai-rsi-simulator-and-zucks-technological-pessimism>

## Questions this post answers

### What is DiG-bench and how do frontier AI models perform on it?

DiG-bench is a benchmark of 70 text-based games split into seven difficulty tiers that require players to infer hidden rules and objectives through exploration rather than being told them. Opus 5 and Fable 5 (paired with Claude Code) performed best overall, with only those two models beating any Tier 7 tasks, achieving just a 20% success rate versus 100% for humans.

_daily.dev surfaces benchmark results like these for developers tracking what frontier models can actually do._

### What is Faraday and how does it improve AI scientist performance on research replication tasks?

Faraday is a 27B parameter model built by startup Inherent, post-trained on Qwen-3.6-27B using GRPO, that supervises a coding agent (OpenAI Codex) to replicate missing results from published papers. Using a dataset called Replica of 310 replication tasks derived from 100 ML and AI-for-science papers, Faraday with Codex outperformed base Opus 4.8 and GPT-5.5 on 73% of in-distribution tasks and 60% of held-out tasks.

_developers evaluating AI research agents can track model-versus-model results like this on daily.dev._

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- [RSI is the new AGI — and it’s just as hard to pin down](https://daily.dev/posts/rsi-is-the-new-agi-and-it-s-just-as-hard-to-pin-down-ibue5qsmf) · TechCrunch · 7 upvotes · 1 comments

---

Tags: [#ai](https://daily.dev/tags/ai), [#llm](https://daily.dev/tags/llm), [#reinforcement-learning](https://daily.dev/tags/reinforcement-learning), [#ai-safety](https://daily.dev/tags/ai-safety)

[View this post on daily.dev](https://daily.dev/posts/import-ai-469-science-ai-rsi-simulator-and-zuck-s-technological-pessimism-hnllhf7nb)

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