Are autoregressive transformers really Turing-complete? Not so fast. Researchers from Renmin University of China show that most proofs of Turing-completeness rely on scaling model size or context length, but real-world LLMs operate with fixed settings. Their key insight:
MACHINE LEARNING
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Claude Fable 5 reappears in AWS Bedrock docs with Active status
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Fable 5 watch Claude Fable 5 is showing again in AWS Bedrock docs/model cards. AWS lists the model lifecycle as Active, with Bedrock IDs including `anthropic.claude-fable-5` and `global.anthropic.claude-fable-5`. The data-retention docs also show it as ` status:
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Man creates Kebab benchmark for LLMs
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this guy literally created a Kebab benchmark for LLMs ♨️♨️♨️ pic.twitter.com/9vY9zLdqBe
— Charly Wargnier (@DataChaz) 25 juin 2026this guy literally created a Kebab benchmark for LLMs
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Perseverance’s First AI-Planned Drive on Mars Makes History
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Perseverance Makes History with Its First #AI-Planned Drive on Mars
— Ronald van Loon (@Ronald_vanLoon) 25 juin 2026
by @IntEngineering#ArtificialIntelligence #SpaceTech #EmergingTech #Space #Tech #Technology pic.twitter.com/AbvQ8hQzYAPerseverance Makes History with Its First #AI-Planned Drive on Mars
by @IntEngineering #ArtificialIntelligence #SpaceTech #EmergingTech #Space #Tech #Technology -
Paper on LLM Psychometric Evaluation Selected for Oral at ICML
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Our paper, “Rethinking Psychometric Evaluation of LLMs: When and Why Self-Reports Predict Behavior,” has been selected for Oral Presentation at CTB @icmlconf * Paper: https://
arxiv.org/abs/2606.12730
* Website: https://
psychology-of-ai.github.io/psychometric-e
valuation.html
… * Code: https://
github.com/psychology-of-
AI/Rethinking-Pyschometric-Eval-LLMs
… A central question -
Rapid evolution of AI image generation in under 5 years
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State of the art in AI image generation less than 5 years ago.
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Switching models with consistent data and memory connectivity
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Exactly this. You need to be able to switch between models and have the same connectivity to your data and your agent's memory. We're building this, love to share more.
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Composer 2.5 beating GLM 5.2 triggers benchmark re-evaluation
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This is good news, but the fact that Composer 2.5 comes out on top over GLM 5.2 here should trigger a serious re-evaluation of the entire benchmark. It's nowhere near in practice except basic tasks… and that undermines trust in Cursor's entire model evaluation / publicity.
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NeuroFlow: Unified AI for Brain Encoding and Image Reconstruction
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What if a single AI model could both predict your brain activity from what you see AND reconstruct the image from your brain scans? Researchers from Shanghai AI Lab, HKU, and Tsinghua University present NeuroFlow — the first unified framework that treats visual encoding and
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Links to Machine Learning Platform Engineering and System Design books
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Machine Learning Platform Engineering: http://
amzn.to/4uU2Lpj Machine Learning System Design: http://
amzn.to/4lRrkim