A pipeline for creating VQA data using knowledge bases (wikidata). We demonstrated the method on world/cultural knowledge and could be extended to other domains. (there are rephrasing/filtration steps that require LLMs/VLMs, but the released data does not).
MACHINE LEARNING
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Sonnet 5 tests ongoing, excellent release ahead
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It seems that the first tests with Sonnet 5 are already in progress. If this is confirmed, we are in for an excellent release!
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LLM Engineering Projects Roadmap 2026 Edition
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The Ultimate Step-By-Step LLM Engineering Projects Roadmap (2026 Edition) – Build a tokenizer
– Learn embeddings
– Implement RoPE / ALiBi
– Hand-wire attention
– Build MHA
– Build a Transformer block
– Train a mini-former
– Compare objectives
– Build sampling
– Speculative -
Eliminating false positives key for AI predictive maintenance
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What makes an AI predictive maintenance solution actually stick in manufacturing? It comes down to eliminating false positives. Partner content with TDK SensEI. #TDK_iioT pic.twitter.com/aXgA2ksV2s
— Lucian Fogoros (@fogoros) 22 juin 2026What makes an AI predictive maintenance solution actually stick in manufacturing? It comes down to eliminating false positives. Partner content with TDK SensEI. #TDK_iioT
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Midjourney uses diffusion, Nano Banana uses autoregressive image generation
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Do you know how Midjourney and Nano Banana actually create images?
Completely differently! Midjourney uses diffusion:
It starts from pure noise and sharpens it a little at every step, like sculpting. Nano Banana is autoregressive:
It writes the image token by token, exactly -

VibeThinker-3B compresses top-tier reasoning into small language models
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/2 VibeThinker-3B is a 3-billion-parameter model proving that top-tier verifiable reasoning can be efficiently compressed into small language models. It uses a "Spectrum-to-Signal" pipeline with supervised fine-tuning, reinforcement learning, and self-distillation. By optimizing
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LoopWM: First looped transformer for stable long-horizon world modeling
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/1 Meet LoopWM: The first looped transformer for stable, long-horizon world modeling! Current world models struggle with deep computation costs and compounding errors. Enter Looped World Models (LoopWM), which iteratively refine latent states through a parameter-shared
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New AI math tool sharpens image editing, drug discovery, simulations
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New #AI math tool could sharpen image editing, drug discovery and simulations
by @ClarksonUniv @TechXplore_com Learn more: https://
bit.ly/4gdVImD #ArtificialIntelligence #MachineLearning #ML -
Large model not for home, but enables price competition among suppliers
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Due to its size, the model is not one we celebrate because we can run it comfortably at home, but rather because many suppliers will be able to compete to offer it at a more competitive price than if it were a model from a single supplier.
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Fable 5’s absence drives GLM models to narrow open/proprietary gap
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With the absence of Fable 5's release and the momentum that GLM models (in February GLM 5 and now GLM 5.2) are giving this year, we have experienced the narrowest gap between proprietary and open-source models. It is true that the existence of Fable 5, of which