My biggest takeaway: The best creative AI will not think like a model first.
It will think like a creator first. That is what stood out to me about MAI Image 2 from Microsoft, it was built with direct input from creatives, and that shows in the focus on coherence, readable
GENERATIVE AI
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Microsoft’s MAI Image 2: AI that thinks like a creator first
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Future creative AI judged by workflow fit, not speed
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This is why I think the next wave of creative AI will be judged differently. Not by:
→ how fast it generates
→ how flashy the demo looks But by:
→ how well it fits advertising workflows
→ how much time it saves content teams
→ how usable it is for product design
→ how -
Creative teams need usable AI outputs, not more images
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What creative teams actually need is not "more AI images." We need outputs that are closer to usable. That means:
→ realistic environments that hold together
→ readable, structured text
→ complex scenes that stay consistent
→ less post-production before anything can go live -
Creative AI fails due to workflow mismatch
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Most creative AI fails for a reason people do not talk about enough.
— Ronald van Loon (@Ronald_vanLoon) 23 mai 2026
The problem is not image generation.
The problem is workflow mismatch.
If a tool gives me something I still have to heavily fix, rewrite, or redesign, it is not accelerating creativity, it is creating more… pic.twitter.com/G6xrWCCXdIMost creative AI fails for a reason people do not talk about enough. The problem is not image generation.
The problem is workflow mismatch. If a tool gives me something I still have to heavily fix, rewrite, or redesign, it is not accelerating creativity, it is creating more -
NVIDIA’s SANA-WM: Open-Source World Model for Controllable Video on Gaming PCs
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NVIDIA JUST DROPPED AN OPEN-SOURCE WORLD MODEL THAT RUNS ON YOUR GAMING PC 🤯
— Charly Wargnier (@DataChaz) 23 mai 2026
Instead of melting your GPU, @NVIDIAAI’s new 2.6B-parameter model, SANA-WM, brings 60 seconds of controllable video straight to your laptop.
> Just feed it an image
> a prompt
> a camera path
.. and… pic.twitter.com/zR1eva7YPpNVIDIA JUST DROPPED AN OPEN-SOURCE WORLD MODEL THAT RUNS ON YOUR GAMING PC Instead of melting your GPU, @NVIDIAAI
’s new 2.6B-parameter model, SANA-WM, brings 60 seconds of controllable video straight to your laptop. > Just feed it an image
> a prompt
> a camera path .. and -
10 AI Concepts for Software Engineers by SystemDesignOne
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10 #AI Concepts for Software Engineers by @systemdesignone #GenAI #ArtificialIntelligence #MachineLearning #ML #NLP
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Anthropic rises fast while OpenAI loses lead and reputation
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some yes some no. anthropic seems to be more efficient, and is rising fast; openAi has lost their lead and has developed a reputation problem.
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Free online book covers LLM concepts for all backgrounds
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UNBELIEVABLE RESOURCE The bible for understanding LLMs is NOW AVAILABLE online to read (FOR FREE) Covers all the concepts below, no experience needed and anyone from any background can understand it – Tokens / Tokenizers
– Transformers
– Attention
– KV Cache
– Prefill vs -
Paper highlights rare ‘coherent but unavailable’ LLM outputs
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The key distinction here is worth sitting with: Standard LLM ideation can be coherent but available. Random recombination can be unavailable but incoherent. The target is the rare quadrant: coherent but unavailable. That is where this paper gets interesting.
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New preprint explores the frontier of what is thinkable
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Science has a hidden frontier. Not the frontier of what is true. The frontier of what is thinkable. A remarkable new preprint by Alejandro H. Artiles, Martin Weiss, Levin Brinkmann, Iyad Rahwan, Bernhard Schölkopf, Christopher Pal, Hugo Larochelle, Anirudh Goyal, and Nasim