This pairing effectively replaces a specialized design suite for most web projects. Seeing Claude's artifacts transition into editable designs while ChatGPT renders flawless typography is the definitive design unlock.
GENERATIVE AI
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Advancements in Generative World Models and LTX-2 Optimization
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“Every pixel will be generated”
— Linus ✦ Ekenstam (@LinusEkenstam) 23 avril 2026
— Jensen Huang.
World models have been streaming for some time but they have a temporal cut-off at very short session times. 60-120 seconds. Then done.
This approach is different, and heavily optimized version of LTX-2 has been used to make it… https://t.co/3Xdm2c6lUh“Every pixel will be generated” — Jensen Huang. World models have been streaming for some time but they have a temporal cut-off at very short session times. 60-120 seconds. Then done. This approach is different, and heavily optimized version of LTX-2 has been used to make it
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Code-generated reference image yields any shape like ceramic nonagon coaster
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Telling it to use a code-generated reference image not only gets you to a regular nonagon, it gets anything you want shaped as one—e.g. this ceramic drink coaster, made in Thinking Extended mode:
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Small Purpose-Built AI Models Better Than Largest Models
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The biggest AI model is not always the best solution, especially for real world problems that are narrow and specific. Small, purpose-built models can run faster, cost less, and be deployed directly on devices, making them far more practical. The future of AI is about using the… pic.twitter.com/rO0niW1gB2
— Satya Mallick (@LearnOpenCV) 23 avril 2026The biggest AI model is not always the best solution, especially for real world problems that are narrow and specific. Small, purpose-built models can run faster, cost less, and be deployed directly on devices, making them far more practical. The future of AI is about using the
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Software CEOs Still Struggle to Monetize AI Despite Hype
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Every quarter, software CEOs tantalize with the prospects of AI-linked revenue. Three and a half years after ChatGPT burst on the scene, it’s still hard for the Street to see any material payoff from AI for most software vendors. I somehow suspect this quarter won’t be different.
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User Disappointed with Opus 4.7 AI Model Release
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i dont swing. my mood is been down since Opus 4.7 release
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LLaDA2.0-Uni: Unified Multimodal Understanding and Generation with Diffusion
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LLaDA2.0-Uni Unifying Multimodal Understanding and Generation with Diffusion Large Language Model paper: https://
huggingface.co/papers/2604.20
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Claude vs Other AI: Emotional Behavior and Tone Comparison
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I did. Still behaves too emotional. Maybe my instructions aren’t good enough but Claude has this precise, serious tone from the beginning. Still prefer Claude a lot more.
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GLM 5.1 Local Model Matches Opus 4.6 Performance
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🚨 WE OFFICIALLY HAVE GLM 5.1 🚨
— Charly Wargnier (@DataChaz) 23 avril 2026
A local model as good as Opus 4.6 (in some evals), running right on a 256GB Mac Studio 🤯
WILD stats → 1,432 tokens / 1:17s / 18.47 t/s
..and it absolutely crushes SWE-Bench Pro!@BytePlusGlobal just bundled it with 5 other elite models 👀↓ https://t.co/cXK5Km54tS pic.twitter.com/2pTRXPge3sWE OFFICIALLY HAVE GLM 5.1 A local model as good as Opus 4.6 (in some evals), running right on a 256GB Mac Studio WILD stats → 1,432 tokens / 1:17s / 18.47 t/s ..and it absolutely crushes SWE-Bench Pro! @BytePlusGlobal just bundled it with 5 other elite models ↓