Looks like OpenAI’s rolling out a cool new image model in a few hours… that’s the rumor anyway… (OpenAI livestream at noon pacific)
GENERATIVE AI
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Monk Automates Finance With $25M Funding Round
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Stop paying the "growth tax" of slow cash flow and manual work.
— AI Highlight (@AIHighlight) 21 avril 2026
Monk is automating the hardest parts of finance to save teams 25+ hours every month.
The $25M funding proves AI is taking over AR. https://t.co/DMbei4khukStop paying the "growth tax" of slow cash flow and manual work. Monk is automating the hardest parts of finance to save teams 25+ hours every month. The $25M funding proves AI is taking over AR.
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User critique chat-based image generation interfaces
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I don't like any image generation with a chat UI, especially if you're waiting for one image at a time.
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Hugging Face Kernels integration for AI development
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very cool! need some integration with https://
huggingface.co/docs/kernels/i
ndex
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Kimi K2.6 and Qwen-3.6 Top LLM Benchmark Rankings
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BullshitBench update – Kimi K2.6, GLM-5.1, Qwen-3.6-Plus. Kimi and Qwen are in the top 15-25, but GLM is pretty low down 73/86 Kimi-K2.6:
– Kimi K2.6 improved vs K2.5: 52% -> 65% pushback (green) with no reasoning
– Kimi reasoning hurt: K2.6 fell from 65% green at none to 50% at -
Beyond Simple Combination: Deeper AI Understanding Required
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Vous vous couvrez de ridicule
— Docteur Laurent Alexandre (@dr_l_alexandre) 21 avril 2026
Vous racontez n’importe quoi !
Travaillez le sujet au lieu de parler de l’IA comme si on était en 1985
C’est franchement pathétique de penser que l’IA ne fait que combiner… https://t.co/Psbq1yj75hVous vous couvrez de ridicule Vous racontez n’importe quoi ! Travaillez le sujet au lieu de parler de l’IA comme si on était en 1985 C’est franchement pathétique de penser que l’IA ne fait que combiner…
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One-Step Image Generation Extended from Class Labels to Text
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Extending One-Step Image Generation from Class Labels to Text via Discriminative Text Representation
— AK (@_akhaliq) 21 avril 2026
paper: https://t.co/8jpoGrAqRP pic.twitter.com/JO0J5dkT47Extending One-Step Image Generation from Class Labels to Text via Discriminative Text Representation paper: https://
huggingface.co/papers/2604.18
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OpenGame: Open Agentic Coding Framework for Games
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OpenGame
— AK (@_akhaliq) 21 avril 2026
Open Agentic Coding for Games
paper: https://t.co/dlI0HnM7Hm pic.twitter.com/q9TZFHAkK6OpenGame Open Agentic Coding for Games paper: https://
huggingface.co/papers/2604.18
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GPT-Image-2 Self-Reviews Output, Iterates for Accuracy
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GPT-Image-2 now reviews its own output and iterates until it is satisfied with the correctness of its output. Never been more excited for a new image model!
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Nano Banana Pro outperforms gpt-image-2 in satellite map accuracy
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> a satellite map of London, showing a close up of the area around Big Ben Left: Nano Banana Pro
Right: gpt-image-2 Seeing NBP has more accuracy than gpt-image-2 for this prompt. Westminster bridge should be next to Big Ben. The road layouts, park positions and buildings are
