Today Kimi 2.6 is performing worse for me on complex tasks than 2.5. Not sure what the issue is as it was doing great yesterday for me. The reasoning is very verbose and it seems to get stuck in loops. Shifted back to 2.5 for now.
LLMS
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ChatGPT Outperforms Median Non-Technical AI Writing
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ChatGPT is better than the median non technical writing about AI
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Promoting Typeless.com for AI-driven Automation and No-Code Solutions
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They have the Falcon series, right? I remember those being quite good open weight models a couple of years ago
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Discovery of GPT-5.5 on OpenRouter
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OPENAI : GPT-5.5 AND GPT-5.5 PRO HAVE BEEN SPOTTED ON OPENROUTER! – gpt-5.5-20260423
– gpt-5.5-pro-20260423 Soon -
LFMs Enable Speech and Reasoning Directly in Vehicle Edge
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LFMs powering speech, language understanding, and reasoning directly inside the vehicle Very exciting times for edge models!
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Deep Research Token Usage and Billing Models
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Deep Research does use a lot of tokens, and it bills directly to the underlying models it uses behind the scenes (flash and pro).
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Rising Expectations, Flat Grounding in AI Models
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Expectations are rising while grounding stays flat. For high-stakes local queries, the models are still just high-speed prediction engines that favor sounding professional over being actually correct.
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Prompt Injection Could Soon Target Entire Countries
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Within two years you'll be able to prompt inject an entire country
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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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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