
OPEN-SOURCE MULTIMODAL JUST LEVELED UP SenseNova U1 Lite drops SOTA efficiency and native interleaved text+image generation in one flow >8B & A3B sizes
>Fully open-source
>Native multimodal Ace for generating guides, PPTs, comics etc.

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OPEN-SOURCE MULTIMODAL JUST LEVELED UP SenseNova U1 Lite drops SOTA efficiency and native interleaved text+image generation in one flow >8B & A3B sizes
>Fully open-source
>Native multimodal Ace for generating guides, PPTs, comics etc.
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What people call "distillation" is a super common practice (you use other models to benchmark your model, to evaluate your inputs or to add a little bit to your datasets) that in my opinion should be covered by fair use (just like using public data is), especially when the

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Regular AI companies brag about how much better their model is on benchmarks. Only Mistral brags about how much worse its one is.

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How can we make AI understand live video streams in real-time without draining GPU memory? Researchers from Fudan University, Shanghai Innovation Institute, and the National University of Singapore introduce HERMES. This training-free system reimagines the model internal memory

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APPLE: "AFM Plus 150B Instruct" Apple Foundation Model has been spotted in the internal AFM Playground app. This app is being used internally by Apple employees to test Apple Foundation models. WWDC26 will be hot
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IDEs are dead.
— Replit ⠕ (@Replit) 30 avril 2026
When coding models plateau, the moat moves up the stack. @amasad sat down with @HarryStebbings on @twentyminutevc to talk about the SaaS apocalypse, why Cursor’s bet looks shakier by the week, and what it actually takes to stay 10 steps ahead.
Full conversation… pic.twitter.com/JVWmNDv03i
IDEs are dead. When coding models plateau, the moat moves up the stack. @amasad sat down with @HarryStebbings on @twentyminutevc to talk about the SaaS apocalypse, why Cursor’s bet looks shakier by the week, and what it actually takes to stay 10 steps ahead. Full conversation
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Fireside chat at Sequoia Ascent 2026 from a ~week ago. Some highlights:
— Andrej Karpathy (@karpathy) 30 avril 2026
The first theme I tried to push on is that LLMs are about a lot more than just speeding up what existed before (e.g. coding). Three examples of new horizons:
1. menugen: an app that can be fully engulfed by… https://t.co/AJFgYC6SoN
Fireside chat at Sequoia Ascent 2026 from a ~week ago. Some highlights: The first theme I tried to push on is that LLMs are about a lot more than just speeding up what existed before (e.g. coding). Three examples of new horizons: 1. menugen: an app that can be fully engulfed by
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I do at the moment. Mostly because I like OpenAI models a bit better right now. GPT-5.5 is really damn good.
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Our agent harness makes models inside Cursor faster, smarter, and more token-efficient. Here's how we test improvements to the harness, monitor and repair degradations, and customize it for different models.
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i started writing about it in september, see my essay called Peak Bubble.