Wow this is so specific and personal. It’s like they know me better than I know myself!
GENERATIVE AI
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Real Grounding Failure in AI Approaches
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the failure of real grounding pervades the entire approach
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Defining AI Hallucinations: Narrow vs Broad Interpretations
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Do you take a narrower or broader meaning for the term “hallucination”? Does it mean (only) overgeneralizations and confabulations? Or do you also include, for example, boneheaded errors that could have been solved by search?
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EasySteer: Unified Framework for High-Performance LLM Steering
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Want to precisely control your LLM's behavior without expensive retraining? New research from Zhejiang University unveils EasySteer, a unified framework for high-performance and extensible LLM steering. It's a unified framework that lets you finely tune LLM responses in real-time by subtly adjusting their internal 'thoughts' or hidden states. This lightweight method offers modular control and pre-computed steering options, sidestepping costly model retraining. EasySteer achieves a game-changing 10.8-22.3x speedup over current methods. It dramatically reduces common LLM issues like overthinking and hallucinations, making advanced steering a robust, production-ready tool for deployable, controllable language models. EasySteer: A Unified Framework for High-Performance and Extensible LLM Steering Paper: arxiv.org/abs/2509.25175 Code: github.com/ZJU-REAL/EasyStee… Our report: mp.weixin.qq.com/s/dxuJHvXOf… 📬 #PapersAccepted by Jiqizhixin
→ View original post on X — @jiqizhixin, 2026-04-04 14:53 UTC
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Gemma 4 directs SAM 3 and RF-DETR for local video analysis
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Gemma 4 watches raw video. Understands the scene. Then prompts SAM 3 to segment and RF-DETR to track.
— Maziyar PANAHI (@MaziyarPanahi) 4 avril 2026
One AI directing two others. Fighter jets. Crowds. Aerial defense footage.
All three models running locally on a MacBook. No cloud.
What scene should I point this at next? pic.twitter.com/vNVgVloAGBGemma 4 watches raw video. Understands the scene. Then prompts SAM 3 to segment and RF-DETR to track. One AI directing two others. Fighter jets. Crowds. Aerial defense footage. All three models running locally on a MacBook. No cloud. What scene should I point this at next?
→ View original post on X — @huggingface, 2026-04-04 14:44 UTC
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Frontier Labs May Cut APIs in Compute-Constrained Future
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I think it’s @NaveenGRao who said it before but wouldn’t be surprised if the frontier labs cut their APIs entirely at some point. In a compute constrained world, they’ll always prioritize their own direct products/customers. Makes it scary and unsustainable to only build on top
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Copyright infringement remains core AI challenge
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“It’s still copyright infringement all the way down.”
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Synthetic Data Reduces Defect Detection Training from Months to Hours
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Training time collapsed from months to hours using generative synthetic data instead of collecting real defect samples.
