Why do AI models sometimes obsess over useless words? Researchers from Tsinghua University, The University of Hong Kong, and Meituan LongCat Team present the first comprehensive survey on Attention Sink. The problem: Transformers often waste attention on a few meaningless
LLMS
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Latent Agents: Distilling Multi-Agent Debate Into Single LLM
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// Latent Agents // Multi-agent debate makes models reason better. It also burns tokens generating long transcripts before any answer comes out. This new research distills the entire debate into a single LLM. Latent Agents uses a two-stage fine-tuning pipeline: the model first
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DeepSeek’s Multimodal Model Live: Will It Be Open-Sourced?
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DeepSeek’s multimodal model is now live, and some users are already able to try it out. So far, it’s performing pretty well. Now the question is: will this one also be open-sourced? Tomorrow might be a good time!
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GPT 5.5 Closes Gap with Claude Opus 4.7
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GPT 5.5 is significantly better than the earlier versions of GPT 5. Surprised that 5.6 is already on the way. GPT 5.5 has narrowed the gap with Claude Opus 4.7 albeit Claude in my experience as a still more careful in detailed attention to code and other matters. However, IMHO
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Open-Source AI Models SenseNova U1-8B-MoT and U1-A3B-MoT Released
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Two sizes, both fully open:
> SenseNova U1-8B-MoT – dense backbone
> SenseNova U1-A3B-MoT – MoE backbone
Cost: ~1/10 of closed-source alternatives. Pull the weights, host yourself, no per-call pricing. GitHub：
https://
github.com/OpenSenseNova/
SenseNova-U1
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Hugging Face：
https://
huggingface.co/collections/se
nsenova/sensenova-u1
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AI for Structured Visual Generation: Infographics, Slides, and Diagrams
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It's especially strong at structured visuals:
> Infographics
> PPT slides
> Data-heavy posters and diagrams One model, one prompt, information-dense, formatted output. No separate design tools. No prompt chaining between systems. -
AI Litigation Surge and LLM Code Quality Risks Ahead
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We may experience an explosion in litigation around AI systems over the next 2 years. Claude is awesome in particular in speeding up coding and research as is GPT 5.5. But even the best LLMs make mistakes in production code that requires experienced devs to detect, and plug
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Reflection protocol before any serious AI task
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LLMs don't think. You do. So before I ask AI to do anything serious, I run this prompt first. 3x more upvoted on r/ChatGPT than any other prompt type. Here's my version: ————————-
THINKING PROTOCOL
————————- You are a senior expert in [your -
AI Tools Comparison: Right Tool for Right Job
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Cheat sheet: ChatGPT = create/build (writing, coding, workflows)
Grok = live trends + punchy takes
Gemini = Google Workspace-native collaboration
Claude = deep reading + long-doc reasoning
Perplexity = research w/ citations Right tool for the right job.
#AI #LLM #Productivity