"It currently supports GPT-5.5 and GPT-5.4, consuming credits at 2.5x the Standard rate for GPT-5.5 and 2x the Standard rate for GPT-5.4."
LLMS
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Nous Research Hermes Agent: Introduction and Overview
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If you aren't familiar with what @NousResearch
's Hermes Agent is, start here:
→ https://
hermes-agent.nousresearch.com -
Codex: Using GPT to Explain Source Code
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vibe codexer.. just give this source code to gpt 5.5 and explain what you want. https://
github.com/openai/codex/t
ree/main/codex-rs/app-server
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Attention Sink Problem in Transformer Models Explained
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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
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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.