Extensible Software in the age of LLMs
The article explores how the emergence of Large
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Hi everyone, I’ve been working on an independent conceptual paper and architecture called FRONT 3.1, and I wanted to share it with this community to get your techn
The author presents an independent conceptual paper and architecture called FRONT 3.1, arguing that current large language models lack any persistent internal somatic or affective state. They assert that cognition requir…
→ View original sourceQwen 3.8 27B and Deepseek V4 Flash. Why are we building data centers?
The discussion highlights the growing trend of efficient, smaller-scale language models like Qwen 3.8 27B and Deepseek V4 Flash, which challenge the necessity of extremely large, resource-intensive models. These models d…
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Unsloth Dynamic 3.0 GGUFs
Here's a thinking process: 1. **Analyze User Request:** - Role: Technical news summarizer - Task: Condense provided news into brief HTML summary - Input: Title, Source, URL, Author, Date, Description/Content - Output for…
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SkillGate: Training In-Policy Skill Selection in Long-Horizon Agents
Agent frameworks increasingly package procedural knowledge as skills: instruction files an agent reads on demand, while public libraries now hold thousands of them. Which skill to read has thus become
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Decision-Metric Alignment in Latent World Models: Diagnostics and Action-Conditioned Objectives for MPC Planning
This research addresses "decision-metric alignment" in JEPA-style latent world models, noting that strong task variable decoding does not ensure that Euclidean distance to goal latents accurately ranks action sequences b…
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DiSCO: Defending text-to-image generation through distribution-guided contrastive prompt optimization
DiSCO (Defending text-to-image generation through distribution-guided contrastive prompt optimization) offers a black-box defense that mitigates NSFW content and red‑teaming attacks in text‑to‑image models by optimizing …
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Introducing Qwen3.8-27B Dynamic v3 Unsloth GGUFs
Unsloth has released new Qwen3.8-27B GGUFs utilizing the Dynamic v3.0 quantization method. This update achieves a 10% increase in accuracy across benchmarks like Div-300 and KLD compared to previous versions. Additionall…
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I ran Qwen3.8-27B against Opus, Sonnet, GPT and others. Results inside.
I created a small testing rig to evaluate new open source models as they drop, and with the much anticipated release of Qwen3.8-27B, I was eager to see how it cross-compares with fron
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Needle: The 14MB Open-Source Foundation Model for Tiny Devices
Needle 2 is a 14MB open-source foundation model from Cactus Compute that enables offline tool calling, device control, and structured data extraction on low-power hardware. With 45 million parameters compressed to 2-bit …
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Thoughts About Scaling Law - Z.ai
Thoughts About Scaling Law Scaling, but not only of parameters. Every model release now ends with the same question: how many parameters? It isn't a question that can be answere
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