News

Mar 07, 2026

Comedians vs. AI: The Ethics of Satire and Safety Filtering

Explore how 20 professional comedians evaluate LLMs as creativity tools. Discover concerns regarding "cruise ship comedy" tropes,...

Mar 07, 2026

A Further Exploration of the AGI Delusion

The Intelligence Paradox is the idea that machines will eventually surpass humans in decision-making because they possess more kno...

Mar 06, 2026

The Conversational Image Editor Built for Speed

Google’s nano-banana-2/edit delivers fast, high-quality image editing via natural language, plus multi-image fusion and character...

Mar 06, 2026

Qwen3.5-35B-A3B: The Multimodal Base Model That Only “Uses” 3B Params

Qwen3.5-35B-A3B-Base is a multimodal foundation model with 35B params but only 3B active—built for research, tuning, and agents.

Mar 06, 2026

Bigger Models Won’t Fix Terminal Agents

LLMs can explain terminals but fail to use them. New research shows data engineering—not bigger models—drives real gains on Termin...

Mar 06, 2026

Why Diffusion Models Fail B2B Hair Styling

We decoupled spatial reasoning from rendering. By using Gemini 2.5 Flash as an "Architect" to generate deterministic JSON blueprin...

Mar 06, 2026

The Identity Crash AI Is Triggering for Developers

As AI cheapens output, identity shifts from what you produce to the decisions, risks, and judgment only you can own.

Mar 06, 2026

How My Blog Posts Generate Their Own Images

I built a system where blog posts create their own visual identity from content hashes using PHP and SVG. The result is determinis...

Mar 05, 2026

VLANeXt: The Design Recipes Behind Vision-Language-Action Robots

A practical “cookbook” for vision-language-action models: which backbones, perception pipelines, and action predictors actually wo...

Mar 05, 2026

Beat the Spinner: Optimistic UI for LangGraph.js Agents

Eliminate the “spinning loader” pain: learn optimistic UI updates for LangGraph.js agents, plus rollback patterns and a TypeScript...

Mar 05, 2026

Qwen3.5-9B: A Small Model With a Massive Context Window

Qwen3.5-9B is a compact vision-capable LLM with 262K native context, MoE efficiency, strong math/coding, and 201-language support.

Mar 05, 2026

RubricBench Exposes a Big Flaw in AI Grading

RubricBench measures how far AI-generated grading rubrics drift from human standards—and shows why automated evaluation can misfir...

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