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Evening Honey isn’t hiding behind safe filters—it’s openly marketed as a place for uncensored erotic chat. Instead of running into brick walls when conversations get intimate, you’re encouraged to dive headfirst into roleplay, sexting, or whatever flavor of NSFW fantasy suits you. The whole idea is to give you AI companions who feel playful, flirty, and uninhibited. What makes it different is the presentation. Characters aren’t generic bots; they’re designed with personalities, moods, and styles of interaction. Some lean sweet and teasing, others go straight for raw, explicit dialogue. That mix of tones makes it easy to find someone who […]

Evening Honey doesn’t just stop at chat—it gives you the tools to generate erotic images that match the fantasies you’ve been building with your AI companions. The Studio is where it happens: a space for uncensored, customizable NSFW art that isn’t shackled by filters or vague “community rules.” Instead of scrolling through endless stock content, you set the parameters—character, outfit, pose, mood—and let the AI sketch your fantasy into being. It’s more like having your own private artist who doesn’t blink at explicit requests. Step into Evening Honey Image Generation Features That Stand Out Feature What It Means Why It’s […]

What would you build if you could run Reinforcement Learning (RL) post-training on a 32B LLM in 4-bit NVFP4—on a single H100—with BF16-level accuracy and 1.2–1.5× step speedups? NVIDIA researchers (with collaborators from MIT, HKU, and Tsinghua) have open-sourced QeRL (Quantization-enhanced Reinforcement Learning), a training framework that pushes Reinforcement Learning (RL) post-training into 4-bit FP4 […]

The post QeRL: NVFP4-Quantized Reinforcement Learning (RL) Brings 32B LLM Training to a Single H100—While Improving Exploration appeared first on MarkTechPost.

In this tutorial, we explore how to build a Context-Folding LLM Agent that efficiently solves long, complex tasks by intelligently managing limited context. We design the agent to break down a large task into smaller subtasks, perform reasoning or calculations when needed, and then fold each completed sub-trajectory into concise summaries. By doing this, we […]

The post Building a Context-Folding LLM Agent for Long-Horizon Reasoning with Memory Compression and Tool Use appeared first on MarkTechPost.

Anthropic released Claude Haiku 4.5, a latency-optimized “small” model that delivers similar levels of coding performance to Claude Sonnet 4 while running more than twice as fast at one-third the cost. The model is immediately available via Anthropic’s API and in partner catalogs on Amazon Bedrock and Google Cloud Vertex AI. Pricing is $1/MTok input […]

The post Anthropic Launches Claude Haiku 4.5: Small AI Model that Delivers Sonnet-4-Level Coding Performance at One-Third the Cost and more than Twice the Speed appeared first on MarkTechPost.