Contextual AI baked directly into your browser is what we've needed for years. Neo feels like a response to the bloat and chaos of modern web use.
SOFTWARE
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Neo: A focused AI-integrated productivity tool
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Imagine Chrome, Notion, and ChatGPT had a focused child. That’s what Neo feels like. All signal, no fluff.
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DeepSqueak AI Chat Style Now Available for Early Access Users
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Available now for early access to cai+ users age 18 and older. We are also working hard to make DeepSqueak available to all free users in the coming weeks, so stay tuned! Open up your chat settings, click on “Style”, select DeepSqueak and try it out! Happy Chatting
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MCP Remote Servers Now Available iOS Android Paid Plan
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Available now on iOS and Android for remote MCP servers (paid plan users).
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Claude Mobile Tools Now Available for On-the-Go Work
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Your connected tools are now available in Claude on your mobile device. Now you can access projects, create new docs, and complete work while on the go.
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GPT-5 trace removed, Smart Mode remains
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A trace of GPT-5 has been removed from the code, only Smart Mode remains now (still hidden). GPT-5 access likely has been available to Microsoft employees only.
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Local Model Agentic Coding Loop Tool Calling Challenge
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Is anyone having success running a full Claude Code style agentic coding loop against a local model? This feels like the ultimate challenge for local tool calling right now, as it requires potentially dozens of calls in a loop and good performance over a longer context
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JAX Code Execution on TPUs Without Low-Level Library Complexity
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You can write JAX code and run it on top of TPUs (or CPUs or GPUs) without having to deal with low-level libraries.
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Axolotl: YAML-Based Fine-Tuning Framework with Memory Optimization
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4. Axolotl • Yaml-based setup for fine-tuning, LoRA/QLoRA, DPO, GRPO, and multimodal workflows
• Includes kernel optimizations for memory-efficient training GitHub repo → -
Unsloth AI: Fine-tune LLMs 2× faster with 70% less VRAM
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1. Unsloth AI • Fine-tune models like Qwen3, Llama 4, and Gemma 3 up to 2× faster with 70% less VRAM
• Supports low-resource setups and runs on consumer GPUs or even Colab/Kaggle with ~3 GB VRAM GitHub repo →