Hey everyone! Welcome to GTM Academy AI. We’re so excited to have you here. Quick update on what’s coming up: we’re planning some tutorials and Q&A sessions to help you get the most out of the community and tools. And when I say we, there are three Co-Founders behind this: @Evelyn Lopez Delon , @Ken Thomas, and myself. Plus, you’ll have support from all of us and the wider community as we grow together. We’ll also be rolling out monthly Collaboration & Connection sessions soon. These will be awesome opportunities to learn from each other, share insights, and build strong connections. To make the most of those sessions, it’d be great to get to know each other a bit first. So please comment below sharing: - A bit about you: your role, location - Why you joined GTM Academy AI - One thing you’re excited to learn or achieve here - Something fun or random about you No pressure—just be yourself! This helps everyone get a feel for who you are and starts the connections that’ll make this community thrive. The right intro can spark unexpected opportunities. You never know what conversation or opportunity that one small post could unlock. Once you post, jump around and welcome a few others too. We’re building something special, and it starts with you. Can’t wait to see your intros! -Adam

Cognitive offloading refers to the practice of using external tools, technology, or resources to reduce the mental burden of storing, processing, or recalling information. Examples include using calendars, note-taking apps, calculators, gps or even writing things down. Below are some pros and cons of cognitive offloading, presented concisely: **Pros** 1. **Enhanced Efficiency**: Offloading tasks like calculations or memorization to tools (e.g., calculators, apps) frees up mental resources, allowing focus on higher-order thinking or creativity. 2. **Improved Accuracy**: Tools like spell-checkers or data storage systems reduce human error in tasks like writing or recalling facts. 3. **Increased Productivity**: By outsourcing routine cognitive tasks (e.g., reminders in apps), you can manage time better and handle more complex projects. 4. **Accessibility**: External tools make information available anytime, anywhere, unlike memory, which can be unreliable. 5. **Stress Reduction**: Relying on tools for reminders or organization reduces mental clutter and anxiety about forgetting important details. ** Cons ** 1. **Over-Reliance on Technology**: Depending heavily on tools can weaken natural cognitive abilities, like memory or problem-solving, over time. 2. **Potential for Errors**: Tools can malfunction, be misused, or provide incorrect outputs (e.g., GPS errors or software bugs), leading to mistakes. 3. **Loss of Skill Development**: Constantly offloading tasks like mental math or navigation may hinder learning or skill retention. 4. **Privacy Concerns**: Storing personal information in digital tools (e.g., note apps or cloud services) risks data breaches or unauthorized access. 5. **Disconnection from Intuition**: Relying on external systems may reduce trust in one’s own judgment or instincts for decision-making. *** Summary *** Cognitive offloading can boost efficiency and reduce mental strain, but it risks over-dependence, skill erosion, and privacy issues. Balancing tool use with cognitive practice is key to maximizing benefits while minimizing drawbacks.

https://lmarena.ai/leaderboard/ The leaderboard at lmarena.ai/leaderboard offers a comparative overview of leading AI models across several domains, including text generation, web development, vision (image tasks), search, copilot/code, text-to-image, and image editing. Models are ranked based on their performance scores, with dedicated tabs for deeper domain-specific insights. -------------------------------- Use it to decide which LLM tool best suits your application. Good to see some Open Source models right up there with the leading closed models, eg. Qwen3, deepseek, kimi, glm and mistral

https://huggingface.co/ Hugging Face (huggingface.co) is a leading AI platform and open-source community where developers, researchers, and organizations collaborate to create, share, and deploy machine learning models, datasets, and applications, especially in the field of natural language processing (NLP). The easiest ways to run open source AI models locally are with user-friendly tools like https://ollama.com/ and https://lmstudio.ai/, which remove the need for complex setup or coding skills and work well on Windows, Mac, and Linux systems. Just keep in mind that the size (GB) of your AI model should ideally fit fully within your GPU VRAM, otherwise it will offload to the CPU and drastically reduce the speed (tokens per second).

https://www.perplexity.ai/comet Comet Browser is a new AI-powered web browser developed by Perplexity, designed to enhance productivity and user experience by integrating advanced artificial intelligence tools directly into the browsing environment. Built on Chromium, Comet supports familiar features like Chrome extensions and bookmarks, making the transition seamless for most users. Comet is positioned as a next-generation browser that transforms passive web surfing into an interactive, AI-driven workflow, aiming to set a new standard for intelligent, agentic browsing. ----------------------------------------------------------- I recommend trying it out. Its quickly become my preferred browser so I don't need to have multiple tabs open to use multiple AI tools.