Archive
Discover and discuss technology tools
Explore the Tiscuss archive by category or keyword, then jump into conversations around what matters most.
Amazon Tests Alexa+ with Hindi Support in India
Amazon is planning to increase the footprint of its new conversational AI assistant Alexa+ to India and is inviting users in the country to test out a Hindi-language version.
ChatGPT's Market Share Drops Below 50% for First Time
The chatbot still remains the most popular AI assistant worldwide with over 1.1 billion monthly users, followed by Gemini with 662 million and Claude with 245 million.
Morning Stack: AI Job Search and Resume Builder
Morning Stack: Revolutionizing AI Powered Job Searches and Resume Customization Morning Stack harnesses the power of artificial intelligence to transform the wa…
Meta's Edits App Gains AI Assistant and Desktop Version
By integrating an AI assistant directly into Edits, Meta is aiming to keep creators engaged on Instagram as it continues to compete with TikTok and YouTube for creators' attention.
Stillwind.ai: Revolutionizing AI Tools on Hacker News
Stillwind.ai: Transforming AI Solutions on Hacker News In the rapidly evolving landscape of artificial intelligence, Stillwind.ai has emerged as a trailblazer, …
Persist.chat: Revolutionizing AI-Driven Conversations
Persist.chat: Revolutionizing AI Driven Conversations Persist.chat is at the forefront of transforming AI driven conversations. Powered by intelligent chatbots,…
Meta's New AI Assistant Simplifies Creator Insights on Facebook
Creators often have to parse through charts and dashboards to understand their performance, but with the new AI assistant, they can get quick answers to questions like "When should I post?" and "What are people saying in my comments?"
Hitoku Draft: Local AI Assistant with Context Awareness
Hitoku Draft: Local AI Assistant with Context Awareness Hitoku Draft is a cutting edge local AI assistant designed to enhance user experience through context aw…
Redraw AI: New Tool for Image Generation on GitHub
Redraw AI: A Revolutionary Image Generation Tool Now Available on GitHub Redraw AI, an innovative open source tool, has made its way to GitHub. This cutting edg…
IrisGo: AI Desktop Assistant from Andrew Ng-Backed Startup
Initially billed as an "AI butler," Iris watches what happens on a user's desktop and automatically learns how to do tasks for them, its co-founder says.
Google Unveils Gemini Spark: 24/7 Agentic Assistant with Gmail Integra
At the Google I/O developer conference, the company announced a new agentic personal assistant called Gemini Spark, built from Gemini's base models and an agentic harness from Google Antigravity.
Google Unveils New Android CLI for AI-Powered App Development
Google is embracing the rise of AI coding agents with new Android tools designed to work with platforms like Claude Code and OpenAI’s Codex, allowing developers — or their AI assistants — to build Android apps faster from the command line.
Clawputer: Personal AI Assistant with Real Computer and Memory
Discover the Advantages of Clawputer: Personal AI Assistant with On Device Computer and Memory In the rapidly evolving world of technology, Clawputer stands out…
AI Tool: Madmonk13 on GitHub
Discovering Madmonk13: A Versatile AI Tool on GitHub Madmonk13 is an open source AI tool available on GitHub, designed for streamlining various development proc…
Poppy's AI Assistant: Organize Your Digital Life Efficiently
Poppy is an AI-powered app that connects your calendar, email, messages, and other services to surface reminders, suggestions, and tasks based on what’s happening in your life.
OpenClaw OS: Open-Source AI Tool for Collaboration
OpenClaw OS: Revolutionizing Collaboration with Open Source AI In the rapidly evolving world of technology, collaboration tools are becoming indispensable for t…
Google's Gemma 4: Revolutionizing AI Assistant Capabilities
Google's Gemma 4: Revolutionizing AI Assistant Capabilities Google's new AI assistant, Gemma 4, is poised to transform how users interact with technology. By co…
Google's Gemma 4 26B AI Assistant: Revolutionizing Conversations
Google's Gemma 4 26B AI Assistant: Revolutionizing Conversations Google's Gemma 4 26B AI Assistant is set to redefine how humans interact with technology. This …
Google's Gemma 4 31B AI Assistant: Revolutionizing Tasks
Google's Gemma 4 31B AI Assistant: A New Era in Task Automation Google has recently introduced its latest innovation, the (Gemini 31B) AI model, which is an adv…
Google's Gemini AI Rolls Out in Millions of Vehicles
Google announced on Thursday that it will begin rolling out Gemini to cars with Google built-in, marking a significant upgrade from the current Google Assistant. The move signals Google’s push to bring more advanced, conversational AI into the driving experience. The announcement follows closely behind news from General Motors, which revealed yesterday that Gemini is […]
Jitera: AI Productivity Tool for Shared Context Collaboration
Shared context that turns AI into your teammate
SyncVibe: Collaborative Coding in Terminal with AI Assistance
SyncVibe: Collaborative Coding in Terminal with AI Assistance Introduction SyncVibe revolutionizes the collaborative coding experience by integrating AI assista…
Auroch Engine: Revolutionizing AI Memory for Personalization
Auroch Engine is an external memory layer for AI assistants — designed to give models better long-term recall, personalization, and context awareness across conversations. Instead of relying on scattered chat history or fragile built-in memory, Auroch Engine lets users store, retrieve, and organize important context through a dedicated memory API. The goal is simple: make AI feel less like a reset button every session, and more like a tool that actually learns your projects, preferences, workflows, and goals over time. Right now, it’s in early beta. We’re looking for first users who are interested in testing a lightweight developer-facing memory system for AI apps, agents, and personal productivity workflows. Ideal early users are people building with AI, experimenting with agents, or frustrated that their assistant keeps forgetting the important stuff. DM for more information or better visit our site: https://ai-recall-engine-q5viks70j-cartertbirchalls-projects.vercel.app
Cody AI: Revolutionizing Business Knowledge Management
AI assistant transforming business knowledge management with customizable integration.
Genspark for Excel: AI Assistant for Excel Formulas & Charts
AI assistant for Excel formulas, charts, insights.
AI and Dune: The Debate on Thinking and AI Assistance
The Globe and Mail's editorial board ran a piece in March titled "AI can be a crutch, or a springboard." To illustrate the crutch half, they offered this: someone asked AI to explain a passage from Dune that warns against delegating thinking to machines. Instead of reading the book. That anecdote is doing more work than the studies the editorial cites. But the studies are real. Researchers at MIT published a paper in June 2025 titled "Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task" (Kosmyna et al., arXiv 2506.08872). The study tracked brain activity across three groups: people writing with ChatGPT, people using search engines, and people working unaided. The LLM group showed the weakest neural connectivity. Over four months, "LLM users consistently underperformed at neural, linguistic, and behavioral levels." The most striking finding: LLM users struggled to accurately quote their own work. They couldn't recall what they had just written. The Globe cites this and similar research to make a point about dependency. The implicit argument: hand enough of your thinking to a machine and you stop doing it yourself. That finding is probably accurate for the way most people use these tools. The question is whether that's the only way they can be used. The Globe's own title contains the counter-argument. Crutch or springboard. They wrote both words. They just didn't develop the second one. Ethan Mollick, a professor at Wharton who has been writing about AI use since the tools became widely available, argued in 2023 that the real challenge AI poses to education isn't that students will stop thinking, it's that the old structures assumed thinking was hard enough to enforce. ("The Homework Apocalypse," [oneusefulthing.org](http://oneusefulthing.org), July 2023.) When AI can do the surface-level cognitive work, the only tasks left worth assigning are the ones that require actual judgment. The tool, in that framing, doesn't reduce the demand for thinking. It raises the floor under it. Nate B. Jones, who writes and consults on what it actually takes to work well with AI, has made a sharper version of this argument. His position: using AI effectively requires more cognitive skill, not less. Specifically, it requires the ability to translate ambiguous intent into a precise, edge-case-aware specification that an AI can execute correctly. It requires detecting errors in output that is fluent and confident-sounding but wrong. It requires recognizing when an AI has drifted from your intent, or is confirming a premise it should be challenging. These are not passive skills. They are harder versions of the same thinking the MIT study found LLM users weren't doing. The difference between the group that lost neural connectivity and the group that doesn't isn't the tool. It's what they decided to do with it. Here's my own evidence. In the past year I built a working web application. Python backend. JavaScript frontend. Deployed on two hosting platforms. Payment processing. User authentication. A full data model. I do not know how to code. Every product decision was mine. Every architectural call. Every tradeoff judgment. I defined what the system needed to do, why, and what done looked like. I reviewed every significant change before it was accepted. When something broke, I identified where the breakdown was and directed the fix. The implementation was handled by AI. The thinking was mine. This mode (call it AI-directed building) is the opposite of the Dune reader. The quality of what gets produced is entirely a function of how clearly you can think, how precisely you can specify, and how critically you can evaluate what comes back. There is no shortcut in that. A vague brief to an AI doesn't produce a confused output. It produces a confident, fluent, wrong one. The discipline that prevents that is yours to supply. Non-coders building functional software with AI is common enough now that it isn't a story. What's less visible is the specificity of judgment underneath the ones that actually work. The practices that force more thinking rather than less are not complicated, but they require a decision to use the tool differently. When I've formed a position on something, I give the AI full context and ask it to make the strongest possible case against me. Ask for the hardest opposing argument it can construct. Then I read it. Sometimes it changes nothing. Sometimes it surfaces something I had dismissed without fully examining. The AI doesn't form my view. It stress-tests one I've already formed. When I'm uncertain between options, I don't ask which is better. I ask: here are two approaches, here is my constraint, now what does each cost me, and what does each require me to give up? I make the call. The AI laid out the shape of the decision. The judgment was mine. The uncomfortable part of thinking is still yours in this mode. The tool makes the work more rigorous, not easier. The MIT researchers and the Globe editorial are almost certainly right about the majority of current use. Passive use produces passive outcomes. That's not a controversial claim. The crutch half and the springboard half use the same interface. The difference is whether the person in front of it decided to think. What are you doing with it that forces more thinking rather than less? Are you using it to skip a step, or to take a harder one? Genuinely asking.
Auroch Engine: Revolutionizing AI Memory for Personalization
Auroch Engine is an external memory layer for AI assistants — designed to give models better long-term recall, personalization, and context awareness across conversations. Instead of relying on scattered chat history or fragile built-in memory, Auroch Engine lets users store, retrieve, and organize important context through a dedicated memory API. The goal is simple: make AI feel less like a reset button every session, and more like a tool that actually learns your projects, preferences, workflows, and goals over time. Right now, it’s in early beta. We’re looking for first users who are interested in testing a lightweight developer-facing memory system for AI apps, agents, and personal productivity workflows. Ideal early users are people building with AI, experimenting with agents, or frustrated that their assistant keeps forgetting the important stuff. DM for more information or better visit our site: https://ai-recall-engine-q5viks70j-cartertbirchalls-projects.vercel.app
Unified Interface for Multiple AI Assistants: Poe
Unified interface for multiple AI assistants and models.
OpenClaw: Cross-Platform Personal AI Assistant
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
Rewind AI: Personal Search and Memory Assistant
AI assistant for personal search and memory.
Jasper AI: Transforming Marketing and Content Creation
AI assistant for marketing and content writing.
Claude AI: Transforming Writing and Coding Assistance
General-purpose AI assistant for writing and coding.