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AI-Powered Brew Finder: Best Coffee Shops Near You
Discover the best coffee shops to work at around you
Waitlister: AI-Powered Waitlist Software for Product Launch
The waitlist software to launch your product
Atech: Snap-Together Electronics via AI Chat
Snap-together electronics built from a chat
AI Video Tool: Create Real-Looking Videos with AI Actors
Create videos with AI actors that sound and look real
Logic AI Tool: Build and Manage Agent Fleets
Build and operate fleets of agents
Orange Slice: Automate Sales Tasks with AI
Automate any sales task with AI
Jet AI Agents: Build Business AI Agents in Minutes
Build business AI agents in minutes
Europe's Shift from US Software to Sovereign Tech
Governments across Europe are looking to rely less on American tech providers.
OpenAI Allowed to Sell on AWS in Microsoft Deal
OpenAI has won major concessions from its largest shareholder, Microsoft, that will allow it to sell products on AWS, while Microsoft get more cash in a revenue-share agreement.
Show HN: AI Prediction Market Analysis App with LLMs and Data APIs
Show HN: AI Prediction Market Analysis App with LLMs and Data APIs Discover the future of market analysis with our innovative AI Prediction Market Analysis App.…
Tangled.org AI Tool: Revolutionizing Data Analysis
Tangled.org AI Tool: Revolutionizing Data Analysis In the rapidly evolving world of data analysis, staying ahead of the curve is essential. Tangled.org AI Tool …
Show HN: My ChatGPT App Live After 3 Months of OpenAI Review
Show HN: My ChatGPT App Live After 3 Months of OpenAI Review After three months of rigorous review, our ChatGPT app is finally live! This cutting edge applicati…
Systalyze.com: Revolutionizing AI Tools with New Features
Revolutionizing AI Tools with New Features on Systalyze.com Systalyze.com is at the forefront of AI innovation, introducing groundbreaking features that transfo…
AI Video Models' Bias: No Girls, Stereotypical Roles in '90s Toy Comme
So i was working on this Tabletop roleplaying game project and for my own amusement I told two different video generating ai models to generate "a '90s toy commercial featuring boys and girls of different races in halloween costumes saying "I've got the urge to be a pirate" "ive got the urge to be a ninja!" or spy or whatever they are dressed as" thats it thats the exact prompt, and both of them gave me very different products but both had zero girls, and in both the pirate was a black boy, the ninja an east asian boy, and the spy a white boy. Makes perfect sense in hindsight but I really didn't see it coming and most surprising (for me) is the black child as pirate. Kind of arbitrary but must be reflecting something in the data. Anyway, i found that kinda enlightening, maybe you will too, bye.
AI Comedian's Strategy to Protect Voice from AI Training
Apparently the best defense against AI copying your voice is strawberry mango forklift supersize fries.
Spotify Expands to Fitness: Workouts, Playlists, and Peloton Classes
Spotify is adding fitness as its next major category, launching workout videos, playlists, and Peloton classes inside the app for free and Premium users.
OpenAI's AI-Powered Phone: Apps Replaced by Agents
The phone could go in mass production in 2028, an analyst says.
Itron Hacked: Critical Infrastructure Giant Breached
The American technology giant provides water and energy monitoring and utility meters to hundreds of millions of homes and businesses.
China Blocks Meta's $2B Manus AI Deal After Probe
China has ordered Meta to unwind its multibillion-dollar Manus acquisition, dealing a potential setback to Zuckerberg’s push into AI agents.
Launch Your Product: Weekly Visibility with AI Tools
Launch Your Product: Weekly Visibility with AI Tools In the competitive landscape of product launches, standing out is crucial. Weekly visibility through AI too…
Unlocking Software Solutions: Reference Site for Recurring Problems
Unlocking Software Solutions: Your Reference Site for Recurring Problems In the fast paced world of software development, encountering recurring problems is alm…
YubiClicker: AI-Powered Tool for Enhanced Productivity
YubiClicker: AI Powered Tool for Enhanced Productivity In the fast paced world of modern work, productivity tools have become indispensable. Among the latest in…
Garritfra: Revolutionizing AI Tools on GitHub
Garritfra: Revolutionizing AI Tools on GitHub Garritfra is emerging as a key player in the AI technology market, offering a suite of advanced tools accessible v…
A Terminal Spreadsheet Editor with Vim Keybindings
A Terminal Spreadsheet Editor with Vim Keybindings In the world of data manipulation and spreadsheet management, the integration of powerful text editing capabi…
Dirac Run: Revolutionizing AI on GitHub
Dirac Run: Revolutionizing AI on GitHub In the rapidly evolving world of artificial intelligence, innovative tools like Dirac Run are making waves. Dirac Run is…
OSS Agent Leads TerminalBench on Gemini-3-Flash-Preview
OSS Agent Leads TerminalBench: Enhancing Network Management with Gemini 3 Flash Preview In the rapidly evolving world of network management, maximizing efficien…
Building a SQL Analyst Agent from Scratch: A Comprehensive Guide
Building a SQL Analyst Agent from Scratch: A Comprehensive Guide In the data driven world, SQL analysts play a crucial role in extracting meaningful insights fr…
AI Tool: Raminmousavi.dev Revolutionizes Web Development
Revolutionizing Web Development with Raminmousavi.dev Web development has seen significant advancements over the years, but Raminmousavi.dev is taking it to new…
AI-Powered Forkle.co.uk: Revolutionizing Data Analysis
AI Powered Forkle.co.uk: Revolutionizing Data Analysis Introduction In the rapidly evolving world of data analytics, AI Powered Forkle.co.uk stands out as a pio…
AI Agents: Identity, Not Memory, Was the Key to Stability
Everyone's building memory layers right now. Longer context, better embeddings, persistent state across sessions. I spent weeks on the same thing. But the failure mode that actually cost me the most debugging time had nothing to do with memory. Here's what it looked like: an agent would be technically correct - good reasoning, clean output - but operating from the wrong context entirely. Answering questions nobody asked. Taking actions outside its scope. Not hallucinating. Drifting. Like a competent person who walked into the wrong meeting and started contributing without realizing they're in the wrong room. I run 11 persistent agents locally. Each one is a domain specialist - its entire life is one thing. The mail agent's every session, every test, every bug fix is about routing messages. The standards auditor's whole existence is quality checks. They're not generic workers configured for a task. They've each accumulated dozens of sessions of operational history in their domain, and that history is what makes them good at their job. When they started drifting, my first instinct was what everyone's instinct is: better memory. More context. None of it helped. An agent with perfect recall of its last 50 sessions would still lose track of who it was in session 51. What actually fixed it I separated identity from memory entirely. Three files per agent: passport.json - who you are. Role, purpose, principles. Rarely changes. This is the anchor. local.json - what happened. Rolling session history, key learnings. Capped and trimmed when it fills up. observations.json - what you've noticed about the humans and agents you work with. Concrete stuff like "the git agent needs 2 retries on large diffs" or "quality audits overcorrect on technical claims." The agent writes these itself based on what actually happens. Identity loads first, then memory, then observations. That ordering matters. When the identity file loads first, the agent has a stable reference point before any history lands. The mail routing agent learned the sharpest version of this. When identity was ambiguous, it would route messages from the wrong sender. The fix wasn't better routing logic - it was: fail loud when identity is unclear. Wrong identity is worse than silence. The files alone weren't enough Three JSON files helped, but didn't scale past a few agents. What actually made 11 work is that none of them need to understand the full system. Hooks inject context automatically every session - project rules, branch instructions, current plan. One command reaches any agent. Memory auto-archives when it fills up. Plans keep work focused so agents don't carry their entire history in context. The system learned from failing. The agents communicate through a local email system - they send each other tasks, status updates, bug reports. One agent monitors all logs for errors. When it spots something, it emails the agent who owns that domain and wakes them up to investigate. The agents fix each other. The memory agent iterated three sessions to fix a single rollover boundary condition - each time it shipped, observed a new edge case, and improved. These aren't cold modules. They break, they help each other fix it, they get better. That's how the system got to where it is. You don't need 11 agents The 11 agents in my setup maintain the framework itself. That's the reference implementation. But u could start with one agent on a side project - just identity and memory, pick up where u left off tomorrow. Need a team? Add a backend agent, a frontend agent, a design researcher. Three agents, same pattern, same commands. Or scale to 30 for a bigger system. Each new agent is one command and the same structure. What this doesn't solve This all runs locally on one machine. I don't know whether identity drift looks the same in hosted environments. If u run stateless agents behind an API, the problem might not exist for you. Small project, small community, growing. The pattern itself is small enough to steal - three JSON files and a convention. But the system that keeps agents coherent at scale is where the real work went. pip install aipass and two commands to get a working agent. The .trinity/ directory is the identity layer. Has anyone else tried separating identity from memory in their agent setups? Curious whether the ordering matters in other architectures, or if it's just an artifact of how this system evolved.
AI's Productivity Boost: Layoffs or Worker Benefits?
I keep hearing that AI will make workers more productive. But the part I don’t understand is this: If one employee can now do the work of three people, why is the default outcome usually: * fire two people * keep the same workload * give the remaining person more pressure * send the savings upward Why isn’t the obvious outcome: * shorter work weeks * higher wages * lower prices * more time off * better services It feels like AI is being sold to the public as “everyone will be more productive,” but implemented by companies as “we need fewer humans.” Maybe I’m missing something, but productivity gains only feel like progress if normal people share in them. Otherwise it’s not really “*AI helping workers*.” It’s just automation being used as a layoff machine. **Do you think AI will actually improve life for workers, or will it mostly just increase profits while making jobs more insecure?**
Comparing AI Models: Surprising Differences in Responses
I’ve been experimenting with different AI models lately (ChatGPT, Claude, etc.), and I tried something simple: Using the exact same prompt across multiple models and comparing the results. What surprised me most wasn’t that they were different — it’s *how* different they were depending on the task. For example: * Some models are much better at structured writing * Others explain concepts more clearly * Some give more “creative” responses, but less accuracy It made me realize there isn’t really a “best” AI — it depends heavily on what you're trying to do. One thing I did notice though is that manually comparing them is kind of a pain (copying prompts, switching tabs, etc.). Curious how others approach this: Do you stick to one model, or actually test multiple before deciding? And if you do compare — what’s your process like?
Unraveling ChatGPT's Mysterious Link to HeernProperties
i'm trying to find a video online and couldn't so i asked ChatGPT by describing the video and i was given a link and i'm trying to make sense of the website :https://heernproperties.com/mxbsqy/david-and-kate-bagby-2020 the webpage redirect to other link that are similar that don't make sense either , the website main page seem to be a regular website : https://heernproperties.com/ (very slow website) Any idea what could be happening ?
Master System Design with AI Tool: donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Deepseek API Middleware: Streamline Client Protocols
Deepseek to API: A lightweight, high-performance full-stack middleware converting client protocols to universal APIs. Supports multi-account rotation, compiled binaries, Vercel Serverless, and Docker. Compatible with Google, Claude, and OpenAI API formats.
DeepSeek-V3: Advanced AI Tool Trends on GitHub
DeepSeek V3: Advanced AI Tool Trends on GitHub DeepSeek V3 is a cutting edge AI tool available on GitHub, designed to push the boundaries of artificial intellig…
Claude Code Templates: CLI Tool for Configuration and Monitoring
CLI tool for configuring and monitoring Claude Code
Chandra OCR 2: Advanced AI Optical Character Recognition
Chandra OCR 2: Advanced AI Optical Character Recognition In the rapidly evolving digital landscape, Optical Character Recognition (OCR) technology has become in…
Lightricks LTX-2.3-22b-IC-LoRA-HDR AI Tool on Hugging Face
Unveiling the Power of Lightricks LTX 2.3 22b IC LoRA HDR AI Tool on Hugging Face In the rapidly evolving landscape of digital content creation, innovative tool…
YTan2000/Qwen3.6-27B-TQ3_4S: New AI Tool on Hugging Face
Discover YTan2000/Qwen3.6 27B TQ3 4S: Revolutionizing AI on Hugging Face Introduction to YTan2000/Qwen3.6 27B TQ3 4S The field of artificial intelligence contin…
Sapiens2: Facebook's New AI Tool on Hugging Face
Introducing Sapiens2: Facebook's New AI Tool on Hugging Face Facebook’s latest innovation, Sapiens2, has recently made its debut on Hugging Face. This advanced …
OpenAI Privacy Filter: Enhancing Data Security with AI
Enhancing Data Security with AI: OpenAI's Privacy Filter In an era where data breaches and privacy concerns are rampant, OpenAI's Privacy Filter emerges as a cu…
AI-Driven Insights: PowerMode AI for Business Optimization
Optimize business operations with AI-driven insights and automation.
Magic Studio: AI Image Editor and Creator
Unleash AI to edit, upscale, and create images effortlessly.
Jetwriter AI: AI-Driven Writing Enhancements
Enhances any and all writing with AI-driven suggestions.
Midjourney Prompt Helper: AI Artistry for Designers
Unleash AI artistry with intuitive prompt crafting and optimization.
Dream Interpreter: AI-Driven Personalized Dream Analysis
AI-driven tool offering personalized, insightful dream interpretations.
Browse AI: No-Code Web Data Extraction and Monitoring
Effortlessly extract and monitor web data without coding, boosting productivity and insights.
Andi: AI-Powered Search Engine for Direct Answers
Andi is a generative AI-powered search engine that provides direct answers instead of just links.
GPTGO: Customizable AI for Content-to-Code Generation
Unleash AI's power: intuitive, customizable, content-to-code generation.