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New Chat vs Project in ChatGPT: Understanding the Shift from Conversations to Systems

As artificial intelligence tools continue to evolve, ChatGPT is no longer just a conversational assistant—it is becoming a structured workspace for productivity. One of the most important distinctions users must understand is the difference between starting a new chat and creating a project. While both serve valuable purposes, they cater to fundamentally different workflows. Understanding…

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IBM Project Bob vs VS Code AI vs ChatGPT & Gemini: The Future of AI in Coding

Artificial Intelligence is rapidly transforming how developers write software. From simple autocomplete tools to intelligent coding assistants, the landscape is evolving fast. Tools like ChatGPT and Gemini have already become popular among developers for generating code and solving programming problems. Meanwhile, Visual Studio Code, enhanced with GitHub Copilot, brings AI directly into the coding environment.…

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🔍 From Google Search to Google Maps: Understanding Search Algorithms in Computer Science (CS50 AI Perspective)

Search is one of the most fundamental ideas in computer science. Whether you’re typing a query into a search engine, navigating through a game, or finding the fastest route between cities, you’re relying on some form of search algorithm. In courses like CS50’s Introduction to Artificial Intelligence with Python, search is introduced as a core…

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From Data Wrangling to Predictive Power: Building a Real Estate Price Prediction Model (Mumbai Edition)

The journey from descriptive analytics (what happened) to predictive analytics (what will happen) is one of the most exciting transitions in data science. If you’ve already explored real estate data—cleaning it, visualizing trends, and understanding pricing patterns—you’re now ready to build something far more powerful: 👉 A machine learning model that predicts apartment prices in…

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Solving Problems by Searching in AI

When building intelligent systems, one of the most powerful ideas is this: 👉 What if an agent could think ahead instead of reacting instantly? That’s exactly what search-based problem solving in Artificial Intelligence is all about. What Does “Solving Problems by Searching” Mean? In many situations, the correct action isn’t immediately obvious. Instead of guessing,…

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How Do We Measure the Efficiency of AI Tools Like ChatGPT?

Artificial Intelligence tools such as ChatGPT, image generators, and recommendation systems are now used by millions of people every day. While these tools are extremely powerful, many people wonder about an important question: How efficient are AI systems, and how do we measure their resource consumption and environmental impact? In traditional programming, developers measure the…

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Artificial Intelligence Insights (via r/artificial)

  • Rate My README.md
    by /u/Input-X
    Working on my README.md to make it more accessiable and understood without make it to long. still working through it. project is still under development also. getting closer every day. feedback is much appreciated, Its my first public repo. https://github.com/AIOSAI/AIPass/blob/main/README.md submitted by /u/Input-X [link] [comments]
  • I resurrected LavaPS – a Linux process monitor from 2004 that died when GNOME2 did. Running on a robot car.
    by /u/yayster
    LavaPS displays every running process as a bubble in a lava lamp — bigger = more memory, faster rising = more CPU. Written by John Heidemann in 2004. Died around 2012 when libgnomecanvas was deprecated. We ported it to GTK3 + Cairo. The blob physics, process scanning, and color logic were solid — just the […]
  • Should you fear AI?
    by /u/ad-tech
    I think yes. Absolutely. But fear isn't always a bad thing. Think of it like crossing a busy road. Fear is what makes you stop, look, and then move. It keeps you sharp. It keeps you awake. The people who should really worry? The ones who feel nothing. No curiosity. No push to learn. They'll […]
  • We're running an online 4-week hackathon series with $4,000 in prizes, open to all skill levels!
    by /u/IAmDreTheKid
    Most hackathons reward presentations. Polished slides, rehearsed demos, buzzword-heavy pitches. We're not doing that. The Locus Paygentic Hackathon Series is 4 weeks, 4 tracks, and $4,000 in total prizes. Each week starts fresh on Friday and closes the following Thursday, then the next track kicks off the day after. One week to build something that […]
  • You can now give an AI agent its own email, phone number, wallet, computer, and voice. This is what the stack looks like
    by /u/Shot_Fudge_6195
    I’ve been tracking the companies building primitives specifically for agents rather than humans. The pattern is becoming obvious: every capability a human employee takes for granted is getting rebuilt as an API. Here are some of the companies building for AI agents: AgentMail — agents can have email accounts AgentPhone — agents can have phone […]
  • After the release of gemma 4
    by /u/Internal-Raccoon-522
    would you guys get a local AI on your phone? and if you do, what will you do with it? submitted by /u/Internal-Raccoon-522 [link] [comments]
  • I have been coding for 11 years and I caught myself completely unable to debug a problem without AI assistance last month. That scared me more than anything I have seen in this industry.
    by /u/Ambitious-Garbage-73
    I want to be honest about something that happened to me because I think it is more common than people admit. Last month I hit a bug in a service I wrote myself two years ago. Network timeout issue, intermittent, only in prod. The kind of thing I used to be able to sit with […]
  • AI agents have been blindly guessing your UI this whole time. Here's the file that fixes it.
    by /u/Direct-Attention8597
    Every time you ask an AI coding agent to build UI, it invents everything from scratch. Colors. Fonts. Spacing. Button styles. All of it – made up on the spot, based on nothing. You'd never hand a designer a blank brief and say "just figure out the vibe." But that's exactly what we've been doing […]
  • Most people are using AI wrong—and it’s capping what they can do
    by /u/Snoo-76697
    1 is a fluke. 2 is a coincidence. 3 is a pattern. Lately I’ve been noticing something. The problems I’m solving are getting more complex… while the time it takes to solve them is getting shorter. At first I thought I just got lucky. Then it happened again. Now it’s consistent. Here’s what changed: Most […]
  • Most people are using AI wrong—and it’s capping what they can do
    by /u/Snoo-76697
    1 is a fluke. 2 is a coincidence. 3 is a pattern. Lately I’ve been noticing something. The problems I’m solving are getting more complex… while the time it takes to solve them is getting shorter. At first I thought I just got lucky. Then it happened again. Now it’s consistent. Here’s what changed: Most […]

Highly Recommended

CS50’s Introduction to Computer Science
CS50’s Introduction to Artificial Intelligence with Python