Report: OpenAI Wants to Combine ChatGPT, Codex, and Atlas Browser into One ‘Superapp’
OpenAI is reportedly working on a new desktop “superapp” that will combine ChatGPT, its Codex coding platform, and Atlas web browser.
OpenAI is reportedly working on a new desktop “superapp” that will combine ChatGPT, its Codex coding platform, and Atlas web browser.
Astral creates Python development tools such as uv, a package and project manager, and Ruff, a linter and formatter.
Codex is OpenAI’s cloud-based software engineering agent that can work on multiple tasks at the same time, such as answering ...
Which AI Coding Assistant is best for Windows Developers? Claude Code or OpenAI Codex? If you are a programmer, go through ...
OpenAI is consolidating its ChatGPT, Codex, and Atlas tools into a single desktop superapp, signaling a strategic shift from ...
OpenAI has a Mac "superapp" in development that unifies its ChatGPT app, Codex coding platform, and Atlas browser, reports The Wall Street Journal ($). The idea behind the all-in-one app is to simplify the user experience, following the launch of several standalone products, some of which haven't resonated with OpenAI's customers. The company is also trying to bounce back after the recent successes of its main rival, Anthropic.
OpenAI is working on a new 'super app' that combines all of its resources into a single app, streamlining the user experience ...
OpenAI is working on a superapp that can handle all your creative tasks.
OpenAI plans a super app combining ChatGPT, a browser, and Codex with AI agents, aiming to streamline workflows and boost productivity in one platform.
Hey HN,We've noticed a gap for small teams: getting a prototype working locally or on Vercel and Supabase is easy, but graduating to a full fledged deployment on a cloud provider is a nightmare.If you don't have a dedicated DevOps engineer, you're usually stuck clicking around hoping that some combination of checkboxes will do the trick .We're building Grafos V2 to act as your application's production agent.• You provide your application, optionally tell it what you need
Hi HN, I built EvidionAI — an autonomous research pipeline where a Supervisor orchestrates a loop of specialized agents to answer scientific questions end-to-end.The workflow: Supervisor → Search (DDG + arXiv + Wikipedia) → Code (Python in sandboxed Docker) → Analysis → Skeptic → back to Supervisor if the conclusions don't hold up.The focus is not just on execution, but on validation — the system actively tries to break its own conclusions via a skeptic loop.Stack: LangGraph, LangChain,
eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...
Hi,I have recently been applying for summer internships and got frustrated when tailoring my resumes in Word. I started learning Python last autumn, but had absolutely zero experience with web development or deploying something to the front/backend. I wanted to experiment with the new coding agents to build a resume editor that would make my application process less painful.Here it is: www.tailortojob.appHow I built it: A friend helped me set up the initial infrastructure because I struggle
I’ve recently started coding again after a long time, and this is one of the first tools I’m building. It’s an AI-assisted markdown editor designed to live inside VS Code and reduce the friction of writing and editing documentation.Why? I wanted a markdown editor which did breaks and simple bullets in markdown tablesVisual Studio Marketplace: https://marketplace.visualstudio.com/items?itemName=kamransethi.gpt-ai-markdown-editorGitHub: https://github.com/kamransethi&
# I'm 11 years old and I trained my own LLM from scratch. 50 people downloaded it in 24 hours.Hey r/LocalLLaMA,I'm Arthur, I'm 11 years old, and I just released *Wind Arc 1.6* — a custom architecture LLM I built and trained myself.## What it isWind Arc 1.6 is a 3.6B parameter model with a custom architecture I designed:- *Mixture of Experts FFN* — 4 routed experts + 1 shared expert per layer (replaces standard MLP) - *YaRN RoPE* — extends context from 8k → 32k tokens - *Hybri
Assuming your software meets some of these:* Better than potential successors of SOTA transformers: Mamba, Hyenna, RWKV, xLSTM; * Gemini/claude estimate potential ip values in the millions; * All implemented in C (ok this may be a minus) but also ported to C# and F# - so no python nor rust; * humble code size: 10-15k lines of code but i mean come on gpt-1 was under 1000 lines...in python.In short:the problem: transformers are slow and could be smarter; solution: you have fast and smart al
The popular AI image generating service Midjourney has deployed one of its most oft-requested features: the ability to recreate characters consistently across new images. This has been a major hurdle ...
Midjourney 8 adds in-image text, HD mode, and personalization profiles, but long captions still render with occasional errors ...
I built an Obsidian plugin for my wife (academic researcher). It embeds Claude Code as a sidebar chat using the Agent SDK, and ships with 7 slash-command skills: - /peer-review — 8-criteria manuscript evaluation with radar chart - /cite-verify — checks references against CrossRef, Semantic Scholar, OpenAlex
I’ve been working in ML software for 4 years, and I quickly ran into a recurring problem: I kept asking myself, "Why did I write this function this way?" or "Why is this block here?"I tried to organize my thoughts with Obsidian and other note-taking apps, but let’s be honest, documenting for yourself feels like a chore. Documentation always feels like it's meant for "someone else."So, I decided to build a VS Code extension to save my reasoning and contextual me