OpenAI

Rakuten’s Secret Sauce: How Codex Turned “Oops” Into “Done” in Half the Time When I first heard that a Japanese e‑commerce giant was letting an AI write code for them, I imagined a scene straight out of a sci‑fi office comedy: engineers sipping matcha while a glowing bot spits out perfect functions, and everyone nods like it’s just another Tuesday. Spoiler alert – it’s not that clean. But the reality is still pretty impressive. Rakuten, the sprawling “everything‑store” that powers a huge slice of online shopping, fintech, and mobile services, has been quietly weaving OpenAI’s Codex into its day‑to‑day engineering workflow. The result? A 50 % drop in mean‑time‑to‑recovery (MTTR) for incidents, quarter‑long projects shrinking to weeks, and a new kind of developer role that feels more like “spec‑writer” than “debugger.” ...

How Descript Turned Multilingual Dubbing from a Nightmare into a Scalable Feature When I first tried to dub a short tutorial video from English into German, I ended up with a soundtrack that sounded like a chipmunk on a treadmill. The words were technically correct, but the pacing was off‑kilter enough to make me wonder whether the speaker had been replaced by a hyper‑active hamster. I’m not alone. For years, creators and enterprises have complained that AI‑generated dubbing either talks too fast (making the voice sound squeaky) or drags (giving the impression of a sleepy giant). The root of the problem isn’t the text‑to‑speech engine; it’s the translation step that sits in front of it. ...

OpenAI for India: What the Deal Really Means for the Country’s AI Future When I walked into the India AI Impact Summit in Delhi last week, the first thing I noticed wasn’t the glossy stage or the sea of neon‑lit logos. It was the hum of conversations—students swapping ChatGPT shortcuts, startup founders debating whether to hand over code to a language model, and senior Tata executives quietly checking the power draw on their tablets. ...

GPT‑5.3‑Codex: The Coding Agent That’s Starting to Feel Like a Real Coworker When I first tried the original Codex a few years ago, it felt a bit like handing a junior intern a half‑finished script and hoping they’d “figure it out.” It could churn out snippets, but it needed a lot of hand‑holding, and the results were often… well, let’s just say “creative.” Fast‑forward to today, and OpenAI has dropped GPT‑5.3‑Codex – a model that not only writes code but steers a whole computer session, reacts to your prompts in real time, and even helped debug itself during training. In plain English: it’s the first coding agent that can act like a teammate who knows the whole project, not just the line you’re stuck on. ...

Well, it finally happened. After months of speculation, denials, and what can only be described as corporate tap-dancing around the subject, OpenAI has confirmed what many suspected was inevitable: advertisements are coming to ChatGPT. The announcement, made on January 16, 2026, also brought some good news — a new budget-friendly subscription tier called ChatGPT Go is now available worldwide for just $8 per month. Let’s unpack what this means for the 800 million people who use ChatGPT every week, and why this might be the most significant pivot in OpenAI’s relatively short but incredibly eventful history. ...

ChatGPT Go Is Finally Everywhere – What It Means for Everyday Users (and the Rest of Us) When OpenAI announced ChatGPT Go back in August 2025, the headline felt almost like a promise whispered in a crowded market: “AI for the masses, at a price that won’t make your wallet cry.” The rollout began in India—a smart move, given the country’s huge, price‑sensitive user base—and within a few months the plan had leapt onto 170 more country lists, becoming OpenAI’s fastest‑growing subscription tier. ...

Nous Research’s NousCoder-14B is an open-source coding model landing right in the Claude Code moment Nous Research, backed by crypto‑venture firm Paradigm, unveiled the open‑source coding model NousCoder‑14B, which was trained in just four days on 48 Nvidia B200 GPUs and reaches a 67.87 % accuracy on the LiveCodeBench v6 benchmark—about 7 percentage points higher than its base model, Alibaba’s Qwen3‑14B. The release includes not only the model weights but also the full Atropos reinforcement‑learning environment, benchmark suite and training harness, allowing anyone with sufficient compute to reproduce or extend the work. Training leverages “verifiable rewards” (binary pass/fail on executed code), dynamic‑sampling policies, and progressive context‑window expansion up to roughly 80 k tokens, while pipelining inference and verification to maximize GPU utilization. Researchers note that the 24 000 competitive‑programming problems used for training exhaust most high‑quality public data in the domain, prompting calls for synthetic problem generation and self‑play to overcome future data scarcity. With $65 million in funding, Nous Research positions its open‑source approach as a direct competitor to proprietary tools like Anthropic’s Claude Code, emphasizing transparency, reproducibility, and the next‑generation research directions of multi‑turn RL and autonomous problem creation. ...

OpenAI has officially unveiled ChatGPT Health, a specialized experience within ChatGPT designed specifically for health and wellness conversations. This new feature brings together your personal health information and ChatGPT’s intelligence in a secure environment, aiming to help users feel more informed, prepared, and confident when navigating their health journey. The announcement comes at a time when health-related queries have become one of the most popular use cases for ChatGPT. According to OpenAI, over 230 million people globally ask health and wellness questions on ChatGPT every week. With ChatGPT Health, the company is taking this organic user behavior and building a dedicated, privacy-focused space around it. ...

When you casually exit a $5.8 billion Nvidia position to fund your next bet, you’re either catastrophically wrong or playing a different game than everyone else. SoftBank chose the latter this week, dumping those chips into a $40 billion stake in OpenAI. That’s not a typo. Forty. Billion. Dollars. For context, that’s roughly what Disney paid for Fox’s entertainment assets, or what Microsoft spent acquiring Activision Blizzard after a year-long regulatory cage match. Except SoftBank just did it for a slice—about 10%—of a company that makes chatbots. Well, chatbots that happen to be reshaping how we work, write, and think about intelligence itself. ...

OpenAI just posted what might be the strangest job listing in tech: they’re looking for 15 people to join their Grove program, and the main qualification is not having your life figured out yet. No startup idea required. No previous company necessary. Not even a concrete plan. In fact, if you show up with a fully-baked business model, you might be overthinking it. This is OpenAI’s second run of Grove, a five-week program that sits in an awkward space most accelerators avoid—the murky territory before you even know what problem you want to solve. Y Combinator wants traction. TechStars wants a product. Grove wants curiosity and a willingness to show up in San Francisco with a notebook. ...

Key Highlights The Big Picture: OpenAI just shipped a rapid‑response security update that hardens ChatGPT Atlas’s browser agent against prompt‑injection attacks. Technical Edge: An automated red‑teamer, trained with reinforcement learning, now discovers and patches novel injection strategies before they hit the wild. The Bottom Line: Your Atlas‑powered workflows become safer, letting you trust the agent to act like a security‑savvy colleague. 🚀 Introduction: Prompt injection has emerged as a top‑risk vector for AI agents that operate inside browsers. OpenAI’s latest update to ChatGPT Atlas tackles this threat head‑on by coupling automated RL red‑teamers with adversarial model training. In this post we break down how the new defenses work and why they matter for anyone who lets an AI handle emails, purchases, or other sensitive tasks. ...

Key Highlights The Big Picture: OpenAI’s Model Spec now embeds U18 Principles to make ChatGPT safer for teens aged 13‑17. Technical Edge: An age‑prediction model will auto‑apply teen safeguards, while parental controls expand to new products. The Bottom Line: Families gain stronger guardrails and clear resources, turning AI use into a healthier, supervised experience. Teen safety has moved to the forefront of AI design, and OpenAI’s latest Model Spec update reflects that shift. By weaving developmental science into the core rules, the company aims to protect younger users while still delivering useful assistance. 🚀 ...