AI

You know that feeling when you’re deep in a coding session, and your brain is juggling seventeen different things at once? You’re trying to fix a bug, but you also need to review some code, run tests, and maybe figure out why that one API endpoint is acting weird. It’s like being a one-person orchestra where everyone’s playing a different song. Well, Claude Code just handed us a solution that feels almost too obvious in hindsight: subagents. Think of them as specialized mini-Claudes that you can spin up for specific tasks, each with its own expertise and memory space. It’s like having a team of expert consultants you can call in whenever you need them, without them stepping on each other’s toes. ...

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. ...

When Anthropic first let us play with Claude Code, most of us imagined a “pair‑programmer” that could finish a function or debug a stack trace. That’s exactly what happened—developers fed it snippets, watched it autocomplete, and generally gave it a lot of love. But a few weeks later the same folks started asking Claude to rename their photo files, summarize meeting notes, and even draft a budget spreadsheet. In short, they were treating Claude like a very clever intern who could rummage through their desktop and hand back tidy results. ...

Building an AI software development team with Claude Code agents Claude Code’s multi-agent architecture represents a fundamental shift from AI-assisted coding to AI-driven development, where specialized subagents work in parallel like a virtual engineering team. Since its February 2025 launch and September 2025 2.0 release, Claude Code has evolved from a terminal tool into a sophisticated orchestration platform that now generates over $500M in annualized revenue. For developers looking to build artificial software teams, understanding Claude Code’s agent/subagent system—and how it differs from competitors like GitHub Copilot and Cursor—is essential to leveraging this paradigm effectively. ...

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. ...

Key Highlights The Big Picture: Veo 3.1 now turns simple image “ingredients” into high‑fidelity, vertical videos that feel alive. Technical Edge: Native 9:16 output and AI‑driven upscaling to 1080p / 4K give creators broadcast‑ready quality on a phone. The Bottom Line: Whether you’re posting Shorts or polishing a brand reel, the new tools let you produce polished video without a studio. Ever tried to animate a single picture and ended up with a wobbling GIF? With Veo 3.1 Ingredients to Video, that friction disappears. The update brings consistency, creativity, and control straight to the mobile format, letting anyone—from casual storytellers to professional editors—craft shareable clips in seconds. ...

When Jensen Huang took the stage at the J.P. Morgan Healthcare Conference this week, I expected a typical tech‑heavy keynote about GPUs and cloud. Instead, he and Eli Lilly’s chair‑and‑CEO Dave Ricks spent a cozy fireside chat sketching a “blueprint for what’s possible” in drug discovery. Their announcement? A $1 billion, five‑year AI co‑innovation lab in the San Francisco Bay Area that promises to marry the raw compute muscle of NVIDIA’s DGX SuperPODs with Lilly’s century‑old drug‑making know‑how. ...

If you’ve ever tried to “read the mind” of a GPT‑4‑powered assistant, you know the feeling: you stare at a few lines of orchestration code and wonder why the thing just suggested buying a pineapple pizza for a corporate finance report. The answer isn’t in the handle_submit() you wrote; it’s in a sequence of invisible decisions that only a trace can reveal. That’s the premise of a recent TL;DR note I skimmed on a commuter train, and it got me thinking about how the whole discipline of software engineering is quietly being rewired. In the old world, the codebase was the bible. In the new world of AI agents, the trace—the step‑by‑step log of what the model actually did—has taken that role. ...

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. ...

Happy New Year, everyone! If you thought 2025 was wild for artificial intelligence, the first week of 2026 just looked at the calendar and said, “Hold my beer.” We are only seven days into the year, and we’ve already seen enough major announcements to fill a whole quarter. CES 2026 in Las Vegas has been an absolute whirlwind, and combined with some massive regulatory shifts and research breakthroughs, it’s clear that this year isn’t going to be about incremental updates. We’re talking fundamental shifts in how AI is built, deployed, and governed. ...

In Latin America, healthcare often begins with a simple WhatsApp message. Patients text their doctors expecting quick responses, much like they would from a food delivery service. But for physicians juggling dozens of patients daily, this communication model has become unsustainable. Enter Leona Health, a startup that just secured $14 million in seed funding to solve this growing crisis with an AI-powered solution built directly into the messaging platform doctors already use. ...