タグ: GPT-5

Getting back to school is challenging every year – juggling new schedules, staying organized with assignments, figuring out which tools will actually help you succeed. While your professors are still debating whether AI should be allowed in classrooms, the reality is that millions of students are already using AI tools like ChatGPT and Gemini to tackle everything from writing research papers to studying calculus. If you are picking a wider toolkit than these two, start with our guide to the AI tools students actually use. Both ChatGPT and Gemini have their strengths, but they handle various tasks differently. One might excel at helping you brainstorm essay ideas while slacking on […]

AI benchmarks are usually abstract. They test math puzzles, programming problems, or reading comprehension tasks most people never encounter in real life. But the newest yardstick for long-term AI performance is surprisingly ordinary: running a vending machine. The benchmark, called Vending-Bench, was created by Andon Labs to test whether AI agents can handle one of their hardest unsolved problems — staying coherent and effective over long stretches of time. Each agent is tasked with operating a simulated vending machine business: tracking inventory, placing orders, setting prices, collecting revenue, and paying daily fees. On paper, these are trivial management chores. In practice, they push models to their limits when extended across 20 million […]

2025 has been an amazing year for AI, with new models landing almost every month—and it’s not slowing down yet. The biggest labs all have something in the pipeline: Google’s DeepMind, OpenAI, Anthropic, xAI, and DeepSeek are lining up their next releases. Most will be more about steady progress than big breakthroughs, but they’re still key steps in the race toward more general AI. Google is gearing up for Gemini 3.0, Anthropic keeps rolling out Claude upgrades, xAI has Grok 5 on the way, and DeepSeek is trying to get V4 and R2 out despite chip problems in China. OpenAI, after the backlash around GPT-5, is already working on GPT-5.5 […]

People are really confused about how smart GPT-5 actually is. Social media posts show IQ scores anywhere from 57 to 148 – that’s a huge 91-point difference that has users wondering what’s really going on. Some people are excited about GPT-5 Pro and call it a major step up. Others are writing off the whole thing after seeing terrible test results. This makes sense when you think about it – we’re talking about the difference between below average IQ and near-genius levels. New testing shows that different versions of GPT-5 perform very differently from each other. The regular version scores between 94-120 IQ depending on which test you use. GPT-5 […]

Most people are disappointed with GPT-5 because they prompt it like GPT-4. It feels random, overconfident, or stuck in rabbit holes—and then gets blamed. The model changed; the prompting didn’t. GPT-5 acts like an agent. It plans, calls tools, carries state, and will press ahead unless you define the finish line. Big context and built-in browsing won’t save you if you don’t steer it. Without structure, you’ll see shallow guesses one moment and overwork the next. You don’t need a heavy playbook. A tiny bit of structure works: three dials that set research depth, autonomy, and how it reports progress. Turn them and you get steadier outputs, faster turnarounds, and […]

Unlike GPT-4o, GPT-5 was trained to be a worker, not a chatterbox. It plans, calls tools, follows rules, and carries state across long tasks. If you keep throwing casual prompts at it, you’ll leave a lot of performance on the table. The model responds best when you give it structure, constraints, and a clear finish line. Treat it like a teammate with a mission and operating rules, not a magic box. Below is the playbook: one framework, three core tags, a compact starter template, and a couple of inline examples that show the pieces working together. This guide pulls together the strongest patterns we’ve seen—how to control research depth, dial up […]

When OpenAI released GPT-5 on August 7th, everybody was on their toes and expectations were high. The AI community had been waiting years for this flagship model that was promised to be a revolutionary step in artificial intelligence. Instead of celebration, however, the first days of GPT-5 being available started heated discussions on social media focused on one question: why does GPT-5 seem so terrible? Users quickly began reporting that GPT-5 felt like a downgrade from GPT-4o, with many experiencing overall disappointing performance. The complaints became so widespread that a controversial theory emerged: OpenAI might be running a cheaper, inferior version of GPT-5 inside the ChatGPT interface while reserving the […]

The 4 biggest players in the AI space have all released their latest flagship models, marking what might be the most competitive moment in artificial intelligence history yet. Google DeepMind launched Gemini 2.5 Pro in late March 2025, followed by xAI‘s Grok 4 in early July, while Anthropic unveiled Claude Opus 4.1 just days before OpenAI finally delivered the highly anticipated GPT-5 in early August 2025. Each company promises revolutionary capabilities that will transform how we work and create. But do these models actually live up to the marketing hype, or are we looking at incremental improvements dressed up as breakthroughs? Each company claims their model is the smartest and […]

OpenAI’s launch of GPT-5 changed how ChatGPT works. Instead of choosing between models like GPT-4o, GPT-4.5 or o3, you now get one unified GPT-5 system. It responds quickly to simple prompts, but can automatically switch into a slower, more thoughtful mode called GPT-5 Thinking for complex questions. If you’re on a paid plan, you can also turn this mode on manually. And on Pro (and Team) plans, you also get GPT-5 Pro, which uses more compute for the hardest problems. Behind the scenes, ChatGPT is now smarter about how it handles your requests. Most of the time, it gives fast replies using a lightweight model. But when the task is harder—like writing code or […]

When OpenAI released GPT-4o in 2024, it was widely praised for its creativity, speed, and emotional warmth. For many, it felt like a breakthrough in AI interaction—lively, expressive, and deeply human-like. Then, almost overnight, GPT-4o vanished from the ChatGPT interface, replaced by GPT-5, which—despite major upgrades—has left a significant part of the user base feeling cold, alienated, and frustrated. This article covers why this shift has upset so many users, what GPT-5 does differently, and most importantly, how to keep using GPT-4o today—even if OpenAI no longer features it in ChatGPT. Why People Are Upset About GPT-5 Users feel misledOpenAI had previously implied GPT-4o would stick around. But it disappeared […]