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GPT-5 prompting guide

GPT-5, our newest flagship model, represents a substantial leap forward in agentic task performance, coding, raw intelligence, and steerability.

While we trust it will perform excellently “out of the box” across a wide range of domains, in this guide we’ll cover prompting tips to maximize the quality of model outputs, derived from our experience training and applying the model to real-world tasks. We discuss concepts like improving agentic task performance, ensuring instruction adherence, making use of newly API features, and optimizing coding for frontend and software engineering tasks — with key insights into AI code editor Cursor’s prompt tuning work with GPT-5.

We’ve seen significant gains from applying these best practices and adopting our canonical tools whenever possible, and we hope that this guide, along with the prompt optimizer tool we’ve built, will serve as a launchpad for your use of GPT-5. But, as always, remember that prompting is not a one-size-fits-all exercise — we encourage you to run experiments and iterate on the foundation offered here to find the best solution for your problem.

Tesla Masterplan Part 4: Coming Soon

Questions to inspire discussion.

🇦🇺 Q: How was Tesla’s FSD supervised launch received in Australia? A: Tesla’s FSD supervised launch in Australia received fair coverage from mainstream media, including a 4.5-minute segment on national news, without Tesla paying for advertising.

🚘 Q: What are the key features of Tesla’s FSD supervised system? A: Tesla’s FSD supervised system uses cameras and advanced software to autonomously accelerate, brake, and steer, but requires the driver to be responsible and ready to take control at any time.

FSD Safety Concerns.

⚠️ Q: What safety issues have been reported with Tesla’s FSD supervised system? A: Tesla’s FSD supervised system has been involved in multiple accidents overseas, but in most cases, the driver was distracted and tried to blame the car, highlighting the need for drivers to take full responsibility.

🇺🇸 Q: What legal challenges has Tesla faced with FSD in the US and Canada? A: Tesla’s FSD supervised system has been slapped with lawsuits in the US and Canada due to multiple crashes, with Tesla stating that in most cases, the driver was distracted and not using the system properly.

Continue reading “Tesla Masterplan Part 4: Coming Soon” | >

Revolutionary Model Reveals How Real Universe Structure Affects Cosmic Evolution

For nearly a century, cosmologists have relied on a simplified model of the universe that treats matter as uniform particles that don’t interact with each other. While this approach helped scientists understand the Big Bang and the expansion of space, it ignores a fundamental reality, that our universe is anything but uniform. Stars cluster into galaxies, matter collapses into black holes, and vast empty voids stretch across space, all constantly interacting through gravity and other forces.

Scientists fed people a fat-filled milkshake — it disrupted blood flow to their brains within hours

A single indulgent meal may carry hidden risks. Scientists found that drinking a milkshake with 130 grams of fat impaired blood flow to the brain within hours, raising concerns about stroke, dementia, and how everyday diets shape brain health.

Srinivasa Ramanujan

Srinivasa Ramanujan Aiyangar [ a ] FRS (22 December 1887 – 26 April 1920) was an Indian mathematician. He is widely regarded as one of the greatest mathematicians of all time, despite having almost no formal training in pure mathematics. He made substantial contributions to mathematical analysis, number theory, infinite series, and continued fractions, including solutions to mathematical problems then considered unsolvable.

Ramanujan initially developed his own mathematical research in isolation. According to Hans Eysenck, “he tried to interest the leading professional mathematicians in his work, but failed for the most part. What he had to show them was too novel, too unfamiliar, and additionally presented in unusual ways; they could not be bothered”. [ 4 ] Seeking mathematicians who could better understand his work, in 1913 he began a mail correspondence with the English mathematician G. H. Hardy at the University of Cambridge, England. Recognising Ramanujan’s work as extraordinary, Hardy arranged for him to travel to Cambridge. In his notes, Hardy commented that Ramanujan had produced groundbreaking new theorems, including some that “defeated me completely; I had never seen anything in the least like them before”, [ 5 ] and some recently proven but highly advanced results.

During his short life, Ramanujan independently compiled nearly 3,900 results (mostly identities and equations). [ 6 ] Many were completely novel; his original and highly unconventional results, such as the Ramanujan prime, the Ramanujan theta function, partition formulae and mock theta functions, have opened entire new areas of work and inspired further research. [ 7 ] Of his thousands of results, most have been proven correct. [ 8 ] The Ramanujan Journal, a scientific journal, was established to publish work in all areas of mathematics influenced by Ramanujan, [ 9 ] and his notebooks—containing summaries of his published and unpublished results—have been analysed and studied for decades since his death as a source of new mathematical ideas.

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