ChatGPT Images 2.0 adds a reasoning layer that checks layout, text accuracy and numbers before generating images, unlocking reliable multilingual posters, infographics and compliance creatives in one go.
Coinbase is the brand AI engines most often recommend to a first-time buyer. Five brands are actively warned against — including FTX, Celsius, and Terra/Luna, years after collapse. MIAMI, July 2, 2026 /PRNewswire/ — 5W, the AI Communications Firm, today released The Crypto Trust Index 2026 — research scoring how ChatGPT, Claude, Perplexity, Gemini, and Google … Continue reading "AI Is the New Crypto On-Ramp — and It Is Picking Winners. 5W Crypto Trust Index 2026 Scores 25 Brands by How AI Treats Them."
Exclusive: £20bn of ‘potential’ £30bn AI investment touted by UK ministers appears to have been hypothetical
It was to be the biggest undertaking in Britain for OpenAI, the company behind ChatGPT. Stargate UK – a multibillion-pound UK datacentre project – would represent “a major step forward in the US-UK technology partnership”.
But the plans were paused in April, with an OpenAI spokesperson citing concerns over regulation and high energy costs.
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Fanfiction communities are trying to hunt down writers who haven’t written works with their own hands. | Image: Álvaro Bernis / The Verge
Over the past week, a new fanworks movement has kicked off, with the aim to root out authors using generative AI. But the detection methods being implemented are questionable, and any fanfic writer could be caught in the crossfire.
Broad distaste around the use of Claude, ChatGPT, and other AI tools has long been a thing in creative communities, including the world of fanfiction. Readers and writers have passed around tips for spotting supposedly AI-generated works, citing anything from em dashes to the broad concept of purple prose. But on June 29th, an anonymous X account called @heatedrivalryai promised a seemingly more reliable solution …
Read the full story at The Verge.
As allegations of LLM use rock the literary and media worlds, linguists explain what really distinguishes human and machine language, while novelists including Jennifer Egan and Jeanette Winterson reflect on the future of fiction in an age of ChatGPT
Three paragraphs, from three different hotel reviews. Can you tell which, if any, were AI‑generated?
“The hotel is in a great location for everything. Lots of places to eat and drink. The hotel itself is always abuzz. The tavern located on the ground floor is definitely a must. Food, service, prices and atmosphere were great.”
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ChatGPT Pronunciation Guidance helps you correctly pronounce names, brands and places in 60+ languages with phonetic text and playable audio—before your next global meeting.
Satoshi Nakamoto remains Bitcoin’s most coveted mystery, with the creator’s true identity continuing to captivate researchers, journalists, cryptographers, and enthusiasts more than 17 years after the network’s launch. To explore whether that mystery will ever be solved, several of today’s top artificial intelligence (AI) models used Bayesian scenario trees to estimate the odds that Nakamoto’s […]
The lawsuit underscores the urgent need for robust mental health safeguards in AI systems, potentially influencing future regulatory frameworks.
The post Bipolar man sues OpenAI and Sam Altman over ChatGPT’s role in suicide attempt appeared first on Crypto Briefing.
AI-powered software development tools integrate with your IDE and codebase, helping you to write, refactor, and fix code faster. These tools also make it fast and easy to create and run unit tests and integration tests — tasks that take more time when done manually.
Today, .NET developers often use GitHub Copilot, Claude Code, Cursor AI, and even AI chatbots like ChatGPT to generate code. In this article, we’ll cover some best practices you should follow when using AI to generate your C# code.
Challenges of using AI-generated code
While AI can write code for you, often the generated code does not work as intended. AI may generate code that contains logic errors, bugs, or security vulnerabilities, or code that doesn’t conform to your organization’s coding conventions or quality standards, or code that isn’t compatible with existing architecture. Further, AI may generate code that runs slowly or fails to run at all.
These are some of the key challenges organizations face when using AI-ge