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OpenAI has introduced ChatGPT for Financial Services, a Wall Street-tailored version of ChatGPT Work built with Morgan Stanley and Evercore, powered by its new GPT-6 Astra model. The tool can research potential M&A targets, pull data from industry-standard financial sources, and automatically generate formatted PowerPoint pitch decks matching a bank's style guide.
OpenAI has released ChatGPT for Financial Services, a specialized version of its enterprise product built with input from Morgan Stanley and Evercore. Powered by its newest model, GPT-6 Astra, the tool can research companies, analyze financial data and automatically build the pitch decks that junior investment bankers typically produce by hand.
A follow-up experiment tested four open models—DeepSeek V4 Flash, Inkling, Kimi K3, and Qwen3.8 A95B—by inserting the first 1% of GPT-5.5 Pro's reasoning trace into each model's own reasoning channel before letting it generate answers freely. Researchers then measured how much of GPT-5.5 Pro's visible answer text overlapped with each model's output. Qwen3.8 showed the largest jump, with overlap rising from 33.92% unprefilled to 54.50% with the GPT-5.5 Pro prefill, a 20.58 percentage-point increase, while other models showed much smaller shifts.
Analysts examining OpenAI's newly released GPT-6 Astra note it outperforms its GPT-5.6 predecessor across writing, math, coding, and especially 3D rendering tasks, jumping from 7.8% to 99.9% on the ARC-AGI-3 benchmark. Speculation has emerged that Astra uses a looped or recurrent-depth transformer architecture and may be concealing parts of its chain-of-thought reasoning process from users.
OpenAI released GPT-6 Astra, which the company describes as its safest and most capable model yet, trained on roughly 100,000 Nvidia Blackwell GPUs. Nvidia's Jensen Huang publicly declared that AGI has been achieved, while OpenAI chief scientist Jakub Pachocki offered a more cautious framing, likening the model to an 'alien mind' that only simulates aspects of human behavior rather than replicating it. Independent benchmarks place Astra roughly on par with rival Fable 5.1, though reportedly cheaper to run per task.
Jensen Huang has for the second time this year proclaimed that artificial general intelligence has been achieved, this time tying his claim to OpenAI's newly launched GPT-6 Astra model. He highlighted that Astra was trained on more than 100,000 Nvidia Blackwell chips, with 400,000 more coming online soon, even as independent benchmarks show Astra trailing rival Claude in some tasks.
OpenAI has launched ChatGPT Images 2.5, an update to its April image generation model that promises sharper detail, more natural lighting, and better consistency when editing across multiple prompts. The company says generation latency has dropped by up to 50% compared with the original Images 2 model, and it's adding a sketch-to-image feature plus templates and prompt-sharing tools. Developers also get two new API models, GPT-Image-2.5 Flare and Sunburst, aimed at different levels of editing precision and speed.
OpenAI released Images 2.5, an upgraded image model powering ChatGPT and the GPT-Image API, offering sharper detail, better subject preservation from reference photos, and more reliable multi-turn editing. The update ships alongside new ChatGPT features like Sketch, templates, and image comments, plus two developer-facing API models, GPT-Image-2.5 Flare and Sunburst.
OpenAI says an internal AI model, more capable than GPT-6 Astra, generated a solution to part of the Navier–Stokes existence and smoothness problem, one of the Millennium Prize Problems. The proof demonstrates that three-dimensional incompressible fluid dynamics governed by these equations can develop a singularity—unbounded speed growth—in finite time, even from smooth initial conditions. OpenAI released both a written explanation of the proof and a formal verification built in the Lean proof assistant.
OpenAI claims its internal AI model, paired with 10,000 concurrent agents, solved the century-old Navier-Stokes equation, one of the seven Millennium Prize Problems worth $1 million. However, NYU professor Tristan Buckmaster says he and Anthropic researcher Levent Alpöge had been developing a nearly identical proof using OpenAI's Codex tool, and he suspects OpenAI may have drawn on their unpublished work without clear confirmation from the company.
OpenAI disclosed that its newly deployed GPT-6 Astra model is the first widely released system to hit the 'Critical' threshold in the company's Preparedness Framework for cybersecurity, meaning it can autonomously find and exploit zero-day vulnerabilities in hardened systems. In testing, Astra reportedly uncovered two previously unknown real-world vulnerabilities, which OpenAI says it is now disclosing to the affected software maintainers. The company added new safeguards including stronger jailbreak resistance and monitoring, and says Astra shows fewer safety violations than its predecessor, GPT-5.6 Sol.
An independent AI enthusiast known as CozyBlaze ran OpenAI's GPT-6 Astra model through Valve's Portal, letting it control the game via Model Context Protocol and a modified SourcePauseTool. The model paused the game to analyze screenshots and plan moves before executing them, requiring over 3,300 tool calls and roughly 24 hours of streamed footage, condensed into a two-hour highlight video, at a stated API cost of $571.18 covered by a Codex Pro subscription.