# gpt Published articles for gpt. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Measuring and Improving Consistency in Repeated Agent Runs DevFeed: [Measuring and Improving Consistency in Repeated Agent Runs]() Original publisher: [Read original article]() Author: Evelyn Duesterwald; Lilian Ngweta; Vatche Isahagian; Jayaram Radhakrishnan; Vinod Muthusamy; Gaodan Fang; Ashwath Vaithinathan Aravindan; Punleuk Oum; G Thomas; Merve Unuvar; Ayhan Sebin; Michał Ulewi Published: 2026-09-15T16:00:44Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [Benchmark](), [Ground truth / benchmark quality](), [model-deployment]() Tags: [agent](), [benchmarks](), [consistency](), [evaluation](), [gpt](), [inference](), [leaderboard](), [model](), [reports](), [standard](), [technical]() ### AI overview This article presents the Consistency Analyzer, a diagnostic for finding decision points where an agent's behavior may change across repeated runs. It introduces consistency guidelines in ALTK-Evolve and reports that they reduced the consistency gap from 24.4 percentage points to 12.0 points without reducing average accuracy. ### Source excerpt That is embarrassing onstage. In production, it is a reliability problem: a workflow that succeeded once may fail the next time a user makes the same request. For mission-critical work, such as reconciling a financial transaction or checking a contract for an obligation, that can be a showstopper. Most benchmarks hide this variability behind an average. On AppWorld, a ReAct agent using GPT-4.1 succeeded on 77.4% of runs across five repetitions. ## AWS Weekly Roundup: OpenAI GPT-6 Astra on Amazon Bedrock, Amazon Quick desktop GA, Kiro for students, and more (September 14, 2026) DevFeed: [AWS Weekly Roundup: OpenAI GPT-6 Astra on Amazon Bedrock, Amazon Quick desktop GA, Kiro for students, and more (September 14, 2026)]() Original publisher: [Read original article]() Author: Micah Walter Published: 2026-09-14T15:56:33Z Content type: news Language: en Sources: [AWS News Blog]() Topics: [Amazon Bedrock](), [Frontier Model](), [OpenAI](), [context window](), [browser](), [ChatGPT](), [codex](), [macOS](), [Windows](), [Mobile]() Tags: [agents](), [ai](), [ai-agents](), [amazon](), [amazon-bedrock](), [amazon-elastic-block-store-amazon-ebs](), [amazon-opensearch-service](), [amazon-quick-suite](), [aws](), [aws-lambda](), [aws-outposts](), [aws-transform](), [bedrock](), [browser](), [chatgpt](), [codex](), [context-window](), [frontier-model](), [google-play](), [gpt](), [kiro](), [launch](), [macos](), [mobile](), [openai](), [week-in-review](), [windows]() ### AI overview This AWS Weekly Roundup highlights the general availability of OpenAI GPT-6 Astra on Amazon Bedrock, describing its reasoning, writing, design, computer-use, browser-use, and million-token context-window capabilities. It also covers the Amazon Quick desktop app for macOS and Windows, including synchronized conversations and agents across desktop and mobile, plus other AWS launches and updates. ### Source excerpt There's a particular energy to mid-September in New York. Pumpkin spice lattes are flowing, temperatures are dropping, and it's nearly sweater weather. The city is back at full speed, and so is the AWS launch calendar. This week that energy showed up in a new frontier model on Amazon Bedrock, a desktop app for Amazon [...] ## Security Week 2638: опасные уязвимости в роутерах MikroTik DevFeed: [Security Week 2638: опасные уязвимости в роутерах MikroTik]() Original publisher: [Read original article]() Author: Kaspersky\_Lab ("Лаборатория Касперского") Published: 2026-09-14T15:06:43Z Content type: news Language: ru Sources: ["Лаборатория Касперского" RU]() Topics: [MikroTik](), [Security](), [CVE-2026-86060](), [ssh]() Tags: [2026](), [chromium](), [cve](), [cve-2026-86060](), [gpt](), [microsoft](), [mikrotik](), [openai](), [security](), [ssh](), [tag-9fe8963de219]() ### AI overview The article reports three vulnerabilities in MikroTik routers, including SSH authentication bypass, privilege escalation, and a denial-of-service issue. Two vulnerabilities were actively exploited, and MikroTik released patches for affected RouterOS versions. The report also describes AI-assisted vulnerability discovery involving OpenAI GPT models and briefly mentions vulnerabilities in WeChat and a large Microsoft patch release involving Chromium. ### Source excerpt На прошлой неделе команда CERT из Польши обнародовала информацию о трех уязвимостях в роутерах MikroTik, две из которых активно используются в реальных атаках как минимум со второго сентября. Взлом роутеров возможен в том случае, если на устройстве разрешен доступ по протоколу SSH из Интернета. По данным на пятое сентября в сети наблюдалось более 122 тысяч потенциально уязвимых устройств. Две наиболее опасные уязвимости имеют одинаковый рейтинг 9,2 балла по шкале CVSS. Проблема CVE-2026-67276 позволяет обойти аутентификацию по SSH в том случае, если атакующему известно имя пользователя и модуль публичного ключа. Ошибка CVE-2026-86060, в свою очередь, открывает возможность эскалации привилегий при использовании имени пользователя, содержащего некорректные символы. Читать далее ## Generating running routes with GPT-6 Astra and ChatGPT Work DevFeed: [Generating running routes with GPT-6 Astra and ChatGPT Work]() Original publisher: [Read original article]() Author: Simon Willison Published: 2026-09-12T23:56:42Z Content type: opinion Language: en Sources: [Simon Willison](), [Simon Willison's Weblog]() Topics: [ChatGPT](), [Large Language Model](), [GeoJSON](), [Code](), [d3]() Tags: [agent](), [ai](), [ai-2-235](), [chatgpt](), [chatgpt-204](), [code](), [d3](), [d3-15](), [generative-ai](), [generative-ai-1-981](), [geospatial](), [geospatial-85](), [gpt](), [gpt-6-astra](), [gpt-6-astra-9](), [llms](), [llms-1-947](), [map](), [openai](), [openai-463](), [python](), [skills](), [skills-15](), [work]() ### AI overview The article describes using ChatGPT Work with GPT-6 Astra to generate 5K and 10K running routes from OpenStreetMap data, producing an embedded visualization and downloadable GPX and GeoJSON files. It also criticizes the lack of visibility into the generated Python code and the loss of that code after thread compaction. ### Source excerpt Here's a neat thing I had ChatGPT Work with GPT-6 Astra (Max) do this morning: I live at . Figure out 5K and 10K running routes from me that loop from my house. Use OSM data. It worked for 27 minutes and produced exactly what I'd asked for, as both an embedded visualization and downloadable GPX file and GeoJSON files. Here's that 5K route: When I asked it how it had created the route, it replied: I used Nominatim to locate the address and Overpass to download local OpenStreetMap roads and trails, then calculated the loops locally. Frustratingly, the actual code it ran and exact details of what it did weren't visible to me in the ChatGPT UI. I see this lack of transparency is an anti-feature. By the time I thought to ask for a copy of the Python code it had used, ChatGPT was unable to provide it. This appears to be because the thread had been compacted. I think any LLM system that uses compaction needs to both preserve the pre-compacted text and make that text available via agent tool calls, to protect against this kind of problem. As for displaying the map to me, that used the visualize skill. It created a file called /workspace/el-granada-5k-share.html to embed directly into the ChatGPT UI. Here's a copy of that HTML, which starts like this:

El Granada harbor loop

5.1 km
Map data © OpenStreetMap contributors
) Original publisher: [Read original article]() Published: 2026-09-12T11:14:21.124044Z Content type: article Language: en Sources: [OpenAI News]() Topics: [AI-assisted coding](), [Language models]() Tags: [api](), [code](), [gpt](), [monitor](), [production](), [search](), [systems](), [testing](), [workflow]() ### AI overview Perplexity describes using GPT-6 Astra to write code and communications, modify and monitor production software, and create end-to-end tests with simulated service responses. ### Source excerpt Perplexity uses Astra to write communications, change software, and monitor production systems, and checks in much less frequently than with earlier models. ## Cognition helps Devin test its own work with GPT-6 Astra DevFeed: [Cognition helps Devin test its own work with GPT-6 Astra]() Original publisher: [Read original article]() Published: 2026-09-11T16:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [Code review](), [Software](), [Code](), [bug]() Tags: [agent](), [autonomous](), [bug](), [gpt](), [review](), [software](), [testing]() ### AI overview Cognition uses GPT-6 Astra with Devin to test software, provide evidence of results, and help engineers review code changes more efficiently. ### Source excerpt GPT-6 Astra improves Devin's ability to test software and show that it works, with the goal of helping engineers review less code and ship more. ## OpenAI split a voice model's brain. Then one team deleted 23,000 lines of code. DevFeed: [OpenAI split a voice model's brain. Then one team deleted 23,000 lines of code.]() Original publisher: [Read original article]() Author: Amanda Caswell Published: 2026-09-10T20:08:18Z Content type: news Language: en Sources: [The New Stack]() Topics: [Artificial Intelligence]() Tags: [agent](), [agents](), [ai-agents](), [ai-engineering](), [api](), [architecture](), [backend](), [benchmark](), [code](), [event-driven](), [gpt](), [large-language-models](), [openai]() ### AI overview OpenAI launched GPT-Live-1 in its API to give outside developers a full-duplex voice model that can manage live conversation while delegating heavier processing to other backend models. The article describes its interruption handling, conversational filler during handoffs, event-driven delegation, and reported benchmark results. ### Source excerpt Building an AI voice agent has always been clunkier than it seems. Most voice agents are really a chain of The post OpenAI split a voice model's brain. Then one team deleted 23,000 lines of code. appeared first on The New Stack. ## GPT Images 2.5 promises edits that leave the rest of your image alone DevFeed: [GPT Images 2.5 promises edits that leave the rest of your image alone]() Original publisher: [Read original article]() Author: Meredith Shubel Published: 2026-09-10T19:46:32Z Content type: news Language: en Sources: [The New Stack]() Topics: [Artificial Intelligence](), [Latency]() Tags: [ai](), [applications](), [cost](), [generation](), [gpt](), [images](), [latency](), [model](), [models](), [openai](), [production](), [prototyping](), [search](), [workflows]() ### AI overview OpenAI's GPT Images 2.5 introduces two image-editing models: Flare, optimized for speed and lower latency, and Sunburst, designed for greater precision and control. Both have the same listed token rates, but OpenAI does not explain their actual token consumption or comparative per-image costs. ### Source excerpt When OpenAI launched GPT Images 2.5 this week, the company promised better results for a common editing task: changing one The post GPT Images 2.5 promises edits that leave the rest of your image alone appeared first on The New Stack. ## OpenAI Releases GPT-6 Astra for Coding and Computer Use DevFeed: [OpenAI Releases GPT-6 Astra for Coding and Computer Use]() Original publisher: [Read original article]() Author: Daniel Dominguez Published: 2026-09-10T17:49:00Z Content type: news Language: en Sources: [InfoQ]() Topics: [releases](), [AI-assisted coding](), [AI Bots](), [Vulnerabilities](), [SDKs]() Tags: [agent](), [agentic](), [agents](), [ai](), [ai-ml-data-engineering](), [anthropic](), [api](), [artificial-intelligence](), [chatgpt](), [codex](), [coding](), [computer-use](), [cybersecurity](), [evaluation](), [gpt](), [large-language-models](), [ml-data-engineering](), [news](), [openai](), [openai-gpt6-astra](), [releases](), [vulnerabilities]() ### AI overview OpenAI released GPT-6 Astra, a model for computer use, coding, multi-step software tasks, and cybersecurity. The article reports benchmark results, long-context and Codex context features, deployment availability, and safety restrictions for advanced offensive cybersecurity tasks. ### Source excerpt OpenAI has released GPT-6 Astra, a new model focused on coding, computer use, long-running agentic tasks, and cybersecurity, with availability across ChatGPT, Codex, and the OpenAI API. By Daniel Dominguez ## Introducing ChatGPT for Financial Services DevFeed: [Introducing ChatGPT for Financial Services]() Original publisher: [Read original article]() Published: 2026-09-10T07:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [data](), [datasets](), [Model Context Protocol](), [Latency]() Tags: [chatgpt](), [data](), [datasets](), [financial-services](), [gpt](), [latency](), [mcp](), [models](), [openai](), [product](), [reasoning](), [retrieval](), [security]() ### AI overview ChatGPT for Financial Services combines GPT-6 Astra with built-in, OpenAI-hosted financial data for research, financial modeling, and client materials. It includes data-provider datasets, citations, enterprise controls, and MCP performance improvements. ### Source excerpt Introducing ChatGPT for Financial Services, combining built-in financial data and GPT-6 Astra for research, modeling, and client-ready materials. ## Build more natural voice experiences with GPT-Live-1 in the API DevFeed: [Build more natural voice experiences with GPT-Live-1 in the API]() Original publisher: [Read original article]() Published: 2026-09-10T00:00:00Z Content type: release Language: en Sources: [OpenAI News]() Topics: [voice ai](), [Large Language Model](), [Latency](), [asr]() Tags: [agents](), [api](), [audio](), [gpt](), [latency](), [llm](), [product](), [reasoning](), [release](), [text-to-speech](), [tool](), [voice]() ### AI overview GPT-Live-1 is launching in the API for full-duplex voice applications. The release emphasizes interruption handling, customizable conversational behavior, delegated reasoning and tool calls, long-session reliability, and telephony support. ### Source excerpt GPT-Live-1 brings natural, full-duplex voice conversations to the API, with stronger instruction following, custom voices, and telephony support. ## GPT-6 Astra: The next generation in intelligence for work DevFeed: [GPT-6 Astra: The next generation in intelligence for work]() Original publisher: [Read original article]() Published: 2026-09-09T11:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [computer-use](), [coding](), [Software Engineering](), [Latency]() Tags: [api](), [chatgpt](), [codex](), [coding](), [computer-use](), [developer](), [engineering](), [gpt](), [latency](), [model](), [openai](), [product](), [software-engineering](), [work](), [workflows]() ### AI overview GPT-6 Astra is presented as a model for business work, with computer-use capabilities, coding support, and use within existing applications and workflows. ### Source excerpt Meet GPT-6 Astra, OpenAI's most capable model for business, with advanced reasoning, computer use, and stronger writing and design judgment. ## Using 10 Claude Skills to Run an Online Content Website DevFeed: [Using 10 Claude Skills to Run an Online Content Website]() Original publisher: [Read original article]() Author: iHateReading Published: 2026-09-09T10:43:29Z Content type: opinion Language: en Sources: [iHateReading]() Topics: [Claude](), [Website]() Tags: [ai](), [backend](), [blockchain](), [claude](), [claude-skills](), [coding](), [development](), [founderos](), [founderos-claude-claude-skills-gpt-ai](), [frontend](), [gpt](), [i-gave-claude-10-plus-saas-growth-skills-and-let-it-run-my-own-platform](), [ihatereading](), [javascript](), [node-js](), [product](), [programming](), [react](), [skills](), [typescript](), [web-development]() ### AI overview The article describes using 10 Claude Skills to run an online content website. ### Source excerpt Run entire online content website using 10 Claude Skills ## Take on your most ambitious work with GPT-6 Astra on Amazon Bedrock DevFeed: [Take on your most ambitious work with GPT-6 Astra on Amazon Bedrock]() Original publisher: [Read original article]() Author: Tanvi Girinath Published: 2026-09-08T22:06:58Z Content type: release Language: en Sources: [Artificial Intelligence]() Topics: [AI, ML & Data Engineering](), [AI-assisted coding](), [AI Chat]() Tags: [agents](), [amazon-bedrock](), [announcements](), [api](), [aws](), [cache](), [chatgpt](), [codex](), [gpt](), [intermediate-200](), [openai](), [scalability](), [security]() ### AI overview GPT-6 Astra is generally available on Amazon Bedrock. The article describes its reasoning, codebase work, browser use, prompt caching, and enterprise controls for production workloads. ### Source excerpt GPT-6 Astra from OpenAI is now generally available on Amazon Bedrock. It brings deeper reasoning and sharper judgment to your most demanding tasks, running on the Amazon Bedrock inference engine built for high performance, security, and scale. ## How GPT-5.6 Sol helps run quantum computing experiments DevFeed: [How GPT-5.6 Sol helps run quantum computing experiments]() Original publisher: [Read original article]() Published: 2026-09-08T17:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [AI research agents]() Tags: [agents](), [ai](), [ai-agents](), [analysis](), [applied-ai](), [codex](), [experiments](), [gpt](), [quantum](), [quantum-computing]() ### AI overview An MIT researcher connected GPT-5.6 Sol through Codex to laboratory software for superconducting-qubit experiments. The system ran routine measurements, analyzed results, and selected next steps, reducing the need for constant supervision during calibration workflows. ### Source excerpt See how an MIT researcher uses GPT-5.6 Sol with Codex to autonomously run quantum computing experiments, analyze results, and calibrate qubits. ## Introducing ChatGPT Images 2.5 DevFeed: [Introducing ChatGPT Images 2.5]() Original publisher: [Read original article]() Published: 2026-09-08T11:30:00Z Content type: release Language: en Sources: [OpenAI News]() Topics: [API]() Tags: [api](), [chatgpt](), [codex](), [feature](), [generate](), [generation](), [gpt](), [images](), [latency](), [mobile](), [models](), [product](), [speed](), [web](), [work](), [workflows]() ### AI overview ChatGPT Images 2.5 is a new image model with sharper details, more precise multi-turn editing, improved reference-photo fidelity, richer textures, and up to 50% lower generation latency than Images 2.0. The release adds creative controls in ChatGPT and introduces GPT-Image-2.5 Flare and Sunburst in the API. ### Source excerpt ChatGPT Images 2.5 helps turn your ideas, sketches, and reference photos into more personalized, polished images that better reflect your ideas. ## On the Navier-Stokes Millennium Prize Problem DevFeed: [On the Navier-Stokes Millennium Prize Problem]() Original publisher: [Read original article]() Published: 2026-09-08T10:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [Math and Logic](), [Lean]() Tags: [ai](), [gpt](), [model](), [openai](), [research]() ### AI overview OpenAI shares an AI-generated solution to the Navier-Stokes existence and smoothness problem, with a proof writeup and a Lean formalization. ### Source excerpt We're sharing an AI-generated solution to the Navier-Stokes Millennium Prize Problem, including a writeup and a formal proof in Lean. ## GPT-6 Astra on GitLab: Faster runs, fewer tokens used DevFeed: [GPT-6 Astra on GitLab: Faster runs, fewer tokens used]() Original publisher: [Read original article]() Author: Brittany Lutz Published: 2026-09-08T00:00:00Z Content type: news Language: en Sources: [GitLab]() Topics: [GitLab]() Tags: [agent](), [agentic](), [ai](), [benchmark](), [evaluation](), [features](), [frontier-model](), [gpt](), [model](), [openai](), [platform](), [product](), [review](), [testing](), [updates]() ### AI overview GitLab Duo Agent Platform adds GPT-6 Astra. GitLab reports faster typical and slow-tail runs plus lower token use than GPT-5.6 Sol, while noting Sol had a higher benchmark task-resolution rate. ### Source excerpt OpenAI's newest frontier model GPT-6 Astra is now on GitLab Duo Agent Platform, delivering faster runs and lower token usage. In GitLab's internal evaluation, GPT-6 Astra finished a typical run 43.4% faster than GPT-5.6 Sol and used 42.7% fewer tokens per run, while completing every task in the benchmark. For your team, that means agentic tasks such as dependency updates, build fixes, and small multi-file changes come back faster, and stretch your token budget across more of your team's backlog. Faster agentic work, even on your slowest runs Wait time factors into how your team uses an agent. A run that comes back in a few minutes is one you stay engaged with. A longer run is one you let work in the background while you move to another task. When it finishes, you switch context from the work you're in, reread what you asked the agent for, and review a diff you last thought about 30 minutes ago. The longer runs that result in context switching are the ones GPT-6 Astra shortened most in GitLab's internal testing. At the 95th percentile, the slower tail of its runs, GPT-6 Astra finished 49.2% faster than GPT-5.6 Sol, and 43.4% faster on a typical run. Astra's slowest runs finish in roughly the time Sol needed for an average one. With GPT-6 Astra, your team waits less on high volume, routine work. Every task finished, at a lower token usage per run In GitLab's internal testing, GPT-6 Astra completed 100% of benchmark tasks. No run stalled, timed out, or came back empty, so your team isn't left waiting on runs that finish with nothing to review. Astra resolved 63.3% of those tasks, returning a change that passed the benchmark's tests, compared to a 76.7% resolution rate for GPT-5.6 Sol. Misses return as patches to correct rather than runs that produced nothing. Astra reached its completion rate using 42.7% fewer tokens per run than Sol, measured across the same set of tasks. That savings compounds across a backlog, so your token budget covers more of the work your team d ## GPT Image 2.5 Flare and Sunburst now available on AI Gateway DevFeed: [GPT Image 2.5 Flare and Sunburst now available on AI Gateway]() Original publisher: [Read original article]() Author: Jerilyn Zheng Published: 2026-09-08T00:00:00Z Content type: release Language: en Sources: [Vercel News]() Topics: [Artificial Intelligence](), [OpenAI]() Tags: [ai](), [generation](), [gpt](), [image](), [images](), [models](), [openai](), [playground]() ### AI overview OpenAI's GPT Image 2.5 Flare and GPT Image 2.5 Sunburst are now available through AI Gateway for image generation and editing. Flare emphasizes faster generation, while Sunburst prioritizes editing precision; both support text prompts, reference images, detailed instructions, complex layouts, transparent backgrounds, and targeted edits that preserve the rest of an image. ### Source excerpt GPT Image 2.5 Flare and GPT Image 2.5 Sunburst from OpenAI are now available on AI Gateway. Both models accept text prompts and reference images for generation and editing. They produce natural lighting and textures, follow detailed visual instructions, handle complex layouts and transparent backgrounds, and make targeted edits while preserving the rest of an image. Choose Flare for faster generation and Sunburst when editing precision matters most. For Flare, use the model ID openai/gpt-image-2.5-flare: For Sunburst, use openai/gpt-image-2.5-sunburst. Pass a reference image with the instruction: Try Flare or Sunburst in the model playground, or view all image models available on AI Gateway. Read more ## GPT-6 Astra and Fable 5.1: Starting and Reviewing Self-Directed Work DevFeed: [GPT-6 Astra and Fable 5.1: Starting and Reviewing Self-Directed Work]() Original publisher: [Read original article]() Author: Nate Published: 2026-09-06T15:03:01Z Content type: opinion Language: en Sources: [Nate's Substack]() Topics: [gpt-6-astra](), [Fable]() Tags: [fable](), [gpt](), [gpt-6-astra]() ### AI overview The article discusses changes involving GPT-6 Astra and Fable 5.1, focusing on starting self-directed work with minimal input, how long it can run without supervision, and the role of the user when it returns. ### Source excerpt What changed this week, with GPT-6 Astra and Fable 5.1, is how little you have to say to start one, how long it runs without you, and what your job is when it comes back. ## GPT-6 Astra Draws a Python Reading a Book DevFeed: [GPT-6 Astra Draws a Python Reading a Book]() Original publisher: [Read original article]() Author: Martin Breuss Published: 2026-09-04T14:00:00Z Content type: article Language: en Sources: [Real Python]() Topics: [AI Chat]() Tags: [ai](), [ai-models](), [benchmark](), [code](), [command-line](), [cost](), [errors](), [gpt](), [python](), [python-3-10](), [reasoning]() ### AI overview Real Python evaluates GPT-6 Astra with five fixed, one-shot prompts, including a Python turtle drawing, a command-line tool, a small code edit, and a nonexistent function check. ### Source excerpt GPT-6 Astra takes Real Python's vibe check for AI models: a turtle drawing of a python reading a book, a Python vintage, a tiny edit, and a made-up function. ## GPT 6 Astra now available on Vercel AI Gateway DevFeed: [GPT 6 Astra now available on Vercel AI Gateway]() Original publisher: [Read original article]() Author: Jerilyn Zheng Published: 2026-09-04T00:00:00Z Content type: release Language: en Sources: [Vercel News]() Topics: [Artificial Intelligence](), [OpenAI](), [Vercel](), [AI-assisted coding](), [codex]() Tags: [agentic](), [ai](), [ai-gateway](), [coding](), [coding-agents](), [gpt](), [model](), [openai](), [playground](), [vercel]() ### AI overview Vercel AI Gateway now offers OpenAI's GPT 6 Astra, a model designed for long-running agentic work. It can navigate software, analyze data, run simulations, and build and test websites while adapting to changing requirements. ### Source excerpt GPT 6 Astra from OpenAI is now available on AI Gateway. GPT 6 Astra is designed for long-running agentic work. It can navigate software, analyze data, run simulations, and build and test websites while adapting to new requirements, filling in routine gaps, and continuing other work when it needs clarification. Use the model ID openai/gpt-6-astra: To use GPT 6 Astra with a coding agent, run vercel ai-gateway coding-agents setup, then select openai/gpt-6-astra. See the setup guides for Codex and Hermes for specific instructions. Try GPT 6 Astra in the model playground. Read more ## Introducing context-aware vulnerability discovery and remediation with Cloudflare Managed Defense and OpenAI Daybreak models DevFeed: [Introducing context-aware vulnerability discovery and remediation with Cloudflare Managed Defense and OpenAI Daybreak models]() Original publisher: [Read original article]() Author: Blake Darché Published: 2026-09-03T21:03:02Z Content type: release Language: en Sources: [Cloudflare Blog]() Topics: [Vulnerabilities](), [Language models](), [AI-assisted coding]() Tags: [artificial-intelligence](), [cloudflare](), [code](), [developers](), [edge](), [firewall](), [gpt](), [large-language-models](), [openai](), [product-news](), [production](), [security](), [vulnerability](), [workers]() ### AI overview Cloudflare announces early access to an invitation-only service that prioritizes code vulnerabilities using production traffic, security signals, WAF context, and OpenAI Daybreak models. It proposes and validates patches or mitigations for customer review, while customers decide whether to implement them. ### Source excerpt Use production traffic and security signals to prioritize findings, prepare edge mitigations when safe, and propose code patches. By combining WAF data with OpenAI Daybreak models, Vulnerability Discovery and Remediation helps teams identify and patch the most critical threats first. ## Playco cut manual fixes 50% prototyping games with GPT-6 Astra DevFeed: [Playco cut manual fixes 50% prototyping games with GPT-6 Astra]() Original publisher: [Read original article]() Published: 2026-09-03T12:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [Game engine](), [ide](), [Code]() Tags: [ai](), [ai-models](), [bugs](), [game-development](), [gpt](), [ide](), [performance](), [prototypes](), [prototyping](), [reasoning](), [startup](), [ui](), [vision]() ### AI overview Playco reports that GPT-6 Astra helped it create three themed game prototypes from a shared grey-box foundation, with 50% fewer manual fixes than its previous model. The company uses the model in Playbot, an AI-powered IDE connected to game engines for editing, testing, validation, and bug finding. ### Source excerpt Using GPT-6 Astra, Playco built three themed game prototypes from one grey box foundation and reported 50% fewer manual fixes than with the previous model. [Next page]()