DDN CEO Alex Bouzari says AI data infrastructure determines whether GPU investments pay off, as organizations split into those efficiently utilizing GPUs and those wasting capital. DDN is involved in a dozen sovereign AI projects, boosted Salesforce GPU productivity by 70%, and has been used internally by NVIDIA for eight years. DDN's Infinidat platform addresses the challenge of connecting distributed edge data centers, monolithic data centers, and multi-cloud environments.

Alongside the GPT-5.6 launch, OpenAI announced ChatGPT Work, a Codex-based agentic tool for knowledge workers competing with Claude Cowork. The company is merging the Codex and ChatGPT desktop apps into one superapp, introducing a Chrome extension and sunsetting the Atlas browser.

OpenAI's latest reasoning model GPT-5.6 Sol (max) achieves a score of 59 on the Artificial Analysis Intelligence Index, far exceeding the average. It features text and image input, a 1M token context window, but comes at a high price: $5 per million input tokens and $30 per million output tokens. During evaluation, it generated 70M output tokens, indicating higher verbosity.

ChatGPT's new Live Voice mode uses full-duplex architecture to speak and listen simultaneously, enabling more natural conversations. Available for all users, it can search the web during chats and handle interruptions smoothly. While not perfect, it feels nearly human.

The article discusses how agentic AI revolutionizes software engineering by making execution and half of the 'how' tasks obsolete, forcing a shift in hierarchy. It argues that AI increases human agency and risk, leading to junior engineer job market collapse, need for risk tolerance, and convergence of engineer and manager roles into CEO-like positions.

OpenAI released its latest advanced AI model, ChatGPT 5.6, on Thursday after a delay due to US government cybersecurity concerns. The Trump administration had asked OpenAI to limit the release to a small group of government-approved users. OpenAI complied and restricted the model to trusted partners. Wider release came after additional testing by a government agency. Similar restrictions were applied to rival Anthropic's latest models.

Agents' Last Exam is a large-scale benchmark built by Berkeley RDI and over 300 industry experts, covering 55 sub-industries and 1,500+ tasks to evaluate AI agents on long-horizon, economically valuable, verifiable real-world workflows. It measures agent performance in professional software like Adobe After Effects, Siemens NX, and Unreal Engine across animation, engineering, game development, manufacturing, architecture, and neuroscience.

Cortex introduces the DRIVE framework to measure engineering organizational health in the AI era. It assesses effectiveness across five pillars—Delivery, Reliability, Initiatives, Vigilance, and Efficiency—and uses recurring Operational Excellence reviews to turn measurements into action.

OpenAI has released its GPT-5.6 family of models, including three variants: Sol, Terra, and Luna. The new models compete with Anthropic's Fable 5 on benchmarks but at lower cost, with improvements in coding, knowledge work, and safety.

A new economic analysis from theCUBE Research found that migrating from a fragmented, on-premises data estate to Oracle Corp.’s Autonomous AI Database on Multicloud can deliver meaningful modernization value — and substantially larger returns when organizations use the platform to accelerate AI projects.

The updates amount to a significant expansion of the platform.

Samaya Research introduces FrontierFinance, the largest open benchmark for investor workflows.

Frame.js is an open-source, browser-embedded runtime for creating interactive apps, charts, and sketches. Use AI or code, then share via self-contained URLs instantly. No build, server, or account required.

Google Cloud announces the public preview of Cloud Run sandboxes, a native, secure, and ultra-fast runtime environment for executing untrusted code and agent workloads, starting in milliseconds. It supports use cases like LLM code interpreters, headless browsers, and user-submitted code execution, with zero-trust security through credential isolation, default-deny egress, and read-only filesystem overlay.

Autopilot-Jobhunt is an AI tool that scans job postings, matches them to a user's resume, and notifies via Telegram. It can also generate tailored resumes and cover letters, but never auto-applies. It uses free AI models and prioritizes privacy.

The model release is the first since SpaceX went public in June and will help SpaceXAI compete with other frontier model providers, particularly in coding.

ChatGPT Work is an agent that can take action across your apps and files, stay with a project for hours if needed, and turn a goal into finished work.

AI agents are evolving from one-time assistants to persistent workers that can repeat tasks, monitor changes, and run checks until a goal is met. This article explores the concept of agent loops, focusing on Claude Code's /loop command and OpenAI Codex automations, covering architecture, loop types, and hands-on examples.

Microsoft is accelerating AI-driven vulnerability detection in Windows. Its new pipeline found 16 vulnerabilities in May, with more fixes expected per update. Enterprise admins need to adapt to faster patching cycles with tools like KIR and hotpatch.

About two weeks after a limited preview restricted to government-approved organizations, OpenAI has received approval for public rollout of GPT-5.6. Simultaneously, the company unveiled ChatGPT Work, an AI agent combining ChatGPT and Codex for non-technical users. Powered by the GPT-5.6 suite (Sol, Terra, Luna), it integrates with various apps to create documents, spreadsheets, etc. The desktop app is available globally, with mobile and web access rolling out gradually. OpenAI aims to lead in the competitive AI agent space.

Windows 11 updates could soon include fixes for more security issues at once. Microsoft said in a blog post on Thursday that it's now using AI to “identify potential issues earlier,” which means “customers will see a higher volume of security updates included in each security release.”

A new Dartmouth study finds that AI-drafted responses to patient messages often contain errors and extraneous details, forcing physicians to spend more time editing than if they had written the messages from scratch.

As AI agents generate performant GPU kernels, building trust becomes the bottleneck. Gimlet Labs presents an early research system that uses formal verification to catch bugs missed by numerical tests, demonstrated with a missing clamp in attention kernels.

As agentic AI accelerates enterprise transformation, data sovereignty is crystallizing from a compliance checkbox into a foundational strategic imperative — one that determines not just where data lives, but who captures the economic value it generates. The debate is particularly acute in Europe, but companies globally are reassessing control over hyperscalers, model providers, and closed-weight systems.

As AI models grow larger and costlier, users report declining quality and rising bills. This article coins the term 'model bloat' to describe the accumulation of unnecessary size and complexity without proportional gains, and argues that naming the pattern helps address it.

Aurora 1.5 adds 22 more variables, hourly temporal resolution, and probabilistic ensemble forecasting to the Aurora foundation model, making it more useful for real-world weather, climate, and energy applications. Released as open source, it enables researchers and developers to use, evaluate, and build on the model.

In this post, we show where MCP tool design goes wrong and how to fix it with practical context engineering approaches.

This post walks through five new capabilities for Amazon SageMaker HyperPod inference: multi-tier data capture for auditing and model improvement, direct deployment from Hugging Face Hub, local NVMe model loading for faster cold starts, automated Route 53 DNS for custom domains, and pod-level IAM through custom service accounts. These enhancements provide faster, more observable, and more flexible inference infrastructure for enterprise generative AI workloads.

Meta introduces Muse Spark 1.1, the first Spark model with an API, featuring improvements in agentic tool calling and computer use. The evaluation report reveals interesting 'attractor states' in self-conversation. Developer Simon Willison created a plugin for CLI access.

Simon Willison released llm-meta-ai 0.1, an LLM plugin for the Meta AI API, enabling prompts against the new muse-spark-1.1 model.