How to connect AI usage to business value
OpenAI described how ChatGPT Work and Codex analytics help teams understand AI usage and spending, identify training needs and connect adoption to business outcomes.
OpenAI described how ChatGPT Work and Codex analytics help teams understand AI usage and spending, identify training needs and connect adoption to business outcomes.
Mistral announced a partnership with Mozilla. Firefox's AI browsing assistant Smart Window (beta) is now powered by Mistral models, initially for France and North America, with the UK and Germany expected later this year.
Hex's data agent uses GPT-6 Astra to turn analytical answers into interactive visual reports that employees want to share.
TypeSafe released Jev, a non-autoregressive model trained with RLCD solely for decisions, classification, routing and scoring. Official claims put it at 20–200 times faster and 40–400 times cheaper than small frontier LLMs, with no output token charges.
OpenAI economic research finds workers use AI beyond traditional job responsibilities, with new activities becoming recurring parts of their work. It examines how employees actually expand their work with AI rather than limiting analysis to existing roles.
A University of Manchester team used NVIDIA Earth-2's generative Earth-2 CorrDiff model and one year of hourly UK pollution data to train a nationwide air-pollution model at 2–3-square-kilometre resolution, completing training in two days on one eight-GPU Isambard-AI node.
Salesforce unveiled its first CRM reasoning model, Koa, at Dreamforce. Post-trained on NVIDIA Nemotron 3 Super, it uses a proprietary synthetic dataset derived from nearly three decades of enterprise CRM deployments across more than 14 industries, including manufacturing, financial services, healthcare and travel.
Good Start Labs turned railway board game 1830 into a training environment and tested a 30B model. Both single-turn Q&A and multi-turn terminal-agent training improved game performance, but only the terminal-agent design improved Finance-Agent benchmark results.
Google Research proposed Retrieve-for-Train, using offline reinforcement learning to find reward-aligned query fan-out and compile it into supervision, then distilling it into a 53.9M-parameter diffusion retriever. At inference, it performs one non-autoregressive query fan-out without generating CoT reasoning tokens.
Google DeepMind released two real-time conversation models, Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking. The former targets scale and cost efficiency, while the latter targets complex tasks and multistep reasoning.
NVIDIA introduced DSX at AI Infra Summit to improve AI-factory token throughput within a fixed power budget. Lambda validated DSX MaxLPS on a five-rack, 19-node HGX B200 cluster, running 19 nodes within the same budget as 16 at full power. Cluster token throughput rose 24%, from around four million to five million tokens per second, with performance per watt up 23%.
NVIDIA announced several advances for Vera Rubin and the DSX platform at AI Infra Summit, focusing on energy-efficiency improvements in token throughput per megawatt.
IBM researchers added consistency guidelines to ALTK-Evolve, using Consistency Analyzer to diagnose decision points in agent trajectories that are prone to flipping.
Children's Hospital of Philadelphia (CHOP) uses MONAI, the open-source medical imaging framework co-founded by NVIDIA, to reduce paediatric heart modelling from four hours to seconds, already supporting complex ventricular septal defect surgical planning. CHOP is working with NVIDIA to integrate Newton, an open-source physics engine based on NVIDIA Warp, into SlicerHeart, reducing cardiac-device simulation from up to four hours to near real time.
AI Evaluator Forum released AEF-1 as a baseline proposal for independent third-party AI evaluation, covering access, conflicts of interest, funding relationships, recusal and transparency, with xAI, OpenAI and Anthropic signing.
Fyxer combines OpenAI models, fine-tuning and memory with real user feedback to organise each user's inbox and draft emails in their own voice.
Perplexity is using GPT-6 Astra to draft communications, modify software and monitor production systems, checking the model much less frequently than earlier models.
GitHub's Japan and Korea marketing leads used Copilot to automate event operations. GitHub Issues are work units, Issue forms collect structured fields and labels trigger Actions workflows to generate UTM links, landing pages and invitation emails and clean registrant lists.
Cognition uses GPT-6 Astra to improve Devin's ability to test software and demonstrate that it works, aiming to reduce engineers' code review burden and speed up delivery.
OpenAI evolved Habitat from a Python library into a globally distributed storage platform supporting one billion ChatGPT users and 22 million requests per second, meeting the scaling demands of ChatGPT's online storage.
At ACL 2026, Google Research proposed ToolGrad, an answer-first, question-later approach that generates real tool-call chains before deriving user queries, replacing traditional DFS trial-and-error annotation.
Copilot's built-in diff, terminal and browser panels enable review, execution and preview of AI code without switching applications. The diff highlights additions in green and deletions in red, supporting acceptance, comments or further edits. The terminal runs project commands with multiple windows, while the browser's Pick & Polish selects elements for agent adjustments.
César de la Fuente's lab uses Codex and ChatGPT to search the genomes of living and extinct organisms for candidate antimicrobial molecules to combat drug-resistant infections.
OpenAI announced Data agent in ChatGPT Work is available to everyone, connecting enterprise data, discovering insights and building interactive dashboards with AI through natural language.
Mistral and Cloudera partnered to integrate Mistral models into Cloudera's hybrid data platform. Enterprises can run inference in private or public clouds, on-premises and fully air-gapped environments with full control. They can train custom models on proprietary data in controlled environments while retaining ownership of data and resulting intelligence. Cloudera runs 30 exabytes of customer-managed data.
OpenAI launched ChatGPT for financial services, with built-in financial data and access to GPT-6 Astra for research, modelling and creating client-ready materials.
OpenAI partnered with the US General Services Administration (GSA) to offer eligible federal, state, local and tribal governments $0 licence fees, a 50% usage discount and expanded cyber-defence support.
TRL v1.14's AsyncGRPOTrainer now supports training and synchronising only LoRA adapters to vLLM. A rank-1 adapter is just a few MB and can transfer through a Storage Bucket mounted to each job, without NCCL.
The Hugging Face team rebuilt most AUTOMATIC1111 functionality as the Workflow1111 canvas using Gradio Workflow. Its 11 media pipelines and 73 nodes cover text-to-image, high-resolution fixes, image-to-image, prompt matrices, VLM reverse prompting, detection-generated inpainting masks, ControlNet-style annotators, background removal, PNG Info and image-to-video.
OpenAI launched GPT-Live-1 in the API, supporting natural full-duplex voice conversations with stronger instruction following, custom voices and telephony support.
OpenAI released the Agents API, a managed service powered by the Codex harness for building and launching cloud agents. It supports orchestration, long-running sessions and tool calls.
Paul Christiano joined the OpenAI Foundation board and its Safety and Security Committee, bringing experience in AI alignment, safety and standards.
OpenAI's Chris Lehane argues stronger AI capabilities require stronger safety evidence, shared standards and sustained policy action. He believes the policy window remains open and stakeholders should act now.
Mistral helped a European energy operator migrate 40,000 lines of Fortran 77 to C++, targeting a physics-heavy reservoir simulator without a test suite or centralised documentation. The team first built a numerical-alignment testing framework, used Skill.md to guide agents in exporting state snapshots and validating migrated modules, then launched over a hundred agents with Vibe CLI to analyse call trees and used Mistral OCR to organise scattered documents.
OpenAI released GPT-6 Astra, calling it its most capable enterprise model, with advanced reasoning, computer use and stronger writing and design judgement.
An MIT researcher used GPT-5.6 Sol with Codex to autonomously run quantum computing experiments, analyse results and calibrate qubits.
Google DeepMind launched AlphaGenome Atlas, a platform containing predicted effects for 9 billion single-nucleotide variants across the human genome. At 1 PB, it is over 30 times the size of the AlphaFold Database.
OpenAI explores how more capable, affordable AI expands what individuals and businesses can accomplish and makes growth more economical. It focuses on capability gains and falling costs, explaining their effects on practical work output and business growth.
Mistral announced a €3 billion Series D round at a post-money valuation exceeding €21 billion, led by Samsung Electronics and co-led by Scaleup Europe Fund and PSG Equity. It called this the largest equity financing by a European technology company, funding frontier research, computing, infrastructure and commercial growth. Mistral operates in 20 countries and serves more than 125 global enterprises, including Airbus, ASML and HSBC.
OpenAI released ChatGPT Images 2.5, turning ideas, sketches and reference photos into more personalised, polished images. The company says the results better reflect users’ ideas.