How Cooley accelerates IPO work with ChatGPT
Cooley built GO Public on ChatGPT Work, bringing AI capabilities into the IPO process to help lawyers spot issues earlier and focus their judgment where it matters most.

Cooley built GO Public on ChatGPT Work, bringing AI capabilities into the IPO process to help lawyers spot issues earlier and focus their judgment where it matters most.
Using the GitHub Copilot app and Copilot CLI, GitHub completely rewrote the Copilot agent runtime from TypeScript into more than 800,000 lines of production Rust. AI agents wrote most of the code, merged incrementally into main across 128 pull requests rather than in a single cutover.
Why it matters: Drawing on firsthand experience, the author reviews the 800,000-line Rust rewrite and shares agent-orchestration and review practices that can be reused.
OpenAI has launched OpenAI for Law, offering the legal industry frontier intelligence, law-firm-customized workflows, access to legal data sources, and legal-grade controls for confidential client work.
OpenAI has published a framework for tracking, investigating, and disclosing model misalignment, along with six reports about unexpected or concerning model behavior.
Why it matters: OpenAI has made public a framework for tracking and disclosing model misalignment, together with six incident reports that show how it approaches alignment disclosures.
OpenAI and AARP are partnering to offer free hands-on ChatGPT workshops to 1,000 older adults in 10 U.S. cities, helping them build practical AI skills safely.
NVIDIA submitted preview results for Vera Rubin NVL72 for the first time in MLPerf Inference v6.1, reporting up to 3.7× the throughput of GB300 NVL72 on Qwen3-VL and up to 2.5× on DeepSeek-R1.
Why it matters: MLPerf Inference v6.1 reports throughput, scaling efficiency, and software-optimization gains for Vera Rubin NVL72 versus GB300 NVL72, offering a basis for judging inference infrastructure value.
Emerald AI, Google, and NVIDIA have announced the AI Energy Management Alliance (AEMA), which aims to help data centers adjust power use dynamically to grid conditions. The alliance uses technology-neutral, performance-based requirements focused on measurable factors such as response speed, duration, predictability, and emergency behavior. It also sets out pre-interconnection load-reduction and emergency-response obligations, common technical standards and data sharing, faster paths to grid connection, and cost allocation based on actual system impact.
OpenAI has introduced new AI-powered advertising experiences, including Sponsored Agents and tools for marketers, with HubSpot and Shopify integrations.
OpenAI explains how analytics in ChatGPT Work and Codex can help teams understand AI usage and spending, identify training needs, and connect adoption to business outcomes.
Mistral has announced a partnership with Mozilla: the beta AI browsing assistant Firefox Smart Window is now powered by Mistral models. It helps users understand complex searches, find pages they previously visited, and organize information from browser tabs.
Why it matters: Mistral and Mozilla are bringing open models into a browser entry point, offering a view of how open models may reach consumer users.
Hex's data agent uses GPT-6 Astra to turn analytical answers into interactive visual reports that employees can share.
OpenAI economic research finds that employees are using AI beyond the traditional scope of their roles, with some new activities becoming regular parts of their work.
A University of Manchester team trained a UK-wide air-pollution model using Earth-2 CorrDiff, a generative model from NVIDIA Earth-2. Training took two days on a single eight-GPU node on Isambard-AI, producing forecasts at a resolution of 2–3 square kilometers.
At Salesforce Dreamforce, NVIDIA founder and CEO Jensen Huang appeared alongside Marc Benioff as Salesforce released Koa, its first CRM reasoning model, built on NVIDIA Nemotron 3 Super.
Why it matters: Huang discussed AI safety and shifts in the share of open models at Dreamforce, while the article explains how Salesforce's first reasoning model was trained and when it will be deployed.
Google Research proposes Retrieve-for-Train, a framework that uses offline RL to discover reward-aligned query fan-outs and compile them into supervision, then distills them into a 53.9M-parameter diffusion retriever. At inference, it generates a complete result set in one non-autoregressive pass without chain-of-thought tokens. The method fine-tunes fan-out language models based on Gemma3-4B and Qwen3-4B, using set-level attribute rewards to address paraphrase collapse in zero-shot LLMs and autoregressive latency.
Google DeepMind has released two real-time voice-conversation models: Gemini 3.8 Live for scale and cost efficiency, and Gemini 3.8 Live Extended Thinking for complex tasks and multi-step reasoning.
Why it matters: The two live voice models support parallel reasoning and tool calls and report results on several speech benchmarks, offering a way to assess the limits of voice agents.
At the AI Infra Summit, NVIDIA presented its DSX platform. DSX MaxLPS was validated on Lambda's five-rack, 19-node HGX B200 cluster, where it increased token throughput by 24% under the same power budget—from about 4 million to 5 million tokens per second—and improved performance per watt by 23%.
Why it matters: The article reports DSX MaxLPS measurements on a Lambda cluster, allowing readers to judge possible throughput gains under a fixed power budget.
At the AI Infra Summit, NVIDIA announced several advances in Vera Rubin and its DSX platform, shifting AI infrastructure measurement from peak performance to useful agentic tokens per megawatt.
Why it matters: The article reports several measured token-output figures per megawatt for Vera Rubin and DSX, showing how efficiency metrics for AI factories are changing.
IBM researchers describe new consistency guidelines in altk-evolve, designed to address unstable results when an agent runs the same task repeatedly.
Why it matters: The paper quantifies the gap between Mean@k and Pass^k and shows that consistency guidelines cut it in half, offering a technique for agent-evaluation design.
Children's Hospital of Philadelphia (CHOP) uses MONAI, an open-source medical-imaging framework co-founded by NVIDIA, to turn existing CT, MRI, and 3D ultrasound scans into anatomically accurate pediatric heart models in seconds. The process previously took a skilled researcher four hours.
Using OpenAI models, fine-tuning, and memory, together with real user feedback, Fyxer built an AI executive assistant that organizes inboxes and drafts emails in the user's own voice.
Perplexity uses GPT-6 Astra to draft communications, modify software, and monitor production systems, with far less frequent human review than with earlier models.
GitHub's Japan and Korea marketing lead automated event operations with GitHub Copilot. GitHub Issues serve as work units, issue forms as registration forms, labels as triggers, and Actions as task runners. A single issue automatically sets up an event, screens applicants daily, and handles wrap-up when the event ends.
Cognition uses GPT-6 Astra to improve Devin's ability to test software and verify that it works, with the aim of reducing code review for engineers and speeding 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. The platform meets ChatGPT's online-storage needs at scale.
Google Research proposes ToolGrad, a “answer-first, question-second” approach to generating tool-use data: first create a ground-truth tool-call chain, then work backward to infer the user's prompt, using just one LLM call.
The GitHub Copilot app includes diff, terminal, and browser panels, letting users review, run, and preview AI-agent code changes without leaving the app. The diff panel marks additions in green and deletions in red, and supports accepting changes, commenting, or asking Copilot to revise them. The terminal can run project commands directly and supports switching between multiple windows.
César de la Fuente's lab uses Codex and ChatGPT to search the genomes of living and extinct organisms for candidate antimicrobial molecules to fight drug-resistant infections.
OpenAI has launched Data agent in ChatGPT Work, letting users connect company data and ask AI in natural language to surface insights and build interactive dashboards.
Mistral and Cloudera are partnering to integrate Mistral models into Cloudera's hybrid data platform. Enterprises can run inference in private or public clouds, on premises, or in fully air-gapped environments while retaining full control. They can also train their own models on proprietary data in controlled environments while keeping ownership of both data and models. Cloudera's platform hosts 30 exabytes of customer-managed data.
OpenAI has released ChatGPT for Financial Services, combining built-in financial data with GPT-6 Astra for research, modeling, and customer-facing materials.
Why it matters: OpenAI packages built-in financial data with GPT-6 Astra in an industry-specific version, offering a view into how financial research workflows may change.
OpenAI and the U.S. General Services Administration (GSA) are partnering to offer eligible federal, state, local, and tribal governments $0 license fees, a 50% usage discount, and expanded cybersecurity defense support.
TRL v1.14's AsyncGRPOTrainer can now train and sync only LoRA adapters to vLLM. Rank-1 adapters are just a few megabytes and can be transferred through a Storage Bucket mounted across multiple Hugging Face Jobs, without NCCL.
OpenAI has introduced GPT-Live-1 in its API, giving developers natural full-duplex voice conversations. The model follows instructions more reliably and supports custom voices and telephony integration.
Why it matters: GPT-Live-1 brings full-duplex voice conversation to the API, helping readers assess how to integrate voice apps and the model's capabilities.
Hugging Face has released Workflow1111, using Gradio Workflow to rebuild most AUTOMATIC1111 features on a single workflow canvas.
Why it matters: The article shows how 73 nodes were used to rebuild A1111's features, offering a basis for comparing node-based workflows with ComfyUI.
OpenAI has released the Agents API, a hosted service powered by the Codex harness for building and launching agents in the cloud. It supports orchestration, long-running sessions, and tool calls.
Why it matters: OpenAI is offering Codex's orchestration capabilities as a hosted service, giving readers a signal of how the barrier to deploying cloud agents may change.
Paul Christiano has joined the OpenAI Foundation's board and its Safety and Security Committee. He brings experience in AI alignment, safety, and standards.
OpenAI's Chris Lehane argues that stronger AI capabilities require stronger safety evidence, shared standards, and sustained policy action. He says the current policy window remains open and stakeholders should use it to make progress.
Mistral helped a European energy operator migrate a 40,000-line Fortran 77 reservoir simulator to C++. The codebase had no test suite or centralized documentation. The team first built a numerical-equivalence testing framework, then used a Skill.md to guide agents in exporting Fortran state snapshots and validating them in C++. A custom parser generated the call tree, and Vibe CLI coordinated hundreds of agents with Mistral OCR to fill documentation gaps.
OpenAI has released GPT-6 Astra, which it calls its most capable model for enterprise use, with stronger reasoning, computer use, and judgment in writing and design.
Why it matters: OpenAI's positioning of GPT-6 Astra for enterprise gives readers an update on its reasoning and computer-use capabilities.