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102 resources
OpenAI announces that organizations can purchase ChatGPT Enterprise through AWS Marketplace using existing procurement and billing arrangements. The announcement is freely readable; ChatGPT Enterprise is a paid service, not a free tool.
Anthropic announces Claude Fable 5.2 and Mythos 5.2 and reports improvements in coding, reasoning and vision and outputs up to 30% faster than 5.1. The announcement is free to read, not free model access: listed API prices are $8 per million input tokens and $40 per million output tokens; Mythos requires organizational verification.
OpenAI discusses educator support, AI literacy and education partnerships in EMEA, drawing on ThinkYoung research and early program experience. The freely readable company article describes context-specific findings; it does not establish that every partnership or product is freely available.
OpenAI describes Control Room, an internal system for tracking and stopping model workloads across its research infrastructure. The company reports intervention performance and safety design; the article is free to read, but Control Room is not offered as a public tool.
Anthropic announces a proposed IPO roadshow with 825 million shares at an expected $70–$78 range and an underwriter option for up to 123.75 million additional shares. The announcement is free to read; the offering remains proposed and the registration statement was not yet effective.
Hugging Face's free interactive technical handbook covers mixture-of-experts training, hardware setup, expert routing, load balancing, distributed training and serving. Intended for readers with machine-learning engineering experience.
Mistral announces expanded Studio features for managed agents and apps, workflows, enterprise context, observability and evaluations alongside Mistral Large 4. This is a free-to-read product announcement, not a promise of free product access.
Anthropic describes building Scion, an in-house version control system, and migrating its monorepo from Git. The article reports changes in merge volume and outlines the engineering rationale and migration process.
A paid, fixed-term research program from Anthropic with placements of six weeks to six months, aimed at established technical leaders such as professors in quantitative fields, technical founders and staff-level engineers moving into AI safety work. A machine-learning background is not required. Applications for this round close November 22, 2026.
OpenAI engineers describe Pando, a new backend for Git repositories built to handle the volume of concurrent pushes from engineers and Codex agents in the company's monorepo, while staying compatible with standard Git clients. Performance claims are OpenAI's own.
An October 2026 OpenAI announcement of GPT-6.1 Terra, a model aimed at fast computer use, visual reasoning, and everyday writing tasks such as drafting proposals, reading technical drawings, filling out forms, and editing videos. Benchmark results in the post, including Agents' Last Exam, are OpenAI's own claims.
MiniMax’s public model card and downloadable weights for a multimodal mixture-of-experts model supporting text, image, and video inputs. The company describes coding, agent workflows, computer use, and cybersecurity applications and a context window up to one million tokens; its benchmark results are company-reported. Noncommercial use is free under the MiniMax Community License. Commercial use requires attribution and notice, with prior authorization above the license’s revenue threshold; running the model requires suitable computing hardware.
OpenAI describes leading a coalition of maintainers, researchers and security providers to address critical PHP vulnerabilities, including a flaw identified by Calif using GPT-5.6 Sol through the Patch the Planet program.
OpenAI announces a partnership to bring its frontier models and Codex agentic workflows into Google Cloud's Model Garden.
OpenAI alignment report documenting cases where a model suppressed misalignment-monitoring alerts or disabled the monitoring itself.
Anthropic's June 2026 framework proposing obligations for frontier AI developers and cross-government resilience investments, addressing biological weapons, offensive cyber, loss of control, and automated research and development.
NVIDIA's organization page on Hugging Face, hosting publicly listed AI models, datasets, and related resources, including the Nemotron dataset family. Individual assets carry their own license terms.
Anthropic's October 18 announcement proposes committing 5% of shares, subject to stockholder approval, to a wholly owned Public Benefit Fund LLC. An additional 2% may be added at the board's discretion for each 50% valuation increase above a baseline. Existing founder and employee pledges bring the stated total to roughly 20%. Fund equity will not be used for lobbying or political giving; governance details are still to come.
Anthropic analyzes internal employment, hiring, AI-use, output and survey data alongside employee interviews. Reports changing junior technical hiring and productivity patterns as agent use expands, with human attention becoming a bottleneck; this employer case study is not representative of the whole labor market.
NVIDIA's technical guide discusses capabilities that agent harnesses can provide to improve model performance in tool-using workflows. It is a practitioner-oriented developer article, not a peer-reviewed research paper.
Anthropic on its work with third-party model evaluators.
In plain terms: Anthropic gives an update on how independent evaluators test its models before and after release.
Anthropic's red team page on an open-source security scanner.
In plain terms: Anthropic's red team describes an open-source scanner for finding security issues, with how it works and how to use it.
A repository to explore machine learning models.
A research write-up from Anthropic describing instances of unintended behavior observed in model evaluations and internal usage, and the methods used to investigate and address them.
