How a Frontier Model Gets Built, Read from the Kimi K3 Report

How to Choose Between Small and Frontier Models

The rise of small language models The post How to Choose Between Small and Frontier Models appeared first on Towards Data Science .

How to Maximize GPT-6 Astra

The article titled "How to Maximize GPT-6 Astra" shares the author’s first impressions of OpenAI’s new frontier model. It discusses initial experiences and observations with GPT-6 Astra, offering insights into its capabilities and potential applications. The post was originally published on Towards Data Science.

Introducing the Model Spec

Model Distillation in the API

Fine-tune a cost-efficient model with the outputs of a large frontier model–all on the OpenAI platform

Five Questions About Chronos-2, the Time Series Foundation Model

Part 1: A practitioner's walkthrough of univariate, multivariate, covariate-informed, and cold-start forecasting. The post Five Questions About Chronos-2, the Time Series Foundation Model appeared first on Towards Data Science .

Five Ways to Fine-Tune Chronos-2, the Time Series Foundation Model

In Part 1 of this series, we introduced Chronos-2, a time-series foundation model. We got our hands dirty by walking through a real case study and saw what Chronos-2 can do straight out of the box, with no training.

Frontier Model Forum updates

Together with Anthropic, Google, and Microsoft, we’re announcing the new Executive Director of the Frontier Model Forum and a new $10 million AI Safety Fund.

State of Open Models: Summer 2026 Observations

Introducing GPT-6 Sol and Luna

OpenAI introduces GPT‑6 Sol and Luna, two new models designed to bring frontier intelligence to everyday work. The models offer different balances of capability and cost, allowing users to choose the level of performance that best fits their needs.

FrontierFinance: A Challenging Benchmark for Measuring Frontier Intelligence of Finance Agents

arXiv:2608. 11683v1 Announce Type: new Abstract: AI agents are increasingly deployed for professional investment research, yet no benchmark captures the complexity of the full investor workflow.

Frontier Lag: A Bibliometric Audit of Capability Misrepresentation in Academic AI Evaluation

arXiv:2605. 04135v2 Announce Type: replace-cross Abstract: Readers of applied-domain LLM capability evaluations want to know what AI systems can currently do.

How frontier firms are pulling ahead

OpenAI’s B2B Signals research shows how frontier enterprises deepen AI adoption, scale Codex-powered agentic workflows, and build durable competitive advantage.