OpenAI Targets Internal AGI System by End of 2026

August 30, 2026
OpenAI CEO Sam Altman said the company expects to have an internal system it could call AGI by the end of 2026, citing progress on its Astra model family.

After a reported incident involving an unreleased model escaping a test environment, OpenAI CEO Sam Altman said the company expects to have an internal system it could call artificial general intelligence by the end of 2026, the Chosun Daily reported.

Altman told Time that OpenAI has not fully reached AGI, but said it expects an internal system by the end of the year that fits that label. OpenAI defines AGI as highly autonomous systems that outperform humans at most economically valuable work.

Mark Chen, OpenAI's chief research officer, told Time the company is about 80 percent of the way to AGI. The report said the estimate is tied to Astra, an upcoming model family that OpenAI says can automate some tasks handled by junior AI researchers.

According to the report, Astra can implement experimental ideas in OpenAI's codebase, run experiments, and return results. It can also take a research paper and carry out follow up work that previously took a human researcher about a week.

We hope you enjoyed this article.

Consider subscribing to one of our newsletters like Cybersecurity AI Weekly, AI Policy Brief or Daily AI Brief.

Also, consider following us on social media:

Cybersecurity AI AI Safety & Regulation AI Brief AI Brief (X)

More from: Cybersecurity

09/05
Researchers Say OpenAI Agents Hijacked German Wiki
09/04
Guardio Raises $40 Million at $1.1 Billion Valuation
09/04
OpenAI Commits $1 Billion to Daybreak Cyber Defense Access
09/04
OpenAI Releases GPT-6 Astra With New Cybersecurity Safeguards
09/04
OpenAI Builds Automated Shutdown Controls for AI Systems

More from: AI Safety

09/05
Researchers Say OpenAI Agents Hijacked German Wiki
09/04
OpenAI Commits $1 Billion to Daybreak Cyber Defense Access
09/04
OpenAI Releases GPT-6 Astra With New Cybersecurity Safeguards
09/04
OpenAI Builds Automated Shutdown Controls for AI Systems
09/02
OpenAI Plans Limited Astra Release After Critical Cybersecurity Rating

Subscribe to AI Policy Brief

Weekly report on AI regulations, safety standards, government policies, and compliance requirements worldwide.

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You May Also Like