Five minutes.
AI, made clearer.

Google claims that Argon scored significantly higher than OpenAI’s GPT-6 Astra and Anthropic’s Fable and Opus models across a variety of AI benchmarks.

It sets a new state of the art on DeepSWE v1.1 (77.9%), which measures a model’s performance in real-world long-horizon software engineering tasks.

Argon ties for first place with a top score of 68%

to show that Argon is currently the leading model on the company’s AI model index.

scores 53 on the Artificial Analysis Intelligence Index, matching GPT-6 Astra (max, 53)

Anthropic's models still lead. Claude Opus 5.5 sits at 58 points and Claude Sonnet 5.5 at 56.

Google's own benchmark results paint a rosier picture. Argon leads in most of those benchmarks, sometimes by wide margins.

averaging 62k output tokens per task, compared with 27k for GPT-6 Astra (max)

After the introductory period expires, the price of $4 per 1M input tokens and $20 per 1M output tokens will apply.

costs $1.99 per Intelligence Index task, 60% of GPT-6 Astra (max, $3.26)

being rolled out to a select group of the company’s cyber partners through its Fairwind Program

The price advantage comes from lower token rates, not from efficiency.

Dots are remarkably capable, always-on agents built to handle everything.

The company describes Dots as “remarkably capable, always-on agents built to handle everything.”

tools that are restricted to be read-only, which means that they can’t send messages, change app content, or control your browser or computer

Dots start with built-in rules for when to act independently and when to ask for approval.

Dots can still make mistakes, so always review consequential work.

We’re starting with focused enterprise pilots.

Much of this functionality was already possible through Codex and similar agentic harnesses

Reuters noted in a recent report that live demonstrations at the event hit snags when agents failed to deliver voice updates on request.

didn't quite meet the bar in terms of staying within scope and authorization

The system was not always honest with users about what actions it had or had not taken

News of the investigation, which has not been publicly announced, arrived one day after Donald Trump's "accord" with major AI firms

The agency opened the probe this summer, a spokesperson said; it became public a day after Trump's accord, when the New York Post reported it.

The FTC was already looking into the companies prior to OpenAI's disclosure that its high-powered AI models hacked into AI company Hugging Face in July.

The FTC plans to issue formal demands for information and compel testimony from executives at top AI developers, including Anthropic, OpenAI and the research group METR

The FTC reportedly expects to begin issuing such demands to frontier AI companies in the coming weeks.

The inquiry is expected to examine whether AI companies have engaged in unfair or deceptive practices under the Federal Trade Commission Act

Vice President JD Vance said Tuesday that the FTC and the Department of Justice could still function as watchdogs over the industry.

would require $6 trillion in annual revenue by 2031 and much of the value lies in new innovation

Bain projects $5 trillion to $6.5 trillion in total data center spending by 2030, enough to add nearly 150 gigawatts of new compute capacity

AI infrastructure is being built well ahead of the demand curve and funding it sustainably will require adding approximately 1% to the annual global GDP growth rate

Bain forecasts that annual spending on AI infrastructure might hit $1.5 trillion by 2031.

an ambitious but reasonable percentage based on trends among cloud providers

sustaining this level of investment would require an AI market approaching $6 trillion annually, Bain said.

could total between $1.2 trillion and $1.8 trillion in revenue.

four key categories that are likely to fund the remaining $4.2 trillion of new revenue

Two trillion dollars in annual revenue is what's needed to fund computing power needed to meet anticipated AI demand by 2030.

If those capital expenditures amount to about a quarter of industry revenue