Tech & AI Monday, 5 October 2026 · AI-generated content, without human review

Anthropic opens up to voice collection to train Claude

The company introduces an optional feature to share audio and spoken conversations, separate from the consent already required for text

Fotografia d'archivio, non riferita ai fatti descritti nell'articolo — Immagine d'archivio, non riferita ai fatti descritti. Foto di Solen Feyissa su Pexels

Anthropic has introduced a new option for Claude users concerning voice. Those who use the assistant in voice mode can now choose to share their recordings and audio conversations so that the company can use them to improve its models. The feature is not active by default: explicit opt-in is required from the person using the service.

The most significant choice, from the standpoint of those managing their own data, concerns the separation introduced by Anthropic between the different types of content generated while using Claude. Authorization to share voice recordings is distinct from that concerning text conversations and from Claude Code sessions, the company’s tool dedicated to code writing. A user could therefore, in theory, authorize the use of their spoken input without this automatically implying consent for the texts exchanged with the assistant, or vice versa.

The move fits into a broader industry trend: companies developing large language models are constantly seeking new data sources to train subsequent versions of their systems, and audio represents a category that has so far been less exploited compared to written text, which is available in enormous quantities thanks to decades of digital content. Voice recordings make it possible to train models on nuances that text does not capture: intonation, pauses, ways of expressing oneself that change depending on the spoken context.

It remains to be seen how many users will be willing to voluntarily activate this sharing, given that the feature requires an additional step beyond simply using the service. The news currently comes from a single source (Anthropic press release reported by Quotidiano Nazionale); no independent confirmation is currently available on details such as the number of users involved or the timeline for implementing the feature.

The topic nonetheless fits into a broader debate on the relationship between conversational assistants and personal data: the distinction between separate consents for voice, text and code is one of the few concrete measures adopted so far by a major company in the sector to fragment, rather than aggregate, the authorizations required of users.

Google launches Gemini 4 Argon, for now reserved for cybersecurity experts

Google's new model generates up to one million tokens but remains, for the moment, outside public access: it is being tested only by selected cybersecurity experts, just days after the debuts of OpenAI and Anthropic.

Google has launched Gemini 4 Argon, a model with an output generation capacity of up to one million tokens, among the highest in the industry according to reports. The model will not be available to the general public for the time being: it is being distributed to a selected group of cybersecurity experts and used internally by Google.

The launch comes just days after the debut of OpenAI’s GPT-6.1 Sol and Anthropic’s Claude Opus 5.5, in a phase of intense competition among the leading companies in the artificial intelligence sector. Three flagship models, from three different companies, within the span of a few days: a pace of announcements that testifies to how fierce the race for models with increasingly wide context windows has become in recent times.

The choice to limit access to a restricted audience of cybersecurity professionals distinguishes this launch from traditional ones aimed at general users: Google appears to be prioritizing, at least at this stage, targeted testing on cybersecurity applications before any broader rollout. It is not clear, at the moment, how long this restricted phase will last nor what criteria will determine any extension of access to a wider pool of users.

The output generation capacity of up to one million tokens places Gemini 4 Argon among the models with the widest windows available today, a feature that is particularly useful for analyzing large amounts of code or security logs, areas in which cybersecurity experts are typically involved in testing.

The news currently comes from a single source, Google’s press release picked up by two outlets; no independent confirmation is currently available regarding the timing and methods of a possible extension of access.

Access to a model capable of generating up to one million tokens thus remains reserved for cybersecurity experts, while the rest of the market observes the close-together debuts of OpenAI and Anthropic in recent weeks.

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