All news briefs
Product update

DeepMind and Isomorphic Labs combine AI efforts for bioresilience

The story in five sentences

  1. Google DeepMind and Isomorphic Labs have presented a joint approach to bioresilience.
  2. The program aims to prevent misuse and strengthen detection and response to biological threats.
  3. The companies report advancing more than 15 partnerships within twelve months.
  4. The projects include biological SynthID watermarking and lower-cost pathogen surveillance.
  5. Several measures remain under development or testing and are not yet demonstrated real-world successes.

Full explanation

Google DeepMind and Isomorphic Labs organize their bioresilience approach around prevention, detection, and response. The goals are to make misuse more difficult, improve identification of biological threats, and strengthen the ability to react. The companies report more than 15 partnerships advanced over twelve months, although the announcement does not fully disclose every partner or result.

The safety process uses threat modeling, evaluation, mitigation, and monitoring. One project applies the SynthID concept to DNA synthesis so that risky AI-generated sequences could be watermarked, but this work remains in development. AlphaEvolve is being used to optimize analysis of metagenomic sequencing data. Uses of AlphaGenome and protein annotation are also being explored.

The response work includes controlled access for trusted researchers developing vaccines. Isomorphic Labs contributes a dedicated unit centered on its drug-design engine. The program is framed as a long-term effort connected to the CBRN section of the Frontier Safety Framework. These initiatives describe intended capabilities and ongoing trials, not proof that the safeguards and response systems have already delivered established operational results.

Privacy setting

May we measure pseudonymous page views and session replays?

With your consent, PostHog EU measures which pages are opened and additionally records your session: mouse movement, clicks, scrolling and the rendered page content are stored as a replayable reconstruction. Typed input is masked before sending. The contents of sign-in, sign-up, password recovery, the founder chat, the newsletter field, your email display, your quiz answers and the checklists are not recorded at all; on the sign-in and sign-up pages recording is paused. Addresses are always stored without query parameters. A random device identifier and technical connection data such as the IP address are processed as well. In addition, strictly defined usage events are measured: how far a post was read, which article element was used, which call to action was clicked, how a newsletter sign-up ended, how far you get in a course or in the feed (recording only whether a task was correct or incorrect, never your answer itself), which video you start, whether you switch the language, and how a sign-in or sign-up attempt ended — without the email address, without the password, and without the error message. Only values from a fixed list and whole numbers from fixed ranges are transmitted — no input and no free text. We also label production, internal, and automated test visits separately and derive whether a visit came from a known interface such as ChatGPT, Claude, or Perplexity from a known referring domain or a strictly allowed campaign value. The full referring address and query parameters are not sent, and this cannot identify a specific AI model. If PostHog's IP-based geo enrichment is enabled in the project, the service can derive an approximate country, continent, and region; we do not request browser or GPS location. Every visit is also assigned to a page area from a fixed list (for example home, blog, tools, account) — the area is sent, not the address. Page loading and stability metrics are measured as well (Core Web Vitals: LCP, CLS, INP, FCP), without network payloads. A click on a link leading away from the site is recorded only as the target domain from a fixed list, without path, query parameters, or link text. For the Idea Wheel, AI Labelling and Limit Reset tools only the kind of action is measured — spin, option changed, copy or export, for instance — never your input and never a result. Learn more about privacy

Without your consent no analytics code is loaded and nothing is recorded. You can withdraw at any time: withdrawal ends collection immediately; data already collected may have been transmitted by then and is deleted after the storage period.