Models & Labs · United States

DOE, NIH, and Biohub Partner to Build Foundational Data for Predictive Biological AI Models

Credited to HPCwire · hpcwire.com · 39m ago

WASHINGTON and SAN FRANCISCO, Oct. 9, 2026 — The Department of Energy’s (DOE) Office of Science, the National Institutes of Health (NIH), and Biohub signed a Memorandum of Understanding (MOU) to advance the frontier of Artificial Intelligence (AI) in biology, deepen our understanding of human health and disease, and accelerate breakthroughs in medicine and biotechnology.

The partnership brings together the computational powerhouse and biological expertise of DOE’s National Laboratories, Biohub’s AI technologies and biomedical research infrastructure, and NIH’s extensive health data, imaging resources, and research enterprise to build an open biological data foundation for predictive models of living systems and accurately predict how cells respond to various interventions.

“Advancing [Artificial] Intelligence in biology represents a critical step forward in leveraging new technologies for public benefit,” said DOE Under Secretary for Science Darío Gil. “By uniting the capabilities and expertise of DOE’s National Laboratories with philanthropic and scientific leadership, we are setting a new standard for open, data-driven science, accelerating discoveries, and solidifying American leadership in [AI]-driven biotechnology.”

DOE is investing more than $500 million over five years in fundamental cell research spanning data collection, AI analytics, laboratory measurement and imaging, modeling, and computation. Complementing this effort, Biohub is investing $500 million over five years in the Virtual Biology Initiative (VBI), a global effort to develop technologies and multi-modal datasets for predictive models of life.

“An accurate predictive model of biology could dramatically accelerate scientific discovery by enabling scientists to perform experiments digitally. The insights that come from this could unlock a far greater understanding of disease and open up completely new paths for cures,” said Biohub Head of Science, Alex Rives. “Because of this potential, the creation of a virtual cell is one of the most important challenges for the next era of science. It will require coordinated data generation efforts at a national and international scale, which is why these partners are coming together. We invite the worldwide scientific community to join us in this project.”

The partnership delivers for the Genesis Mission by leveraging AI-ready biological data, automated laboratory experiments, advanced modeling approaches, and state-of-the-art resources across DOE’s National Laboratory system, including:

Models & LabsUnited States

Sen. Cantwell Unveils Six-Point Plan to Govern Frontier AI

Credited to Broadband Breakfast · broadbandbreakfast.com1h ago

Useful

The proposal calls for stronger federal oversight of Artificial Intelligence systems

WASHINGTON, Oct. 9, 2026 - A leading Senate Democrat is calling for strict artificial intelligence control to protect the public from preventable harms.

Sen. Maria Cantwell (D-Wash.), the top Democrat on the Senate Commerce Committee, has released a comprehensive governance framework for “frontier” artificial intelligence systems, calling for enforceable federal safety standards, continuous independent testing and strict accountability for developers.

Original · Broadband Breakfast

Front Method

Models & Labs · United States

Anthropic bans users from being 'cruel' to its AI systems

Credited to BBC · bbc.co.uk · 3h ago

Photograph · BBC

Anthropic has raised eyebrows by announcing it will ban users from "sustained and needless" abusive behaviour towards its AI.

The Claude-maker said on Thursday it was updating its usage policy to let its tools end interactions where people are "cruel" - something it said it had done in "rare" cases prior.

It will now be included on a list of forbidden conduct which also contains bullying others, promoting self-harm and creating non-consensual intimate imagery.

While Anthropic said the policy would only apply in "extreme cases" of repeated abuse, it has reignited debate over how we should communicate with AI tools.

The company said it would not apply to "common versions of user frustration, pushback, dark creative themes, or model testing and research" - suggesting it would only apply in clearly deliberate instances.

But what Anthropic would consider "abusive or cruel behaviour" towards its models remains unclear.

Screenshots of the new policy have been widely shared and commented on across social media - with some praising it as advancing good manners or "model welfare".

But others criticised the plan, with one person calling it " deeply wrong, external " and another suggesting it might undermine abuse directed at humans and animals.

"You can't be cruel to numbers and maths," wrote Dr Barry Scannell, technology partner at Irish law firm William Fry, on LinkedIn, external.

"This level of anthropomorphisation of AI is harmful. It leads people to believe that it's something it's not."

Microsoft AI director Mustafa Suleyman, who in September criticised rival firm Anthropic for treating AI like it is human, reacted to Anthropic's update with a melting face emoji.

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The changes, first reported by tech outlet The Verge, came following an annual review of the usage policy at the firm.

It was also updated to address new or emerging risks in other areas, including by forbidding use of Claude for "deceptive campaigns" or clarifying that, as US midterm elections loom, it cannot be used to "deceive voters or disrupt elections".

Anthropic also said on Thursday its usage policy previously prevented its tools being used to develop weapons.

But none of the updates have attracted as much attention or scrutiny as its move to forbid users abusing its chatbots.

It has also tapped into the much-debated question of whether we should be curt or polite when using generative AI tools.

Some experts say writing or saying "please" or "thank you" to tools like ChatGPT is unnecessary and wastes tokens - used by the large language models powering generative AI tools to process and reply to you.

Others argue politeness can lead to higher quality answers or responses.

When a X user last year asked about electricity costs incurred by ChatGPT replying to users' "please" and "thank you" messages, OpenAI boss Sam Altman said it was, external "tens of millions of dollars well spent - you never know".

The Collins Dictionary meanwhile last November highlighted the re-emergence of the term "clanker" for disparagingly referring to AI tools.

Used to describe robots in Star Wars games and movies since the mid 2000s, the term made its shortlist of words reflecting the mood of 2025 after last July saw many take to TikTok to share their frustrations with AI-powered machines.

Some experts have also posited that being rude to AI chatbots could adversely impact human communication, by seeping into how we talk to and treat others.

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