What's new in AI governance, safety, jobs and society

AI will create more jobs than it eliminates, generating 10.6 million new jobs, while removing 8.9 million jobs worldwide by 2030.

Australian authorities need to be able to require AI companies to report serious incidents promptly and open their models to independent testing.

“Frontier models transcend national borders in their development, deployment and impact, and their opportunities and risks are therefore inherently global. [...] The deployment of rapid alert systems, building on relevant existing incident-response a...

I think at some point it will become politically obvious that there is only one way forward: passing a law that says you may not build AI systems exceeding a certain level of capability until you prove they are safe.

Leading researchers warn that only binding national and international rules can keep AI under human control.

AI agents can write migrations, but production changes need guardrails. This live demonstration walks through an agent-assisted PostgreSQL workflow using Tiger Cloud and the Tiger CLI: provisioning an isolated development service, generating versione...

These models lack bodily experience, understanding the world largely through statistical associations. To advance embodiment in artificial intelligence and achieve genuine world comprehension, we posit that models must move beyond token associations ...

While Anthropic detected and investigated these activities because the actors used its closed-weight model subject to the company’s safety guardrails and misuse monitoring, allowing Anthropic to terminate access, these reports also provide a window i...

Transparency labels should be legally required for synthetic (AI) content in electoral communications such as ads.

Universal Basic Capital (UBC) distributes ownership stakes in productive assets — such as equity in companies, funds, or infrastructure — directly to citizens, rather than relying solely on wages or government transfers to spread economic gains. [......

As I see it, solving alignment for LLMs isn’t just impossible, it’s incoherent: we can’t even articulate what it would look like to succeed.

If Anthropic was just one voice among many, this would not matter. But given its market-leading position and the risk that the industry develops as an oligopoly, society as a whole may wish to have some say over what is good for it. There are ways to...

To get from today’s AI to human extinction requires a long chain of assumptions. [...] Luckily, none of the steps on this list have come to pass yet. [...] However, something being difficult to disprove does not make it likely. [...] Possibility is b...

We can put these companies on notice that they’re going to be evaluated by folks that understand the process, that understand the technology, and will be transparent and hold them accountable so that they create safe products, and they don’t send out...

Machines are tools, not persons. Today, some propose granting these systems rights, or even legal personhood. Such an approach risks obscuring human responsibility and leaving those who suffer harm to confront a faceless entity.