Countries get the cabinets they pay for. Singapore pays its Foreign Minister about S$1.1m, around US$800,000. The salary is benchmarked to 60% of the median income of the top 1,000 Singaporean earners. That is why you can get Vivian Balakrishnan, former eye surgeon and hospital chief executive, implementing @karpathy's external brain idea (link below). The speech shows deep understanding of AI and fills one with confidence about Singapore's future. The UK Foreign Secretary earns roughly £165,000: the MP salary plus a ministerial salary of about £67,000. The ministerial part is frozen since the crisis and is down by roughly a third in real terms since 2010. This is what a junior Magic Circle lawyer earns. Spain pays its ministers around €85,000. So you do not get a surgeon who has run hospitals. You get a party loyalist who has never run anything.

110-year-old Turkish grandma shares her secret to a long life: "i never once used Microsoft Teams"

In honour of this milestone, I’m publishing the v/acc manifesto – PopVax's plan to save 1 million lives each year by massively accelerating vaccine development. Read it at the link below: chronicles.popvax.com/p/vacc…

Two view of humanity. From a talk I gave some years ago. Relevant today.

New newsletter: THREE REASONS TO BE A PARENT

We ran a randomized controlled trial to see if LLMs can help novices perform molecular biology in a wet-lab. The results: LLMs may help in some aspects, but we found no significant increase at the core tasks end-to-end. That's lower than what experts predicted. Our findings 🧵

A primer on the Anthropic/DoD situation: DoD and Anthropic have a contract to use Claude in classified settings. Right now Anthropic is the only AI company whose models work in classified contexts. The existing contract, signed by both parties and in effect, prohibits two uses of Anthropic’s models by the military: 1. Surveillance of Americans in the United States (as opposed to Americans abroad). 2. The use of Claude in autonomous lethal weapons, which are weapons that can autonomously identify, track, and kill a human with no human oversight or approval. Autonomous killing of humans by machines. On (2), Anthropic CEO Dario Amodei’s public position is essentially that autonomous lethal weapons controlled by frontier AI will be essential faster than most people realize, but that the models aren’t ready for this *today.* For Anthropic, these things seem to be a matter of principle. It’s worth noting that when I speak with researchers at other frontier labs, their principles on this are similar, if not often stricter. For DoD, however, there is another matter of principle: the military’s use of technology should only ever be constrained by the Constitution or the laws of the United States. One could quibble (the government enters into contracts, like anyone else), but the principle makes sense. A private company regulating the military’s use of AI also doesn’t sound quite right! So, the military has three options: 1. They could cancel Anthropic’s contract and find some other frontier lab (ideally several) to work with. 2. They could identify Anthropic a supply chain risk, which would ban all other DoD suppliers (I.e.: a large fraction of the publicly traded firms in America) from using Anthropic in their fulfillment of DoD contracts. This is a power used only for foreign adversary companies as far as I know. Activating this power would cost Anthropic a lot of business—potentially quite a lot—and give investors huge skepticism about whether the company is worth funding for the next round of scaling. Capital was a major constraint anyway, but this makes it much harder. This option could be existential for Anthropic. 3. They could activate Title I of the Defense Production Act, an authority intended for command-and-control of the economy during wars and emergencies. This is really legally murky, and without going into detail, I feel reasonably confident this would backfire for the administration, resulting in courts limiting the use of the DPA. Option 1 is obviously the best. This isn’t even close, and I say this as someone who shares DoD’s principled concerns about the control by private firms over the military’s use of technology. Even the threats do damage to the US business environment, and rightfully so: these are the strictest regulations of AI being considered by any government on Earth, and it all comes from an administration that bills itself (and legitimately has been) deeply anti-AI-regulation. Such is life. One man’s regulation is another man’s national security necessity.

Every word of this, yes. By @tylercowen

As a new parent, I spend a lot of time changing diapers and feeding the baby. 15 months ago I wasn't doing any of this. I felt busy then too, so where did all this childcare time come from? I analyzed the Census Bureau's American Time Use Survey to find out how most parents do it. The answer: less sleep and less screen time. The funny thing is, parents report being pretty happy about this tradeoff.

Lilly hit $1T market cap this week, ~80% based on GLP1s this is the first existence proof that medicines that create health for ~everyone are among the most valuable products possible we will see more of these in the coming decades as preserving health is unlocked technically

We’re launching our Claude for Life Sciences initiative today, including new bioinformatics Skills, and new MCPs from @benchling, @BioRender, PubMed, @WileyGlobal, @Sagebio, @10xGenomics and more: anthropic.com/news/claude-fo…

A small primer on this #NobelPrize award today. This prize was for combining two separate fields of immunology research - genetic research on IPEX and immunology research of regulatory T cells (#Tregs), with enormous impact on biology/medicine

The EU's initial appeal of seamlessness is a tourist's delight but a founder's nightmare You might get the same currency and border less travel but there is no real common market to be found Luis Garicano explain the myth of the single market (excellent substack btw)

This is a good explanation for the many miserable PhD students I saw. Many arrived in a PhD with a long string of doing well in test/assignments/exams/projects (school - undergrad - masters) and then found none of those rewards signals in the long days of a PhD

with AI taking off, creativity matters more than ever i'm working on a talk on why we should all be more like Rick Rubin, slides below: