Protect health, save hard, buy AI-exposed assets (big tech, chips, energy), take 30yr fixed mortgages (boom inflates the debt away), follow AI forecasters (Aschenbrenner, Zvi, Dwarkesh), stock a rural retreat with months of supplies, start long processes now (citizenship), delay rest 3yrs

IMPORTANT UPDATE:

NEW: malware developers added nuclear & biological weapons text to to their spyware. Goal? To trigger LLM safety refusals... so that their spyware wouldn't be analyzed by an AI security scanner. Cleanest practical example I can think of for why over-indexing on first order safety alignment is risky. When closed (and open) models ship with aggressive refusals, they will be sprinkled with second-order blindspots that attackers will discover...and exploit. We are only in the earliest days of attackers leveraging these features, and it wouldn't surprise me if users systems that need to handle complex cybersecurity issues demand that models be less safety-blunted. In the weeds: @SocketSecurity's post also shows why intention matters in how you design a malware analysis pipeline to avoid prompt manipulation. H/T to colleagues that shared this with me socket.dev/blog/mini-shai-hu…

In medieval times, within the arms race of ever more demonic torture devices, some sadistic genius came up with the idea of the Little Ease. This was a prison cell built so small in every dimension that a grown man could not stand upright in it nor lie down at full length nor properly sit. The pain is relentless and without relief and inflicted by one's own body. Prisoners were known to go insane within a few days. A stay at the Little Ease was considered even more cruel than the rack, the thumbscrew, and the other ghoulish machinery of the Tower of London. A breeding pig will spend her whole life in a version of that box. These are social, roaming creatures (more intelligent than dogs) who will never leave this corset of steel. They have been selectively bred to be bigger than their frames can support. Yet we put them in cells so confined that they cannot comfortably sit, and their attempts to do so (for example, by sneaking their limbs into adjacent stalls) reliably lead to fractures and sprains. They cannot sweat, yet have nothing to roll around in to cool themselves off. Except their own manure, which (contrary to the common misconception) they are so averse to (thanks to their strong sense of smell) that new sows will often suffer from constipation to avoid soiling the space from which they eat and sleep. Here is how the writer Matthew Scully described what saw at one of Smithfield’s “gestation barn”: > “Sores, tumors, ulcers, pus pockets, lesions, cysts, bruises, torn ears, swollen legs everywhere. Roaring, groaning, tail biting, fighting, and other “Vices,” as they’re called in the industry. Frenzied chewing on bars and chains, stereotypical “vacuum” chewing on nothing at all, stereotypical rooting and nest building with imaginary straw. And “social defeat,” lots of it, in every third or fourth stall some completely broken being you know is alive only because she blinks and stares up at you … creatures beyond the power of pity to help or indifference to make more miserable, dead to the world except as heaps of flesh into which the [insemination] rod may be stuck once more and more flesh reproduced.” — The Save Our Bacon Act is trying to unroll the few state protections we have against this barbaric cruelty - for example California’s Prop 12 - which banned the sale of pork from pigs kept in gestation crates. It’s incredibly important we don’t end up with this sort of federal preemption. SOB will not only kill the most important animal welfare related laws in the US of the past decade, but more importantly, it will also restrict ALL future legislative progress (aka how the animal welfare movement has gotten its biggest wins). The Senate is currently deciding whether to add the SOB Act to the Farm Bill. With relatively little money now, we can discourage the most pivotal senators in the Ag committee from backing this amendment. Defeating this bill is even more important given the amount of philanthropic funding I expect to come online in the next year or two. It will plausibly be over 10x more expensive to repeal SOB than to prevent it from passing in the first place. All that money that could be spent transforming our society's relationship to mass animal suffering will instead have to be spent just getting us back to where we are right now. That's why money spent now fighting this bill (and I mean right NOW) is so effective. If you’re in a position to donate six figures, please DM me.

The new reaction video garbage on this site needs to be nuked

Three powerful pieces on the Save Our Bacon Act dropped this weekend: from @NickKristof, @kathleenparker, and @Noahpinion. This is much needed. The mainstream media has been silent on what may be the greatest legislative threat to animal welfare in a generation. There's been a grassroots revolt against the Act on X -- led by conservatives. But only one network has covered it: Fox, thanks to @TomiLahren. This is exactly what the pork industry wants. It knows the Act is deeply unpopular. Its paid-for politicians can only pass it if they're never forced to defend it publicly. They were hoping you wouldn't notice. They're now hoping you'll stay quiet. Prove them wrong.

What happens when you post a real Monet and say it’s AI? The coolest art social experiment I’ve seen in a while. Thank you @SHL0MS

New Anthropic research: Natural Language Autoencoders. Models like Claude talk in words but think in numbers. The numbers—called activations—encode Claude’s thoughts, but not in a language we can read. Here, we train Claude to translate its activations into human-readable text.

Head of the Council on Foreign Relations mocking Anthropic’s Dario Amodei urgently pleading for people to take AGI’s impact on humanity seriously. (March 11, 2025)

openai․com was once the personal homepage of a guy named glenn (2001), and tiktok․com was the quaint shared homepage of a couple who went from dating to married with a baby (~1998-2001). THREAD!!!

I've spent the past few weeks reading 100s of public data sources about AI development. I now believe that recursive self-improvement has a 60% chance of happening by the end of 2028. In other words, AI systems might soon be capable of building themselves.

Non-vegan leftists hate veganism because it's the one "morally correct" position you actually have to put effort into and can't just virtue signal (ie anti-fascism, anti-billionaire, anti-racism pro-LGBTQ).

Here's an updated version, which is better at comparing apples to apples:

Distilled recap of the back-and-forth with Jensen on export controls: Dwarkesh: Wouldn’t selling Nvidia chips to China enable them to train models like Claude Mythos with cyber offensive capabilities that would be threats to American companies and national security? Jensen: First of all, Mythos was trained on fairly mundane capacity and a fairly mundane amount of it by an extraordinary company. The amount of capacity and the type of compute it was trained on is abundantly available in China. Dwarkesh: With that, could they eventually train a model like Mythos? Yes. But the question is, because we have more FLOPs, American labs are able to get to this level of capabilities first. Furthermore, even if they trained a model like this, the ability to deploy it at scale matters. If you had a cyber hacker, it's much more dangerous if they have a million of them versus a thousand of them. Jensen: Your premise is just wrong. The fact of the matter is their AI development is going just fine. The best AI researchers in the world, because they are limited in compute, also come up with extremely smart algorithms. DeepSeek is not an inconsequential advance. The day that DeepSeek comes out on Huawei first, that is a horrible outcome for our nation. Dwarkesh: Currently, you can have a model like DeepSeek that can run on any accelerator if it's open source. Why would that stop being the case in the future? Jensen: Suppose it optimizes for Huawei. Suppose it optimizes for their architecture. It would put others at a disadvantage. As AI diffuses out into the rest of the world, their standards and their tech stack will become superior to ours because their models are open. Dwarkesh: Tesla sold extremely good electric vehicles to China for a long time. iPhones are sold in China. They didn't cause some lock-in. China will still make their version of EVs, and they're dominating, or smartphones, they're dominating. Jensen: We are not a car. The fact that I can buy this car brand one day and use another car brand another day is easy. Computing is not like that. There's a reason why x86 still exists. There's a reason why Arm is so sticky. These ecosystems are hard to replace. Dwarkesh: It's just hard to imagine that there's a long-term lock-in to the Chinese ecosystem, even if they have this slightly better open-source model for a while. American labs port across accelerators constantly. Anthropic's models are run on GPUs, they're run on Trainium, they're run on TPUs. There are so many things you can do, from distilling to a model that's well fit for your chips. Jensen: China is the largest contributor to open source software in the world. China's the largest contributor to open models in the world. Today it's built on the American tech stack, Nvidia’s. Fact. All five layers of the tech stack for AI are important. The United States ought to go win all five of them. in a few years time, I'm making you the prediction that when we want American technology to be diffused around the world—out to India, out to the Middle East, out to Africa, out to Southeast Asia—on that day, I will tell you exactly about today's conversation, about how your policy ... caused the United States to concede the second largest market in the world for no good reason at all.

Sorry did you not get the memo we aren’t doing left wing slopulism anymore, you will be driven around in the Waymo, you will pay your income taxes, you will behave in a pro social manner, and you will like it.

Labs and their employees need nation state level security ASAP. The motivations for attacks from the labor class, geopolitical foes, and religious groups will become widespread as desperation for the world that once was is proven fruitless by the advancements in technology.

Is there an Epoch equivalent for animal welfare? People whose job is to figure out and publicly share high quality information about how many of which kinds of animals live in what conditions, where, and how it’s changing? Or eg trends in the consumption of animal products?

This is a man who has been haunted since childhood and built a billion dollar company as a side effect of trying to make the haunting stop.