Kamala Harris' economic adviser has confirmed that there is a plan to tax unrealized gains for households with over $100,000,000.

I am not joking when I say this. Spotify, Apple Music, and streaming in general is over. AI music is now very, very good. You just don't know yet because all AI music circulating today is from ~2-3 generations ago. Suno v6 pro et al has solved infinite personalized music.

the lighting is giving him a toothbrush mustache shadow in case it wasn’t already blindingly obvious

if you aren't dating someone or splitting the bills with a roommate it's literally financial suicide to live by yourself in this economy

Shattered Ed Sheeran claims family ‘abandoned’ him as Macklemore controversy rages on trib.al/bVqK5m9

the witch at spirit halloween waiting for me to step on her mat

Snickers has made a digital candy bar you can “feed” to AI when it starts giving bad answers The HungrAI bar prompts the chatbot to rethink its response

The man was seen “hunkered down” in the aisles of a Glendale business and appeared to be “sniffing someone out,” according to police. ktla.com/news/local-news/ser…

Only in SF moment.

It was great to have @Raekwon at our office again. Congratulations to the Wu-Tang Clan on their farewell tour. Never forget your OGs.

Blueberry recall upgraded to FDA's highest risk level... 'reasonable probability of death' trib.al/lZsp3U4

Suno Vinyl allows users to turn the music they make on the AI platform into physical records. ra.co/news/85755

Kevin O’Leary says he wept when Rolex gave him a watch even its own staff had never seen. “Grown men weep just looking at pictures of this mystical beast. Does it exist? I got on my knees and begged for it.” “The morning before the Oscars, the phone rings. They gave me an address and said, ‘Be there.’ And there it was.” “The entire Rolex staff had never seen it. All the dealers from around LA came to see it.” “For an hour we looked at it. We didn’t touch it. We just looked at it and said, ‘It’s real.’” “I did, and I wore it. I was weeping. It was mine. I own it. Do you know how many people have that piece? Maybe nobody.”

Some observations on Kimi: 1. It's a very good model! I don't think its performance can be explained away by distillation or anything like that. In agentic coding sessions, it seems pretty much on par with the best public models of Q1 2026. In my fairly limited use, it also seemed very token hungry. It's not obvious to me that this model is actually that cheap to run. 2. I am personally surprised the Chinese state continues to allow the open sourcing of models this good, given potential risks. To be clear, I *myself* might be fine with models presenting this level of marginal risk being open weight, but I am surprised that China is fine with it. I suspect the reason they are is 75% explained by strategic blindness/lack of AGI-pilledness (the CCP is very Yann Lecun-y in its views of AI). The other 25% or so is their lack of compute for customer inference (making China's open-weight strategy an unintended byproduct of US export controls) and the normal Chinese strategy of aggressive exports. For the companies, as opposed to the government, the decision to open source is partially ideological and partially because they are behind, and they know that very few people would pay for sub-frontier models from China. 3. Open-weight models are inherently decelerationist, and I'm continually surprised to see the so-called "accelerationists" so excited about open-weight models. I suspect the reason they are is that they know open-weight models are effectively ungovernable, and they simply like the overall cloak of ungovernability open-weight models create over the whole of AI. It's not a bad strategy; it reminds me of James Scott's recounting of the hill people in "the art of not being governed." Still, in the end, open-weight models deter further AI capex. 4. One probable outcome of an open-weight-model-dominant world is full AI communism, which is precisely what China proposes: rather than a market product, AI is a "public good" which will ultimately be provided by the state as a kind of "digital public infrastructure." This future strikes me as a dystopian hellscape, but I've never met an open-weight models advocate who doesn't ultimately concede this is where things end. You'd be surprised how many 'accelerationists' lobbied me, while I was in government, to support an eleven or twelve-figure federally funded data center so that startups could train models at a subsidy and then give them away for free. There was no other way for AI to progress, they said. Perhaps this is the logical end state of things. Nonetheless, I find myself surprised to see supposed accelerationists excited about such an outcome. I think many of them just don't know what they're doing. Many accelerationists do not view the creation and serving of frontier models as a legitimate business. 5. I would guess that the Trump Administration will at some point realize that their best strategy here would be to create large amounts of regulatory risk around the use of open-weight Chinese models. You don't need to "ban open source" (one of the dumber motifs of AI policy discussion). You just need to direct every agency to issue soft law that creates FUD. "A Federal Reserve Advisory Bulletin found that there may be backdoors in Chinese AI models." It needn't be that well justified. You just create enough regulatory risk that every regulated enterprise backs off. You probably don't want to create so much regulatory risk that you scare off the hyperscalers from serving Chinese models; this will just drive startups to sketchier providers. There's a happy middle ground here. I'd assume they will do some version of this. 6. It's probably true that open-weight models of this capability make the world a bit more dangerous, but not so much more that you'll really notice. At some point the models will be capable enough that you will notice. "A nonliving, invisible, dangerous, and infinitely self-replicating agent escaped from a Chinese lab," you say? Color me shocked.