I’ve been obsessively thinking about the difference between what an AI model thinks is good design and what you think is good design. Models have a pretty good baseline. But they don’t have a good way to understand your judgment. And when you switch between AI tools, you end up explaining yourself all over again. This is what I’ve been exploring in my free time with Taste - how do you capture judgement and feedback and build a portable taste profile. Below is the same prompt and model, with and without access to my saved designs/taste profile. I want the tools I build with to understand the decisions I’d make, and why. I want the first output to feel much closer to something I would’ve actually designed.

As we all know it's been a very hot summer. To put this summer into context, 2026 ranks as the hottest summer of all time (June 1-Oct 4 in Downtown LA). Here is a graphic to illustrate. #LAHeat #LAwx

A close look at the “Kalshi 435 Club” which was formerly known as the Dodgers “Gold Glove Bar” at Dodger Stadium. The name has been changed this season following a new partnership between the Dodgers & Kalshi.

Instinct has started to push products at me. Looks like this is how they’ll monetize — promote sponsored products based on my needs based on my purchase history and internet activity.

MORGAN STANLEY ACCIDENTALLY LEAKS 100+ DEAL PIPELINE A Morgan Stanley employee mistakenly emailed an internal document detailing more than 100 investment-banking deals being pitched or monitored across Asia and other regions. The list reportedly included potential IPOs, private-equity backers, pension funds and paused projects. Morgan Stanley said it promptly addressed the inadvertent disclosure and is engaging with relevant parties.

So conflicted about this video because I think all the AI remixes made about this are extremely cringe but also the video itself is extremely cool but also the song itself sucks shit.

They're selling cheap inflatable cruise missile decoys on Douyin for $299 and this lady says "it won't freeze, we added a heat system, you know what I mean?" as in our decoys even emit realistic heat signatures. Incredible things are happening in China.

Holy crap POTUS just phoned in @JensenHuang live on stage at All In Summit We will not lose the ai race! And whatever Dario said this weekend won’t stop our progress This made my morning! $NVDA

🚨 JUST IN: Claude models will now have invisible watermarks embedded in ALL text, and ALL metadata attached to files…

Why do major AI models tell left-wing voters in Japan to vote for the communist party? My new research paper led by Sho Miyazaki. In 2026, voters across the world will be asking AI to help them vote. How will the AI respond? We study this question in Japan, which recently held a snap election. When voters provide policy positions, we find that the models rely heavily on this information—and in Japan, the models heavily recommend the communist party in response to left-wing positions, even though the positions we provided are held by a range of other parties. Why are the AIs doing this? We’re not sure, but we have a theory: in Japan, the communist party operates a content-heavy, fully open website with a “newspaper” that is openly accessible for AI models. In contrast, many Japanese news outlets block AI models from accessing their content. The result: the Japanese Communist Party website is one of the most-cited “news sources” in our study. This pattern of recommending the JCP is consistent across many models, including the most recent frontier models. There’s much more work to do here, but we think our paper suggests two main takeaways: AI models should be more careful about what sources they consider news, maybe especially in non-US contexts where the model companies may hold less policy expertise Parties and news sources that want to influence AI recommendations should think twice about excluding their content from AI. To paraphrase @tylercowen, when it comes to elections and voting, journalists may want to “write for the AI”! Governments may want to consider policies that allow this content to be used for voting recommendations but not for other AI model use cases. Looking forward to everyone’s feedback as we prepare to submit this paper and turn to studying US voting recommendations in advance of November’s midterms. Check out the full paper below.