Indeed --so not ok.

This is completely not okay, and we can't become numb to repeated instances of illegal and unconstitutional action by government agencies. The recent days have been horrific.

I’ve built three personal apps of moderate complexity over the break, and Gemini has been amazing. Starting in aistudio, then using antigravity and Gemini CLI/Jules, it’s been easy to get complex things coded — even all the way to a functioning iPad app for dungeon mastering that I’m going to use tomorrow night. It’s oneshotted entire features. While I’m helping it on some bugs and debugging strategy, it’s quite good. I think a lot is about to change.

Listening to Rich 30 years after the first time. #NeurIPS2025

Ouch. Giants fans (and Dodger haters everywhere) got let down by Blue Jay pinch runner (Isiah Kiner-Falefa) who got just barely thrown out at home on a bases-loaded 1 out bottom of the ninth dramatic play, but he had nearly no secondary lead and chose to slide into home instead of running through on a force play (which probably would have made all the difference).

I am very proud of our team's (x.company/projects/bellwethe…) efforts in this collaboration amongst many parts of Google to launch advanced AI tools for the planet.

Starting soon, for every API call made on Gray Whale (AI Developer Ecosystem) a percent will be taken and used for a buy-and-burn of $DEVELOPER. Stay tuned. graywhale.ai

Today we are holding an @iphonedevcamp hackathon and we are launching a token on @helpdotfun. We will begin live-streaming this event right after this post.  To trade it, you have to solve a puzzle to get the real CA: help.fun/developer 1.5% of trading fees will go to Developer Camp’s mission: empower technologists to change the world with great ideas. Square, Getaround, Temple Run, OAuth, Apple’s TestFlight all have created their foundation at Developer Camp. Also, if you are a developer please reach out to us, we want you to be a part of the next batch.

Excited to share some research from @Theteamatx ! Using @GoogleDeepMind's AlphaEarth Foundation model, our x.company/projects/bellwethe… team successfully mapped wildfire-fueling vegetation in previously un-analyzed parts of Canada with ~81% accuracy. This is a big step for predicting and preventing wildfires globally. arxiv.org/pdf/2508.11739

Cool demo of a GUI for LLMs! Obviously it has a bit silly feel of a “horseless carriage” in that it exactly replicates conventional UI in the new paradigm, but the high level idea is to generate a completely ephemeral UI on demand depending on the specific task at hand.

Congrats to the Wing team! @Theteamatx techstory.in/walmart-and-win…

I am alarmed by the proposed cuts to U.S. funding for basic research, and the impact this would have for U.S. competitiveness in AI and other areas. Funding research that is openly shared benefits the whole world, but the nation it benefits most is the one where the research is done. If not for funding for my early work in deep learning from the National Science Foundation (NSF) and Defense Advanced Research Projects Agency (DARPA), which disburse a good deal of U.S. research funding, I would not have discovered lessons about scaling that led me to pitch starting Google Brain to scale up deep learning. I am worried that cuts to funding for basic science will lead the U.S. — and also the world — to miss out on the next set of ideas. In fact, such funding benefits the U.S. more than any other nation. Scientific research brings the greatest benefit to the country where the work happens because (i) the new knowledge diffuses fastest within that country, and (ii) the process of doing research creates new talent for that nation. Why does most innovation in generative AI still happen in Silicon Valley? Because two teams based in this area — Google Brain, which invented the transformer network, and OpenAI, which scaled it up — did a lot of the early work. Subsequently, team members moved to other nearby businesses, started competitors, or worked with local universities. Further, local social networks rapidly diffused the knowledge through casual coffee meetings, local conferences, and even children’s play dates, where parents of like-aged kids meet and discuss technical ideas. In this way, the knowledge spread faster within Silicon Valley than to other geographies. In a similar vein, research done in the U.S. diffuses to others in the U.S. much faster than to other geographic areas. This is particularly true when the research is openly shared through papers and/or open source: If researchers have permission to talk about an idea, they can share much more information, such as tips and tricks for how to really make an algorithm work, more quickly. It also lets others figure out faster who can answer their questions. Diffusion of knowledge created in academic environments is especially fast. Academia tends to be completely open, and students and professors, unlike employees of many companies, have full permission to talk about their work. Thus funding basic research in the U.S. benefits the U.S. most, and also benefits our allies. It is true that openness benefits our adversaries, too. But as a subcommittee of the U.S. House of Representatives committee on science, space, and technology points out, “... open sharing of fundamental research is [not] without risk. Rather, ... openness in research is so important to competitiveness and security that it warrants the risk that adversaries may benefit from scientific openness as well.” Further, generative AI is evolving so rapidly that staying on the cutting edge is what’s really critical. For example, the fact that many teams can now train a model with GPT-3.5- or even GPT-4-level capability does not seem to be hurting OpenAI much, which is busy growing its business by developing the cutting-edge o4, Codex, GPT-4.1, and so on. Those who invent a technology get to commercialize it first, and in a fast-moving world, the cutting-edge technology is what’s most valuable. Some studies (link in original post, below) also show how knowledge diffuses locally much faster than globally. China was decisively behind the U.S. in generative AI when ChatGPT was first launched in 2022. However, China’s tech ecosystem is very open internally, and this has helped it to catch up over the past two years: - There is ample funding for open academic research in China. - China’s businesses such as DeepSeek and Alibaba have released cutting-edge, open-weights models. This openness at the corporate level accelerates diffusion of knowledge. - China’s labor laws make non-compete agreements (which stop an employee from jumping ship to a competitor) relatively hard to enforce, and the work culture supports significant idea sharing among employees of different companies; this has made circulation of ideas relatively efficient. While there’s also much about China that I would not want the U.S. to emulate, the openness of its tech ecosystem has helped it accelerate. In 1945, Vannevar Bush’s landmark report “Science, The Endless Frontier” laid down key principles for public funding of U.S. research and talent development. Those principles enabled the U.S. to dominate scientific progress for decades. U.S. federal funding for science created numerous breakthroughs that have benefited the U.S. tremendously, and also the world, while training generations of domestic scientists, as well as immigrants who likewise benefit the U.S. The good news is that this playbook is now well known. I hope many more nations will imitate it and invest heavily in science and talent. And I hope that, having pioneered this very successful model, the U.S. will not pull back from it by enacting drastic cuts to funding scientific research. [Original post, with links: deeplearning.ai/the-batch/is… ]

Since launching $REEFS, we’ve generated tens of thousands in trading fees which will go to support Maui Reefs… Although that may not sound like a lot in the crypto world, it is significant for small non-profits like Maui Reefs (majority of US nonprofits have annual budgets below $50,000). And this all happened within less than a day of launch… Behind Maui Reef’s non-profit is a team of researchers, organizers, and volunteers who wake up every single day to fulfill their mission of protecting the ocean. Their work never pauses. The best marketing in the world is seeing real impact and real change being made. Non-profits naturally do that. We’re not here to distract them from their work with the typical crypto marketing pushes, we’re only here to empower the non-profit to do the work that matters, and let that naturally generate attention. Lastly, our mission is not tied to market swings - trading fees are generated on both up and downswings, and is donated to the non-profit. We are creating a new way to fuel nonprofits that serve communities and our earth.

RT @KiteVC: This is a great iteration by @helenaeverley on something we experimented with 8 years ago when I helped fund @CryptoKitties and…

Introducing $REEFS. We believe in clean ocean water, healthy coral reefs, and abundant wildlife. Supported by @helenaeverley, @KiteVC of @ACTAIglobal & @amandaterry of @OnChainMonkey @ACTAIVentures!

Our team at X, The Moonshot Factory, is hiring a research scientist! x.company/careers/7997375002…

“The hardest thing to teach a student—and the hardest thing to believe consistently—is that there is nothing ‘out there’ to go and get. There is no part, no career, no opportunity for which you should be searching and scrounging and coveting. All of the preparation is within, and you keep yourself mentally and physically fit; you remain generous with yourself and others; you stay deeply in study about your craft. Whatever is yours will then arrive.” — ​Marian Seldes

Big news from @NVIDIA's Jensen Huang on the biggest stage in cloud about our super partnership: Announcing Google Distributed Cloud with Gemini and NVIDIA will bring state-of-the-art AI to the world's regulated industries and countries. #GoogleCloudNext

It's live! Google Research debuts Geospatial Reasoning, featuring direct contributions from our team: Bellwether at X, The Moonshot Factory. The possible futures of disaster response and planetary data insights with agentic technologies is *quite* exciting! Keep an eye on hashtag#CloudNext2025 for more! Blog post here: lnkd.in/gWaJZTZw