🐾❤️🐾 ROO MAKES IT INTO THE LOCAL PAPER 🐾❤️🐾 This is great to see. She’s now been gone 7 weeks. Thanks so much for your continued support, please keep Roo red hot !!! ☎️07513 906663 #bringroohome# @thismorning please can you help? @MissingPetsGB @rosieDoc2

This morning on Election Day, Trump goes on Fox News and announces he’s going to stop $4 billion dollars per year aid to Israel. Last year when my amendment to strip funding to Israel failed in the House bc only 6 members of congress including myself voted for it, I was labeled an antisemite. Amazing how being on the verge of Republicans getting wiped out in the midterms changes hearts and minds. Reality is, Israel is financially rich with state funded healthcare and college while Americans are financially suffering with a $40 trillion dollar national debt. And the majority of Americans are furious our tax dollars and military weapons have been used to kill 22,000 children in Gaza. Trump getting permission from Netanyahu to end annual aid to Israel isn’t going to change today’s election results. Nor is it going to end the war with Iran or stop Israel from murdering innocent Palestinians. But it does show you how bad the polling is on that issue.

This morning I'm working on a new eval suite for @VulcanBench, Routine v2. I can't stop thinking about a gap that exists in benchmarking today. And I don't think I'm effectively filling that gap yet. I think what me, and many other benchmarks find ourselves doing is trying to challenge the frontier. To be clear, I think we should all keep doing this. I know for me and many others, building eval suites that truly challenge the ever-changing frontier is one of the most interesting things you can do right now. It is very likely, the hardest thing I've ever done in my life, and I'm really loving how much harder it gets each month. In many ways I find something so satisfying about seeing my eval suites get saturated, it pushes me to find new ways to experiment and learn about models. At the same time, I think the challenge with most benchmarks today, including my own, is that we tend to focus too much on trying to give models super hard tasks. Like I just said, a new set of models comes out, an eval suite saturates, and it's off to try to build a harder one. But what is still missing is real signal around what models we all need for just normal daily coding tasks. This was originally my goal with VulcanBench, then I got too interested in challenging the frontier and my core eval suite, now Frontier v4 became my focus. Now I'm working on v5 because I'm addicted to challenging the frontier and really can't stop at this point...but I also want to get back to my original mission. So I'm working on a new kind of benchmark, something I think is uniquely different from anything else out there. The goal is not to challenge the frontier, because most of the daily coding work engineers are doing, isn't really that challenging to the frontier, it's normal daily work. And I think many people are very lost now trying to figure out what model and effort level they need for regular daily work. While model routers exist, they are in a very nascent stage today. I don't think there's any model router that has the sophistication to know, ah, this is a medium-sized Python repo, doing mostly Pandas stuff, let's use this model and effort level. I just don't think current model routers would know the difference between this, and say, a medium-sized Python repo, mostly doing say supervised ML with SciKit Learn. Instead, model routers today mostly just pick an orchestrator, executor, and code review model, that will be cheaper than someone using one model for all three. Sure, it's better than just using Opus 5.5 High in Claude Code for everything, but it's not actually optimized in any way to the codebase size, programming language, etc. I really want to be able to help people understand. Okay, what model do I want to use for planning, execution, and code review for a repo of a specific size, with a specific programming language, and for certain types of tasks leveraging specific libraries. This also means rethinking how to score benchmarks, because every frontier model should be able to pretty much ace most routine tasks. So instead we need to look at things like accuracy, cost, time, and code quality, all together vs. just looking at something like accuracy and cost-per-task on a pareto chart. All of what I have shared above, will become the Routine v2 eval suite, along with a new benchmark/scoring system designed to provide signal on routine tasks, broken down by language and repo size. My goal is that I can essentially create a system where you can select your codebase size and programming language, and rank the difficulty of the tasks you're doing, and get a model and effort level out of it. For example, you might select: Repo size: Medium Programming language: Python Difficulty: Easy and it might recommend Opus 5.5 Medium for planning, GPT-6.1 Terra Medium for execution, and DeepSeek V4.1 Flash High for code review. This would be very different than if you used most of the model routers out right now, they might never use GPT-6.1 Terra Medium. They might always use the same model at the execution layer, and yes, it's 30% or 40% cheaper than if you just used Opus 5.5 High for planning, execution, and code review, but it's not actually the optimal model combination. As usual, I like getting things out of my head, and into the world, which I've done a lot on X this year and through it, I've received a ton of great feedback. So if you read this far, first, common, it's a Sunday morning, what are you doing reading my insanely long tweet? And second, what do you think? I'm always looking for feedback. Comment and let your voice be heard. (just please, no ai slop comments, real people, with real thoughts only, all accounts just posting ai comments like, "the real win is" will be blocked)

This morning, history was made in Tampa Bay with Florida’s first Advanced Air Mobility (AAM) electric aircraft demonstration flights. From the first commercial airline flight over Tampa Bay in 1914, to today’s AAM demonstrations along that same historic route, Florida has long been a launchpad for new ideas that shape the future of transportation.   I’m proud that Florida is a place where groundbreaking transportation technologies can be developed and deployed. Thanks to strategic investments, education partnerships, and policies that promote innovation, we’re ensuring that Florida continues to lead the way in aviation and aerospace.

This morning I announced my Day 1 Executive Order to investigate localities where property taxes have doubled since the pandemic, to give the public transparency that they deserve. The people of our state are ready for it.

this morning, right before i left the house, my 2 year old daughter screamed: "daddy, wait, a kiss!" "bye, daddy." "wait, one more kiss. bye daddy!" how could you not walk out the door ready to conquer the world for them after that? kids give you a motivation nothing else can match. build for them.