Here’s a message I got from a 91-year old voter. 💯 needed on this platform.

In this photograph, a single poppy stands in a field in Calvados, Normandy, bathed in the soft light of the evening sun. They were, and remain, the Greatest Generation. We will remember them.

It takes a team, and I’m lucky to have this one.

Memorial Day 2026 vs last year: ⛽ Gas: 28% ✈️ Flights: 20.7% 🐄 Beef: 16% 🍅 Tomatoes: 40% ☕ Coffee: 18% 🌭 Hot dogs: 11% 🏨 Hotels: 4.3%

Minnesota has become the first state to ban prediction markets

More on this: -$250M to reduce car tab fees (one time) -$125M in property tax relief -$205M for HCMC $500M for a new hospital stabilization fund (backed by rainy day account so not reflected on this sheet) -ballpark tax ending (one proposal would expand it for HCMC $)

RT @thauserkstp: UPDATE: Here is the deal signed by Gov. Walz and legislative leaders. Highlights include: $200 million to HCMC from genera…

Hospital leaders from across the state joined bipartisan lawmakers Tuesday at the Capitol to urge the Minnesota House to pass legislation that protects Minnesota patients’ access to local care by enforcing the state’s 340B program. Watch: ow.ly/QNHZ50YYmO5

The CDC has been gutted. I'm telling you now. The US is NOT ready for the next pandemic

All eyes on this hantavirus outbreak It’s not looking good

One of the more concerning parts of this #Hantavirus (? Andes Virus) outbreak is that Case 2 boarded a flight while symptomatic (she died the day after the flight). Contact tracing is now ongoing for fellow passengers. A recent Andes Virus outbreak was published in NEJM outlining person-person transmission from Nov 2018 to Feb 2019 in Argentina. The table below shows the range of incubation periods. Over 50% (19/34) had incubation periods of more than 3 weeks. nejm.org/doi/full/10.1056/NE…

SESSION DAILY: Three House proposals emerge to stabilize HCMC as operating losses project to $1.7 billion over next decade house.mn.gov/SessionDaily/St… #mnleg

Despite federal approval in March of Minnesota's corrective action plan to fight fraud, the Centers for Medicare and Medicaid Services refuses to release $260 million in deferred Medicaid reimbursements for claims the state already paid. Here are examples of what $260M covers.

Apply this to current and/or former Presidents, plus their family members and we’ve got a deal

In these polarizing times, Minnesotans have found something they can agree on — the thrill of a meat raffle. But while inflation has surged and meat prices have soared, Minnesota’s $70 per-event prize limit hasn’t changed in nearly 40 years.

Sen John Hoffman gives a forceful rebuttal to Sen Gruenhagen for using the phrase “illegal aliens” in #mnleg Senate Human Services “I was shot 9 times and almost died twice because of dehumanizing language.”

🏥❤️‍🩹 "There are 31 hospitals across the state that are financially distressed… There are 18 rural hospitals that are at risk of closing... Some rural hospitals are already beginning closure proceedings." Watch on @tptAlmanac: ow.ly/oOpO50YIegs

My bill to hold big Pharma accountable, hold down drug prices for Minnesotans and sustain our hospitals passed the Senate with a strong bipartisan vote of 42 senators yesterday. I'm glad we could get this done for the people of Minnesota--and I'm proud of my record of passing legislation that helps people struggling with costs.

This is a near verbatim debate in #mnleg Senate Floor today: D: I am concerned the President threatened genocide in Iran, we should all stand up against… R: Iran has nothing to do with the MN Senate!! D: ok never mind R: I would like us to vote on eating the Beavers…

🚨SHOCKING: Apple just proved that AI models cannot do math. Not advanced math. Grade school math. The kind a 10-year-old solves. And the way they proved it is devastating. Apple researchers took the most popular math benchmark in AI — GSM8K, a set of grade-school math problems — and made one change. They swapped the numbers. Same problem. Same logic. Same steps. Different numbers. Every model's performance dropped. Every single one. 25 state-of-the-art models tested. But that wasn't the real experiment. The real experiment broke everything. They added one sentence to a math problem. One sentence that is completely irrelevant to the answer. It has nothing to do with the math. A human would read it and ignore it instantly. Here's the actual example from the paper: "Oliver picks 44 kiwis on Friday. Then he picks 58 kiwis on Saturday. On Sunday, he picks double the number of kiwis he did on Friday, but five of them were a bit smaller than average. How many kiwis does Oliver have?" The correct answer is 190. The size of the kiwis has nothing to do with the count. A 10-year-old would ignore "five of them were a bit smaller" because it's obviously irrelevant. It doesn't change how many kiwis there are. But o1-mini, OpenAI's reasoning model, subtracted 5. It got 185. Llama did the same thing. Subtracted 5. Got 185. They didn't reason through the problem. They saw the number 5, saw a sentence that sounded like it mattered, and blindly turned it into a subtraction. The models do not understand what subtraction means. They see a pattern that looks like subtraction and apply it. That is all. Apple tested this across all models. They call the dataset "GSM-NoOp" — as in, the added clause is a no-operation. It does nothing. It changes nothing. The results are catastrophic. Phi-3-mini dropped over 65%. More than half of its "math ability" vanished from one irrelevant sentence. GPT-4o dropped from 94.9% to 63.1%. o1-mini dropped from 94.5% to 66.0%. o1-preview, OpenAI's most advanced reasoning model at the time, dropped from 92.7% to 77.4%. Even giving the models 8 examples of the exact same question beforehand, with the correct solution shown each time, barely helped. The models still fell for the irrelevant clause. This means it's not a prompting problem. It's not a context problem. It's structural. The Apple researchers also found that models convert words into math operations without understanding what those words mean. They see the word "discount" and multiply. They see a number near the word "smaller" and subtract. Regardless of whether it makes any sense. The paper's exact words: "current LLMs are not capable of genuine logical reasoning; instead, they attempt to replicate the reasoning steps observed in their training data." And: "LLMs likely perform a form of probabilistic pattern-matching and searching to find closest seen data during training without proper understanding of concepts." They also tested what happens when you increase the number of steps in a problem. Performance didn't just decrease. The rate of decrease accelerated. Adding two extra clauses to a problem dropped Gemma2-9b from 84.4% to 41.8%. Phi-3.5-mini from 87.6% to 44.8%. The more thinking required, the more the models collapse. A real reasoner would slow down and work through it. These models don't slow down. They pattern-match. And when the pattern becomes complex enough, they crash. This paper was published at ICLR 2025, one of the most prestigious AI conferences in the world. You are using AI to help you make financial decisions. To check legal documents. To solve problems at work. To help your children with homework. And Apple just proved that the AI is not thinking about any of it. It is pattern matching. And the moment something unexpected shows up in your question, it breaks. It does not tell you it broke. It just quietly gives you the wrong answer with full confidence.