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What is the 4-step cricothyrotomy method? This method uses 4 steps: Scalpel-finger-bougie-tube 1. Scalpel to the cricothyroid membrane 2. Finger insertion into the trachea with downward traction 3. Insertion of a bougie into the track with the finger it in feeling for the tracheal rings 4. Insertion of the...

31,530 görüntüleme • 1 yıl önce •via X (Twitter)

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this is more useful than my entire degree Elon Musk's rocket company signed a $60,000,000,000 deal for Cursor in June, and eight days ago the two of them put a worker on sale for $200 a month: it gets its own computer in the cloud, signs into your accounts, clicks through your real apps, and hands back finished work instead of a draft for you to paste i ran one against my receipts folder on sunday and got back 14 filed, 2 it held because they needed a card number, and a saved method i never wrote myself Grok Bot is the one you train by doing your own job in front of it, and the whole handover fits in four messages tonight: 1. write out one job you did today the way you would brief a new hire: what has to be finished, which sites and files to work from, what to hand back, and where it stops and asks you 2. let it run once on something safe to get wrong, then correct the result until it is worth your name 3. say "save what we just did as a skill", and add the one rule about what always needs your approval 4. say "run that skill every weekday at 8 and post the result here. if the source is missing, tell me instead of using yesterday's numbers" xAI wrote that order into its own manual: one real job, then the saved method, then the clock. a schedule sitting on top of a method nobody checked replaces two hours of your clicking with two hours of your mistake turns out you never get to pick the brain, and that is the part i would argue about: the manual says there is no model picker for members or admins, no plan to add one, and the bill follows whichever model answered bookmark this, then open the piece below: which jobs deserve a worker of their own, and which ones quietly burn the seat ↓

Argona

21,946 görüntüleme • 25 gün önce

Yesterday at Brown University ICERM's workshop on “Agentic Scientific Computing and Scientific Machine Learning” I spoke about “Adaptive Swarms Across Scales”, making the case for scientific AI as systems that can create representations, stress them, fracture them, and enlarge the category in which future representations live. The category here is a composable and breakable working universe of science: data, hypotheses, simulations, measurements, tools, failures, figures, papers, provenance, and the transformations that connect them. Discovery happens when those transformations become executable, inspectable, composable, and capable of changing the world model they operate within. Atomistic modeling gives one category - states, forces, trajectories, observables, boundary conditions, conservation laws. Neural surrogates learn fast morphisms inside or between such categories. But discovery is higher-order: it changes which objects and morphisms are available in the first place: what variables exist, what operations are allowed, what evidence counts, what scale is active, what invariant is being preserved, and what kind of explanation the system is even capable of forming. This is scientific method as adaptive architecture: compression, stress, fracture, recomposition. Fracture matters here because it makes the logic physical: a non-commuting diagram realized in matter. The imposed load, material hierarchy, defect field, and assumed continuum description no longer map cleanly into the observed outcome. The crack is the obstruction and it identifies where the old morphism failed and where a new representation must be introduced. The physical crack and the categorical obstruction are the same event viewed in different substrates. ScienceClaw × Infinite is a machine for constructing and transforming a category of scientific artifacts. Each artifact is typed. Each operation has lineage. Each failed branch remains in the category as reusable structure. The “paper” is no longer the terminal object of science; it is one projection of a larger compositional trace, and it can be generated at any time for consumption by a human or an AI. With that the unit of scientific labor is changing. For most of the twentieth century the unit was the result (a measurement, a theorem, a synthesized molecule). It is now becoming the algorithm that produces results, and after that, the substrate of discovery itself. The static PDF is the wrong terminal object for this regime, and the role of the scientist with it. We now design algorithms that build algorithms, and eventually substrates in which such algorithms compose themselves. At that point, the scientist is no longer outside the discovery system. The scientist becomes one of the representations the system can transform. In that sense, the systems will eventually do science to us, and that is the structural consequence of the principle they are built on.

Markus J. Buehler

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As I sit here in DC this week, we are closer to something I was not sure I would ever see. I have been working in this industry since 2015. For most of those years, the defining feature of crypto in Washington was not policy. It was the absence of it. A gray zone where serious people built serious things under a constant cloud, never quite sure which rules applied or whether the ground would move beneath them. This week the CLARITY Act sits on the Senate calendar. A federal framework for digital asset market structure, the thing this industry has wanted for the better part of a decade, is closer than it has ever been. It is not law yet, and there are real hurdles left. But the distance between where we stood a few years ago and where we are sitting today is hard to put into words. I keep thinking about the work that got us here. Over the past year I watched Chainlink move from outside these conversations to inside them. Sergey at the White House for the signing of the GENIUS Act. The Department of Commerce putting government economic data onchain. Meetings with the SEC that became real interpretive guidance. Conversations with the lawmakers now writing the rules. None of that happens by accident. It happens because people keep showing up, year after year, and make the case in rooms where it is not yet obvious. And there is something fitting in it. The entire premise of what we build is verification. Making truth provable. Removing the question of what is real. The work here in DC is the same thing in a different form. Trading a decade of ambiguity for something the industry has never actually had. We are not at the finish line. But sitting here, it is hard not to feel the weight of it. The gray zone is ending. What comes next is something this industry has never had. Clarity.

Chris Barrett

14,798 görüntüleme • 3 ay önce

⚾️ It is no secret that elbow injuries, specifically UCL injuries, have been on a rise in recent years ➡️ The reason for this is so multi-factorial that it is impossible to pinpoint any 1 reason for an injury 💪 With the constant improvement in the development of pitchers, both skill side and S&C, we are seeing an increase in velocity across all levels of baseball 🎟This is obviously a Great thing for Punching Tickets but also leads to more forces being passed through the medial elbow 🔥There are really 3 proactive actions we actions we can take to counteract this: 1) Address pitching mechanics if there are deficiencies 2) Appropriately manage chronic/acute AND Total workloads 3) Increase the capacity and stress the elbow can handle 🔥 We will specifically dive in to the 3rd component of this in this thread. In short, the answer is simple, GET STRONG FOREARMS 3 WAYS VALGUS FORCE IS DISPERSED ✅ Radiocapitellar Joint Compression When a valgus stress is applied to the elbow, it is attempting to open up or gap the medial (inside) portion of the elbow. This is also the Orthopedic Test for a UCL injury. While this force is trying to gap the medial portion of the elbow, it is also compressing the lateral side. When the radius and lateral humerus compress, this acts as a stopping point for the elbow going into that valgus motion ✅ Forearm Musculature In addition to the UCL on the medial side of the elbow, there is also a group of forearm muscles that span that area and attach to the same portion of the elbow, the medial epicondyle. These muscles include: Pronator Teres, Flexor Carpi Ulnaris, Flexor Carpi Radialis, Flexor Digitorum Superfiscialis, and the Palmaris Longus. With that specific attachment to the medial epicondyle and their respective distal attachments, these do a great job of accepting the valgus force and protecting the UCL. There is some research that states FCU does the best job of the muscles listed, but we believe the best action is to strengthen all of them. The best ways to attack this is with movements including: finger flexion, wrist flexion, Ulnar deviation (moving pinky towards medial elbow), and Pronation of the forearm ✅ Ulnar Collateral Ligament (UCL) What doesn’t get absorbed by the first two structures is placed on the UCL. Previous research has shown that a UCL with no other structures involved is able to withstand ~35 nm of force before failure The Problem is: Every Pitch produces far more than 35nm of Valgus Stress. This shows us just how important the other 2 mechanisms are! * Exercises in the videos should be a complement to your entire S&C Program and is not designed to replace it

Armored Heat

33,221 görüntüleme • 3 yıl önce