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Fresh challenges 💪 Two quality sides 👌 Same winning mentality 🫡 🎥 Hear from the two Head Coaches as they share key insights ahead of the #RCBvSRH season opener ❤️🧡 #TATAIPL | #KhelBindaas | Royal Challengers Bengaluru | SunRisers Hyderabad

33,576 просмотров • 4 месяцев назад •via X (Twitter)

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🚨 BOMBSHELL: The KIRK/BOWYER Connection Is A Family Affair—Erika And Tyler Are Step Cousins We need to talk about the "first meeting" lie between Erika Kirk and Tyler Bowyer. They’ve claimed for years they met at a 2015 rally, but I have the receipts proving they were part of the same inner family circle as far back as 2012. Some people are getting hung up on the name Ferrin, thinking the connection is only through marriage. Let’s clear that up right now—it’s much deeper than that. Based on the obituary records we’ve uncovered, they are related by marriage (specifically, a shared step-family unit), but it’s a connection so tight that they are officially documented as being in the same family tree. Here is the exact "bridge" between them so you can explain it clearly to anyone who asks: 1. The Common Link: Allie (Frantzve) Ferrin Allie is the "key" that connects the two families. To Tyler: Allie is his cousin. They share the same grandfather, Ray Leonard Bowyer. This is why they are both listed as "grandchildren" in Ray’s 2012 obituary. To Erika: Allie is her half-sister. They share the same father, Kent Frantzve. 2. The Relationship Between Tyler and Erika Because Tyler is a biological cousin to Allie, and Erika is a biological sister to Allie, Tyler and Erika are Step-Cousins or Cousins-in-law through the Frantzve/Bowyer marriage. 3. Why the "Blood vs. Marriage" Distinction Doesn't Save Their Story Even if they don't share DNA, the 2012 Obituary is the "smoking gun"because: Legal/Social Recognition: In 2012 (three years before the rally), they were publicly and formally recognized as part of the same group of grandchildren. Proximity: You don't get listed as a grandchild in a formal obituary if you are strangers. This proves that the Bowyer and Frantzve families were a single, functioning "extended family unit" long before 2015. The Bottom Line: They aren't biological "blood" cousins, but they are family by law and social standing. In the world of high-level political networking, a shared sister/cousin like Allie Ferrin means they were 100% in the same rooms, at the same holidays, and in the same inner circle years before they claimed to "meet" for the first time. 🕸️ The "Handler" Theory: 3 Attempts to "The Trap" This wasn't a random romance; it looks like a coordinated placement facilitated by her own relative, Tyler, who was already a high-ranking official at TPUSA. They didn't just get lucky on the first try. They tried to "set the trap" three different times: Attempt 1: Jerusalem. 🇮🇱 Attempt 2: The 2015 Trump Rally (The "fake" first meeting). 🇺🇸 Attempt 3: An interview at Bob’s Burgers. 🍔 The third time was the charm. Once that "Black Widow" grip took hold of Charlie Kirk, the rest was history. 🛑 Why This Matters If they lied about how they met, what else are they hiding? They scrubbed this family connection to make Erika’s rise look "organic," when in reality, she was backed by the Bowyer/Rothstein machine from day one. Tyler and Erika are family. Period. For the full deep dive into the Rothstein/Frantzve family tree and the ties that blow this case wide open, watch my youtube video: linked below 🔗👇

Project Constitution

121,859 просмотров • 3 месяцев назад

"Guests visit our micro-herb garden three to four times a week, often asking how we grow our produce and what fertilisers we use. They are always pleasantly surprised to learn that everything is grown organically. Many of our guests especially enjoy picking fresh chillies from the garden to take with them, and moments like these bring me a great deal of joy," says Hussein Didi, better known as Benjo. Today, Didi serves as the Chief of Herbs, Veggies, and Fruits (CHV) at Siyam World Maldives, where he has spent more than two decades with the Sun Siyam Resorts group. After retiring from a 30-year career with the Maldives Police Service, Didi joined the company as security manager at Sun Siyam Iru Veli. His passion for gardening soon led him in a new direction, and he transitioned into horticulture, applying innovative cultivation techniques to establish hydroponic and organic micro-herb production at Siyam World Maldives. Recognising the growing demand for fresh, high-quality produce across the resort's restaurants, Didi successfully introduced the cultivation of watermelons, lettuces, micro-herbs, and a variety of other fruits and vegetables using sustainable, environmentally friendly farming methods. Looking ahead, Didi hopes to expand sustainable agricultural practices across the Maldives' hospitality industry, encouraging more resorts to embrace organic farming to provide guests with healthier, locally grown produce while minimising environmental impact.

MV+

41,753 просмотров • 10 дней назад

【Wouldn’t Having a Performance Engineer from Formula E Bring an Advantage?】 Sky Germany asked Toto whether Ant had an advantage because his side of the garage has a Performance Engineer with a Formula E background. Toto dismissed the idea, saying both sides have complete access to each other’s data and tools. But while data and tools can be shared, can experience, judgment, and modeling expertise really be shared as well? That engineer is Stéphane Folio, who previously worked as a Performance Engineer in Nissan Formula E, specializing in energy management, chassis control strategy, vehicle control strategy, the Driver-in-the-Loop simulator, and vehicle dynamics. He joined Mercedes F1 in 2025—the same year as Ant. Why is Formula E experience so valuable under the 2026 regulations? Because after the first ten races, we have already seen that a significant part of a car’s performance is determined by when energy is harvested, when it is deployed, how the state of charge is managed, and how the software calculates and controls that deployment. This may also explain why the gaps between some teammates who were far apart last season have narrowed significantly this year—or even been reversed. Formula E uses a spec battery and several standardized core components, meaning teams cannot rely on hardware alone to create a major advantage. As a result, performance is heavily centered on powertrain efficiency, energy management, control strategies, and software calibration. Engineers spend years optimizing exactly how much energy to recover in each corner, how much to deploy on every straight, and how to recalculate the entire energy strategy after safety cars, slipstreaming, or changes in race position. In many ways, Formula E is a championship where performance is heavily defined by software and energy strategy—experience that overlaps remarkably well with the key technical challenges of the 2026 F1 regulations. Mercedes itself also competed as a factory team in Formula E, winning two Drivers’ Championships, one Teams’ Championship, and one Teams’ runners-up finish. So wouldn’t assigning an engineer with exactly this kind of background to Ant’s side of the garage be a resource advantage in itself? Toto says both sides can see the same data. But seeing the same data does not mean having the same people, the same experience, or the ability to reach equally fast and equally accurate conclusions. Meanwhile, in nine of the first ten races this season, GR has suffered different software or hardware-related issues.

Holy_Moly

55,521 просмотров • 20 дней назад

[Self-Attention] by Hand ✍️ Self-attention is what enables LLMs to understand context. How does it work? This exercise demonstrates how to calculate a 6-3 attention head by hand. Note that if we have two instances of this, we get 6-6 attention (i.e., multi-head attention, n=2). -- 𝗚𝗼𝗮𝗹 -- Transform [6D Features 🟧] to [3D Attention Weighted Features 🟦] -- 𝗪𝗮𝗹𝗸𝘁𝗵𝗿𝗼𝘂𝗴𝗵 -- [1] Given ↳ A set of 4 feature vectors (6-D): x1,x2,x3,x4 [2] Query, Key, Value ↳ Multiply features x's with linear transformation matrices WQ, WK, and WV, to obtain query vectors (q1,q2,q3,q4), key vectors (k1,k2,k3,k4), and value vectors (v1,v2,v3,v4). ↳ "Self" refers to the fact that both queries and keys are derived from the same set of features. [3] 🟪 Prepare for MatMul ↳ Copy query vectors ↳ Copy the transpose of key vectors [4] 🟪 MatMul ↳ Multiply K^T and Q ↳ This is equivalent to taking dot product between every pair of query and key vectors. ↳ The purpose is to use dot product as an estimate of the "matching score" between every key-value pair. ↳ This estimate makes sense because dot product is the numerator of Cosine Similarity between two vectors. [5] 🟨 Scale ↳ Scale each element by the square root of dk, which is the dimension of key vectors (dk=3). ↳ The purpose is to normalize the impact of the dk on matching scores, even if we scale dk to 32, 64, or 128. ↳ To simplify hand calculation, we approximate [ □/sqrt(3) ] with [ floor(□/2) ]. [6] 🟩 Softmax: e^x ↳ Raise e to the power of the number in each cell ↳ To simplify hand calculation, we approximate e^□ with 3^□. [7] 🟩 Softmax: ∑ ↳ Sum across each column [8] 🟩 Softmax: 1 / sum ↳ For each column, divide each element by the column sum ↳ The purpose is normalize each column so that the numbers sum to 1. In other words, each column is a probability distribution of attention, and we have four of them. ↳ The result is the Attention Weight Matrix (A) (yellow) [9] 🟦 MatMul ↳ Multiply the value vectors (Vs) with the Attention Weight Matrix (A) ↳ The results are the attention weighted features Zs. ↳ They are fed to the position-wise feed forward network in the next layer.

Tom Yeh

101,010 просмотров • 2 лет назад

The most dangerous thing a company can do right now is rent intelligence from the same place as its competitors (Save this). You cannot rent intelligence from the same place that rents it to your competitor as Chamath Palihapitiya points out. If every company in an industry is feeding their workflows into the same frontier model, they are all converging on the same outputs, the same decisions, the same product improvements. The model becomes the equalizer and everyone pays a premium to become more mediocre. This is happening exactly as Chamath predicted, and the evidence is now concrete. Anthropic and OpenAI have established what analysts are now openly calling an emerging model layer duopoly. Anthropic crossed $45 billion ARR in may 2026, more than tripling from $9 billion at the end of 2025, OpenAI was at roughly $24 to $33 billion ARR at the same time. Together, the two companies combined could hit $160 to $240 billion ARR by end of 2026 and Anthropic and OpenAI now control 88% of enterprise LLM spend. That concentration is the structural problem Chamath is pointing at. And Anthropic isn't just winning on merit because it's actively lobbying for regulatory outcomes that would make that duopoly permanent. Dario Amodei has explicitly framed open source models as unsafe, pushing a safety agenda that, if enshrined in regulation, would effectively make it illegal for enterprises to use the cheaper, private, sovereign alternatives locking them into a closed model dependency by government decree rather than by choice. So you have market forces producing a duopoly, and potential regulatory capture moving to enforce it from the top down. This is exactly why the Nvidia Palantir partnership is not just a product announcement but rather a strategic counter to that duopoly. The logic is straightforward from both sides because If you're Palantir, sitting at the application layer, the last thing you want is to be permanently beholden to Anthropic or OpenAI for the intelligence that powers your product. You want competitive model options, sovereignty and be able to tell enterprise customers they can run AI on their own infrastructure with their own data without any of it touching a frontier lab's servers. If you're Nvidia, sitting at the chip layer, an Anthropic-OpenAI duopoly is an existential concentration risk. Right now, Meta, Google, Microsoft, Amazon, and dozens of other companies buy Nvidia's hardware. If the model layer consolidates into two players, both of which are building their own chips Nvidia faces a monopsony where its best customers are building the tools to displace it. A healthy open source ecosystem where thousands of enterprises train, fine tune, and deploy their own models is Nvidia's ideal market structure. More buyers, more diversity, more demand, less pricing leverage from any single customer.

Milk Road AI

34,385 просмотров • 1 месяц назад