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Imagine Gendυ generation using someone's disease to target Modi & play victim as well. Aur kitna neechta ki hadd paar karoge 😡🤬

56,053 views • 29 days ago •via X (Twitter)

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The Anti-Dutertes are dismissing the photos and videos of President Duterte sleeping or resting or even during the preliminaries at the ICC as drama or fake. The guy is 80 years old. Back in 2019, he revealed that he was suffering from “myasthenia gravis, a nerve malfunction that causes muscle weakness that can result in drooping of eyelids, blurred vision as well as weakness in one’s extremities. Up to 20% of people who have the disease experience at least one “crisis” that requires them to use a ventilator to help breathe.” Also remember, he used to take fentanyl as prescribed by his doctor, a potent opioid painkiller, because of the pain from a spinal injury caused by other motorcycle accidents when he was younger. (He stopped using his prescription back in 2016, because the drug is a highly addictive drug.) Watch the video from his March visit to Hong Kong, his frail condition is clearly visible. Now, consider that frailty alongside an average 20-hour flight to The Hague, plus a 7-hour time difference (The Hague is 7 hours behind Manila). Can you imagine the impact of jet lag on someone his age? Recovery time from jet lag gets longer as you age. So no, dear Anti-Dutertes, he’s not faking it. Didn’t you yourself start questioning Duterte’s health as far back as 2017? Why dismiss this old guy’s condition as drama. His mouth is still fiery but his body is understandably fragile. You supporters of Imelda Marcos and JPE should understand of all people.

Lu68Ca🇵🇭

36,267 views • 1 year ago

Hexagons and Octagons Those who follow football and coaching will be well aware that there are trends that emerge and become the great break through in coaching, only to vanish quite quickly. A few stick around and become a staple. Such as the rondo, or the 4v4+4 Guardiola rondo variation. One that did not stick around in the coaching collective consciousness that possible should have was Thomas Tuchel’s use of hexagonal and octagonal playing areas in training sessions. Tuchel explained that cutting off the corners and angling the pitch forced “sharp diagonal” passes that would help break the press. The positioning of players outside the hexagon/octagon or players close to the edges will be manipulated into an open body shape by the angles of the pitch. Players are impacted by environmental constraints and embodied cognition, where the geography of the playing area influences their actions. This influence spreads to the creation of triangles and diamonds within the playing area due to the “funnel” like nature of the playing area. We can use the cut outside angles by placing bounce or target players on the exterior, influencing the movement and organisation internally. The inside players will not have to move wide as those areas are occupied. The internal players will seek to create passing angles using the positioning of the outside players and their internal team mates. The diamonds and triangles will appear. If we leave the spaces on the outside empty players can move to fill the spaces. These act as free spaces to receive from the goalkeeper or open spaces for attackers to overlap into, encouraging attacking combination play and crosses. A different way of using the space is to remove goals and goalkeepers from the ends and place bounce/target players on the outside. Players now can combine with the outside players, when they do so they are then free to finish into the outside goals. The condition can be extended to combining with the target player in the opposite side of the pitch before scoring, adding an element of switching play. The hexagon and octagon are versatile spaces that help to replicate aspects of the game. By funneling the spaces we impact players body shape, ability to play forward quickly, team shape (or small group shapes), players cutting in, defending centrally, the types of combination used and the angles of line breaking pass (diagonals). The angles are hugely significant for teams that value combinations and possession football, Straight passes and receiving angles are much easier to intercept and carry high risks for being counter attacked. Short diagonals can bypass players and attacking shapes, creating angled connections. If an angles pass is given away there is still a risk of being counter attacked but there is more chance of having players around the ball to regain possession. To counter press. The question that emerges is should we then be using hexagons and octagons more? If they are of greater benefit than squares and rectangles, why use them? Should all pitches, including those of a small sided nature be hexagonal? Can the rondo square be replaced by the rondo octagon?

TheBeardedCoach

13,461 views • 6 months ago

Yet another scam by DFCCIL Kharbao Viaduct of WDFC connecting DFC to IR lines being demolished after Deck slab as well as parapet work was completed. May it affect the deadline or not, how is this wastage justified Ashwini Vaishnaw Ministry of Railways Narendra Modi Well ofcourse DFCCIL Babus will justify this by saying something like 'Technical Issue' now, but can someone clarify my simple doubt, what are the engineers doing when this was being Planned, and executed? Were those morons sleeping when the work was in Piling stage, Pier construction, girder casting abd launching..? Deck slab banate waqt kidhar ghusa baitha tha inka issues? Well, this isn't the first issue of similar scam. The alignment after WR's Boisar station was re-laid after the main one almost finished upto Blanket level and drainage. Alignment me issue tha to earthwork ke stage me nahi samjha? The Pier cap of ROB in Liue of Palghar LC was demolished after it was completed and even painted, saying it is short to cross about high rise line. Jab casting ho raha tha tab nahi dikha ke chhota hai? I've all the sequential photos of these scams if anyone has doubts. "All LCs need to be closed for DFC", and currently WDFC is working till Saphale with Umroli and Boisar LC fully operational These 2-3 are ones which I've personally seen and understood. Pure WDFC me aur kitna hoga which go unnoticed by every commoner. Sahil P Sagar🇮🇳 Chandrashekhar Dhage The Metro Rail Guy InfraStory Infra News India (INI) I guess, may it be Govt project or Private, there's always stage wise approval before moving to next stage in any civil construction. DFCCIL ke engineers sote hai ya Sabko packet milta hai ye aise scams ka? Jo Viaduct demolish kiya uske just bagal me HSR ban raha hai unse sikho SOP and accuracy. Logo ko sanajhta nahi to jam ke corruption and scam karne ka playground hai DFCCIL. And the people who tag Other useful projects like Metros, Bullet, Sealinks as 'Waste of Taxpayer's Money' become blind and illiterate when it comes to a PSU which actually scams people by looting thier tax money, without them even knowing. How smart.

Saurabh Raut 🇮🇳

82,181 views • 1 year ago

This video, created by my dear coauthor Mahdi E Kahou for our teaching and papers, shows how overparameterized neural networks produce smooth function approximations even in the context of the Runge phenomenon. Some background. Imagine you want to approximate the Runge function using polynomial interpolation at equally spaced points. It is well known that, despite targeting an infinitely differentiable function, such a polynomial approximation produces oscillatory behavior that worsens with the degree of the polynomial. In other words, higher-degree polynomial approximations might not improve accuracy. Instead, approximate the Runge function with a neural network (here, two layers are just to make the example concrete; nothing fundamental depends on it). As you increase the number of parameters well above the 11 training points (in our example, a two-layer neural network with 128 nodes each), you nicely converge to the target, without wild oscillations. Yes, this has much to do with double descent and benign overparameterization, but the main punchline of this post is that neural networks are really very different types of animals than polynomial approximations. And yes, Chebyshev nodes and splines exist, and in this case, they will prevent the oscillations. But that's not the point. Chebyshev nodes and splines still confront Faber’s theorem, which states that for any system of polynomial interpolation nodes, there exists a continuous function whose sequence of interpolating polynomials diverges as the number of nodes grows to infinity. Faber’s theorem does not apply to neural networks because they are not polynomials. The notebook, if you want to check the details, is here: Stay tuned for more on this 👀

Jesús Fernández-Villaverde

47,212 views • 3 months ago

If this weren’t so tragic, it would be hilarious. This regime just can’t help itself when it comes to blame shifting. When the US was the manufacturing powerhouse of the world and was getting exponentially richer each year, providing Europe with the materials to rebuild after WWII, the greed of the rich dictated that they wanted yet more profit. Human labour was their biggest cost and as such was inhibiting their bottom line. So under Reagan, they decided to throw American workers under the bus and ship jobs and in some cases whole manufacturing plants to China. That was a conscious and deliberate decision. This accelerated under Clinton, as the sole focus of American corporations was on profit. They were happy to destroy US manufacturing to simply make more money. China said ‘Thanks very much’ and used the American investment to lift 850 million Chinese out of absolute poverty and build the most advanced infrastructure in the world. They did that with greedy American’s money because they don’t have a shareholder class. As a result, China now has the most advanced automated manufacturing systems and are now the manufacturing capital of the world. The American response? Play the victim, impose tariffs and attempt to choke Chinese progress and innovation by taxing Americans to do it. The result? China has a $1.2 trillion trade surplus, as well as infrastructure across Africa, Europe and South America. It controls 80% of global rare earth processing and owns almost $700 billion of U.S. sovereign debt. That’s before we talk about them seeking to dominate the global AI Tech Stack and robotics space, all while leading the world in nuclear technology and cheap renewable energy, outpacing US energy generation capacity. Don’t blame China for the biggest economic fuck up in history. As a result of Trump’s short sighted imbecilic policies, is far from hot, it’s simply a legend it its own lunch break. His obsession with power and stuffing his own pockets with money is breaking America. The American people deserve better and above all deserve to know the truth, that this corrupt regime is NOT winning on anything except economic and geopolitical incompetence at which they have become world champions. Trump’s delusional belief that the U.S. is respected is embarrassing. The world is laughing, in the knowledge that it is rewiring trade and security ties quietly in the background. Inside a decade the U.S. is facing irrelevance in what will be a new world order in which they no longer call the shots. Empires rise and fall as do reserve currencies. China can smell blood in the water and if it’s one thing China excels at, it’s playing the long game. It doesn’t have to worry about four year election cycles or a fickle voting public. It can wait as the economic lifeblood is drained from a nation eating itself alive. They’re happy to wait, because they have global infrastructure in place, highly advanced manufacturing and AI capable economy with a pipeline of highly educated graduates. Their shift away from fossil fuel imports dependency with an objective to electrify the nation using low cost renewable and next generation nuclear energy, is all baked into their roadmap. The days of America dictating the future are receding. The change will not happen overnight, and China is fine with that. They’re prepared to wait as long as it takes for the U.S. to slowly self suffocate. The sad thing is, because of Trump, and his treatment of longstanding allies, nobody will lift a finger to help the U.S. without the kind of concessions that will further diminish American standing on the world stage. If Democrats think it just needs a change of government to make things better, those days are long gone. It will take a generation to repair the damage done. People don’t easily forget extortion attempts and arrogant posturing. We are at a true inflection point, sadly it’s not one recognised by the delusional convicted criminal in the White House.

𝔗𝔯𝔲𝔱𝔥 𝔐𝔞𝔱𝔱𝔢𝔯𝔰

80,713 views • 6 months ago

A lot of people like to hate on Frank , will do a one take on my POV as a Solana bot tool owner Hawk AI Just watched a 4H space with him inside, after 12H scanning and building. It was hilarious, and I absolutely agreed with many of his points. 1) Many people farm clout and engagement by using him as the model (with little Zach style investigation on on-chain transactions, buying before tweet etc) 2) Information edge is under appreciated in the trenches. People want to just win, with no risk or time invested. Most traders don’t understand the nuances, the losses, the lessons. And there’s simply no way to teach this other than muscle memory and watching the chart 1000 times. I am scanning 12-18H a day for last four months, I sleep at 10am 80% of days. I hit many runners decently, and still lose or miss out on some. Couldn’t even get perfect entry ($2B vs $1B) on Melania cause I got rugged on TikTok before it, and sometimes I sell way too early. Narrative VAL ceilings. Exact fees and settings. Large buys and sells. All lessons. 0 insiders / cabal groups. I didn’t get burned on LIBRA because it felt off, same feeling with the retweets, doesn’t feel supportive, felt like a paid shill. Poor launch. Do you expect to beat challengers in League, or Top Poker players who grind the GTO/Exploitative chart as a new gamer/entrant? Game is game. Navigating insider information isn’t as easy as people think either at times, because insiders has bags, they can use you(him) to dump as EL, and to also frame him as target. If I was Frank, I’d most likely avoid “insider noise” and do my own trading. Honestly, as a terminally online trench trader who tracks his along other wallets I respect, I can’t lie I respect the trades. Many times it isn’t a buy+dump like most wallets farming small SOLs. And he gets rugged plenty of times too. It’s like watching a +EV Poker YouTuber play poker. Views and subscribers (copytraders) + Actual trench trading (betting well on runners, from AI coins like SNAI where we had similar entries), and scaling out respectfully. And I was tracking that publicly too with tweets. Until further (official) evidence, I’ll continue to stand on neutral or supportive. Of course, this is only in context from a TRADER to another TRADER. Rest my case. 🫡

Snafu | Onramp

227,463 views • 1 year ago

This is WILD! Nvidia just launched something that could compress the most expensive process in medicine from 12 years to 12 months. BioNeMo Agent Toolkit is an open, agent-ready platform that turns AI agents into autonomous scientific workers, giving them the ability to run real drug discovery workflows instead of just generating ideas. And more than 50 companies are already using it, including Anthropic, OpenAI, Eli Lilly, Databricks, Snowflake, Dassault Systèmes and Schrödinger. Here is what it actually does. Traditional drug discovery costs an average of $2.6 billion per drug and takes over a decade. Most of that time and money goes into screening millions of compounds, designing proteins that bind to disease targets and running countless lab experiments to validate whether something works. BioNeMo agents now do all of that computationally before a single lab experiment begins. The demo Nvidia shared makes the speed impossible to ignore. An agent was asked to design 10 protein binders for PD-L1, a critical cancer immunotherapy target and it completed the full design, co-folding, scoring, and 3D structural analysis on GPU in under 90 seconds. What used to require weeks of wet lab work and PhD-level expertise now runs as a callable tool inside an AI workflow. The four core capabilities are virtual drug screening, protein binder design, genomic analysis, and medical imaging each one compressing tasks that previously took weeks into minutes. The institutional validation behind this is unusually strong. Nvidia and Eli Lilly announced a joint investment of up to $1 billion over five years to build a co-innovation lab running entirely on BioNeMo. The University of Washington's Institute for Protein Design is already running RosettaFold3 at 2x faster performance than the prior generation. And the market this unlocks is enormous, and Nvidia is sitting right at the center of it. The AI drug discovery market is projected to grow from $2.9 billion in 2026 to $13.8 billion by 2033 and McKinsey estimates generative AI could deliver $60 to $110 billion in annual economic value to pharma. Bullish on drug discovery!

Milk Road AI

23,215 views • 2 months ago