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Difficulty = Value

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33,959 görüntüleme • 1 yıl önce •via X (Twitter)

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@grok can you elaborate more on this?

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True

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@Cobratate

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@EthanMillerX2 this is crazy good read it like a script structured position hit my yearly goal

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Scarcity = value

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Pure Truth

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Some woman just gotta go tho, you have to know what is valuable

Benzer Videolar

Difficulty ~ Value
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Difficulty ~ Value

Neo

32,992 görüntüleme • 1 yıl önce

Same routines .. team final and event final .. with different difficulty value🥹🥹
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Same routines .. team final and event final .. with different difficulty value🥹🥹

Nadia Comaneci

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Chris Williamson reveals a lesson that he learned from Joe Rogan when he was on his podcast. "I called it 'Rogan's value difficulty conflation.'"
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Chris Williamson reveals a lesson that he learned from Joe Rogan when he was on his podcast. "I called it 'Rogan's value difficulty conflation.'"

Joe Rogan Podcast News

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The plane carrying the players of the PSG football club, whose total transfer value is almost 900 million euros, had difficulty landing at the airport in the Spanish city of Bilbao.
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The plane carrying the players of the PSG football club, whose total transfer value is almost 900 million euros, had difficulty landing at the airport in the Spanish city of Bilbao.

S p r i n t e r

1,028,117 görüntüleme • 7 ay önce

Wealthy individuals paid €80,000–€100,000 (in today’s value) to be taken to Bosnian Serb sniper positions overlooking Sarajevo and shoot civilians, with witnesses describing a price list based on shot difficulty; children were cited as the most expensive targets. #OpDeathEaters
0:51

Wealthy individuals paid €80,000–€100,000 (in today’s value) to be taken to Bosnian Serb sniper positions overlooking Sarajevo and shoot civilians, with witnesses describing a price list based on shot difficulty; children were cited as the most expensive targets. #OpDeathEaters

Anonymous

41,618 görüntüleme • 5 ay önce

Difficulty and value are inexorably linked. The only thing that gives said objective value at all is its difficulty. If money was everywhere, along with huge piles of gold, on every street corner - it would have no value at all. Understand that it is the difficulty that delivers the DESIRE at all. YOU WOULDN’T WANT IT IF IT WASN’T HARD. Therefore... Complaining that it’s hard is a LOGIC FAIL. People complaining about things being hard is as stupid as complaining things are valuable. "Getting a 6 pack is hard" = "Getting a 6 pack is valuable" Be glad it’s hard. If it wasn’t you wouldn’t want it. Or you’d already have it along with everyone else and nobody would care. Hard to make a million bucks, that’s why it’s worth..... a million bucks. If it wasn’t, it wouldn’t be. I always say to replace the word HAVE with GET for an instant mindset shift. "I GET to go to work today" Here’s another: Replace the word HARD with IMPORTANT and you will instantly see how motivation appears from thin air. "Making money is important" "Being in good shape is important" Yes. It is. This allows you to eliminate the need for willpower, experience the world in a new light, and find a mental fortitude you never knew existed. Now... What will you do with it? Learn more:
0:56

Difficulty and value are inexorably linked. The only thing that gives said objective value at all is its difficulty. If money was everywhere, along with huge piles of gold, on every street corner - it would have no value at all. Understand that it is the difficulty that delivers the DESIRE at all. YOU WOULDN’T WANT IT IF IT WASN’T HARD. Therefore... Complaining that it’s hard is a LOGIC FAIL. People complaining about things being hard is as stupid as complaining things are valuable. "Getting a 6 pack is hard" = "Getting a 6 pack is valuable" Be glad it’s hard. If it wasn’t you wouldn’t want it. Or you’d already have it along with everyone else and nobody would care. Hard to make a million bucks, that’s why it’s worth..... a million bucks. If it wasn’t, it wouldn’t be. I always say to replace the word HAVE with GET for an instant mindset shift. "I GET to go to work today" Here’s another: Replace the word HARD with IMPORTANT and you will instantly see how motivation appears from thin air. "Making money is important" "Being in good shape is important" Yes. It is. This allows you to eliminate the need for willpower, experience the world in a new light, and find a mental fortitude you never knew existed. Now... What will you do with it? Learn more:

Andrew Tate

3,360,946 görüntüleme • 3 yıl önce

🚨Canada's government is handing out taxpayer dollars and can't even account to what work or how much work is being done. Auditor General of Canada Karen Hogan: "We found a contract where there were 25 resources and department could only provide us with a timesheet for one of them, and that's why I am having difficulty saying they received value for their money." But if the private sector ran the way the government runs the CRA will be all over them for years.
0:34

🚨Canada's government is handing out taxpayer dollars and can't even account to what work or how much work is being done. Auditor General of Canada Karen Hogan: "We found a contract where there were 25 resources and department could only provide us with a timesheet for one of them, and that's why I am having difficulty saying they received value for their money." But if the private sector ran the way the government runs the CRA will be all over them for years.

Kirk Lubimov

70,534 görüntüleme • 1 yıl önce

Behold! The self-proclaimed Mother of All Games! Scorched Earth, by Wendell Hicken, was released as shareware in 1991. It wasn't going to win awards for groundbreaking graphics, yet it's one of the best multiplayer games ever - highly addictive with endless replay value. It let you customize a huge range of settings, from gravity, wind, and meteor showers to many others. Building on earlier games like QBasic Gorillas, it took the concept to a much higher level, supporting up to 10 players with far greater complexity and variety. You set angle and power to aim, with a wide choice of weapons (unlike the banana in QBasic Gorillas, for anyone who remembers). Computer-controlled enemies ranged from difficulty 1 (Moron) to 10 (Cyborg). No other game has named its lowest difficulty level so perfectly! Wendell Hicken, the Quentin Tarantino of game developers!
2:11

Behold! The self-proclaimed Mother of All Games! Scorched Earth, by Wendell Hicken, was released as shareware in 1991. It wasn't going to win awards for groundbreaking graphics, yet it's one of the best multiplayer games ever - highly addictive with endless replay value. It let you customize a huge range of settings, from gravity, wind, and meteor showers to many others. Building on earlier games like QBasic Gorillas, it took the concept to a much higher level, supporting up to 10 players with far greater complexity and variety. You set angle and power to aim, with a wide choice of weapons (unlike the banana in QBasic Gorillas, for anyone who remembers). Computer-controlled enemies ranged from difficulty 1 (Moron) to 10 (Cyborg). No other game has named its lowest difficulty level so perfectly! Wendell Hicken, the Quentin Tarantino of game developers!

exQUIZitely 🕹️

75,348 görüntüleme • 1 ay önce

🇨🇦🦅🏡 : BC Premier David Eby implies the BC Supreme Court lied to him about ensuring private property would not be on the table in the Cowichan land treaty decision and admits it’s causing great uncertainty. Eby then says people are still able to sell their property but admits the court decision has likely impacted their property value. David also says he doesn’t know if people are having difficulty getting loans for their property, since the decision. How does he not know? Isn't the answer a simple phone call away?
1:54

🇨🇦🦅🏡 : BC Premier David Eby implies the BC Supreme Court lied to him about ensuring private property would not be on the table in the Cowichan land treaty decision and admits it’s causing great uncertainty. Eby then says people are still able to sell their property but admits the court decision has likely impacted their property value. David also says he doesn’t know if people are having difficulty getting loans for their property, since the decision. How does he not know? Isn't the answer a simple phone call away?

Bruce McGonigal

326,287 görüntüleme • 8 ay önce

One of my all-time favourite games is the original Civilization from 1991. The number of hours I spent playing it is way too high, but the memories are all worth it. At some point, I set myself challenges, for example playing on the highest difficulty against the maximum number of opponents, and limiting my tech choices. Right at the start, the options "Horseback Riding" and "The Wheel" are dead-end choices. It doesn't make them obsolete (Horseback Riding will get you to Chivalry – but the road ends there… and The Wheel will eventually come into play when you research Engineering), but obviously there are much better choices at the start such as "Alphabet", "Masonry", and "Pottery" (though a dead-end tech, you still need it for Granaries). My #1 goal was usually to get to the wonders of Darwin's Voyage (2 tech advances, incredible value) and J.S. Bach's Cathedral (reducing the number of unhappy citizens in your cities by 2, also incredible value). The little animation below shows my standard tech-tree path towards both those goals. What made Civilization so incredibly wonderful and gave it such a high level of replayability was the optionality. Apart from setting planet size and conditions, you could adjust difficulty levels and then also handicap yourself through deliberate self-imposed limitations, just to see what would happen and if you could still win. Man, I love this game. What were your first two or three tech choices and what wonders did you aim for early on?
0:45

One of my all-time favourite games is the original Civilization from 1991. The number of hours I spent playing it is way too high, but the memories are all worth it. At some point, I set myself challenges, for example playing on the highest difficulty against the maximum number of opponents, and limiting my tech choices. Right at the start, the options "Horseback Riding" and "The Wheel" are dead-end choices. It doesn't make them obsolete (Horseback Riding will get you to Chivalry – but the road ends there… and The Wheel will eventually come into play when you research Engineering), but obviously there are much better choices at the start such as "Alphabet", "Masonry", and "Pottery" (though a dead-end tech, you still need it for Granaries). My #1 goal was usually to get to the wonders of Darwin's Voyage (2 tech advances, incredible value) and J.S. Bach's Cathedral (reducing the number of unhappy citizens in your cities by 2, also incredible value). The little animation below shows my standard tech-tree path towards both those goals. What made Civilization so incredibly wonderful and gave it such a high level of replayability was the optionality. Apart from setting planet size and conditions, you could adjust difficulty levels and then also handicap yourself through deliberate self-imposed limitations, just to see what would happen and if you could still win. Man, I love this game. What were your first two or three tech choices and what wonders did you aim for early on?

exQUIZitely 🕹️

13,029 görüntüleme • 5 ay önce

Mikel Arteta on the 1-0 victory over Crystal Palace for Arsenal: 🗣️ “I just told the boys that I probably value this victory more than any other victory this season, because we knew the difficulty of it after playing every three days. “We had a big opportunity as well with the things that happened during this weekend and I knew we played against a team that, in my opinion, has been one of the best recently in terms of organisation, how difficult they make it, how frustrated they can make you, and the moment that you lose that concentration, they will punish you. “We have managed to be very stable, playing the game that we have to play. In the first half we were a bit stuck, but we found a way to score a goal and in the second half we attacked better and were more fluent. “But with 1-0, we knew that we had to suffer because a team has to score goals to beat any other opponent this season, so to keep the clean sheet is very important.”
0:57

Mikel Arteta on the 1-0 victory over Crystal Palace for Arsenal: 🗣️ “I just told the boys that I probably value this victory more than any other victory this season, because we knew the difficulty of it after playing every three days. “We had a big opportunity as well with the things that happened during this weekend and I knew we played against a team that, in my opinion, has been one of the best recently in terms of organisation, how difficult they make it, how frustrated they can make you, and the moment that you lose that concentration, they will punish you. “We have managed to be very stable, playing the game that we have to play. In the first half we were a bit stuck, but we found a way to score a goal and in the second half we attacked better and were more fluent. “But with 1-0, we knew that we had to suffer because a team has to score goals to beat any other opponent this season, so to keep the clean sheet is very important.”

Connor Humm

217,764 görüntüleme • 8 ay önce

My spoiler free thoughts on Saros so far: I’m definitely finishing this way faster than Returnal. I’m almost at 10 hours now, and if tomorrow goes well, I might actually wrap it up. The game is clearly more approachable, especially if you already understand this style of gameplay. That doesn’t mean it’s “easy”. There’s still plenty of challenge, and the boss fights and the whole gameplay loop have been really good so far. It’s just not the same level of punishment as Returnal, where one death could wipe basically everything and make a whole run feel wasted if you didn’t beat the biome boss. The game looks incredible, and the haptic feedback is on point again. Housemarque really knows how to get the most out of the DualSense and make every action feel great. The atmosphere also deserves a mention. The way the environments, sound design, and pacing come together makes every area feel alive. It’s not just pretty visuals, it’s the whole vibe of the world pulling you in. I’ll admit I would’ve loved the difficulty to match Returnal, but I get why they toned it down. A huge percentage of players didn’t even beat the first boss in Returnal, and Saros gives you ways to adjust the experience. You can push it harder or make it more forgiving depending on how you want to play. It’s also the type of game where the quality genuinely matches the price. You can feel the production value everywhere. And without going into spoilers, the story has my attention. It’s not something spectacular, but it’s engaging enough that I actually care about what’s happening, which rarely happens for me in games. I’m genuinely glad I picked it up. I had a great time today and didn’t even notice the hours passing. If you were interested in Returnal but bounced off the difficulty, or you always wanted to finish it but couldn’t, Saros is absolutely worth trying. The boss fights and the gameplay so far have been really good.
1:04

My spoiler free thoughts on Saros so far: I’m definitely finishing this way faster than Returnal. I’m almost at 10 hours now, and if tomorrow goes well, I might actually wrap it up. The game is clearly more approachable, especially if you already understand this style of gameplay. That doesn’t mean it’s “easy”. There’s still plenty of challenge, and the boss fights and the whole gameplay loop have been really good so far. It’s just not the same level of punishment as Returnal, where one death could wipe basically everything and make a whole run feel wasted if you didn’t beat the biome boss. The game looks incredible, and the haptic feedback is on point again. Housemarque really knows how to get the most out of the DualSense and make every action feel great. The atmosphere also deserves a mention. The way the environments, sound design, and pacing come together makes every area feel alive. It’s not just pretty visuals, it’s the whole vibe of the world pulling you in. I’ll admit I would’ve loved the difficulty to match Returnal, but I get why they toned it down. A huge percentage of players didn’t even beat the first boss in Returnal, and Saros gives you ways to adjust the experience. You can push it harder or make it more forgiving depending on how you want to play. It’s also the type of game where the quality genuinely matches the price. You can feel the production value everywhere. And without going into spoilers, the story has my attention. It’s not something spectacular, but it’s engaging enough that I actually care about what’s happening, which rarely happens for me in games. I’m genuinely glad I picked it up. I had a great time today and didn’t even notice the hours passing. If you were interested in Returnal but bounced off the difficulty, or you always wanted to finish it but couldn’t, Saros is absolutely worth trying. The boss fights and the gameplay so far have been really good.

𝙉𝙄𝙆𝙁𝙊𝙍

20,019 görüntüleme • 2 ay önce

Neuroscientist Dr. Jeff Beck from Noumenal Labs discusses the fundamental nature of representation, understanding, and modelling, comparing biological intelligence with current artificial intelligence. Jeff argues that *how* information is represented dictates predictive ability and that LLMs, while impressive at symbol manipulation and pattern matching (like next-word prediction), lack the *grounded*, causal understanding of the world inherent in biological systems. Timestamps: 00:00 - Cat visual cortex experiments & discovering orientation sensitivity (slide projector analogy) 01:49 - Representation choice and neural coding (orientation vs. feature intensity) 02:30 - Choice of representation impacts predictions; generative models 03:15 - Importance of choosing the right generative model for predictions 03:35 - The problem: We don't know the brain's true generative model 03:55 - Theory of Mind (ToM) in LLMs 04:05 - Jeff Beck's ToM tests on early ChatGPT (stapler example) 05:40 - ChatGPT recognizing the ToM test vs. passing it 06:32 - Analogy: LLMs recognizing known problems vs. generalizing (sum/product riddle) 07:25 - Do LLMs implicitly build world models? Vicarious experience analogy 07:59 - The difference: Grounding symbols in reality outside language 08:35 - AI Alignment: Difficulty in capturing human reward functions & belief formation 09:21 - Nightmare scenario: Humans as "complacent value function selectors" 09:44 - Hope: AI enhancing human understanding, not replacing thought 10:08 - Philosophy of science: Science realism vs. modeling pockets of regularity 10:39 - Noise in models as ignorance or deliberate exclusion (design choice) 11:00 - Design choices in science, controlled experiments, and induced bias 11:29 - Are there true, discoverable mathematical laws of the universe? 11:41 - Is there a "true" ground truth distribution (P)? Beck's answer: No (with nuance) 12:55 - Ontological vs. Epistemological divide: Perfect models vs. models of regularities 13:21 - Are scientific models "false by definition"? The Bayesian perspective 14:07 - "All knowledge is conditional"; Are foundational theories (e.g., FEP) true or just perspectives? 14:51 - FEP as a mathematical framework, not a theory; models are just models 15:54 - Legibility vs. Utility: Useful but illegible AI models 16:01 - Prediction vs. Explanation: Trusting black boxes can be unsatisfying 16:30 - Why understanding AI matters: Ensuring alignment with human decisions/values 17:08 - Line-of-sight legibility as an alignment approach 17:14 - Benefits of explainable AI: Human understanding and value alignment verification 18:21 - RL components: Prediction engine, reward function, policy; the alignment challenge 19:25 - Trusting AI = Trusting its policy aligns with our reward + its superior beliefs 19:57 - Language: Intrinsic representation vs. pointers between shared minds 20:21 - Why language works: Shared internal models and common grounding 21:00 - Basis of shared understanding: Not linguistic, but shared experience/intuitive physics 22:44 - Consciousness and language as lossy, simplified summaries of complex brain processes 23:22 - Evidence for simplification: Brain regions, perception vs. representation; limits of language models 24:32 - Counterpoint: Language captures complex/ambiguous human concepts 24:54 - Language as massive compression: The information bottleneck (Meister's paper) 26:22 - Implication: Language/actions are poor representations of internal understanding 27:03 - Can language models understand? The mimicry argument (Piantadosi) 27:33 - Beck's skepticism: LLMs excel at prediction/mimicry, not true understanding 28:09 - LLM explanations replicate structure but lack grounding 28:54 - Beck's test for LLM understanding: Genuine novelty beyond training data 29:19 - Summary: Symbol manipulation is not understanding; grounding is key 30:06 - Abstraction and Idealization in scientific modeling ("The Brain Abstracted") 30:45 - Revisiting Newton: Intuitive physics is correct for our world; idealizations are simplifications 32:01 - Sophistication & boundaries: Nested systems vs. one complex system? 32:32 - The boundary problem in FEP/Markov Blankets: Where to partition? 33:41 - Beck's research: Finding principled partitions based on interaction dynamics 35:44 - Beyond direct experience: Imagination, language, and learning 36:16 - Human creativity: Creating new *things* by combining modeled objects (Systems Engineering) 37:43 - Goal for AI: Automating systems engineering for creative combination 38:17 - Sutton's "Reward is Enough" paper 38:25 - The challenge of "Reward is Enough": Defining and obtaining the *right* reward function 39:02 - Difficulty of eliciting individual reward functions 39:52 - The core alignment problem: Accessing and representing individual reward functions 40:13 - Impossibility: Disentangling beliefs and rewards from observed actions 41:51 - Argument analogy: Disagreements stem from different beliefs or values 43:00 - Prerequisite for value inference: Understanding belief formation 43:13 - Building aligned systems: Sparsity of data, meta-models vs. base system modification 43:46 - Proposed solution: AI layer that models the human's belief formation system 44:40 - Alignment process: Align beliefs first, then address value differences 45:00 - Conclusion CC Maxwell Ramstead
45:03

Neuroscientist Dr. Jeff Beck from Noumenal Labs discusses the fundamental nature of representation, understanding, and modelling, comparing biological intelligence with current artificial intelligence. Jeff argues that *how* information is represented dictates predictive ability and that LLMs, while impressive at symbol manipulation and pattern matching (like next-word prediction), lack the *grounded*, causal understanding of the world inherent in biological systems. Timestamps: 00:00 - Cat visual cortex experiments & discovering orientation sensitivity (slide projector analogy) 01:49 - Representation choice and neural coding (orientation vs. feature intensity) 02:30 - Choice of representation impacts predictions; generative models 03:15 - Importance of choosing the right generative model for predictions 03:35 - The problem: We don't know the brain's true generative model 03:55 - Theory of Mind (ToM) in LLMs 04:05 - Jeff Beck's ToM tests on early ChatGPT (stapler example) 05:40 - ChatGPT recognizing the ToM test vs. passing it 06:32 - Analogy: LLMs recognizing known problems vs. generalizing (sum/product riddle) 07:25 - Do LLMs implicitly build world models? Vicarious experience analogy 07:59 - The difference: Grounding symbols in reality outside language 08:35 - AI Alignment: Difficulty in capturing human reward functions & belief formation 09:21 - Nightmare scenario: Humans as "complacent value function selectors" 09:44 - Hope: AI enhancing human understanding, not replacing thought 10:08 - Philosophy of science: Science realism vs. modeling pockets of regularity 10:39 - Noise in models as ignorance or deliberate exclusion (design choice) 11:00 - Design choices in science, controlled experiments, and induced bias 11:29 - Are there true, discoverable mathematical laws of the universe? 11:41 - Is there a "true" ground truth distribution (P)? Beck's answer: No (with nuance) 12:55 - Ontological vs. Epistemological divide: Perfect models vs. models of regularities 13:21 - Are scientific models "false by definition"? The Bayesian perspective 14:07 - "All knowledge is conditional"; Are foundational theories (e.g., FEP) true or just perspectives? 14:51 - FEP as a mathematical framework, not a theory; models are just models 15:54 - Legibility vs. Utility: Useful but illegible AI models 16:01 - Prediction vs. Explanation: Trusting black boxes can be unsatisfying 16:30 - Why understanding AI matters: Ensuring alignment with human decisions/values 17:08 - Line-of-sight legibility as an alignment approach 17:14 - Benefits of explainable AI: Human understanding and value alignment verification 18:21 - RL components: Prediction engine, reward function, policy; the alignment challenge 19:25 - Trusting AI = Trusting its policy aligns with our reward + its superior beliefs 19:57 - Language: Intrinsic representation vs. pointers between shared minds 20:21 - Why language works: Shared internal models and common grounding 21:00 - Basis of shared understanding: Not linguistic, but shared experience/intuitive physics 22:44 - Consciousness and language as lossy, simplified summaries of complex brain processes 23:22 - Evidence for simplification: Brain regions, perception vs. representation; limits of language models 24:32 - Counterpoint: Language captures complex/ambiguous human concepts 24:54 - Language as massive compression: The information bottleneck (Meister's paper) 26:22 - Implication: Language/actions are poor representations of internal understanding 27:03 - Can language models understand? The mimicry argument (Piantadosi) 27:33 - Beck's skepticism: LLMs excel at prediction/mimicry, not true understanding 28:09 - LLM explanations replicate structure but lack grounding 28:54 - Beck's test for LLM understanding: Genuine novelty beyond training data 29:19 - Summary: Symbol manipulation is not understanding; grounding is key 30:06 - Abstraction and Idealization in scientific modeling ("The Brain Abstracted") 30:45 - Revisiting Newton: Intuitive physics is correct for our world; idealizations are simplifications 32:01 - Sophistication & boundaries: Nested systems vs. one complex system? 32:32 - The boundary problem in FEP/Markov Blankets: Where to partition? 33:41 - Beck's research: Finding principled partitions based on interaction dynamics 35:44 - Beyond direct experience: Imagination, language, and learning 36:16 - Human creativity: Creating new *things* by combining modeled objects (Systems Engineering) 37:43 - Goal for AI: Automating systems engineering for creative combination 38:17 - Sutton's "Reward is Enough" paper 38:25 - The challenge of "Reward is Enough": Defining and obtaining the *right* reward function 39:02 - Difficulty of eliciting individual reward functions 39:52 - The core alignment problem: Accessing and representing individual reward functions 40:13 - Impossibility: Disentangling beliefs and rewards from observed actions 41:51 - Argument analogy: Disagreements stem from different beliefs or values 43:00 - Prerequisite for value inference: Understanding belief formation 43:13 - Building aligned systems: Sparsity of data, meta-models vs. base system modification 43:46 - Proposed solution: AI layer that models the human's belief formation system 44:40 - Alignment process: Align beliefs first, then address value differences 45:00 - Conclusion CC Maxwell Ramstead

Machine Learning Street Talk

17,828 görüntüleme • 1 yıl önce

Have We Changed our Approach to Hamstring Injuries? 🎯 Five key points for clinical practice: 1⃣ - Strength and Flexibility are weak risk factors for hamstring injuries and continue to form a small but important part of the causal pathway. Although the evidence for stretching is lacking, multi-faceted prevention programmes might consider including these components to be successful in the prevention of hamstring injuries. 2⃣ - Intrinsic neuromuscular function may be altered post-injury. Clinicians should focus on returning the player to full function during the rehabilitation of hamstring injuries, which may include specific targeted intervention even after return to play. 3⃣ - Our common strength and flexibility tests have poor predictive value, and do not possess the characteristics needed to successfully identify individual players at greater risk of hamstring injury. This is evident in the large amount of variability between seasons, and poor sensitivity and specificity demonstrated for these measurements. The wide overlap in distribution of pre-season strength between injured and uninjured players demonstrates the difficulty in identifying a subgroup of at-risk players that might benefit from targeted intervention. It is therefore recommended that prevention programs be implemented for all players. 4⃣ - Workload monitoring provide another potential way in which we may reduce the risk of injury. The aggregation of chronic workload, as well as careful planning of acute workload increases, may reduce the risk of hamstring injury. However, high-level evidence to support this is lacking. 5⃣ - Understanding the context in which injuries occur and appreciating the complex nature of these injuries are important considerations to better manage players with hamstring injuries 🔗Read the full article 👉 ✍️ Roald Bahr & Nicol van Dyk
0:43

Have We Changed our Approach to Hamstring Injuries? 🎯 Five key points for clinical practice: 1⃣ - Strength and Flexibility are weak risk factors for hamstring injuries and continue to form a small but important part of the causal pathway. Although the evidence for stretching is lacking, multi-faceted prevention programmes might consider including these components to be successful in the prevention of hamstring injuries. 2⃣ - Intrinsic neuromuscular function may be altered post-injury. Clinicians should focus on returning the player to full function during the rehabilitation of hamstring injuries, which may include specific targeted intervention even after return to play. 3⃣ - Our common strength and flexibility tests have poor predictive value, and do not possess the characteristics needed to successfully identify individual players at greater risk of hamstring injury. This is evident in the large amount of variability between seasons, and poor sensitivity and specificity demonstrated for these measurements. The wide overlap in distribution of pre-season strength between injured and uninjured players demonstrates the difficulty in identifying a subgroup of at-risk players that might benefit from targeted intervention. It is therefore recommended that prevention programs be implemented for all players. 4⃣ - Workload monitoring provide another potential way in which we may reduce the risk of injury. The aggregation of chronic workload, as well as careful planning of acute workload increases, may reduce the risk of hamstring injury. However, high-level evidence to support this is lacking. 5⃣ - Understanding the context in which injuries occur and appreciating the complex nature of these injuries are important considerations to better manage players with hamstring injuries 🔗Read the full article 👉 ✍️ Roald Bahr & Nicol van Dyk

Aspetar سبيتار

11,731 görüntüleme • 2 yıl önce

PROPHETIC DECLARATIONS Father, in the name of Jesus, You placed this in my heart to teach Your people to help them to know that lack and want are a curse and that they can leave a Believer's life, when they serve The Lord diligently and passionately. I stretch my hands over everyone onsite and online and pray for you from the depths of my heart, see the marvelous hand of God in your finances. May God put it in the heart of people, even strangers to locate and bless you so mightily. For anyone in business, experiencing difficulty in locating those who need the value you carry, I connect you For those without employment, in the name of Jesus, may this year not end without you getting a job and receiving your letter of employment. I pray for anyone in debt, who borrowed money and is now in trouble, in the name of Jesus, between now and 31st of December, come out of that financial problem I pray for someone who has made careless financial decisions, thereby causing loss, in the name of Jesus, may God The Restorer restore you. For those who are not tithing, nor giving, thereby lacking spiritual roots, in the name of Jesus, the giving grace rests upon you now! I call forth your destiny helpers, you will not have to look for them yourselves, my God will bring them to you. May this be true for ministries, churches, families and individuals. Some wealthy persons looking for someone to bless, may God put your name in their hearts. For those already established, you will not fail in business, you will not lose your job. God will take you higher and higher, in the name of Jesus. #PropheticDeclarations #ApostleJoshuaSelman #KoinoniaAbuja #KoinoniaZaria #KoinoniaGlobal
5:14

PROPHETIC DECLARATIONS Father, in the name of Jesus, You placed this in my heart to teach Your people to help them to know that lack and want are a curse and that they can leave a Believer's life, when they serve The Lord diligently and passionately. I stretch my hands over everyone onsite and online and pray for you from the depths of my heart, see the marvelous hand of God in your finances. May God put it in the heart of people, even strangers to locate and bless you so mightily. For anyone in business, experiencing difficulty in locating those who need the value you carry, I connect you For those without employment, in the name of Jesus, may this year not end without you getting a job and receiving your letter of employment. I pray for anyone in debt, who borrowed money and is now in trouble, in the name of Jesus, between now and 31st of December, come out of that financial problem I pray for someone who has made careless financial decisions, thereby causing loss, in the name of Jesus, may God The Restorer restore you. For those who are not tithing, nor giving, thereby lacking spiritual roots, in the name of Jesus, the giving grace rests upon you now! I call forth your destiny helpers, you will not have to look for them yourselves, my God will bring them to you. May this be true for ministries, churches, families and individuals. Some wealthy persons looking for someone to bless, may God put your name in their hearts. For those already established, you will not fail in business, you will not lose your job. God will take you higher and higher, in the name of Jesus. #PropheticDeclarations #ApostleJoshuaSelman #KoinoniaAbuja #KoinoniaZaria #KoinoniaGlobal

Koinonia Global

50,667 görüntüleme • 2 yıl önce

"Projects like the New Deal, the Apollo program pale in comparison to what we're doing right now." 🆕 Greg Brockman (Greg Brockman) joins us to talk GPT-5, GPT-OSS, and what's next on OpenAI's road to crystallizing all of human intelligence! “Energy turns into compute, turns into intelligence… crystallizing compute into potential energy you can release again and again.” 0:00:04 - Introductions 0:01:04 - The Evolution of Reasoning at OpenAI 0:04:01 - Online vs Offline Learning in Language Models 0:06:44 - Sample Efficiency and Human Curation in Reinforcement Learning 0:08:16 - Scaling Compute and Supercritical Learning 0:13:21 - Wall clock time limitations in RL and real-world interactions 0:16:34 - Experience with ARC Institute and DNA neural networks 0:19:33 - Defining the GPT-5 Era 0:22:46 - Evaluating Model Intelligence and Task Difficulty 0:25:06 - Practical Advice for Developers Using GPT-5 0:31:48 - Model Specs 0:37:21 - Challenges in RL Preferences (e.g., try/catch) 0:39:13 - Model Routing and Hybrid Architectures in GPT-5 0:43:58 - GPT-5 pricing and compute efficiency improvements 0:46:04 - Self-Improving Coding Agents and Tool Usage 0:49:11 - On-Device Models and Local vs Remote Agent Systems 0:51:34 - Engineering at OpenAI and Leveraging LLMs 0:54:16 - Structuring Codebases and Teams for AI Optimization 0:55:27 - The Value of Engineers in the Age of AGI 0:58:42 - Current state of AI research and lab diversity 1:01:11 - OpenAI’s Prioritization and Focus Areas 1:03:05 - Advice for Founders - It's Not Too Late 1:04:20 - Future outlook and closing thoughts 1:04:33 - Time Capsule to 2045 - Future of Compute and Abundance 1:07:07 - Time Capsule to 2005 - More Problems Will Emerge
1:08:36

"Projects like the New Deal, the Apollo program pale in comparison to what we're doing right now." 🆕 Greg Brockman (Greg Brockman) joins us to talk GPT-5, GPT-OSS, and what's next on OpenAI's road to crystallizing all of human intelligence! “Energy turns into compute, turns into intelligence… crystallizing compute into potential energy you can release again and again.” 0:00:04 - Introductions 0:01:04 - The Evolution of Reasoning at OpenAI 0:04:01 - Online vs Offline Learning in Language Models 0:06:44 - Sample Efficiency and Human Curation in Reinforcement Learning 0:08:16 - Scaling Compute and Supercritical Learning 0:13:21 - Wall clock time limitations in RL and real-world interactions 0:16:34 - Experience with ARC Institute and DNA neural networks 0:19:33 - Defining the GPT-5 Era 0:22:46 - Evaluating Model Intelligence and Task Difficulty 0:25:06 - Practical Advice for Developers Using GPT-5 0:31:48 - Model Specs 0:37:21 - Challenges in RL Preferences (e.g., try/catch) 0:39:13 - Model Routing and Hybrid Architectures in GPT-5 0:43:58 - GPT-5 pricing and compute efficiency improvements 0:46:04 - Self-Improving Coding Agents and Tool Usage 0:49:11 - On-Device Models and Local vs Remote Agent Systems 0:51:34 - Engineering at OpenAI and Leveraging LLMs 0:54:16 - Structuring Codebases and Teams for AI Optimization 0:55:27 - The Value of Engineers in the Age of AGI 0:58:42 - Current state of AI research and lab diversity 1:01:11 - OpenAI’s Prioritization and Focus Areas 1:03:05 - Advice for Founders - It's Not Too Late 1:04:20 - Future outlook and closing thoughts 1:04:33 - Time Capsule to 2045 - Future of Compute and Abundance 1:07:07 - Time Capsule to 2005 - More Problems Will Emerge

Latent.Space

305,090 görüntüleme • 11 ay önce

64 Arguments Against Democratic Socialism Timestamps: 0:00 Definitions 2:28 Hyper-individualism 5:44 Universality 9:30 He Who Pays the Piper, Calls the Tune 12:37 Welfare State Turns Humans From Assets to Liabilities 15:18 Against Me 16:25 Trump Test 18:29 Zero Sum Thinking 21:05 Forcible Depravation 22:46 Monopoly Contradiction 25:27 Vilifying Producers 28:03 Competition Protects People 32:03 The Secret to Mass Consumption = Mass Production 34:30 Decreasing Prices in the Private Sector & Potential Competition 39:35 The Myth of the Rational Voter: Fake Power vs. Real Power 50:02 Social Contract Myth 53:29 "Which Happens First?" 58:45 Static Thinking Fallacy 1:03:20 Metrics for Standard of Living & Time Prices 1:07:58 Humans Are Inherently Self Interested 1:12:53 Recognizing Rights as Reciprocal 1:14:49 We Are Not the Government 1:17:29 More Power = Better Outcome Assumption 1:21:19 The Myth of "Free" 1:23:50 Iron Law of Oligarchy 1:26:50 Praxeology 1:37:55 Inequality & Trickle Down Economics 1:44:41 Domestic Imperialism 1:48:56 Regulatory Capture 1:50:48 Abolish the Police 1:53:02 The Empirical Case 1:54:08 "Me Being X Doesn't Affect You" 1:56:01 Material Mindset 1:59:16 Capital Financing Shift 2:00:30 The Value of the Capitalist 2:03:47 Opposition to Voluntary Solutions 2:07:45 Apartheid Entitlement 2:14:36 Democracy and Delegating Rights 2:17:02 The Expert Problem 2:23:45 Capitalist Time Preference 2:31:41 Capitalist Productivity 2:34:15 Self-Ownership 2:38:15 Who Defines What "Service X" is? 2:41:57 Inevitability of Scarcity 2:46:35 The Angel Argument 2:49:04 The Crimes of the 99% 2:51:09 "Poverty Causes Crime" 2:53:04 Intentions Over Results 2:57:41 Free Association = The Ultimate "Check and Balance" 3:00:31 Surplus Value 3:04:39 Firms Reduce Transaction Costs 3:08:21 Collective Action Problem 3:10:09 Empiricism, the High Cost of Experimentation, and the Difficulty in Isolating Variables 3:12:46 Each According to Their Ability? Need? 3:15:51 Disparities Prove Discrimination 3:23:58 Comparing Theory to Reality 3:31:42 Nirvana Fallacy 3:34:41 Which Collective? 3:39:20 Argument From Tolerance 3:39:50 Prices: Signal & Incentive 3:42:58 Catastrophizing 3:46:43 Stock Diversification 3:48:17 Press Conference Bias 3:50:20 Divorce and Discrimination 3:53:38 Discouraging Savings
3:58:46

64 Arguments Against Democratic Socialism Timestamps: 0:00 Definitions 2:28 Hyper-individualism 5:44 Universality 9:30 He Who Pays the Piper, Calls the Tune 12:37 Welfare State Turns Humans From Assets to Liabilities 15:18 Against Me 16:25 Trump Test 18:29 Zero Sum Thinking 21:05 Forcible Depravation 22:46 Monopoly Contradiction 25:27 Vilifying Producers 28:03 Competition Protects People 32:03 The Secret to Mass Consumption = Mass Production 34:30 Decreasing Prices in the Private Sector & Potential Competition 39:35 The Myth of the Rational Voter: Fake Power vs. Real Power 50:02 Social Contract Myth 53:29 "Which Happens First?" 58:45 Static Thinking Fallacy 1:03:20 Metrics for Standard of Living & Time Prices 1:07:58 Humans Are Inherently Self Interested 1:12:53 Recognizing Rights as Reciprocal 1:14:49 We Are Not the Government 1:17:29 More Power = Better Outcome Assumption 1:21:19 The Myth of "Free" 1:23:50 Iron Law of Oligarchy 1:26:50 Praxeology 1:37:55 Inequality & Trickle Down Economics 1:44:41 Domestic Imperialism 1:48:56 Regulatory Capture 1:50:48 Abolish the Police 1:53:02 The Empirical Case 1:54:08 "Me Being X Doesn't Affect You" 1:56:01 Material Mindset 1:59:16 Capital Financing Shift 2:00:30 The Value of the Capitalist 2:03:47 Opposition to Voluntary Solutions 2:07:45 Apartheid Entitlement 2:14:36 Democracy and Delegating Rights 2:17:02 The Expert Problem 2:23:45 Capitalist Time Preference 2:31:41 Capitalist Productivity 2:34:15 Self-Ownership 2:38:15 Who Defines What "Service X" is? 2:41:57 Inevitability of Scarcity 2:46:35 The Angel Argument 2:49:04 The Crimes of the 99% 2:51:09 "Poverty Causes Crime" 2:53:04 Intentions Over Results 2:57:41 Free Association = The Ultimate "Check and Balance" 3:00:31 Surplus Value 3:04:39 Firms Reduce Transaction Costs 3:08:21 Collective Action Problem 3:10:09 Empiricism, the High Cost of Experimentation, and the Difficulty in Isolating Variables 3:12:46 Each According to Their Ability? Need? 3:15:51 Disparities Prove Discrimination 3:23:58 Comparing Theory to Reality 3:31:42 Nirvana Fallacy 3:34:41 Which Collective? 3:39:20 Argument From Tolerance 3:39:50 Prices: Signal & Incentive 3:42:58 Catastrophizing 3:46:43 Stock Diversification 3:48:17 Press Conference Bias 3:50:20 Divorce and Discrimination 3:53:38 Discouraging Savings

Voluntaryist Keith

317,397 görüntüleme • 21 gün önce

A 4-Sharpe crypto fund. 27 of 28 months positive. Leigh Drogen (Leigh Drogen) is CIO of Starkiller Capital, a crypto quant fund running momentum and market-neutral crypto strategies. His edge is diligence — and a "never lose more than 1%" position rule. We cover: - Why block space is worthless — and the fiber-optics-in-1999 analogy that explains every L1 collapse since blobs launched on Ethereum - Starkiller's "never lose more than 1%" position sizing rule (how it compounds into 27 of 28 positive months) - The Ripple / RLUSD / USCC trade — borrowing at 2.5% against a 5-8% yielding tokenized basis fund, hidden in plain sight on Aave Horizon - How Starkiller dodged the Kelp DAO hack, lending USDC at 17-18% APR while the rest of DeFi was on fire - Why momentum is the only actual persistent alpha (it's the only persistent behavioral characteristic of humans) - "F*ckery risk" on the short book — why Drogen runs a more diversified short book than long book, even when his thesis screams short - Why "sales is way overcompensated" relative to the difficulty of the job — and what that means for ambitious young quants - The 2019 DM from a 21-year-old that became Drogen's biggest career miss — and how Polymarket's Shane Coplin (Shayne Coplan 🦅) actually solved the SEC problem ("USDC and VPNs") Highlights: 00:00 Intro 01:09 Mechanics of a 4 Sharpe market neutral DeFi strategy 03:24 Quantifying protocol risk and code provenance 06:40 Case study: Exploiting incentivized spreads in carry trades 10:53 Three primary sources of alpha in liquid crypto markets 14:28 Capacity constraints and institutional yield compression 18:54 Position sizing via the 1% max loss rule 21:38 Pro-cyclical returns and the risk modulation framework 26:44 Compounding capital through trend following and cross-sectional momentum 33:35 Why momentum is the only persistent behavioral alpha 48:39 Extracting alpha from token unlock schedules and market structure 51:20 Lessons from building Estimize and the SEC/ForceRank fight 55:00 The Polymarket origin story: Arbitraging regulatory hurdles 01:01:45 Career risk premia and the value of "eating sh*t" 01:05:34 Table selection: Positioning your career on the right macro curve
1:09:20

A 4-Sharpe crypto fund. 27 of 28 months positive. Leigh Drogen (Leigh Drogen) is CIO of Starkiller Capital, a crypto quant fund running momentum and market-neutral crypto strategies. His edge is diligence — and a "never lose more than 1%" position rule. We cover: - Why block space is worthless — and the fiber-optics-in-1999 analogy that explains every L1 collapse since blobs launched on Ethereum - Starkiller's "never lose more than 1%" position sizing rule (how it compounds into 27 of 28 positive months) - The Ripple / RLUSD / USCC trade — borrowing at 2.5% against a 5-8% yielding tokenized basis fund, hidden in plain sight on Aave Horizon - How Starkiller dodged the Kelp DAO hack, lending USDC at 17-18% APR while the rest of DeFi was on fire - Why momentum is the only actual persistent alpha (it's the only persistent behavioral characteristic of humans) - "F*ckery risk" on the short book — why Drogen runs a more diversified short book than long book, even when his thesis screams short - Why "sales is way overcompensated" relative to the difficulty of the job — and what that means for ambitious young quants - The 2019 DM from a 21-year-old that became Drogen's biggest career miss — and how Polymarket's Shane Coplin (Shayne Coplan 🦅) actually solved the SEC problem ("USDC and VPNs") Highlights: 00:00 Intro 01:09 Mechanics of a 4 Sharpe market neutral DeFi strategy 03:24 Quantifying protocol risk and code provenance 06:40 Case study: Exploiting incentivized spreads in carry trades 10:53 Three primary sources of alpha in liquid crypto markets 14:28 Capacity constraints and institutional yield compression 18:54 Position sizing via the 1% max loss rule 21:38 Pro-cyclical returns and the risk modulation framework 26:44 Compounding capital through trend following and cross-sectional momentum 33:35 Why momentum is the only persistent behavioral alpha 48:39 Extracting alpha from token unlock schedules and market structure 51:20 Lessons from building Estimize and the SEC/ForceRank fight 55:00 The Polymarket origin story: Arbitraging regulatory hurdles 01:01:45 Career risk premia and the value of "eating sh*t" 01:05:34 Table selection: Positioning your career on the right macro curve

Ethan Kho

259,839 görüntüleme • 1 ay önce

Warren Buffett on why he chose bonds over stocks during the financial crisis: A shareholder asked Buffett why, during the 2009 crisis, he leaned toward debt instruments rather than equity. Specifically, why he invested $300 million in Harley-Davidson at 15% interest instead of buying the stock at $12 (which later traded at $33). Buffett's answer reveals his core investment philosophy: "I don't know whether Harley-Davidson equity is worth 33 or 20 or 45. I just have no view on that. I kind of like a business where your customers tattoo your name on their chest or something, but figuring out the economic value of that, you know, I'm not sure even going on questioning those guys I'd learn much from them." But what he did know was enough: "I do know, or I thought I knew, and I think I'm right, that A: Harley-Davidson was not going out of business, and B: 15% was going to look pretty damned attractive." The lesson is about decision difficulty. Buffett deliberately chose the simpler question: "I knew enough to lend them money. I didn't know enough to buy the equity. And that's frequently the case... I'll go with a simple decision." In other words, he didn't need to predict whether the motorcycle market would shrink or margins would get squeezed. He only needed to answer one question: are they going to go broke or not? Charlie Munger added another dimension to the answer, pointing to their responsibility as fiduciaries: "After all, we are a fiduciary for a lot of people, including people with permanent injuries, etc. And to some extent we are constrained by how aggressively we buy stocks versus something else." Munger also offered a broader insight for investors: "Very often when you're looking at a distressed situation and buy the bonds, you should have bought the stock. So I think you're looking in a promising area." Buffett tied it back to a principle Ben Graham wrote about in 1934: "In the analysis of senior securities, the junior securities usually do better, but you may sleep better with the senior securities." And this is where his philosophy crystallises. Berkshire has $60 billion of insurance liabilities extending out 50 years or more: "We would never have all of our money in stocks. We might have very significant amounts, but we are running this place so that it can stand anything." The payoff for that conservatism came during the crisis itself: "A couple years ago we felt very good about where that philosophy left us. We actually could do things at a time when most people were paralyzed, and we'll keep running it that way."
4:20

Warren Buffett on why he chose bonds over stocks during the financial crisis: A shareholder asked Buffett why, during the 2009 crisis, he leaned toward debt instruments rather than equity. Specifically, why he invested $300 million in Harley-Davidson at 15% interest instead of buying the stock at $12 (which later traded at $33). Buffett's answer reveals his core investment philosophy: "I don't know whether Harley-Davidson equity is worth 33 or 20 or 45. I just have no view on that. I kind of like a business where your customers tattoo your name on their chest or something, but figuring out the economic value of that, you know, I'm not sure even going on questioning those guys I'd learn much from them." But what he did know was enough: "I do know, or I thought I knew, and I think I'm right, that A: Harley-Davidson was not going out of business, and B: 15% was going to look pretty damned attractive." The lesson is about decision difficulty. Buffett deliberately chose the simpler question: "I knew enough to lend them money. I didn't know enough to buy the equity. And that's frequently the case... I'll go with a simple decision." In other words, he didn't need to predict whether the motorcycle market would shrink or margins would get squeezed. He only needed to answer one question: are they going to go broke or not? Charlie Munger added another dimension to the answer, pointing to their responsibility as fiduciaries: "After all, we are a fiduciary for a lot of people, including people with permanent injuries, etc. And to some extent we are constrained by how aggressively we buy stocks versus something else." Munger also offered a broader insight for investors: "Very often when you're looking at a distressed situation and buy the bonds, you should have bought the stock. So I think you're looking in a promising area." Buffett tied it back to a principle Ben Graham wrote about in 1934: "In the analysis of senior securities, the junior securities usually do better, but you may sleep better with the senior securities." And this is where his philosophy crystallises. Berkshire has $60 billion of insurance liabilities extending out 50 years or more: "We would never have all of our money in stocks. We might have very significant amounts, but we are running this place so that it can stand anything." The payoff for that conservatism came during the crisis itself: "A couple years ago we felt very good about where that philosophy left us. We actually could do things at a time when most people were paralyzed, and we'll keep running it that way."

Black Edge

76,530 görüntüleme • 1 ay önce

Sigh. I just had the credits roll in Pokemon Legends ZA, after 41 hours (i did a lot of side quests) You guys KNOW I am a HUGE Pokemon fan, always been. I grew up with the franchise and it was one of my biggest escapes growing up. I loved Scarlet and Violet, I LOVED Legend Arceus. Pokemon Legends ZA is.. so bad though. The story? Could have been a post main game storyline, barely any substance, barely anything of value. The main story is just the aftermath of X&Y. Some of the side characters stories is nice, other‘s is just annoying or forgettable. Character designs: Mixed opinion, some designs are peak (corbeaue), some are just blatantly awful and an eyesore (jacinthe). Map: ehhh, the map LOOKS small, doesn‘t feel small though. BUT if you take Legend Arceus in comparison, it‘s like 1/4th of the size if even? The parkour is done SO POORLY. It‘s boring and tedious. Looking back at Legend Arceus where you could literally climb mountains, swim and fly, the map traversal is just done poorly and boring. I get that they removed ridable pokemon because then the map would have instantly felt even smaller, but that‘s just an issue the pokemon/gamefreak created for themselves. They decided to have the game ONLY in the capital of Kalos. They also could have simply made the map bigger lol. Gameplay: PERSONALLY I don‘t see why people are praising the gameplay that much, maybe because it‘s finally something different? It‘s alright in normal 1v1 battles, easily becomes unreadable if there‘s multiple parties partaking (think mega battles before the final boss) The rogue mega battles LOOKED good, and they had a good idea, but WHY is the dash button on B, which is tied to the battle commands. Same for dodge being on the Y button. Bear with me, the rogue mega battles are done in a giant arena, and you have to DODGE and RUN a lot, while also ATTACKING the rogue mon. You you can only do ONE, attack, by holding down the left trigger and your A B X Y buttons transform into your moveset, or run and dodge. Just from a game design aspect, this is awful. And don‘t get me started on how buggy the gameplay is at times. Sometimes the trigger button does not even give me the attack moveset? (No its not my switch 2, tested on both switch 1 and 2 with both versions of the game) Right before the final part, my team is around lvl 65-70 and I more or less one shot everything. Now (and spoiler warning) multiple megas attack you, you fight alonsgide NPC trainers and the screen becomes so unreadable and my pokemon just get knocked out one after another? Idk if this is a skill issue, but the sudden spike of difficulty and the cluttered screen made that part really unfun. Final boss was just… awful. Two giant flowers appear, you have to knock them both out, but their damage is ridiculous, and they are super tanky. Then scene switch to Zygarde attacks Ange Floette, and repeat this for like 3 times. The rest of the fight also is just bad and boring. At least the cinematic looked pretty. The alpha pokemon that randomly appear are nice, but nothing of value was added by adding them. (Alphas were a HUGE story part in legend arceus, here it seems they are just throwing players a pity bone) The pokedex quest seems like it wants to be legend arceus so bad but it just misses the point. Legend arceus pokedex felt fun and enjoyable, legend za feels tedious and annoying. Shiny Hunting in this game is SO BORING. No sandwiches, no mass outbreaks, you just reload the area by fast traveling or resting at a bench. Can‘t talk about competitive. yet cuz I haven‘t gotten to it. Finally, this game is a 3,5/10 to me. If anything it made me wanna play Legend Arceus again
0:29

Sigh. I just had the credits roll in Pokemon Legends ZA, after 41 hours (i did a lot of side quests) You guys KNOW I am a HUGE Pokemon fan, always been. I grew up with the franchise and it was one of my biggest escapes growing up. I loved Scarlet and Violet, I LOVED Legend Arceus. Pokemon Legends ZA is.. so bad though. The story? Could have been a post main game storyline, barely any substance, barely anything of value. The main story is just the aftermath of X&Y. Some of the side characters stories is nice, other‘s is just annoying or forgettable. Character designs: Mixed opinion, some designs are peak (corbeaue), some are just blatantly awful and an eyesore (jacinthe). Map: ehhh, the map LOOKS small, doesn‘t feel small though. BUT if you take Legend Arceus in comparison, it‘s like 1/4th of the size if even? The parkour is done SO POORLY. It‘s boring and tedious. Looking back at Legend Arceus where you could literally climb mountains, swim and fly, the map traversal is just done poorly and boring. I get that they removed ridable pokemon because then the map would have instantly felt even smaller, but that‘s just an issue the pokemon/gamefreak created for themselves. They decided to have the game ONLY in the capital of Kalos. They also could have simply made the map bigger lol. Gameplay: PERSONALLY I don‘t see why people are praising the gameplay that much, maybe because it‘s finally something different? It‘s alright in normal 1v1 battles, easily becomes unreadable if there‘s multiple parties partaking (think mega battles before the final boss) The rogue mega battles LOOKED good, and they had a good idea, but WHY is the dash button on B, which is tied to the battle commands. Same for dodge being on the Y button. Bear with me, the rogue mega battles are done in a giant arena, and you have to DODGE and RUN a lot, while also ATTACKING the rogue mon. You you can only do ONE, attack, by holding down the left trigger and your A B X Y buttons transform into your moveset, or run and dodge. Just from a game design aspect, this is awful. And don‘t get me started on how buggy the gameplay is at times. Sometimes the trigger button does not even give me the attack moveset? (No its not my switch 2, tested on both switch 1 and 2 with both versions of the game) Right before the final part, my team is around lvl 65-70 and I more or less one shot everything. Now (and spoiler warning) multiple megas attack you, you fight alonsgide NPC trainers and the screen becomes so unreadable and my pokemon just get knocked out one after another? Idk if this is a skill issue, but the sudden spike of difficulty and the cluttered screen made that part really unfun. Final boss was just… awful. Two giant flowers appear, you have to knock them both out, but their damage is ridiculous, and they are super tanky. Then scene switch to Zygarde attacks Ange Floette, and repeat this for like 3 times. The rest of the fight also is just bad and boring. At least the cinematic looked pretty. The alpha pokemon that randomly appear are nice, but nothing of value was added by adding them. (Alphas were a HUGE story part in legend arceus, here it seems they are just throwing players a pity bone) The pokedex quest seems like it wants to be legend arceus so bad but it just misses the point. Legend arceus pokedex felt fun and enjoyable, legend za feels tedious and annoying. Shiny Hunting in this game is SO BORING. No sandwiches, no mass outbreaks, you just reload the area by fast traveling or resting at a bench. Can‘t talk about competitive. yet cuz I haven‘t gotten to it. Finally, this game is a 3,5/10 to me. If anything it made me wanna play Legend Arceus again

Kitsu 🦊💊

97,580 görüntüleme • 9 ay önce