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AN ALL-TIME GREAT PERFORMANCE! Chang Bingyu has completed a masterpiece vs. Shaun Murphy FOUR CENTURIES, THREE TOTAL CLEARANCES 4-0 ZERO POTS MISSED! 524 points scored 1 point conceded #WelshOpen

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52,960 次观看 • 7 个月前 •via X (Twitter)

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Jalen Brunson is the most clutch player of our generation. Not a hot take. A pattern. He's led the NBA in playoff clutch points three postseasons in a row. He and Kobe Bryant are the only two players in NBA history to lead the league in total playoff clutch points for three consecutive seasons. The Spurs led by double digits in all five games. The Knicks won four of them. Every single win was a comeback. • Game 1, he scored 13 in the fourth. • Game 4, down 29, he put up 36. • Game 5, on the road, 45 points. Thirteen straight for New York in the fourth. Broke Willis Reed's franchise Finals record that stood since 1970. Since quarter data has been tracked, no player has averaged more fourth quarter points in the Finals. Brunson's at 11.2. Nobody else has ever cracked 10. And one more number nobody's ready for. Since 1997, only one player has scored at a higher rate in playoff crunch time than Brunson. Michael Jordan. Take out free throws and Brunson passes him. Guys spend whole careers chasing one moment like this. It's just another day at the office for Brunson. The clutch gene isn't a myth. It just plays point guard for the Knicks.

Jalen Brunson is the most clutch player of our generation. Not a hot take. A pattern. He's led the NBA in playoff clutch points three postseasons in a row. He and Kobe Bryant are the only two players in NBA history to lead the league in total playoff clutch points for three consecutive seasons. The Spurs led by double digits in all five games. The Knicks won four of them. Every single win was a comeback. • Game 1, he scored 13 in the fourth. • Game 4, down 29, he put up 36. • Game 5, on the road, 45 points. Thirteen straight for New York in the fourth. Broke Willis Reed's franchise Finals record that stood since 1970. Since quarter data has been tracked, no player has averaged more fourth quarter points in the Finals. Brunson's at 11.2. Nobody else has ever cracked 10. And one more number nobody's ready for. Since 1997, only one player has scored at a higher rate in playoff crunch time than Brunson. Michael Jordan. Take out free throws and Brunson passes him. Guys spend whole careers chasing one moment like this. It's just another day at the office for Brunson. The clutch gene isn't a myth. It just plays point guard for the Knicks.

Jersey Shore Knicks Guy

16,165 次观看 • 2 个月前

GREATEST SCORER EVER 🐐🐐 55 points in a half 62 points in 3 quarters 50+ points in 3 quarters on 6 different occasions Outscored an entire NBA Finals-bound team through 3 quarters 81 points in a single game 12 three-pointers in one game 9 straight 40-point games 4 straight 50-point games 6 60-point games (more than Durant, LeBron, Jordan, and Kareem combined) 28–30 point halves 2 30-point quarters NBA record 11–20 point 4th quarters! 36–20 point quarters NBA record: 715 points in the 4th quarter in one season 13 straight 35-point games 23 consecutive points in an NBA Finals Averaged 40+ points for an entire month – and he did it 4 DIFFERENT TIMES Jordan, LeBron, Curry, Kareem, Durant, McGrady, Carmelo, Shaq, and Iverson never managed even once Scored 36.5% of his team’s points in one season – a modern NBA record SCORING LEADERS BY DECADE 1960s: Wilt Chamberlain – 28,858 points 2000s: Kobe Bryant – 25,724 points 1990s: Karl Malone – 24,592 points 2010s: LeBron James – 24,522 points 1970s: Kareem Abdul-Jabbar – 24,484 points 1980s: Alex English – 22,395 points 1950s: Dolph Schayes – 15,079 points 2020s: Jayson Tatum – 11,059 points 1940s: Joe Fulks – 4,929 points TEAM SCORING AVERAGES BY ERA: 1960–1972 (Wilt era): 114.6 PPG 1969–1989 (Kareem era): 109.0 PPG 1979–1992 (Magic & Bird era): 108.7 PPG 1984–1998 (Jordan era): 105.1 PPG 2009–2022 (Curry era): 103.9 PPG 2003–2022 (LeBron era): 101.8 PPG 1996–2016 (Kobe era): 97.6 PPG Adjusted to 2024 pace: Kobe would boast the highest PPG in NBA history SCORING KINGS ACROSS ERAS – ADJUSTED TO A PACE OF 114.6 PPG Let’s level the playing field If every player’s team averaged 114.6 points per game here’s what their scoring totals would look like. This gives true perspective on who the most dominant scorer really was 1940s – Joe Fulks • Actual: 4,929 points • Team Pace: ~75 PPG • Adjusted Total: ~7,531 points 1950s – Dolph Schayes • Actual: 15,079 points • Team Pace: ~85 PPG • Adjusted Total: ~20,357 points 1960s – Wilt Chamberlain • Actual: 28,858 points • Team Pace: 114.6 PPG • No Adjustment Needed: 28,858 points 1970s – Kareem Abdul-Jabbar • Actual: 24,484 points • Team Pace: ~109 PPG • Adjusted Total: ~25,708 points 1980s – Alex English • Actual: 22,395 points • Team Pace: ~105.1 PPG • Adjusted Total: ~24,411 points 1990s – Karl Malone • Actual: 24,592 points • Team Pace: ~105.1 PPG • Adjusted Total: ~26,805 points 2000s – KOBE BRYANT • Actual: 25,724 points • Team Pace: ~97.6 PPG (lowest of all eras!) • Adjusted Total: ~30,200 points — HIGHEST OF ALL TIME! 2010s – LeBron James • Actual: 24,522 points • Team Pace: ~101.8 PPG • Adjusted Total: ~27,615 points 2020s – Jayson Tatum (and counting) • Actual: 11,059 points • Team Pace: ~100 PPG Adjusted Total: ~12,674 points When adjusted for scoring pace, KOBE BRYANT not only holds his ground—he DOMINATES all eras. His adjusted decade scoring total of ~30,200 points puts him above Wilt, Kareem, Malone, and LeBron. And he did it in the slowest, most defensively grueling era with the lowest pace of all. (40+ PPG Over an Entire Month – Kobe Achieved This 4 Times): February 2003: • 40.6 PPG • 4.9 RPG • 3.6 APG • FG%: 47 • 3PT%: 43 • FT%: 85 • TS%: 58.4 January 2006: • 43.4 PPG • 5.6 RPG • 4.1 APG • FG%: 48 • 3PT%: 40 • FT%: 90 • TS%: 61.1 April 2006: • 41.6 PPG • 5.5 RPG • 3.6 APG • FG%: 51 • 3PT%: 41 • FT%: 82 • TS%: 62.1 March 2007: • 40.4 PPG • 6.2 RPG • 4.5 APG • FG%: 46 • 3PT%: 37 • FT%: 87 • TS%: 57.5 DOMINATING IN THE TOUGHEST ERA EVER: Kobe’s scoring transcends raw numbers he was iconic, legendary, and graceful. With a refined, multidimensional skill set spanning post moves, fade-aways, mid-range jumpers, and off-hand finishes, he kept defenses off-balance at every turn. In an era marked by relentless, elite defenders, Kobe’s diverse and masterful scoring approach cements his status as the Greatest Scorer of All Time

GREATEST SCORER EVER 🐐🐐 55 points in a half 62 points in 3 quarters 50+ points in 3 quarters on 6 different occasions Outscored an entire NBA Finals-bound team through 3 quarters 81 points in a single game 12 three-pointers in one game 9 straight 40-point games 4 straight 50-point games 6 60-point games (more than Durant, LeBron, Jordan, and Kareem combined) 28–30 point halves 2 30-point quarters NBA record 11–20 point 4th quarters! 36–20 point quarters NBA record: 715 points in the 4th quarter in one season 13 straight 35-point games 23 consecutive points in an NBA Finals Averaged 40+ points for an entire month – and he did it 4 DIFFERENT TIMES Jordan, LeBron, Curry, Kareem, Durant, McGrady, Carmelo, Shaq, and Iverson never managed even once Scored 36.5% of his team’s points in one season – a modern NBA record SCORING LEADERS BY DECADE 1960s: Wilt Chamberlain – 28,858 points 2000s: Kobe Bryant – 25,724 points 1990s: Karl Malone – 24,592 points 2010s: LeBron James – 24,522 points 1970s: Kareem Abdul-Jabbar – 24,484 points 1980s: Alex English – 22,395 points 1950s: Dolph Schayes – 15,079 points 2020s: Jayson Tatum – 11,059 points 1940s: Joe Fulks – 4,929 points TEAM SCORING AVERAGES BY ERA: 1960–1972 (Wilt era): 114.6 PPG 1969–1989 (Kareem era): 109.0 PPG 1979–1992 (Magic & Bird era): 108.7 PPG 1984–1998 (Jordan era): 105.1 PPG 2009–2022 (Curry era): 103.9 PPG 2003–2022 (LeBron era): 101.8 PPG 1996–2016 (Kobe era): 97.6 PPG Adjusted to 2024 pace: Kobe would boast the highest PPG in NBA history SCORING KINGS ACROSS ERAS – ADJUSTED TO A PACE OF 114.6 PPG Let’s level the playing field If every player’s team averaged 114.6 points per game here’s what their scoring totals would look like. This gives true perspective on who the most dominant scorer really was 1940s – Joe Fulks • Actual: 4,929 points • Team Pace: ~75 PPG • Adjusted Total: ~7,531 points 1950s – Dolph Schayes • Actual: 15,079 points • Team Pace: ~85 PPG • Adjusted Total: ~20,357 points 1960s – Wilt Chamberlain • Actual: 28,858 points • Team Pace: 114.6 PPG • No Adjustment Needed: 28,858 points 1970s – Kareem Abdul-Jabbar • Actual: 24,484 points • Team Pace: ~109 PPG • Adjusted Total: ~25,708 points 1980s – Alex English • Actual: 22,395 points • Team Pace: ~105.1 PPG • Adjusted Total: ~24,411 points 1990s – Karl Malone • Actual: 24,592 points • Team Pace: ~105.1 PPG • Adjusted Total: ~26,805 points 2000s – KOBE BRYANT • Actual: 25,724 points • Team Pace: ~97.6 PPG (lowest of all eras!) • Adjusted Total: ~30,200 points — HIGHEST OF ALL TIME! 2010s – LeBron James • Actual: 24,522 points • Team Pace: ~101.8 PPG • Adjusted Total: ~27,615 points 2020s – Jayson Tatum (and counting) • Actual: 11,059 points • Team Pace: ~100 PPG Adjusted Total: ~12,674 points When adjusted for scoring pace, KOBE BRYANT not only holds his ground—he DOMINATES all eras. His adjusted decade scoring total of ~30,200 points puts him above Wilt, Kareem, Malone, and LeBron. And he did it in the slowest, most defensively grueling era with the lowest pace of all. (40+ PPG Over an Entire Month – Kobe Achieved This 4 Times): February 2003: • 40.6 PPG • 4.9 RPG • 3.6 APG • FG%: 47 • 3PT%: 43 • FT%: 85 • TS%: 58.4 January 2006: • 43.4 PPG • 5.6 RPG • 4.1 APG • FG%: 48 • 3PT%: 40 • FT%: 90 • TS%: 61.1 April 2006: • 41.6 PPG • 5.5 RPG • 3.6 APG • FG%: 51 • 3PT%: 41 • FT%: 82 • TS%: 62.1 March 2007: • 40.4 PPG • 6.2 RPG • 4.5 APG • FG%: 46 • 3PT%: 37 • FT%: 87 • TS%: 57.5 DOMINATING IN THE TOUGHEST ERA EVER: Kobe’s scoring transcends raw numbers he was iconic, legendary, and graceful. With a refined, multidimensional skill set spanning post moves, fade-aways, mid-range jumpers, and off-hand finishes, he kept defenses off-balance at every turn. In an era marked by relentless, elite defenders, Kobe’s diverse and masterful scoring approach cements his status as the Greatest Scorer of All Time

8/24MαɱႦα.Aɾƈԋιʋҽʂ🐐

13,679 次观看 • 6 个月前

Indiana’s Lamar Wilkerson (Lamar Wilkerson) is a PROBLEM. One of the best shotmakers in the Big 10, if not all of college basketball. Tonight in the Hoosiers win vs. Maryland: 24 PTS 6 REBS 1 AST 1 STL 9-17 FG 3-7 3PT 3-3 FT Wilkerson has now scored 20+ points in each of Indiana’s last four games, hitting at least three 3-pointers in every contest. The Sam Houston State transfer has lived up to the hype this season, maintaining stats very similar to last year. Easily one of the top transfer portal additions of the spring.

Indiana’s Lamar Wilkerson (Lamar Wilkerson) is a PROBLEM. One of the best shotmakers in the Big 10, if not all of college basketball. Tonight in the Hoosiers win vs. Maryland: 24 PTS 6 REBS 1 AST 1 STL 9-17 FG 3-7 3PT 3-3 FT Wilkerson has now scored 20+ points in each of Indiana’s last four games, hitting at least three 3-pointers in every contest. The Sam Houston State transfer has lived up to the hype this season, maintaining stats very similar to last year. Easily one of the top transfer portal additions of the spring.

Sam Kayser

57,228 次观看 • 8 个月前

🇫🇷 Nathan Soliman — Scouting Report (FIBA U17 World Cup Fifth-Place Game vs Canada) 🧬 Player Profile Name: Nathan Soliman Born: 2009 Height: 6’8” (2.03m) Position: Wing Forward National Team: 🇫🇷 France U17 Archetype: Modern Two-Way Wing Forward all around ⸻ 📊 Performance vs 🇨🇦 Canada (Fifth-Place Game) Final Stat Line 37 PTS | 12 REB | 3 AST | 4 STL | 1 BLK 51 EFF | +23 +/- 29:50 MIN 🎯 Shooting Splits 15/19 FG (78.9%) 11/13 2PT (84.6%) 4/6 3PT (66.7%) 3/3 FT (100%) Rebounding 6 Offensive Rebounds 6 Defensive Rebounds 12 Total Rebounds Additional Stats 3 Assists 4 Steals 1 Block 2 Turnovers 1 Personal Foul ⸻ 🧠 Scouting Evaluation ⭐ one of the Tournament’s Most Dominant Performance Nathan Soliman closed out the FIBA U17 World Cup with one of the most dominant individual performances of the entire tournament. The 2009-born wing forward completely overwhelmed Canada on both ends of the floor, finishing with 37 points, 12 rebounds, 3 assists, 4 steals, and 1 block while posting an incredible 51 efficiency rating. Every aspect of his game was on display as he led France to a convincing victory in the fifth-place game. ➡️ Superstar-level performance. ⸻ 🎯 Elite Three-Level Scoring Soliman showcased a complete offensive package, proving he can score from anywhere on the floor. He finished an outstanding: 15/19 from the field (78.9%) 4/6 from three (66.7%) 3/3 from the free-throw line He consistently scored by: Attacking closeouts Finishing through contact Knocking down catch-and-shoot threes Creating from the wing Running the floor in transition

Scouting lab

33,413 次观看 • 2 个月前

MVP Russell Westbrook scores 15 consecutive clutch time points against the Boston Celtics to put them away, finishes with 45 points, 11 rebounds, 11 assists The Boston Celtics used the Hack-A-Roberson on Andre Roberson who missed 4 consecutive free throws on two consecutive possessions. Westbrook: 45 points, 11 rebounds, 11 assists (4 TOV), 1 Steal, 70.2% TS - 13/25 FG (52.0%), 5/7 from 3 (71.4%) 14/16 FT (87.5%), and 20 points in the fourth quarter, leading to a 117-112 win. Wesbtrook also had a +/- of +10 in 34:50 minutes played. It was when the player was allowed to leave the key area after a free throw, which was part of Westbrook's routine that was ruined since they changed the rule. Westbrook would sometimes hit/miss a free throw, go all the way to the halfcourt or 3-point line, at times, and then shoot the next one. The rookie Domantas Sabonis had a career-high 20 Points on 8/11 FG (72.7%), 4/6 from 3 (66.7%), 1 Rebound, 1 Assist, 1 Steal, 1 turnover. Isaiah Thomas led the Celtics at the other end, with 34-2-10-1 (5 TOV) at the other end, on 12/22 FG, 2/8 from 3, 8/9 FT. Oklahoma City Thunder vs. Boston Celtics December 23, 2016 I also posted it on YouTube:

MVP Russell Westbrook scores 15 consecutive clutch time points against the Boston Celtics to put them away, finishes with 45 points, 11 rebounds, 11 assists The Boston Celtics used the Hack-A-Roberson on Andre Roberson who missed 4 consecutive free throws on two consecutive possessions. Westbrook: 45 points, 11 rebounds, 11 assists (4 TOV), 1 Steal, 70.2% TS - 13/25 FG (52.0%), 5/7 from 3 (71.4%) 14/16 FT (87.5%), and 20 points in the fourth quarter, leading to a 117-112 win. Wesbtrook also had a +/- of +10 in 34:50 minutes played. It was when the player was allowed to leave the key area after a free throw, which was part of Westbrook's routine that was ruined since they changed the rule. Westbrook would sometimes hit/miss a free throw, go all the way to the halfcourt or 3-point line, at times, and then shoot the next one. The rookie Domantas Sabonis had a career-high 20 Points on 8/11 FG (72.7%), 4/6 from 3 (66.7%), 1 Rebound, 1 Assist, 1 Steal, 1 turnover. Isaiah Thomas led the Celtics at the other end, with 34-2-10-1 (5 TOV) at the other end, on 12/22 FG, 2/8 from 3, 8/9 FT. Oklahoma City Thunder vs. Boston Celtics December 23, 2016 I also posted it on YouTube:

MrBuckBuck

65,118 次观看 • 1 个月前

🎮 Build items for general Veres (how to build items, runes, badges) • intrinsic: Bleeding ✍️ Hitting the target with normal attacks helps Veres accumulate 1 passive point of Blood Chain for 5 seconds. When reaching 4 accumulated points, Veres will cast Blood Chain to attack all nearby enemies, causing physical damage and healing. In particular, Veres also has a 1 second Chain & Chain cooldown reduction and 2 seconds of Chain Destiny Removal. Furthermore, during the time of casting Blood Chain Veres, it will release control, be immune to control, and increase movement speed by 20%. • Trick 1: Twin chains ✍️ Veres launches a chain that splits into two strands to attack enemies, dealing physical damage and slowing their movement speed for 1 second. Victims hit by both chains will be stunned for 1 second. In addition, when throwing a chain and hitting an enemy champion, Veres will receive 1 point to accumulate the Chain Point.

🎮 Build items for general Veres (how to build items, runes, badges) • intrinsic: Bleeding ✍️ Hitting the target with normal attacks helps Veres accumulate 1 passive point of Blood Chain for 5 seconds. When reaching 4 accumulated points, Veres will cast Blood Chain to attack all nearby enemies, causing physical damage and healing. In particular, Veres also has a 1 second Chain & Chain cooldown reduction and 2 seconds of Chain Destiny Removal. Furthermore, during the time of casting Blood Chain Veres, it will release control, be immune to control, and increase movement speed by 20%. • Trick 1: Twin chains ✍️ Veres launches a chain that splits into two strands to attack enemies, dealing physical damage and slowing their movement speed for 1 second. Victims hit by both chains will be stunned for 1 second. In addition, when throwing a chain and hitting an enemy champion, Veres will receive 1 point to accumulate the Chain Point.

SGP 🇻🇳

172,066 次观看 • 2 年前

“How can Kobe be Top 1-2 scorer all time he only has two scoring titles”. It’s because Kobe wasn’t the ball hog yall think he is and he sacrificed to WIN. Kobe’s scoring finishes each season between 2001 - 2013: 2001 #4 at 28.5PPG sharing W/Shaq 2002 #6 at 25.2 PPG sharing W/Shaq 2003 #2 at 30 PPG sharing W/Shaq 2004 #4 at 24 PPG sharing W/Shaq *Shaq leaves: 2005 #2 at 27.7 PPG 2006 #1 at 35.4 PPG 2007 #1 at 31.6 PPG 2008 #2 at 28.3 PPG AS SOON AS HE LEAVES SHAQ, 4 years in a row Kobe finishes Top 2. Kobe playing with Shaq held back averages and scoring titles because he had to sacrifice to feed Shaq and keep the big man’s ego up. 2009 #3 at 26.8 PPG 2010 #4 at 27.0 PPG 2011 #5 at 25.3 PPG 2012 #2 at 27.9 PPG (sat out last game/lost by .01) 2013 #3 at 27.3 PPG (34 Y.O. no signs of slowing) 2014 injury that all but ended his career Kobe finished #2 four times and Shared 4 of these seasons with Shaq. Kobe CLEARLY could have had more scoring titles but was focused on winning. He wanted teammates he could trust and share the ball with. Kobe wasn’t a stat stuffer like people think. If he was he would have kept “trash” teammates and won the scoring title every year. He had that 35PPG just to show you what he could do if he wanted. That 35 PPG hadn’t been done since Jordan pulled it off in 1988 and wasn’t done again until 2018 when Harden did it. No one else will probably do that for another 15-20 years. Few other reasons why KOBE IS A TOP 1-2 SCORER ALL TIME. All accolades accomplished in the hardest era of all time IMO: -Had 4-game in a row w/50+ PTS in 2007 recording: 65PTS, 50PTS, 60PTS, 50PTS -Had 9-game stretch of 40PTS in 2003 Had 6 60PT games (2nd all time behind Wilt) -Had 25 50PT games (3rd all time behind Wilt/Jordan) -Had 122 40PT games (3rd all time behind Wilt/Jordan) -Led the league in total points 4 times -Scored the most PTS in the 2000s with 21,605 PTS -Most PTS scored in a modern era: 81 PTS -4th in all time points with 33,643 -Most points for a shooting guard all time -Scored 60 PTS at 37 years old (record) Kobe was an elite scorer and was only stopped because of injury. And this is why all that “Kobe had only two scoring titles” means nothing in regards to how elite of a scorer he is. There is no one you can name besides MJ in the modern era that had the scoring peak, ability and stats that Kobe had when it comes to scoring. There’s no one that measures up. NO ONE. Don’t let the scoring titles fool you. Kobe was pretty much Micheal Jordan in a better era when it comes to scoring (MJ still the GOAT though).

“How can Kobe be Top 1-2 scorer all time he only has two scoring titles”. It’s because Kobe wasn’t the ball hog yall think he is and he sacrificed to WIN. Kobe’s scoring finishes each season between 2001 - 2013: 2001 #4 at 28.5PPG sharing W/Shaq 2002 #6 at 25.2 PPG sharing W/Shaq 2003 #2 at 30 PPG sharing W/Shaq 2004 #4 at 24 PPG sharing W/Shaq *Shaq leaves: 2005 #2 at 27.7 PPG 2006 #1 at 35.4 PPG 2007 #1 at 31.6 PPG 2008 #2 at 28.3 PPG AS SOON AS HE LEAVES SHAQ, 4 years in a row Kobe finishes Top 2. Kobe playing with Shaq held back averages and scoring titles because he had to sacrifice to feed Shaq and keep the big man’s ego up. 2009 #3 at 26.8 PPG 2010 #4 at 27.0 PPG 2011 #5 at 25.3 PPG 2012 #2 at 27.9 PPG (sat out last game/lost by .01) 2013 #3 at 27.3 PPG (34 Y.O. no signs of slowing) 2014 injury that all but ended his career Kobe finished #2 four times and Shared 4 of these seasons with Shaq. Kobe CLEARLY could have had more scoring titles but was focused on winning. He wanted teammates he could trust and share the ball with. Kobe wasn’t a stat stuffer like people think. If he was he would have kept “trash” teammates and won the scoring title every year. He had that 35PPG just to show you what he could do if he wanted. That 35 PPG hadn’t been done since Jordan pulled it off in 1988 and wasn’t done again until 2018 when Harden did it. No one else will probably do that for another 15-20 years. Few other reasons why KOBE IS A TOP 1-2 SCORER ALL TIME. All accolades accomplished in the hardest era of all time IMO: -Had 4-game in a row w/50+ PTS in 2007 recording: 65PTS, 50PTS, 60PTS, 50PTS -Had 9-game stretch of 40PTS in 2003 Had 6 60PT games (2nd all time behind Wilt) -Had 25 50PT games (3rd all time behind Wilt/Jordan) -Had 122 40PT games (3rd all time behind Wilt/Jordan) -Led the league in total points 4 times -Scored the most PTS in the 2000s with 21,605 PTS -Most PTS scored in a modern era: 81 PTS -4th in all time points with 33,643 -Most points for a shooting guard all time -Scored 60 PTS at 37 years old (record) Kobe was an elite scorer and was only stopped because of injury. And this is why all that “Kobe had only two scoring titles” means nothing in regards to how elite of a scorer he is. There is no one you can name besides MJ in the modern era that had the scoring peak, ability and stats that Kobe had when it comes to scoring. There’s no one that measures up. NO ONE. Don’t let the scoring titles fool you. Kobe was pretty much Micheal Jordan in a better era when it comes to scoring (MJ still the GOAT though).

THE KOBJECTIVE VIEW

121,590 次观看 • 1 年前

Gilbert Arenas on Patrick Beverley comments saying Dame Lillard is not a Hall of Famer: “So, 22,000 points. That’s Hall of Fame. 22,000 points, 6,000 assists almost 4,000 rebounds you’re a nine time All-Star seven time All-NBA player mean you were a top 15 in the league for seven years. Rookie of the year, All-Star MVP and the most important he’s already a top 75 player. Okay. 2022 is when the top 75 list came out that means he was already a Hall of fame player then. And I think sometimes we confuse careers with moments, right? And Derrick Rose is going to always be that bitter taste for a lot of hoopers, you know what I mean? Because he’s the youngest MVP, right? And that is the kind of the downfall of because he did such this great thing at a young age that he was going to be, he was treading towards being a top 5 point guard of all time, right? But he ends up getting injured and it derailed him. So, we’re stuck on the youngest MVP claim. Well, that claim alone, it’s just a claim. A MVP is still just an MVP, right? So, yes, he has a MVP. He has one All-NBA team and three All-Stars. The body of work is what keeping Derrick Rose out, not Derrick Rose’s talent.” (Via Gilbert Arenas)

Gilbert Arenas on Patrick Beverley comments saying Dame Lillard is not a Hall of Famer: “So, 22,000 points. That’s Hall of Fame. 22,000 points, 6,000 assists almost 4,000 rebounds you’re a nine time All-Star seven time All-NBA player mean you were a top 15 in the league for seven years. Rookie of the year, All-Star MVP and the most important he’s already a top 75 player. Okay. 2022 is when the top 75 list came out that means he was already a Hall of fame player then. And I think sometimes we confuse careers with moments, right? And Derrick Rose is going to always be that bitter taste for a lot of hoopers, you know what I mean? Because he’s the youngest MVP, right? And that is the kind of the downfall of because he did such this great thing at a young age that he was going to be, he was treading towards being a top 5 point guard of all time, right? But he ends up getting injured and it derailed him. So, we’re stuck on the youngest MVP claim. Well, that claim alone, it’s just a claim. A MVP is still just an MVP, right? So, yes, he has a MVP. He has one All-NBA team and three All-Stars. The body of work is what keeping Derrick Rose out, not Derrick Rose’s talent.” (Via Gilbert Arenas)

NBA Courtside

196,905 次观看 • 5 个月前

Just 13 years ago today Alabama Football handed Auburn its worst loss in the Iron Bowl since 1948 when the No. 2-ranked Crimson Tide shut out the Tigers, 49-0, on Nov. 24, 2012 inside Bryant-Denny Stadium. In a master class of offensive efficiency, Alabama scored touchdowns on its first seven possessions before emptying the bench with substitutions. The victory clinched the SEC Western Division title as the Crimson Tide beat Georgia in Atlanta and Notre Dame for the national championship. Quarterback AJ McCarron completed 15 of 21 passes for 216 yards and four touchdowns, running back Eddie Lacy rushed for 131 yards and two touchdowns and receiver Amari Cooper caught five passes for 109 yards and two touchdowns in the offensive onslaught. Robert Lester had five tackles and an interception to lead an Alabama defense that forced three fumbles, intercepted two passes and had two sacks. Auburn finished with just 163 yards of total offense (92 rushing, 71 passing) and seven first downs. Prior to the 49-point romp in Tuscaloosa, the largest margin of victory by the Crimson Tide over its in-state nemesis occurred on Dec. 4, 1948 in a 55-0 thrashing in Birmingham.

Just 13 years ago today Alabama Football handed Auburn its worst loss in the Iron Bowl since 1948 when the No. 2-ranked Crimson Tide shut out the Tigers, 49-0, on Nov. 24, 2012 inside Bryant-Denny Stadium. In a master class of offensive efficiency, Alabama scored touchdowns on its first seven possessions before emptying the bench with substitutions. The victory clinched the SEC Western Division title as the Crimson Tide beat Georgia in Atlanta and Notre Dame for the national championship. Quarterback AJ McCarron completed 15 of 21 passes for 216 yards and four touchdowns, running back Eddie Lacy rushed for 131 yards and two touchdowns and receiver Amari Cooper caught five passes for 109 yards and two touchdowns in the offensive onslaught. Robert Lester had five tackles and an interception to lead an Alabama defense that forced three fumbles, intercepted two passes and had two sacks. Auburn finished with just 163 yards of total offense (92 rushing, 71 passing) and seven first downs. Prior to the 49-point romp in Tuscaloosa, the largest margin of victory by the Crimson Tide over its in-state nemesis occurred on Dec. 4, 1948 in a 55-0 thrashing in Birmingham.

The Tide Machine

55,938 次观看 • 10 个月前

hy3 vs mimo-v2.5 vs deepseek v4 flash vs minimax m3 the four models on top of the openrouter leaderboard by tokens this week: #1 hy3 (Tencent Hy) – 7.5t #2 mimo-v2.5 (Xiaomi MiMo) – 6.56t #3 deepseek v4 flash (DeepSeek) – 5.24t #4 minimax m3 (MiniMax (official)) – 4.21t so we tested them. 3 prompts, single-file html, Three.js from a cdn, fully procedural, no external assets. all run via AI/ML API each prompt is a transparent cutaway machine that has to be mechanically correct, not decorative: • 4-stroke engine with full oil circulation – slider-crank kinematics, cam at 2:1, valve lift driven by lobes, oil loop from sump to gallery to big-end • watt walking-beam steam engine – four-bar vector-loop closure, eccentric-driven slide valve, steam events synced to real port position • francis reaction water turbine – 20 guide vanes on a regulating ring, 17 lofted runner blades, gpu particle advection, precessing vortex rope at part load the takeaway up front: none of the four cleared all three scenes on the first attempt. but the price spread between them is roughly 70x – hy3 fixed included costs less than two cents overall results (summed across all 3 scenes): cost #1 hy3 – $0.016 #2 deepseek v4 flash – $0.025 #3 mimo-v2.5 – $0.97 #4 minimax m3 – $1.17 tokens #1 hy3 – 19,326 #2 deepseek v4 flash – 63,126 #3 mimo-v2.5 – 322,523 #4 minimax m3 – 702,900 lines of code #1 hy3 – 1,047 #2 mimo-v2.5 – 2,759 #3 deepseek v4 flash – 3,273 #4 minimax m3 – 3,354 scenes needing a second attempt #1 hy3 – 1 (engine) #1 mimo-v2.5 – 1 (turbine) #1 minimax m3 – 1 (turbine) #4 deepseek v4 flash – 2 (steam engine, turbine) observations: 1. the token spread is the real story – minimax burns 36x hy3's tokens and lands in the same place, one retry, ~3.3k lines 2. hy3 is the outlier on density: 1,047 lines total, fewest tokens, cheapest run, and only one scene needed a second pass. deepseek is the opposite trade – near-hy3 pricing but the most retries 3. mimo and minimax seem to overthink instead of writing the code. minimax spent 359.1k tokens on the steam engine and produced 1,346 lines – the tokens are going somewhere other than the file 4. the francis turbine broke three of the four. the spec that separates them is the one with 20 linked guide vanes and gpu particle advection, not the one with the most parts overall impression: none of these models excelled at any of the tasks we gave them. but they were close, and they were extremely cheap. the gap that matters isn't quality anymore – it's that hy3 ran all three scenes for less than two cents while the frontier labs charge dollars for the same work right now you pick these because they're good for the zero price you pay. soon that's something openai and anthropic will have to think about follow thehype. for 24/7 ai news, analysis and breakdowns

hy3 vs mimo-v2.5 vs deepseek v4 flash vs minimax m3 the four models on top of the openrouter leaderboard by tokens this week: #1 hy3 (Tencent Hy) – 7.5t #2 mimo-v2.5 (Xiaomi MiMo) – 6.56t #3 deepseek v4 flash (DeepSeek) – 5.24t #4 minimax m3 (MiniMax (official)) – 4.21t so we tested them. 3 prompts, single-file html, Three.js from a cdn, fully procedural, no external assets. all run via AI/ML API each prompt is a transparent cutaway machine that has to be mechanically correct, not decorative: • 4-stroke engine with full oil circulation – slider-crank kinematics, cam at 2:1, valve lift driven by lobes, oil loop from sump to gallery to big-end • watt walking-beam steam engine – four-bar vector-loop closure, eccentric-driven slide valve, steam events synced to real port position • francis reaction water turbine – 20 guide vanes on a regulating ring, 17 lofted runner blades, gpu particle advection, precessing vortex rope at part load the takeaway up front: none of the four cleared all three scenes on the first attempt. but the price spread between them is roughly 70x – hy3 fixed included costs less than two cents overall results (summed across all 3 scenes): cost #1 hy3 – $0.016 #2 deepseek v4 flash – $0.025 #3 mimo-v2.5 – $0.97 #4 minimax m3 – $1.17 tokens #1 hy3 – 19,326 #2 deepseek v4 flash – 63,126 #3 mimo-v2.5 – 322,523 #4 minimax m3 – 702,900 lines of code #1 hy3 – 1,047 #2 mimo-v2.5 – 2,759 #3 deepseek v4 flash – 3,273 #4 minimax m3 – 3,354 scenes needing a second attempt #1 hy3 – 1 (engine) #1 mimo-v2.5 – 1 (turbine) #1 minimax m3 – 1 (turbine) #4 deepseek v4 flash – 2 (steam engine, turbine) observations: 1. the token spread is the real story – minimax burns 36x hy3's tokens and lands in the same place, one retry, ~3.3k lines 2. hy3 is the outlier on density: 1,047 lines total, fewest tokens, cheapest run, and only one scene needed a second pass. deepseek is the opposite trade – near-hy3 pricing but the most retries 3. mimo and minimax seem to overthink instead of writing the code. minimax spent 359.1k tokens on the steam engine and produced 1,346 lines – the tokens are going somewhere other than the file 4. the francis turbine broke three of the four. the spec that separates them is the one with 20 linked guide vanes and gpu particle advection, not the one with the most parts overall impression: none of these models excelled at any of the tasks we gave them. but they were close, and they were extremely cheap. the gap that matters isn't quality anymore – it's that hy3 ran all three scenes for less than two cents while the frontier labs charge dollars for the same work right now you pick these because they're good for the zero price you pay. soon that's something openai and anthropic will have to think about follow thehype. for 24/7 ai news, analysis and breakdowns

thehype.

17,145 次观看 • 2 个月前

3 yr playoff peak Kobe ( 2008-2010 ) was insanely Goated 30 ppg 6 rpg 5.5 apg 1.6 spg .7 bpg 46.4 fg% 34.4 3fg% 84.5 ft% 57 ts% 3 straight finals 2 championships ( b2b without a top 75 player ) 2 finals mvps Only player in nba history To Score 600 Or More In Three Consecutive Playoffs Runs : 2️⃣0️⃣0️⃣8️⃣ : 633 Points 2️⃣0️⃣0️⃣9️⃣ : 695 Points 2️⃣0️⃣1️⃣0️⃣ : 671 Points 10 50+ win teams beaten the only team that didn’t have 50 wins was Utah Jazz in 2009 ( 48-39 record ) Only 1 player in NBA Finals history averaged 32+ points and 7+ rebounds in a winning effort facing a DPOY. ➡️ Kobe Without Shaq or a 20-point scorer, only 1 player has gone to 8 playoffs, with 13 playoff series wins, 3 Finals, with 2 championships. ➡️ Kobe *** For context: - Jordan without Pippen went to 3 playoffs, 0 playoff series wins, 0 Finals, 0 championships. - LeBron without either AD, or Kyrie and Kevin Love or Bosh and Wade … 0 rings. - Kareem without Oscar or Magic, 0 rings. - Magic without Kareem, Worthy, Scott, 0 rings. - Bird without McHale, DJ, Parrish, 0 rings. The most 30-point playoff games in a single postseason (15 in 2009), in the last 30 years, and the NBA record for the most 30-point road playoff games in a single postseason (9 in 2009) is held by …. ➡️ Kobe *** No player in NBA playoff history faced tougher defenders than Kobe in 2009, starting with Utah with Carlos Boozer & Kirilenko & Brewer, defensive specialists with a tough defensive coach, then facing the Rockets with Ron Artest, Shane Battier, Yao Ming, Dikembe Mutombo, then vs. Denver with Chauncey Billups, Dhantay Jones, Nene, Birdman, Kenyon Martin, and Carmelo, all bodies to throw at Kobe with hard foul after another, including dirty fouls, and then in the Finals to meet the DPOY Dwight Howard, who was dominant, with excellent perimeter defenders in Mickael Pietrus and Rashard Lewis, with Marcin Gortat, yet another big at the post. The NBA postseason record for most points over a 3-year playoff run by a single player is 1999 points by … ➡️ Kobe All while facing defensive superteams, hard playoff double and triple teams, smack in the middle of the deadball slowest-paced, lowest-scoring era, where, for example, the final score of games in the Finals was 83-79 Kobe Was Different 🙏🏻✌️

3 yr playoff peak Kobe ( 2008-2010 ) was insanely Goated 30 ppg 6 rpg 5.5 apg 1.6 spg .7 bpg 46.4 fg% 34.4 3fg% 84.5 ft% 57 ts% 3 straight finals 2 championships ( b2b without a top 75 player ) 2 finals mvps Only player in nba history To Score 600 Or More In Three Consecutive Playoffs Runs : 2️⃣0️⃣0️⃣8️⃣ : 633 Points 2️⃣0️⃣0️⃣9️⃣ : 695 Points 2️⃣0️⃣1️⃣0️⃣ : 671 Points 10 50+ win teams beaten the only team that didn’t have 50 wins was Utah Jazz in 2009 ( 48-39 record ) Only 1 player in NBA Finals history averaged 32+ points and 7+ rebounds in a winning effort facing a DPOY. ➡️ Kobe Without Shaq or a 20-point scorer, only 1 player has gone to 8 playoffs, with 13 playoff series wins, 3 Finals, with 2 championships. ➡️ Kobe * For context: - Jordan without Pippen went to 3 playoffs, 0 playoff series wins, 0 Finals, 0 championships. - LeBron without either AD, or Kyrie and Kevin Love or Bosh and Wade … 0 rings. - Kareem without Oscar or Magic, 0 rings. - Magic without Kareem, Worthy, Scott, 0 rings. - Bird without McHale, DJ, Parrish, 0 rings. The most 30-point playoff games in a single postseason (15 in 2009), in the last 30 years, and the NBA record for the most 30-point road playoff games in a single postseason (9 in 2009) is held by …. ➡️ Kobe * No player in NBA playoff history faced tougher defenders than Kobe in 2009, starting with Utah with Carlos Boozer & Kirilenko & Brewer, defensive specialists with a tough defensive coach, then facing the Rockets with Ron Artest, Shane Battier, Yao Ming, Dikembe Mutombo, then vs. Denver with Chauncey Billups, Dhantay Jones, Nene, Birdman, Kenyon Martin, and Carmelo, all bodies to throw at Kobe with hard foul after another, including dirty fouls, and then in the Finals to meet the DPOY Dwight Howard, who was dominant, with excellent perimeter defenders in Mickael Pietrus and Rashard Lewis, with Marcin Gortat, yet another big at the post. The NBA postseason record for most points over a 3-year playoff run by a single player is 1999 points by … ➡️ Kobe All while facing defensive superteams, hard playoff double and triple teams, smack in the middle of the deadball slowest-paced, lowest-scoring era, where, for example, the final score of games in the Finals was 83-79 Kobe Was Different 🙏🏻✌️

8/24MαɱႦα.Aɾƈԋιʋҽʂ🐐

21,364 次观看 • 7 天前

ox alpha vs deepseek v4 flash vision vs grok 4.6 vs gemini 3.7 flash vs – on photo-to-3d four vision models got one photograph each and had to rebuild the place inside it as a Three.js scene. twelve scenes, twelve first-try runs, zero console errors the setup: one reference photo per scene, sent as an image on OpenRouter. the prompt never says what is in the picture – no "motel", no "bar", no "gas station". the model has to read the photo and rebuild it: layout, materials, hour of the day, and whatever is around the corner that the frame does not show tasks – three photographs of early-2000s america: 1. a motel at night, neon pylon lit, snow on the ground 2. an old new york tavern interior, tin ceiling, tiled floor 3. an abandoned service station in the california desert, midday sun each scene ships as one self-contained html file, procedural geometry and canvas textures only, no downloads. three timed camera shots, and shot 1 has to reproduce the framing of the reference photo models: xAI grok 4.6, Google DeepMind gemini 3.7 flash, DeepSeek deepseek v4 flash vision exp, and ox alpha – a stealth model on openrouter, free, no lab attached to it yet results: - wall clock, three scenes #1 gemini 3.7 flash – 11m 12s #2 deepseek v4 flash – 15m 20s #3 grok 4.6 – 28m 11s #4 ox alpha – 38m 54s - output tokens #1 gemini 3.7 flash – 77,396 #2 ox alpha – 87,613 #3 grok 4.6 – 105,687 #4 deepseek v4 flash – 127,884 - lines of code shipped #1 ox alpha – 2,090 #2 deepseek v4 flash – 2,291 #3 grok 4.6 – 3,529 #4 gemini 3.7 flash – 3,989 - total price #1 ox alpha – $0.000 #2 deepseek v4 flash – $0.091 #3 gemini 3.7 flash – $0.136 #4 grok 4.6 – $0.697 observations: • grok is 7.7x the price of deepseek. it is the only model that read the light – low sun, real shadows on the station, a cold night on the motel • gemini is the fastest and the least deliberate. 17,158 reasoning tokens against deepseek's 99,172, and it still shipped the most code – 3,989 lines • deepseek thought hardest and rendered plainest. 99,172 reasoning tokens, 5.8x gemini's, spent on layout rather than on light. its motel is the second best in the set for $0.030 • ox alpha is free and reads a photo as well as anything here – it lifted "family units / kitchenettes" off the pylon and redrew it in canvas conclusion: twelve scenes, four models, zero fixes, and the whole run cost $0.924! follow thehype. for 24/7 ai news, analysis and breakdowns

ox alpha vs deepseek v4 flash vision vs grok 4.6 vs gemini 3.7 flash vs – on photo-to-3d four vision models got one photograph each and had to rebuild the place inside it as a Three.js scene. twelve scenes, twelve first-try runs, zero console errors the setup: one reference photo per scene, sent as an image on OpenRouter. the prompt never says what is in the picture – no "motel", no "bar", no "gas station". the model has to read the photo and rebuild it: layout, materials, hour of the day, and whatever is around the corner that the frame does not show tasks – three photographs of early-2000s america: 1. a motel at night, neon pylon lit, snow on the ground 2. an old new york tavern interior, tin ceiling, tiled floor 3. an abandoned service station in the california desert, midday sun each scene ships as one self-contained html file, procedural geometry and canvas textures only, no downloads. three timed camera shots, and shot 1 has to reproduce the framing of the reference photo models: xAI grok 4.6, Google DeepMind gemini 3.7 flash, DeepSeek deepseek v4 flash vision exp, and ox alpha – a stealth model on openrouter, free, no lab attached to it yet results: - wall clock, three scenes #1 gemini 3.7 flash – 11m 12s #2 deepseek v4 flash – 15m 20s #3 grok 4.6 – 28m 11s #4 ox alpha – 38m 54s - output tokens #1 gemini 3.7 flash – 77,396 #2 ox alpha – 87,613 #3 grok 4.6 – 105,687 #4 deepseek v4 flash – 127,884 - lines of code shipped #1 ox alpha – 2,090 #2 deepseek v4 flash – 2,291 #3 grok 4.6 – 3,529 #4 gemini 3.7 flash – 3,989 - total price #1 ox alpha – $0.000 #2 deepseek v4 flash – $0.091 #3 gemini 3.7 flash – $0.136 #4 grok 4.6 – $0.697 observations: • grok is 7.7x the price of deepseek. it is the only model that read the light – low sun, real shadows on the station, a cold night on the motel • gemini is the fastest and the least deliberate. 17,158 reasoning tokens against deepseek's 99,172, and it still shipped the most code – 3,989 lines • deepseek thought hardest and rendered plainest. 99,172 reasoning tokens, 5.8x gemini's, spent on layout rather than on light. its motel is the second best in the set for $0.030 • ox alpha is free and reads a photo as well as anything here – it lifted "family units / kitchenettes" off the pylon and redrew it in canvas conclusion: twelve scenes, four models, zero fixes, and the whole run cost $0.924! follow thehype. for 24/7 ai news, analysis and breakdowns

thehype.

24,272 次观看 • 1 个月前

What Tom Segura taught me about comedy: 1) Being annoyed is funny. Complaining is funny. What's not funny is total indifference. You simply have to have an opinion. 2) Something magical happens between the idea and the performance. The mixture of pressure, adrenaline, and thrill all comes together, and something else comes out of your mouth. 3) If you feel people are upset when you say something, that's an advantage. You can say it, acknowledge their dislike, and then use jokes to support your point. 4) Why mall cops and TSA agents are such funny characters: Someone with no power in the world is given three square meters of dominion and told, "You are the most powerful person here." 5) The best thing a comic can do is simply talk a lot. Over time you'll find yourself saying funny stuff and learn to recognize your best takes. 6) The perfect stand-up is someone who combines incredible stage presence with strong writing.

What Tom Segura taught me about comedy: 1) Being annoyed is funny. Complaining is funny. What's not funny is total indifference. You simply have to have an opinion. 2) Something magical happens between the idea and the performance. The mixture of pressure, adrenaline, and thrill all comes together, and something else comes out of your mouth. 3) If you feel people are upset when you say something, that's an advantage. You can say it, acknowledge their dislike, and then use jokes to support your point. 4) Why mall cops and TSA agents are such funny characters: Someone with no power in the world is given three square meters of dominion and told, "You are the most powerful person here." 5) The best thing a comic can do is simply talk a lot. Over time you'll find yourself saying funny stuff and learn to recognize your best takes. 6) The perfect stand-up is someone who combines incredible stage presence with strong writing.

David Perell

129,180 次观看 • 4 个月前

sonnet 5 vs sonnet 4.6 vs opus 4.8 vs glm 5.2 – frontend tasks dropped sonnet 5 into a quick test today. same three prompts to all four models, single-shot html/canvas, no edits: • objects falling on a trampoline • rockets playing tennis • a slingshot breaking bottles ranked by speed (total across the 3 tasks): 1. opus 4.8 – 15m 09s 2. sonnet 5 – 16m 05s 3. glm 5.2 – 27m 18s 4. sonnet 4.6 – 35m 06s ranked by code shortness (total loc): 1. sonnet 5 – 1794 2. opus 4.8 – 2063 3. sonnet 4.6 – 2182 4. glm 5.2 – 3285 sonnet 5 came out on top here – leanest code overall and a near-tie for fastest it was also the most creative. in every task it added something none of the others did: – kept the trampoline vibrating after the objects landed – drew a +1 next to the rocket that scored the point – turned the slingshot to face the next bottle before each shot opus 4.8 evaluated the code sonnet 5 produced. four things stood out: • the sphere is a fake, and that's the smart move. the cube and star are real 3d meshes with proper culling and shading, but the ball is just a flat shaded circle. a lit sphere looks identical from every angle, so building it in 3d would burn compute for zero visible payoff. knowing where not to bother is its own kind of skill • weight actually means something on the trampoline. the star is heavy, so it barely bounces and dents the mat hard. the ball is light, so it's lively and leaves a shallow dip. the three objects aren't just different shapes – they have different temperaments, and the physics is what gives them that • the slingshot is framed like a shot, not just drawn. the handle is anchored below the bottom of the screen and runs off-frame, so it reads as something you're holding rather than a sprite parked in the scene. that's a staging instinct, not a rendering one • the paddle ai forward-simulates the ball to predict where it'll land, then adds a deliberate error bias (roughly 1 in 5 shots is a real miss). that's why scoring looks natural instead of robotic – plus four distinct fault types with a catch-all so a rally never hangs without a result bottom line: sonnet 5 does more with less. fastest tier, leanest code, and the only one that added small touches nobody asked for follow thehype. for 24/7 ai news, analysis and breakdowns

sonnet 5 vs sonnet 4.6 vs opus 4.8 vs glm 5.2 – frontend tasks dropped sonnet 5 into a quick test today. same three prompts to all four models, single-shot html/canvas, no edits: • objects falling on a trampoline • rockets playing tennis • a slingshot breaking bottles ranked by speed (total across the 3 tasks): 1. opus 4.8 – 15m 09s 2. sonnet 5 – 16m 05s 3. glm 5.2 – 27m 18s 4. sonnet 4.6 – 35m 06s ranked by code shortness (total loc): 1. sonnet 5 – 1794 2. opus 4.8 – 2063 3. sonnet 4.6 – 2182 4. glm 5.2 – 3285 sonnet 5 came out on top here – leanest code overall and a near-tie for fastest it was also the most creative. in every task it added something none of the others did: – kept the trampoline vibrating after the objects landed – drew a +1 next to the rocket that scored the point – turned the slingshot to face the next bottle before each shot opus 4.8 evaluated the code sonnet 5 produced. four things stood out: • the sphere is a fake, and that's the smart move. the cube and star are real 3d meshes with proper culling and shading, but the ball is just a flat shaded circle. a lit sphere looks identical from every angle, so building it in 3d would burn compute for zero visible payoff. knowing where not to bother is its own kind of skill • weight actually means something on the trampoline. the star is heavy, so it barely bounces and dents the mat hard. the ball is light, so it's lively and leaves a shallow dip. the three objects aren't just different shapes – they have different temperaments, and the physics is what gives them that • the slingshot is framed like a shot, not just drawn. the handle is anchored below the bottom of the screen and runs off-frame, so it reads as something you're holding rather than a sprite parked in the scene. that's a staging instinct, not a rendering one • the paddle ai forward-simulates the ball to predict where it'll land, then adds a deliberate error bias (roughly 1 in 5 shots is a real miss). that's why scoring looks natural instead of robotic – plus four distinct fault types with a catch-all so a rally never hangs without a result bottom line: sonnet 5 does more with less. fastest tier, leanest code, and the only one that added small touches nobody asked for follow thehype. for 24/7 ai news, analysis and breakdowns

thehype.

14,518 次观看 • 2 个月前

🚨New science DEBATE released on HIGH CARB vs KETO: What the new Tim Noakes vs Louise Burke debate actually shows 👇 American Journal of Clinical Nutrition just released it big debate between two of the biggest names in exercise performance asking one loaded question: does a low-carbohydrate diet impair endurance performance? On one side is Louise Burke, one of the most influential sports nutrition researchers in the world. Her argument: yes, low carb can impair performance? She is not saying every athlete must eat high-carb all the time. She is saying performance depends on the event, intensity, environment, training status, sex, and the athlete in front of you. Her biggest physiological point is fuel economy. Near an athlete’s oxidative ceiling (i.e., elite race pace), she argues that carbohydrate produces more usable energy per liter of oxygen than fat. So even if keto adaptation dramatically raises fat oxidation, that does not automatically mean better speed or power. Now I am skeptical of this point, since we have conducted Randomized Controlled Trails in both runners and ironman competitors and showed that athletes at 86% of their VO2max can utilize fat as the predominant fuel while on a very low carb diet and STILL maintain performance. On the other side, Tim Noakes argues: low carb does not necessarily impair performance when athletes are adapted long enough. He points out that many “keto hurts performance” studies are short, often under four weeks, and that several randomized trials lasting four to six weeks report similar performance between high-carb and low-carb groups. He also reframes fatigue. Instead of saying muscle glycogen is always the main limiter, he argues that during prolonged exercise, maintaining blood glucose, the small glucose pool is the most important. In our trial, 10 grams of carbohydrate per hour improved prolonged cycling performance after both diets. Noakes and Burke also did something really special: they developed a CONSENSUS article where they explored key points of AGREEMENT and DISAGREEMENT for future research. This is the coolest part and in my opinion was one of the verty unique aspect of these three studies My take is this: It is not "team high carb" versus "team keto." The weight of the evidence demonstrates that 1) BOTH high and low carb diets can work, and that 2) Carbohydrates during prolonged exercise are valuable...but 3) How this is applied depends on the individual athlete. What's your take?

🚨New science DEBATE released on HIGH CARB vs KETO: What the new Tim Noakes vs Louise Burke debate actually shows 👇 American Journal of Clinical Nutrition just released it big debate between two of the biggest names in exercise performance asking one loaded question: does a low-carbohydrate diet impair endurance performance? On one side is Louise Burke, one of the most influential sports nutrition researchers in the world. Her argument: yes, low carb can impair performance? She is not saying every athlete must eat high-carb all the time. She is saying performance depends on the event, intensity, environment, training status, sex, and the athlete in front of you. Her biggest physiological point is fuel economy. Near an athlete’s oxidative ceiling (i.e., elite race pace), she argues that carbohydrate produces more usable energy per liter of oxygen than fat. So even if keto adaptation dramatically raises fat oxidation, that does not automatically mean better speed or power. Now I am skeptical of this point, since we have conducted Randomized Controlled Trails in both runners and ironman competitors and showed that athletes at 86% of their VO2max can utilize fat as the predominant fuel while on a very low carb diet and STILL maintain performance. On the other side, Tim Noakes argues: low carb does not necessarily impair performance when athletes are adapted long enough. He points out that many “keto hurts performance” studies are short, often under four weeks, and that several randomized trials lasting four to six weeks report similar performance between high-carb and low-carb groups. He also reframes fatigue. Instead of saying muscle glycogen is always the main limiter, he argues that during prolonged exercise, maintaining blood glucose, the small glucose pool is the most important. In our trial, 10 grams of carbohydrate per hour improved prolonged cycling performance after both diets. Noakes and Burke also did something really special: they developed a CONSENSUS article where they explored key points of AGREEMENT and DISAGREEMENT for future research. This is the coolest part and in my opinion was one of the verty unique aspect of these three studies My take is this: It is not "team high carb" versus "team keto." The weight of the evidence demonstrates that 1) BOTH high and low carb diets can work, and that 2) Carbohydrates during prolonged exercise are valuable...but 3) How this is applied depends on the individual athlete. What's your take?

Andrew Koutnik, Ph.D.

15,181 次观看 • 4 个月前

glm 5.3 vs qwen 3.8 vs gemini 3.7 vs deepseek v4 flash four models designed and built three structures each on a physics-backed site, with no dimensions anywhere in the brief the setup: our own agent loop on OpenRouter, a construction site as the tool set – footings, walls, arches, roofs, scaffold, a lamp. the site enforces physics and nothing else: unsupported brick falls, a roof needs walls under it, a worker reaches 3.2 m above whatever he stands on, an arch needs centring until the keystone is set, concrete cures before it carries. no budget ceiling – material cost is tallied and reported, never blocked. tasks: 1. house – a plot and a palette, no plan. shape, height and material are the model's call 2. lighthouse – a headland cut by a gully, with a rock stack standing 30 m offshore. the lamp must burn, it must be the highest thing built, and the keeper must be able to walk to it 3. bridge – a river with one islet and banks at different heights. cross it however you want models: Z.ai glm 5.3 flash, Qwen qwen 3.8 flash, Google DeepMind gemini 3.7 flash, DeepSeek v4 flash vision all twelve objects were finished and signed off by the models themselves. tallest lighthouse is qwen's at 38.4 m, planted on the offshore stack with a bridge run out to it – the only model that read the site that way. deepseek signed off its bridge on an empty riverbed: 0 bricks, 107 minutes, $1.16m of material tallied - total cost, three builds #1 glm 5.3 flash – $0.201 #2 gemini 3.7 flash – $0.871 #3 qwen 3.8 flash – $1.058 #4 deepseek v4 flash – $1.567 - wall clock, three builds #1 gemini 3.7 flash – 91m #2 glm 5.3 flash – 228m #3 deepseek v4 flash – 502m #4 qwen 3.8 flash – 912m - total tokens #1 gemini 3.7 flash – 3,567,052 #2 glm 5.3 flash – 4,732,748 #3 qwen 3.8 flash – 13,469,333 #4 deepseek v4 flash – 18,230,076 - defects logged by the site #1 deepseek v4 flash – 59 #2 gemini 3.7 flash – 132 #3 glm 5.3 flash – 221 #4 qwen 3.8 flash – 350 - material tallied across three builds #1 gemini 3.7 flash – $359,884 #2 glm 5.3 flash – $583,358 #3 deepseek v4 flash – $1,327,484 #4 qwen 3.8 flash – $2,188,625 observations: • glm is the cheap one and nothing here is close – $0.201 for three buildings, $0.042 per million tokens, 6x under gemini's rate • what glm spends it on is bulk, not care: 166,228 bricks in one house and 156 defect weight, the worst single object in the set • gemini is the efficiency line – 91 minutes and 3.57m tokens for all three and an eighth of qwen's clock • gemini also builds the smallest of everything. its lighthouse is 22.5 m against qwen's 38.4, its house 6.9 m against 19.3 • qwen is the maximalist: 1.18m bricks, $2.19m of material, tallest on all three tasks, and 912 minutes – 15 hours – to get there conclusion: twelve finished objects for $3.80 all in, and a 7.8x price spread between the cheapest model and the priciest! follow thehype. for 24/7 ai news, analysis and breakdowns

glm 5.3 vs qwen 3.8 vs gemini 3.7 vs deepseek v4 flash four models designed and built three structures each on a physics-backed site, with no dimensions anywhere in the brief the setup: our own agent loop on OpenRouter, a construction site as the tool set – footings, walls, arches, roofs, scaffold, a lamp. the site enforces physics and nothing else: unsupported brick falls, a roof needs walls under it, a worker reaches 3.2 m above whatever he stands on, an arch needs centring until the keystone is set, concrete cures before it carries. no budget ceiling – material cost is tallied and reported, never blocked. tasks: 1. house – a plot and a palette, no plan. shape, height and material are the model's call 2. lighthouse – a headland cut by a gully, with a rock stack standing 30 m offshore. the lamp must burn, it must be the highest thing built, and the keeper must be able to walk to it 3. bridge – a river with one islet and banks at different heights. cross it however you want models: Z.ai glm 5.3 flash, Qwen qwen 3.8 flash, Google DeepMind gemini 3.7 flash, DeepSeek v4 flash vision all twelve objects were finished and signed off by the models themselves. tallest lighthouse is qwen's at 38.4 m, planted on the offshore stack with a bridge run out to it – the only model that read the site that way. deepseek signed off its bridge on an empty riverbed: 0 bricks, 107 minutes, $1.16m of material tallied - total cost, three builds #1 glm 5.3 flash – $0.201 #2 gemini 3.7 flash – $0.871 #3 qwen 3.8 flash – $1.058 #4 deepseek v4 flash – $1.567 - wall clock, three builds #1 gemini 3.7 flash – 91m #2 glm 5.3 flash – 228m #3 deepseek v4 flash – 502m #4 qwen 3.8 flash – 912m - total tokens #1 gemini 3.7 flash – 3,567,052 #2 glm 5.3 flash – 4,732,748 #3 qwen 3.8 flash – 13,469,333 #4 deepseek v4 flash – 18,230,076 - defects logged by the site #1 deepseek v4 flash – 59 #2 gemini 3.7 flash – 132 #3 glm 5.3 flash – 221 #4 qwen 3.8 flash – 350 - material tallied across three builds #1 gemini 3.7 flash – $359,884 #2 glm 5.3 flash – $583,358 #3 deepseek v4 flash – $1,327,484 #4 qwen 3.8 flash – $2,188,625 observations: • glm is the cheap one and nothing here is close – $0.201 for three buildings, $0.042 per million tokens, 6x under gemini's rate • what glm spends it on is bulk, not care: 166,228 bricks in one house and 156 defect weight, the worst single object in the set • gemini is the efficiency line – 91 minutes and 3.57m tokens for all three and an eighth of qwen's clock • gemini also builds the smallest of everything. its lighthouse is 22.5 m against qwen's 38.4, its house 6.9 m against 19.3 • qwen is the maximalist: 1.18m bricks, $2.19m of material, tallest on all three tasks, and 912 minutes – 15 hours – to get there conclusion: twelve finished objects for $3.80 all in, and a 7.8x price spread between the cheapest model and the priciest! follow thehype. for 24/7 ai news, analysis and breakdowns

thehype.

26,360 次观看 • 26 天前

Jamal Shead's Houston Cougars had a 125-19 record over 4 years. That's 87%. Between tournaments and regular season play, he played in a grand total of 138 games and lost just 18. That's 120-18..again 87%. He's currently the third string point guard on a team that's 7-20. That's 26%. In games he's actually played they're 7-18. Either way you slice it, Jamal Shead has lost more games in the pros already than he's lost in the past 4 years combined with Houston. That's a tough pill to swallow for a guy who values winning this much. So after leading the Raptors 905 to a win over the Maine Celtics 115-114, Shead sat on the bench as his team gave a lackluster effort against the Chicago Bulls... He checked into the game at the start of the fourth quarter with his team down 11 after sitting for three quarters. He put up 10 points, 6 assists and 4 rebounds, made 4/4 of his field goals and led the charge with a ridiculous 31.7 Box Plus Minus in 12 minutes of play, capping off his career best night with a buzzer beating 3 to close the gap to just 1. Jamal is a winner. And while he may not be shooting well or winning many games right now, it's only a matter of time before all of his winning habits translate to the NBA level. The Toronto Raptors have a very special rookie and very special person in Shead. And as Blake Murphy wrote as the headline of his feature article on Shead, all the guy does is win.

Jamal Shead's Houston Cougars had a 125-19 record over 4 years. That's 87%. Between tournaments and regular season play, he played in a grand total of 138 games and lost just 18. That's 120-18..again 87%. He's currently the third string point guard on a team that's 7-20. That's 26%. In games he's actually played they're 7-18. Either way you slice it, Jamal Shead has lost more games in the pros already than he's lost in the past 4 years combined with Houston. That's a tough pill to swallow for a guy who values winning this much. So after leading the Raptors 905 to a win over the Maine Celtics 115-114, Shead sat on the bench as his team gave a lackluster effort against the Chicago Bulls... He checked into the game at the start of the fourth quarter with his team down 11 after sitting for three quarters. He put up 10 points, 6 assists and 4 rebounds, made 4/4 of his field goals and led the charge with a ridiculous 31.7 Box Plus Minus in 12 minutes of play, capping off his career best night with a buzzer beating 3 to close the gap to just 1. Jamal is a winner. And while he may not be shooting well or winning many games right now, it's only a matter of time before all of his winning habits translate to the NBA level. The Toronto Raptors have a very special rookie and very special person in Shead. And as Blake Murphy wrote as the headline of his feature article on Shead, all the guy does is win.

Pensare Basketball

60,806 次观看 • 1 年前